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Immune Checkpoint Inhibition for Pancreatic Ductal Adenocarcinoma: Current Limitations and Future Options

Derya Kabacaoglu, Katrin J. Ciecielski, Dietrich A. Ruess and 1 more

Frontiers in Immunology · 2018 · Review

doi:10.3389/fimmu.2018.01878

Abstract

Pancreatic ductal adenocarcinoma (PDAC), as the most frequent form of pancreatic malignancies, still has a dismal prognosis. Due to its late detection most patients are ineligible for surgery, and chemotherapeutic options are limited. Tumor heterogeneity and a characteristic structure with crosstalk between the cancer/malignant cells and an abundant tumor microenvironment make PDAC a very challenging puzzle to solve. So far, targeted therapies have failed to substantially improve the overall survival of PDAC patients. Immune checkpoint inhibition, as an emerging therapeutic option in cancer treatment shows promising results in different solid tumor types and hematological malignancies. However, PDAC doesn’t respond efficiently to immune checkpoint inhibitors anti PD-1 or anti CTLA-4 alone or in combination. PDAC with its immune-privileged nature, starting from the early pre-neoplastic state, seems to escape from the anti-tumor immune response unlike other entities. Different mechanisms are postulated how cancer cells achieve immune-privileged status. Among them are decreased antigenicity and impaired immunogenicity via both cancer cell intrinsic mechanisms and an augmented immunosuppressive tumor microenvironment. Here we seek to shed light on the recent advances in both bench and bedside investigation of immunotherapeutic options for PDAC. Besides, we aim to compile recent data about how PDAC adopts immune escape mechanisms, and how these mechanisms might be exploited therapeutically in combination with immune checkpoint inhibitors such as PD-1 or CTLA-4 antibodies.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 21, 2026. Paragraph numbers are ours, so an answer can point at one.

Introduction

Pancreatic ductal adenocarcinoma (PDAC), as one of the most fatal malignancies in the world, is the fourth leading cause of cancer-related deaths among both men and women in developed countries. Its mortality almost equals its incidence: for 2018 alone, 55,440 diagnoses of pancreatic cancer are projected for the United States with 44,330 associated deaths in the same year. At the time of diagnosis, only a minority of patients have localized, resectable tumors (10%); while most patients display locally advanced disease (29%) and/or distant metastasis (52%), and the remainder are not even staged. The 5-year survival rate of pancreatic cancer is only around 7–8% in the United States, which is likely due to late stage diagnosis. The high number of estimated pancreatic cancer-related deaths can be hypothesized to be due to several factors: first, late and unspecific symptoms, as well as a lack of PDAC-specific markers or screening resources result in late diagnosis at an advanced stage. Second, delayed diagnosis leads to low resection rates, since most of the tumor patients present with locally advanced or metastatic disease. And third, PDAC is characterized by a low response to radiotherapy (RT) and chemotherapy, which, at least in part, is due to its dense desmoplastic stroma impairing drug delivery. Also, targeted therapies including small drug inhibitors of key molecular signaling pathways associated with PDAC progression showed almost none (i.e., MEK and PI3K) or only mild benefits (e.g., EGFR) with a moderate increase in overall survival. Recent advances in chemotherapeutic options for PDAC appear to provide a survival benefit that will likely not be sufficient to decrease mortality rates. Hence, in developed countries, PDAC is expected to be the second leading cause of cancer-related deaths by 2030. Impaired efficacy of chemotherapy or targeted therapies in cancer was associated with innate and acquired resistance through genetic and epigenetic instability of cancer cells. Immunotherapy offers great potential for the treatment of tumors displaying such resistance. Especially T cells with their ability to generate receptors recognizing the heterogeneous and specific repertoire of tumor-related antigens provide great promise in cancer therapeutics. The adaptive immune response might even form an immunological memory providing long-term tumor control. Studies revealing how T cells function under pathophysiological conditions led to development of immune checkpoint inhibitors, which have been successfully translated into the clinic. Thus far, immune checkpoint inhibition (ICI) has shown promising results for the treatment of solid tumors, including melanomas, as well as lung, renal, bladder, and head and neck cancers, as well as in hematological malignancies, such as Hodgkin’s disease and follicular or diffuse-large B-cell lymphoma. Although single-agent treatment with immune checkpoint inhibitors showed great promise with many solid tumors, their effect on PDAC has been quite disappointing.

Here, we want to discuss the unique characteristics of PDAC immune evasion and why PDAC is unresponsive toward checkpoint inhibition. First, we will provide details concerning immune checkpoint inhibitors and their mechanism of action. Second, the immune-privileged nature of PDAC will be examined. Then, the antigenic and immunogenic attributes of PDAC and how tumor cell-intrinsic and -extrinsic factors within the tumor microenvironment (TME) regulate immunogenicity will be comprehensively discussed, including options for pharmacological modulation of these mechanisms to increase ICI therapy response in the clinic.

Immune Checkpoint Inhibitors

T cells with their various subsets are involved in the regulation of immune responses in autoimmune diseases, but also against infections and cancer. In TME or in tumor-resident lymph nodes, professional antigen-presenting cells (APCs) such as dendritic cells (DCs) display tumor-specific antigens to naïve T cells through major histocompatibility complexes (MHCs) in a process called priming. Antigen presentation through MHC-class II acts on naïve CD4+ T cells, giving rise to Th1, Th2, and Foxp3+ regulatory T cell (Treg) subtypes, which are all important for immune response orchestration: Th1 polarization induces cytokines (characterized mainly by IFNγ production) further augmenting MHC expression in APCs and antitumor T cell and macrophage cytotoxic activity. Th2 polarized cells are characterized by IL-4 and IL-13 production, leading to exhaustion of T cells and enhancement of other tumor-promoting responses. Tregs get activated once the effector T cell activation reaches a threshold. With the release of immunosuppressive cytokines (TGFβ and IL-10) Tregs negatively regulate T cell effector function. On the other hand, antigen presentation through MHC-class I leads to differentiation of naïve CD8+ T cells into cytotoxic T lymphocytes (CTLs), which are directly able to kill antigen-expressing cancer cells. Upon MHC:antigen engagement, activated T cells clonally expand in secondary lymphoid organs, and traffic into the inflammatory sites to execute their functions and release intermediary cytokines and ligands to provoke helper immune cells for further support.

T cell-mediated immune response is tightly regulated via both the repertoire of immunosuppressive cells in the microenvironment and cell-intrinsic regulation of anergy and exhaustion. T cell anergy is the state of T cells in which they are hyporesponsive to triggers of naïve T cell differentiation. And T cell exhaustion describes a process by which effector T cells become resistant to persistent reactivation. Under physiological conditions, T cell activation upon MHC engagement is balanced via co-regulation of both stimulatory and inhibitory signals, referred to as immune checkpoints. The balance between stimulatory and inhibitory signals is crucial to generate self-tolerance and to maintain the ability to fight with non-self. However, tumor cells shift this balance toward their benefit by abrogating co-activatory signals and augmenting co-inhibitory signals ultimately heightening anergy and exhaustion.

Cytotoxic T lymphocyte-associated antigen 4 (CTLA-4 or CD152) and programmed cell death protein 1 (PD-1 or CD279) are the most studied co-inhibitory receptors of T cell receptor (TCR) signaling. The first antibody against CTLA-4, ipilimumab, was approved in 2011, while pembrolizumab and nivolumab, antibodies that both target PD-1, were approved in 2014 for the treatment of melanoma. The clinical success of antibodies targeting CTLA-4 and PD-1 marks a breakthrough as these agents established immunotherapy as a new pillar of cancer treatment strategies next to surgery, chemotherapy, and radiation therapy.

After TCR engagement with cognate peptide presented by a MHC molecule, costimulatory receptor CD28 binding with CD80 (B7.1) or CD86 (B7.2) amplifies TCR signaling. CTLA-4, on the other hand, has higher affinity for CD80 and CD86, outcompeting CD28 binding, and subsequently sequestering CD80 and CD86 from the APC surface. Initial TCR activation with CD28 co-activation increases IL-2 release, which induces metabolism, proliferation, and survival in a paracrine manner. However, gradual CTLA-4 accumulation on the T cell membrane replaces the activation signal of CD28, blocking IL-2 accumulation. Since B7 proteins are expressed on APCs but not on solid tumor cells, the action of CTLA-4 inhibition is thought to take place in secondary lymphoid organs where early T cell activation occurs. CTLA-4 action on CD8+ CTLs is inhibitory, as shown in several studies. Still, the overall inhibitory action of CTLA-4 is thought to mainly show itself through its action on CD4+ Foxp3+ Tregs, indirectly modulating CD8+ CTL action. Tregs produce CTLA-4 constitutively through the action of their subset defining transcription factor Foxp3. Deletion of CTLA-4 in Tregs reduces their activity, blocking their immune-suppressive action. Still, use of CTLA4 antibodies in preclinical mouse models of PDAC did not affect Treg infiltration in tumors while enhancing total CD4+ T cell presence. Tregs might also mediate effector T cell activation through APCs, impairing their B7 ligand expression, and thereby decreasing the CD28 co-activation signal on effector T cells. Overall, CTLA-4 engagement downregulates effector T cell activity, while enhancing Treg immunosuppressive activity. Inhibiting CTLA-4 action might enhance immunosurveillance through both its action on effector and Tregs.

Programmed cell death protein 1 belongs to the family of CD28 proteins, initiating co-inhibitory signaling upon TCR engagement. Ligands of PD-1 receptor PD-L1 (B7-H1 or CD274) and PD-L2 (B7-DC or CD273) belong to the B7 family of proteins. PD-1 is expressed mostly on late effector phase CD4+ helper T cells and CD8+ cytotoxic T cells in peripheral tissues. Especially chronically activated, then exhausted CD8+ cytotoxic T cells show constitutive PD-1 production. Therefore, PD-1 action is mostly associated with the late phase of immune response, which counterbalances cytotoxic T cell activity. PD-1 is also expressed on Tregs and PD-1 blockage leads Treg apoptosis. Also, PD-L1 stimulation of naïve T cells can skew differentiation toward the Treg subset. Therefore, anti-PD-1 treatment might show an indirect effect on antitumor T cells through its inhibitory actions on Tregs.

Programmed cell death protein 1 knock out mice show reduced peripheral tolerance and display autoimmunity, with a milder phenotype compared with CTLA-4 knock out mice. There is a prominent difference between CTLA-4 and PD-1 effects. Anti-CTLA-4 action mostly results in changes in secondary lymphoid organs during the initial phase of naïve T cell activation, while anti-PD-1 treatment targets the effector phase of T cell activation in the periphery where the activated T cells attack the target. In addition, CTLA-4 is mobilized to the cell membrane upon TCR engagement in naïve T cells directly from the protein stores, implicating its importance for initial T cell activation. By contrast, PD-1 transport requires an initial transcriptional production causing a 6–12 h delay in response upon TCR engagement. Considering the differences in mode of action between CTLA-4 and PD-1, PD-1 blockage is thought to be effective in TME. Tumor-infiltrating lymphocytes (TILs) in the TME are frequently exhausted due to chronic exposure to the tumor antigens and PD-L1 directly produced by the tumor cells or anti-inflammatory cells of the TME. Anti-PD-1 or anti-PD-L1 therapy aims to reduce this exhausted state of TILs in the TME. Of note, PD-1 blockage (e.g., nivolumab) shows milder autoimmunity-related side effects than anti-CTLA-4 treatment (e.g., ipilimumab) in melanoma patients. Considering anti-CTLA-4 and PD-1 therapy has implications in different phases of immune response, combination therapy with nivolumab and ipilimumab showed prolonged progression free survival and a higher objective response rate than ipilimumab alone, albeit with concomitant higher toxicity.

The Immune-Privileged Nature of PDAC: Immunosurveillance and Immunoediting

The immunosurveillance hypothesis was proposed by Paul Ehrlich in the early 1900s and later developed further by Thomas and Burnet. As a very important concept for cancer immunotherapy, immunosurveillance states that immune cells continually survey somatic cells for any malignant transformation to then destroy them. The concept of cancer immunoediting is a byproduct of the immunosurveillance process, in which cancer cells undergo a Darwinian-like selection for their capacity to evade an attack by the immune system. The concept of tumor immunoediting proposed by Schreiber and colleagues in 2002 states three different phases of tumor immunoediting: elimination, equilibrium, and escape (i.e., triple E hypothesis) (Figure 1). As being more comprehensive than immunosurveillance, immunoediting proposes that not only innate immunity but also adaptive immunity is involved in the elimination process of tumor cells. During the equilibrium phase, tumor cell variants surviving the dynamic but relentless pressure of adaptive and innate immunity undergo a Darwinian-like selection. At the end of the equilibrium phase, many of the tumor cells are dead, whereas new clones generated, likely through genetic instability with better resistance to the immune response, remain. In the escape phase, survivors of the equilibrium phase start to expand in numbers, maintaining an immune-privileged state.

Before the wide use of genetically engineered mouse models (GEMMs) of PDAC, human or mouse tumor transplantation into mice had been the main model for preclinical studies of therapeutic response. To eliminate simple tissue rejection of tumor xenografts, mostly immune-incompetent mouse models had been utilized. However, these models are unsuitable for studies of the immune response toward tumors. Furthermore, syngeneic murine transplantation models do not provide information regarding the tumorigenesis process. GEMMs for PDAC harboring pancreas-specific expression of mutant Kras recapitulate carcinogenesis of human PDAC, as pre-neoplastic lesions (PanIN) reliably progress to invasive and metastatic cancer. In this mouse model, CD45+ leukocytes were shown to accumulate in time as the disease progresses. However, CD4+ T cells observed in PanIN lesions were mostly of the Foxp3+ Treg subtype, accompanied by an abundance of myeloid-derived suppressor cells (MDSCs) and M2 macrophages. Strikingly, infiltration by CD8+ antitumor cytotoxic T cells was very scarce in early PanIN lesions, and only a small portion of advanced tumors actually showed presence of active CD8+ CTLs. This spontaneous carcinogenesis model of PDAC highlights the immune-privileged status of PDAC even in the early neoplastic state. Unlike for many other solid tumors, the elimination phase of the triple E hypothesis is almost absent or substantially impaired during murine carcinogenesis due to the scarcity of cytotoxic immune cells and the abundant presence of immunosuppressive cells. Thus, ablation of T cells did not affect the spontaneous formation of cancer in KPC models (LSL—KrasG12D/+; LSL—Trp53R172H/+; Pdx—1Cre). However, ectopic expression of a strong neoantigen (e.g., ovalbumin) in cancer cells boosted T cell-mediated immunity, rescuing the elimination phase of the immunoediting sequence. Expression of a single, yet strong, neoantigen thus allowed tumor control via CTL infiltration and “Triple E” (immune active) immunoediting. This implies that the scarcity of neoantigens in PDAC is not a result of the elimination step of immunoediting, but rather due to an alternative mechanism more like immune quiescence (Figure 2). Because of immune quiescence in tumors with low basal adaptive immune activation, CTLs cannot invade into the TME to initiate conventional immunoediting during carcinogenesis, which is true for the KPC model. This model represents human PDAC fairly well, showing an “immune quiescence like” phenotype rather than an “immune active” one. Reduced CD8+ CTL and increased CD4+ Foxp3+ Treg infiltration in progressive PDAC has also been validated in human patient samples.

In summary, PDAC frequently does not undergo a Darwinian-like selection with respect to the adaptive immune response. Thus, it retains vulnerability toward the natural T cell repertoire. Thus, strategies boosting T cell priming, activation levels, and attraction are promising for the treatment of this cancer.

Factors Determining the Efficacy of ICI and Failure in PDAC

Two important factors determine the prospects of immunotherapy of cancer in general, and checkpoint inhibition, in particular, antigenicity and immunogenicity, the latter being modulated by both intrinsic properties of tumor cells and TME (Figure 3). Considering the, to date, low efficacy of immunotherapy, and especially checkpoint inhibition in PDAC, a better understanding of the immune escape mechanisms present in PDAC will pave the way for combination factors of checkpoint inhibition for the treatment of this generally intractable disease. A list of selected preclinical mouse model studies focusing on ICI combination therapies in PDAC can be found in Table 1.

Antigenicity

Antigenicity refers to the ability of tumor cells to produce and present tumor-specific antigens (TSA) and tumor-associated antigens (TAAs) to the adaptive immune system. The bottlenecks of antigenicity include the range of TAA and TSA production, and their ability to be presented to the immune system through MHC complexes (human leukocyte antigen—HLA—in humans). TAAs are overexpressed in cancer cells while their expression is low in normal cells, whereas TSA subtype neoantigens are produced de novo upon mutational changes of tumor cells. These mutations can favor neoantigen tethering to MHCs, produce a new residue on neoantigens increasing TCR recognition, or generate a proteolytic cleavage site, providing better processing for antigen presentation. Since TSAs are expressed only in malignant cells, they provide great specificity for T cell cytotoxicity. Epigenetic regulation of TAAs in tumor cells can also represent an important target for T cell action. In melanoma patients, even tumors with a low mutational burden, but with a high expression of TAAs, which is likely mediated by epigenetic mechanisms, showed considerable response to immunotherapy.

Cancers with high mutation rates such as melanoma, bladder cancer, and lung cancer show better response to check point inhibition compared with other types with a lower mutational burden, for instance, PDAC. Especially tumors with mismatch repair (MMR) deficiency or with more microsatellite instability (MSI) are shown to respond better to immunotherapy. As a matter of fact, impairing MMR through genetic inactivation of mutL homolog 1 gene (MLH1) in PDAC mouse models provoked hypermutation, triggering more neoantigen production. This, in turn, prolonged immunosurveillance with better therapeutic response to immune check point inhibitors (Figure 2). Humphris et al. reported that among the 385 resected patient samples only 1% of showed MSI with inactivation of MLH1 and MSH2 (mutS protein homolog 2). This may provide a possible explanation for low response rate to immunotherapy in PDAC. Pembrolizumab, a PD-1 antibody, was approved by the Food and Drug Administration in 2017 for solid tumors with MMR defects or MSI, including PDAC. Use of DNA damage response (DDR) inhibitors may also enhance the genetic instability of the cancer cells upon exposure to DNA damaging agents, increasing the production of neoantigens. On the other hand, DDR inhibition may show a tumorigenic effect by acting on antitumor immune cells. Still, mutational load is not a reliable biomarker for the prediction of response to immunotherapy, considering the patients who were not responding to immunotherapy even if they had a high mutation burden. Likewise, tumors with a low mutational load, such as renal cell carcinomas, responded well to immunotherapy.

Recently, Balachandran et al. described a neoantigen quality fitness model identifying long-term survivors of PDAC via selecting neoantigens with great resemblance to disease derived peptides. On the other hand, a neoantigen quantity model showing more immunosurveillance in response to increasing neoantigen numbers revealed no long-term survivors by itself. Only tumors showing both, high neoantigen numbers and abundant CD8+ cytotoxic T cell infiltration, were associated with a significant survival benefit for the patients. Supporting the immune quiescence-like phenotype of PDAC, a modest decrease in high-quality neoantigen transcript levels was seen. More strikingly, they identified a loss of high-quality neoantigen expression in metastatic tumors compared with their primary counterparts. In conclusion, identification of hotspot neoantigens and methods to exploit or target them may increase the response to checkpoint inhibition, not only regarding the primary tumor but also regarding metastatic lesions.

Another mode of reduced antigenicity is the loss of antigen presentation, which can reduce immunosurveillance either by blocking priming of naïve T cells, or by making cancer cells invisible to effector T cell function. In other cancer types, reduced antigen presentation was achieved by downregulation of MHC class proteins or impaired antigen processing and shuttling. Oncogenic RAS signaling was shown to reduce antigen presentation in different cancer types, including PDAC. Also, HLA-1 and transporter for antigen presentation production was demonstrated to be reduced in human PDAC specimens. Manipulating cancer cells for enhanced antigen presentation can reinforce the checkpoint inhibition response.

As a matter of fact, Pommier et al. recently showed that disseminated cancer cells (DCCs, metastatic, quiescent single cancer cells) are undergoing a Darwinian-like selection during immune surveillance of metastasis. These investigators elegantly showed that only the metastatic cancer cells, negative for MHC-I and CK-19 expression on the surface, could form DCCs, avoiding T cell-mediated killing in pre-immunized mice. ER stress was the barrier for DCCs to maintain a quiescent state, and also to escape from T-cell-mediated immunity. Therefore, to form macrometastasis, in addition to ER stress relieve, a systemic immunity depletion was required. All these results show how important it is for cancer cells (both primary and metastatic tumor cells) to have good quality neoantigens, and a competency to present neoantigens through MHC complexes to immune cells.

The correlation between total neoantigen load and checkpoint inhibition response is absent in PDAC unlike in other, immunogenic tumors, such as melanoma or lung cancer. This implies that other factors, determined by the immunogenic properties of PDAC, play an important role in the response to immunotherapy of this malignancy.

Immunogenicity

Immunogenicity of cancer refers to its ability to induce an adaptive immune response. Based on comprehensive integrated genomic analysis, PDAC was classified into different subgroups by several studies. RNA expression analysis identified an immunogenic subtype of PDAC in 25 among 96 PDAC patient specimens. This subtype is associated with an increased immune cell infiltration, and enriched signatures such as CD4+ and CD8+ T cell signaling, antigen presentation, B cell signaling, and most notably CTLA-4 and PD-1 signaling. Signatures enriched in immunogenic subtype might represent predictive biomarkers for immunotherapeutic response in PDAC.

Cytolytic activity is determined by the transcription levels of granzyme A (GZMA) and perforin (PRF1), which are known cytotoxicity markers of CD8+ T cells. Interestingly, genetic amplification of MYC and/or deletion of CDKN2A/B were associated with reduced cytolytic activity in TCGA PDAC datasets. Mutant Kras-mediated immunosuppression via GM-CSF or IL17R production might be another reason for impaired cytolytic activity in PDAC. Other than oncogenic drivers, stromal composition may have an impact: PDAC with so-called “normal” stroma (i.e., a good version of stroma, characterized by high ACTA2, VIM, and DES pancreatic stellate cell-PSC markers) was associated with a higher cytolytic activity. Considering various factors determine cytolytic activity other than neoantigenic capacity, it is important to adapt individualized precision immunotherapy covering different determinants of immunogenicity in PDAC. For an ease of understanding, the determinants of immunogenicity can be divided into two: intrinsic and extrinsic factors.

Intrinsic Determinants of Immunogenicity

Antigenic tumors can still evade ICI therapy via downregulation of tumor cell-intrinsic immunogenicity. In various cancers, stimulation of oncogenic pathways such as PI3K, MYC, TAZ, and JAK-STAT through either excessive ligand production or their mutations induces constitutive PD-L1 production (Figure 2). Myeloid cell induction of EGFR and MAPK signaling in PDAC cells enhanced PD-L1 production inhibiting CD8+ T cell infiltration. The expression of PD-L1 in various tumors was associated with higher immune cell infiltration and the presence of lymphoid aggregates, and tumors with naturally high levels of PD-L1 in these showed comparably high response rates to anti-PD-1 or anti-PD-L1. Regulation of PD-L1 and other checkpoint inhibitors or oncogenic signaling cascades in cancer cells also constitute an important place for the regulation of tumor immunogenicity.

Although initial IFNγ production is favorable for CTL activity, chronic exposure may lead to immunoediting in tumor cells. As a result of this, tumors develop genetic or epigenetic modifications in IFNγ signaling components such as IFNγ receptors (IFNGR1 and IFNGR2), JAK-STAT pathway components and IRF1 transcription factors. A loss of function mutation on Apelin receptor has recently been identified impairing IFNγ induced JAK-STAT signaling cascade in melanoma. Although IFNγ is considered to be antitumorigenic, its induction of PD-L1 transcription in cancer cells might positively correlate to anti-PD-1 or PD-L1 therapy response in established tumors. Since IFNγ exposure of cancer cells induces PD-L1 production, mutations in IFNγ signaling components JAK1 and JAK2 would lead to clonal evolution of PD-L1-negative tumor cells, which are not responsive to anti-PD-1 treatment. Although no such mutations have been identified in PDAC, personalized medicine can favor the prediction of checkpoint inhibition response through identification of these type of mutations.

Several solid tumors including PDAC showed anti-PD-1 resistance signatures (IPRES) such as enhanced mesenchymal transformation, cell adhesion, extracellular matrix modeling, angiogenesis, hypoxia, and wound healing in TCGA datasets. Overall, the differential mutational and transcriptional landscape of tumors does not only determine neoantigen quality and quantity but also regulates several signaling pathways responsible for intrinsic and extrinsic properties of immunogenicity in cancer.

Extrinsic Determinants of Immunogenicity: Modulation of TME

Cytotoxic T lymphocyte infiltration into the TME is essential for ICI therapy. Even if the anti-tumor CTL infiltration is seen in many tumor types, PDAC represents an outlier in this manner. Starting from the premalignant lesions, its microenvironment restricts the cytotoxic T cell infiltration. The cytotoxic T cell function is limited through the actions of immunosuppressive cells in the TME such as cancer-associated fibroblasts (CAFs), myeloid cells, and inhibitory actions of some T cell subsets, albeit they infiltrate in the TME. In support of this, strategies eliminating immunosuppressive populations in the TME enhanced CTL infiltration in various cancers. To shift the immunosuppressive environment to a non-immune-privileged status, it is important to be aware of the individual components of the TME and to know how to modulate them.

Stromal Remodeling

The characteristic abundant desmoplastic stroma of PDAC can be both beneficial and harmful in terms of carcinogenesis. Studies showed that transplantation of PDAC cancer cells with pancreatic stellate cells increased tumorigenic potential and metastasis. However, depletion of stroma in preclinical mouse models also revealed further accumulation of Tregs in the TME showing the dual nature of stromal compartment. In a study performed on human PDAC tissues, the fibrotic reaction did not impair TIL infiltration, rather fibrosis associated collagen-I amount positively correlated with effector T cell presence. However, previous studies showed the inhibitory actions of αSMA+ CAFs on CD8+ CTLs in PDAC TME. These results indicated the presence of (?) tumor heterogeneity not only in terms of cancer cells but also stromal compartments of PDAC.

One study revealed that depletion of CAFs could actually be employed to increase the immunotherapy response of PDAC: fibroblast activation protein (FAP+) CAFs were shown to induce chemokine (C-X-C motif) ligand 12 (CXCL-12) mediating immunosuppression through limiting effector T cell infiltration. Targeted inhibitors of FAP+ CAFs or CXCL-12 chemokine (C-X-C motif) receptor (CXCR-4) inhibition via AMD3100 increased CD3+ T cell accumulation and revealed a synergistic effect with anti-PD-L1 therapy in mouse models.

Further studies focusing on focal adhesion kinase (FAK) showed FAK inhibition in cancer cells can remodel stroma, inhibiting immunosuppressive TME cells. Combination of FAK inhibitor with gemcitabine and anti-PD-1 increased CD8+ CTL infiltration, reducing tumor burden and prolonging overall survival. Even though single agents targeting FAK inhibition in PDAC showed no objective response in clinic, trials combining iFAK (vs.-4718) with gemcitabine and anti-PD-1 are ongoing (NCT02758587).

The importance of interleukin 6 (IL-6) signaling in PDAC has been shown by several groups revealing its importance on both carcinogenesis and persistency. CAFs are also responsible for the production of pro-inflammatory cytokines other than myeloid cells such as IL-6. Unfortunately, clinical trials targeting IL-6 alone demonstrated no benefit. However, preclinical studies targeting IL-6 in combination with PD-L1 showed decreased αSMA+ stromal cells and increased CD3+ lymphocyte infiltration in KPC and Panc02 subcutaneous and orthotopic transplantation models and a survival benefit in the KPC-Brca2 autochthonous mouse model.

Hyaluronan, an extracellular matrix component, is a linear glycosaminoglycan in PDAC, associated with multiple markers of aggressiveness of cancer for instance increased cell proliferation, invasion, and metastasis. High hyaluronan expression correlates with worse prognosis in PDAC patients. Several drugs have been developed to deplete stromal hyaluronan, such as PEGPH20. In preclinical models, hyaluronan depletion via PEGPH20 remodeled stroma, decreased interstitial fluid pressure, and increased drug delivery by enhancing micro-vessel permeability. As PEGPH20 increased delivery of chemotherapeutic agents in PDAC preclinical models, the same was seen for monoclonal antibodies (trastuzumab) in breast cancer. With the use of transplanted and autochthonous PDAC mouse models, Salmonella-based IDO-1 depletion was also enhanced with (by means of gibi mi?) PEGPH20 treatment. Vitamin D receptor (VDR) was identified as a PSC master regulator for dynamic regulation of stromal composition. Treatment with VDR ligand reduced inflammation and enhanced gemcitabine delivery and efficacy in a mode of action similar to hyaluronan depletion. Based on these results, hyaluronan depletion or VDR activation appear as promising combination partners of checkpoint inhibitor monoclonal antibodies in clinical trials.

Modulation of Immunosuppressive Myeloid Cells

Tumor-associated macrophages (TAMs) differentiate from resident macrophages or mobile inflammatory monocytes. TAM polarization can be both beneficial and harmful in terms of carcinogenesis. M1 differentiation of TAMs is known to be antitumorigenic due to their tumoricidal nature via releasing pro-inflammatory cytokines. By contrast, the M2 subtype is pro-tumorigenic, since it suppresses immunosurveillance by secreting anti-inflammatory cytokines, e.g., TGFβ and IL-10 or by remodeling tumor stroma. Consistent with this, expression of M2-related markers such as CD204 and CD163 negatively correlate with patient survival. Derived from immature cells of myeloid origin, MDSCs are known for their neoangiogenic and immune-suppressive activities in TME. MDSCs have been shown to inhibit CTL activity by recruiting Treg subset, modulating amino acid reserves in TME, and pushing T cells toward apoptosis via ROS production. Also, the presence of immunosuppressive cells such as M2 macrophages, Tregs, and MDSCs in PDAC negatively correlates with overall survival. Both pro- and antitumorigenic properties of neutrophils in cancer are reported, and their inhibitory action on CTL activity is known to be mediated by various mechanisms. Considering the complexity of immune cells in TME and their crosstalk with T cell activity, it is challenging but important to modulate these mechanisms to boost ICI response in cancer.

Cluster of differentiation 40 (CD40) is a member of the tumor necrosis factor receptor superfamily and is expressed on APCs including monocyte subsets, DCs, macrophages, and B cells. CD40 signaling is important for licensing APCs (to maximize their capacity to present antigens) followed by cross-priming of CD8+ CTL in lymph nodes. CD40 agonists mediated an enhancement of adaptive antitumor immunity in preclinical mouse models in various cancer types. By contrast, treatment of KPC mice with CD40 agonist (FGK45) and gemcitabine transiently blocked PDAC development through re-education of tumor-infiltrating macrophages and stromal remodeling, but was not able to invoke an adaptive antitumor immune response. On the other hand, subcutaneous transplantation of KPC cancer cells into syngeneic mice revealed that the same treatment strategy induced an adaptive immune response with CD4+ and CD8+ T cell infiltration. Consequently, the authors used another “two tumor” model, in which intact KPC tumors (cancer cells with intact TME) were transplanted into endogenous tumor-bearing KPC mice. Here, gemcitabine with FGK45 treatment induced a CD4+ and CD8+ T cell infiltration into subcutaneous tumor but only CD4+ infiltration into endogenous tumor. The barrier for CD8+ repletion in spontaneous tumors was exceeded through systemic macrophage depletion. Upon deeper analysis, Ly6Clow F4/80+ macrophages residing in vicinity of PDAC TME were identified as the responsible physical barrier for CTL infiltration. In a similar manner, CTL-mediated antitumor immune responses were not seen in clinical trials with CD40 agonists in various cancers even with the addition of gemcitabine to increase tumor immunogenicity. CD40 agonist treatment finally acted as a checkpoint co-activator through its action on APCs inducing T cell priming upon gemcitabine/nab-paclitaxel dual treatment. In conclusion, PDAC retains its antigenic properties to induce both innate and adaptive immune response. This antigenicity might be increased through the use of chemotherapeutics or targeted therapy. Yet, since PDAC is immunologically cold (i.e., very scarce resident CTL infiltration) to respond to increased antigenicity, mechanisms to enhance CTL infiltration must be elucidated. Combination of gemcitabine with nab-paclitaxel remodels TME to permissive conditions for CTL infiltration, but not with gemcitabine alone. Furthermore, once T cell priming barrier is exceeded through CD40 agonist treatment, CTL activity might be more expedited with checkpoint inhibitor usage.

C-X-C motif chemokine receptor 2 (interleukin 8 receptor beta, CXCR-2) is a G-protein-coupled receptor for various CXCL ligands including IL-8. CXCR-2 in a cell type-specific manner can act both as a tumor suppressor where it induces senescence in premalignant lesions of PDAC and as tumor promoting via enhancing neutrophil and MDSC recruitment to TME. Through inhibition of CXCR-2 either genetically or pharmacologically with CXCR-2 pepducin or AZ13381758 inhibitors, Steele et al. showed an enhanced response to anti-PD-1 therapy and decreased metastasis in PDAC. The enhanced therapy response is reasoned by reduced infiltration of monocytes and MDSCs, which augments T cell infiltration in TME. Also, they propose that stromal remodeling through T cell recruitment might enhance gemcitabine efficacy in tumors.

Colony-stimulating factor 1 receptor (CSF1R) is an important regulator of TAMs’ differentiation and sustenance in microenvironment. Therefore, inhibition of CSF1R is considered to have potential for cancer therapeutics. Yet, single-agent use targeting CSF1R did not yield clinical benefits in various tumor types. In mouse models, treatment of PDAC with CSF1R inhibitors enhanced antitumor immune response; however, this effect was diminished due to the production of checkpoint proteins such as PD-L1 and CTLA-4. Combination of checkpoint inhibitors with CSF1R blockage showed regression of tumors in mouse models. CSF1R inhibition was shown to have an effect not only on TAMs but also on CAFs in various subcutaneously transplanted mouse models. Recently, CSF1R blockage was shown to enhance the production of granulocyte-specific chemokine expression such as CXCL-1 by CAFs increasing polymorphonuclear MDSC (PMN-MDSC) recruitment as a resistance mechanism. PMN-MDSC cells are known for their pro-tumorigenic and anti-immunogenic properties. Therefore, combination treatment of CSF1R and CXCR2 inhibitors (see above) targeting, respectively, both TAMs and MDSCs enhanced anti-PD-1 therapy response in transplanted tumor models. Considering response enhancement by usage of either CXCR2 or CSF1R inhibitor in combination with immune checkpoint inhibitors, simultaneous use of the three might exploit a broader benefit for therapy response also in PDAC.

B Cells

Bruton’s tyrosine kinase (BTK) is an enzyme expressed in B cells, macrophages, and mast cells, and targeting BTW in combination with ibrutinib was shown to be effective in chronic lymphocytic leukemia, Mantle cell lymphoma, and Waldenstrom’s macroglobulinemia. Besides targeting BTK, ibrutinib also inhibits interleukin-2-inducible T-cell kinase in T cells, skewing Th differentiation toward Th1. Because of this effect, dual combination of ibrutinib with anti-PD-L1 inhibitor was shown to have a synergistic effect in a T cell-dependent manner, but not MDSC dependently in studies with mouse transplantation models of lymphoma, breast, and colon cancer. In various PDAC preclinical mouse models, ibrutinib demonstrated its antitumorigenic effect via depletion of macrophage deposition and fibrosis. In another study, on the other hand, ibrutinib enhanced macrophage production of Th1 differentiation cytokines, while inhibiting Th2, and augmenting the CD8+ cytotoxic T cell deposition in tumors. The effect on macrophage activity was also dependent on B cells, and B cell-specific BTK signaling, still there was no change in fibrosis. Based on these results, checkpoint inhibition in combination with BTK inhibitor ibrutinib might enhance the therapeutic benefit of single use of each in PDAC, accordingly clinical trials are ongoing.

γδT Cells (γδT)

T cells are broadly divided into two subtypes based on the antigen receptor types they express: αβT and γδT. While 95% of the CD3+ T cells in blood express αβTCR (includes CD4+ and CD8+ T cells) recognizing MHC class I–II, 5% have γδTCR which does not require MHC engagement for activation: γδT are cytolytic through the release of inflammatory cytokines. There are conflicting data about the function of γδT in PDAC, with both pro- and antitumorigenic potential. Isolated γδT were shown to be tumoricidal to PDAC cell lines in vitro. By contrast, in mouse models, pre-neoplastic lesions with KRASG12D were shown to recruit IL-17-expressing immune cells including γδT, which accelerated carcinogenesis through IL-17 receptor oncogenic signaling. In support of this, genetic and therapeutic depletion of γδT in mouse models prolonged survival. Other than the IL-17-mediated oncogenic effect on PanIN lesions, γδT directed checkpoint receptor inhibitory action (through galectin-9 and PD-L1 expression) on αβT cells, accelerating carcinogenesis. While ablation of CD4+ and CD8+ T cells had no impact on PDAC generation and persistency, this was different upon δTCR knock out: γδT cell deletion increased CD8+ CTL and CD4+ Th1 tumor infiltration, and skewed CD4+ differentiation toward the Th1 type. More importantly, the immunosuppressive action of γδT cell was not due to an effect on MDSCs or TAMs; instead, it was directly dependent on checkpoint co-inhibitory receptor engagement with antitumor T cells. PD-L1 and Galectin-9 checkpoint inhibition was effective in tumors with γδT cell present, but not in their absence. This implies the importance of personalized medicine, through which the γδT cell presence may be characterized in patients, to predict checkpoint inhibition therapy response.

Metabolic Regulation

Enhancing checkpoint inhibition efficiency may also be achieved through regulation of metabolic properties of T cells. For cytotoxic and effector T cell activity, a metabolic switch from a catabolic to anabolic state is important. While naïve T cells rely mostly on oxidative phosphorylation, activated T cells prefer to switch aerobic glycolysis for faster ATP production. In support of this, T cells in anergic state even with TCR engagement and costimulator checkpoint activation can retain their hyporesponsive state in a nutrient poor environment. The nutrient poor microenvironment with low glucose and amino acid reservoir is regulated by both cancer cells and the TME. Cancer cells, for example, outcompete T cells for glucose uptake having implications for intrinsic immunogenicity regulation. Furthermore, glutamine usage by cancer cells also limits its presence in TME, limiting its activator function on T cells. ARG-1 (Arginase 1) produced by TAMs and MDSCs degrades arginine, while indoleamine 2,3-dioxygenase (IDO-1) produced by cancer cells, TAMs, and MDSCs converts tryptophane to an immunosuppressive metabolite kynurenine reducing T cell activity. Other than limiting nutrient availability, production of immunosuppressive intermediary metabolic products can also impair T cell activation. Cancer cell production of lactate as a result Warburg effect can impair T cell immunity by both decreasing TME pH and lactate shuttling into T cell. In addition, adenosine produced by cancer and Tregs, and prostaglandin E2 produced by TAMs and MDSCs are known to inhibit T cell signaling. Even though PDAC with its cancer cell and TME components shows similarities in metabolic properties as discussed above, how these metabolic properties effect T cell immunity specifically in PDAC has not been well studied. Overall, other than modulation of cytokine–chemokine–receptor axis, nutrient availability and production of immunosuppressive metabolites might also affect the extent of T cell immunity.

The impact of metabolism on checkpoint inhibition efficacy may not be only relevant on a micro environmental but also on a more systemic level. Cachexia is a systemic disorder with an excessive weight loss through the consumption of muscles and adipose tissues. Many diseases are associated with cachexia, including cancer in general and PDAC in particular. An increase in serum IL-6 levels was shown to impair hepatic ketogenesis inducing cachexia in C26 colon cancer and autochthonous KPC-PDAC mouse models. Physiologically, the body responded to cachexia with an upregulation of glucocorticoids like (?) corticosterone, which inhibits T cell infiltration into tumors of C26 cells. In support of this, transcriptomics analysis of pre-cachectic and cachectic C26 transplanted mice revealed an impaired immunological phenotype. However, this signature was not seen in the KPC model of PDAC, again implying its innate immunocompromised nature. With the use of the CXCR-4 inhibitor AMD3100, this barrier was overcome, increasing T cell infiltration and PD-L1 checkpoint inhibitor efficiency. However, with the addition of corticosterone to the AMD3100-PD-L1 combination, the therapeutic effect was diminished. These results have multiple implications for PDAC therapeutics: the checkpoint inhibition resistance might be tackled with glucocorticoid synthesis inhibition, though this might first require a prior consideration for CTL infiltration. Second, serum glucocorticoid levels might be important markers for checkpoint inhibition response in PDAC patients. And finally, serum IL-6 depletion might provide further opportunities to increase the checkpoint inhibition efficacy, not only because of its direct effect in the TME but also due to its physiological role in cancer-related cachexia.

Other Combination Strategies Exploiting Antigenicity/Immunogenicity of Tumors to Enhance Checkpoint Inhibition Therapy

Approaches including specific inhibitors (small molecules and antibodies) of various signaling pathways are described thus far and listed in Table 2. Apparently, combining the classical, untargeted treatment strategies, chemotherapy and RT, with checkpoint inhibition in clinical trials appears reasonable. Other targeted immunotherapeutic options, e.g., oncolytic viruses, vaccines, and chimeric antigen receptor-T cell (CAR-T) therapies aim to treat cancer in a more specific manner with minimal side effects. Selected clinical trials combining immune checkpoint inhibitors with untargeted and other targeted immunotherapeutic options are listed in Table 3. Combination therapies can modulate both antigenic and immunogenic landscape of tumors (Figure 4). Likely more important than just developing novel combination partners, exact understanding of the mode of action of combination partners, their tolerability and toxicity, a determination of dosing and appropriate sequencing of the combinations are required.

Chemotherapy

The first-line PDAC therapeutics used in clinic are chemotherapeutic agents such as gemcitabine with/without nab-paclitaxel, and FOLFIRINOX (folinic acid, fluorouracil, irinotecan, and oxaliplatin). These agents are known for their ability to induce cytotoxicity due to impaired cell division. The mutagenic effect of chemotherapy (or RT) may enhance neoantigen production and MHC class I antigen presentation on cancer cells, increasing tumor antigenicity. Still, even if sub-clones with reactive neoantigenic properties might evolve, they might not be substantial enough to result in a broad clonal response in response to checkpoint inhibition. Furthermore, considering that PDAC already retains its antigenic capacity but its immunosuppressive microenvironment is the main barrier to pass as explained above, chemotherapy might exert its effect rather by altering immunogenicity. Immunogenic cell death (ICD) upon chemotherapy releases danger signals and cytokines for the generation of a more immunogenic TME. As also seen in the gemcitabine with nab-paclitaxel example above, remodeling of the immunosuppressive TME can bolster up T cell cytotoxicity due to enhanced immunogenicity. Chemotherapy can increase immunogenicity by also its direct action on immunosuppressive cells of TME. For example, fluorouracil and paclitaxel were shown to induce MDSC apoptosis in various tumor models, while low dose gemcitabine was shown to deplete Tregs in panc02 orthotopic mouse model. Furthermore, it will be important to select chemotherapeutic agents, their dosing and time and sequence of administration with regard to their ability to induce ICD and remodel the microenvironment.

Radiotherapy

Although the use of RT for the treatment of PDAC has been controversially discussed due to rather disappointing results in clinical trials, radiation treatment in combination with ICI might be a promising strategy for pancreatic cancer patients. In a phenomenon known as the abscopal response, RT was shown to induce immune responses that mediate regression of metastatic lesions lying outside the field of radiation. RT could activate the immune system, increase trafficking of T cells to the tumor, and elicit antitumor immune responses following ICD. Several preclinical and clinical studies in different cancer types showed synergistic effects in cohorts treated with RT and immune checkpoint blockade. Although not many studies have been published thus far, evidence for synergism can also be seen in PDAC and has been related to increased immunogenicity. In the PDAC mouse model used by Twyman-Saint Victor et al., any combination of immune checkpoint inhibitor with RT substantially increased overall survival, compared with immune checkpoint blockade with either CTLA-4 antibody or PD-1 antibody alone. The highest response rate and longest overall survival was seen in the triple combination therapy (two checkpoint inhibitors + RT) group.

Recently, CD40 agonist treatment was demonstrated to be beneficial upon a RT + ICI regimen in murine pancreatic cancer models. While RT alone or in combination with ICI resulted in reduction of irradiated tumor growth, only the triple therapy, RT + αCD40 + ICI (RCP4), affected the growth of both irradiated and unirradiated tumors. These observations were also reflected in the long-term survival. Furthermore, CD4 and CD8 T cells, as well as short-lived myeloid cells were shown to be necessary for optimal response to RCP4 and that RCP4 antitumor immunity. This immunity was dependent on host CD40, Batf3, and IFNγ but not on B cells and canonical innate immune activation pathways. The three therapies all showed non-redundant impact on the antitumor immune response. While RT triggered an early pro-inflammatory stimulus, αCD40 caused systemic myeloid compartment reorganization and ICI increases intratumoral T cell infiltration, thus improving the CD8/Treg cell ratio.

In conclusion, RT can enhance the “visibility” of tumor antigens and make the tumor more immunogenic. While the combination of RT and ICI shows promise in preclinical and clinical trials in various cancer entities, challenges still exist for the safe and efficacious application of the combination. Tumor-type and immune therapy-specific optimization of radiation dose and timing and the identification of potential biomarkers is likely to further enhance the effectiveness. Also, the addition of αCD40 agonists appears to be a promising avenue to pursue in clinical PDAC trials.

Oncolytic Viruses

Tumor-targeted oncolytic viruses (TOVs) are viruses that selectively infect, replicate in, and lyse tumor cells, while leaving healthy, normal tissues unharmed. TOVs can have intrinsic tumor-selectivity, making them naturally nonpathogenic to humans and sensitive to antiviral signaling or depend on oncogenic signaling pathways, e.g., constitutively activated RAS. Viral tumor specificity can also be genetically engineered by deleting genes required for replication in normal tissues or by placing viral replication under the control of a tumor-specific promoter, TOVs can also be designed to express tumor-specific cell surface receptors. TOVs can thus be engineered to increase safety, efficacy, and tissue tropism.

The advantages of TOVs are their specificity, modest toxicity, low probability for resistance, and most importantly, their induction of an inflammatory cascade and engagement of the adaptive immune system. In contrast to any other drug, the therapeutic dose of TOVs increases over time, as the virus replicates and spreads to neighboring cells. Although TOVs directly lyse infected malignant cells, causing acute tumor debulking, it is the ability of the virus to spread from cell to cell and potentiate an inflammatory response through ICD that make oncolytic viruses such promising new therapies. However, oncolytic virus therapy faces challenges in solid tumors and especially PDAC. These challenges, i.e., overcoming the TME, avoiding neutralization by the host immune system, and acquired resistance in tumor cells culminate in the main problem, i.e., the systemic delivery of TOVs for the targeting of metastatic cancer cells. Thus, it is not surprising that thus far, no studies investigating ICI and oncolytic viral therapy in pancreatic cancer have been published. However, Mahalingam et al. conducted a phase II study of pelareorep, a proprietary replication-competent isolate of reovirus type 3 dearing in combination with gemcitabine in advanced PDAC and observed the upregulation of PD-L1 in following treatment. They suggested to investigate the combination of oncolytic virus therapy with anti-PD-L1 inhibitors in PDAC.

Congruent with this finding, recent research in other cancer entities revealed that antiviral immunological events induced by the administration of oncolytic viruses can turn tumors “hot” and establish a TME that is conducive for enhancing the efficacy of checkpoint inhibitors. Using intravenous infusion of oncolytic human orthoreovirus, Samson et al. found that TOV treatment increases cytotoxic T cell tumor infiltration, upregulates IFN-regulated gene expression, and the PD-1/PD-L1 axis in tumors, via an IFN-mediated mechanism. And finally, addition of PD-1 blockade to reovirus treatment enhanced systemic therapy in a preclinical glioma model. In their simultaneously published triple-negative breast cancer (TNBC) study, Bourgeois-Daigneault et al. reported that TOV therapy sensitizes otherwise refractory TNBC to immune checkpoint blockade, preventing relapse in most of the treated animals.

In conclusion, once the problem of systemic delivery is solved, oncolytic viruses are not only valuable therapies in terms of tumor debulking but are also useful in a “prime and boost” approach in combination with ICIs.

Vaccines

Another promising approach to enhance the immunogenicity of pancreatic cancer cells and boost the antitumor T cell response is the use of cancer vaccines. Vaccines have been designed to generate a humoral/cellular immune response with the aim of stimulating the host immune system to recognize and eliminate tumor cells with specific effector and memory T cells. There are two major categories of tumor vaccines: whole cell vaccines and antigen-specific vaccines. A brief review on the different vaccines currently investigated for pancreatic cancer can be found in the publication by Skelton et al.. Although early studies using single-agent tumor vaccines against PDAC showed improved immune profiles, they were largely unable to produce a positive clinical response. This can be explained by the upregulation of immunosuppressive signaling, as well as other immune modulating mechanisms, which negate the positive effects of the vaccine.

The induction of T cell infiltration and PD-L1 expression in the TME by vaccine treatment was hypothesized to prime PDACs for anti-PD-1/PD-L1 therapies. Indeed, the whole cell vaccine GVAX, consisting of two allogeneic irradiated PDAC cell lines engineered to secrete GM-CSF, converted a non-immunogenic or “cold” neoplasm into an immunogenic or “hot” neoplasm by inducing infiltration of T cells and development of tertiary lymphoid structures. In a subsequent phase Ib study, Le et al. were able to show that the combination of GVAX with ipilimumab induced objective responses in patients with metastatic PDAC that were not observed with either single therapy alone.

Preclinical data suggested beneficial effects when two vaccination treatments were co-implemented, e.g., GVAX and CRS-207, a live-attenuated Listeria monocytogenes vaccine expressing the TAA mesothelin, in a sequential combination—a so-called prime/boost approach. The first vaccine was given to initiate or “prime” the immune system, and this immune response was then “boosted” following re-administration of antigen resulting in the induction of a synergistic enhancement of T cell induction and antitumor effect. Based on the preclinical data, a phase II trial (NCT01417000) was conducted resulting in the conclusion that heterologous prime/boost with Cy/GVAX and CRS-207 extended the survival of patients with pancreatic cancer, with minimal toxicity. Unfortunately, a subsequent phase IIb trial of CRS-207 and GVAX (NCT02004262) did not show a significant difference in overall survival between the groups treated with either CRS-207/GVAX or CRS207 alone and the group treated with chemotherapy, i.e., physicians’ choice of therapies including: gemcitabine, capecitabine, fluorouracil, leucovorin, irinotecan, and erlotinib.

Although the last mentioned study was quite a set-back, the strategy of combining different immunotherapy options with each other still holds a merit, especially for “prime and boost” approach.

Chimeric Antigen Receptor (CAR)—T Cell Therapy

Chimeric antigen receptors are fusion proteins that can be comprised of three major domains. These are the antigen-specific ectodomain, commonly derived from a single-chain variable antibody-fragment (scFv); a transmembrane domain fused to a spacer that links to the ectodomain; and an endodomain consisting of different cytoplasmic proteins responsible for T cell activation. Unlike endogenous TCRs, CARs recognize their target antigen in an MHC (or HLA)-independent manner, due to their engineered antibody fragment. Upon antigen recognition, CAR-T cells are activated, leading to cytokine secretion, T cell proliferation, and antigen-specific cytotoxicity. The production of CAR-T cells for adoptive T cell transfer requires the isolation, stimulation, expansion, transduction, i.e., viral vector-mediated insertion of specific CAR genes, and ultimately reinfusion of autologous or allogeneic T cells.

Although impressive clinical activities of CAR-T cells in hematological malignancies were reported, CAR T-cell trials in solid tumors have yet to yield the same level of success. The most prominent obstacles standing in the way of successful CAR-T cell therapy are (1) lack of ideal TSAs, (2) inefficient trafficking of CAR-T cells to tumor sites, (3) the immune-suppressive TME, and (4) the risk of developing on-target/off-tumor toxicities, i.e., the attack of normal cells expressing the targeted tumor antigen.

While the investigation of CAR-T cells in pancreatic cancer is still in early stages, it is fair to say that the first above mentioned obstacle does not apply. PDAC exhibits a number of TSAs and, conceptually, is a promising candidate tumor for investigating CAR T-cell therapy. Thus far, there have been preclinical studies on various pancreatic cancer cell surface antigens, namely, MSLN, CEA, MUC1, PSCA, CD24, HER2, and natural killer receptors.

The main obstacles in pancreatic cancer are most likely the strong immunosuppressive TME, already discussed in this review, and improper homing and inefficient infiltration of CAR T-cells to the tumor bed. Especially challenging is the high number of infiltrating Tregs and MDSCs, which can deactivate CAR-T cells through cytokines inhibitory cytokines such as TGFβ and IL-10, and the upregulation of inhibitory receptors, e.g., PD-1 on adoptively transferred CAR-T cells after homing to the tumor. T cell hypofunction was reversed when the cells were isolated from the tumor, or after treatment with a blocking PD-1 antibody, and there are promising preclinical studies on CAR-T cells engineered to secrete PD-1 checkpoint inhibitors or PD-1 dominant negative receptor.

These results provide rationale for combination therapies, with CAR-T cells and checkpoint blockade, as a new strategy to overcome the tumor escape and to further strengthen CAR-T cells, especially in patients with PDAC shown to express high levels of PD-L1.

Adoptive Cell Therapy (ACT) With Endogenous TILs

Adoptive cell therapy using endogenous TILs taken from surgically resected tumors, expanded in vitro, and re-infused back into the patient, is a promising approach for otherwise untreatable cancer types. In metastatic melanoma patients, for example, TIL-ACT was associated with a 20% complete response lasting beyond 3 years. Gastrointestinal tumor patients with CD3+ T cell infiltration showed a higher rate of progression-free survival, and pancreatic adenocarcinomas containing both CD4+ and CD8+ T cells correlated with an improved prognosis and significantly greater 5-year survival. This evidence of a host T cell immune response in patients with pancreatic adenocarcinoma drove both Hall et al. and Poschke et al. to expand and analyze the T cell repertoire in resected primary PDAC specimen. Contrary to the common description of PDAC as an immunologically “cold” tumor, they found that most resectable PDA tumors actually contained significant numbers of T-cells and, along with that, tertiary lymphoid structures in which clonal T-cell expansion takes place and were able to expand them in vitro using high levels of IL-2. The majority of these TILs were CD4+ T cells and were highly activated and resembled those extracted from melanoma samples. Media supplemented with anti-4-1BB significantly increased the TIL yield per fragment and shifted the T cell population to predominantly CD8+ cells compared with control cultures. The population of 4-1BB positive CD8+ lymphocytes represented the population of tumor-resident TILs specific for expressed tumor antigens on the surface of pancreatic adenocarcinoma cells.

Thus far, there has been no studies investigating the combination of TIL ACT and ICI in pancreatic cancer. However, pretreating PDAC patients with immune checkpoint inhibitors and thus enriching the population of tumor-specific lymphocytes prior to surgical resection might be a worthwhile strategy. This way the yield of tumor reactive cells could be increased, the expansion time and the time between surgery and infusion shortened, and thus the risk of recurrent growth during the expansion period decreased.

This is exactly the approach taken by Mullinax et al. when analyzing the combination of TIL ACT and Ipilimumab in a clinical pilot study (NCT01701674) for metastatic melanoma, and in clinical trials for metastatic ovarian cancer (NCT03287674). The pretreatment with Ipilimumab followed by ACT in metastatic melanoma patients was reported as feasible, well tolerated, and associated with a low rate of attrition due to progression during cell expansion. The investigators are currently recruiting patients for a similar trial in metastatic melanoma, now including 4-1BB (NCT02652455), and another study with a similar design is currently recruiting patients with locally advanced or metastatic cancers of various types (NCT03296137).

Considering the positive results in metastatic melanoma, as well as the similarity in the population of extractable T cells from melanoma and PDAC, the investigation of ICI + TIL ACT in PDAC is recommendable.

Concluding Remarks

The revolution of immunotherapy is changing our perspective in cancer therapeutics. For some solid tumors, immunotherapy has already entered into clinical practice. While PDAC is unresponsive and refractory to many of the conventional therapies, immunotherapy holds a promise for future improvement. However, single-agent ICI has largely failed. Based on the findings thus far, the decisive drawback for ICI efficiency in PDAC is the initial T cell priming. Only less than 1% of human PDAC samples are projected to show aberrant genomic instability, enabling T cell priming despite the immunosuppressive microenvironment. However, this does not mean the other 99% are not antigenic, rather its antigenic strength likely cannot beat reduced immunogenicity. Each patient, each tumor, and each cancer cell are distinct. T cells might provide the best repertoire for the recognition of each single difference, yet to overcome immunogenic obstacles, combination strategies are required. Development of the best combinations comes along with better characterization of the patient samples. Characterization of these samples might help us to better classify the individual distinctions that patients, tumors, and cancer cells have, and to find the best combination partners with checkpoint inhibition. Even though complete regression of the primary tumor might not be achieved, reduction and control of metastasis can still provide a considerable prognostic value in PDAC patients. While we know that metastatic lesions evade the expression of high quality neoantigens of their cognate primary tumor and antigen presenting machinery, they might still retain their unique antigenic and immunogenic master regulators to be targeted. Most importantly, T cell memory provides the best tool to minimize disease recurrence, therefore strategies exploiting T cell memory may provide long-term disease control. Before achieving T cell memory, to make PDAC responsive to first time checkpoint inhibition, we have to elucidate and exploit the mechanisms discussed above: (1) increasing initial T cell priming, (2) exceeding immunosuppressive TME, and (3) inhibiting compensatory mechanisms of T cell anergy and exhaustion.

Author Contributions

DK wrote the manuscript, prepared the figures and tables. KC wrote and edited the manuscript. DR provided the tables and edited the manuscript. HA edited and supervised the manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References 315

  1. 1.

    Rahib L Smith BD Aizenberg R Rosenzweig AB Fleshman JM Matrisian LM. Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States. Cancer Res (2014 ) 74:2913–21.

    Not in our library10.1158/0008-5472.can-14-0155

  2. 2.

    Siegel RL Miller KD Jemal A. Cancer statistics, 2018. CA Cancer J Clin (2018 ) 68:7–30.

    Not in our library10.3322/caac.21442

  3. 3.

    Siegel RL Miller KD Jemal A. Cancer statistics, 2017. CA Cancer J Clin (2017 ) 67:7–30.

    Not in our library10.3322/caac.21387

  4. 4.

    Kleeff J Korc M Apte M La Vecchia C Johnson CD Biankin AV Pancreatic cancer. Nat Rev Dis Prim (2016 ) 2:1–22.

    Not in our library10.1038/nrdp.2016.22

  5. 5.

    Neesse A Algül H Tuveson DA Gress TM. Stromal biology and therapy in pancreatic cancer: a changing paradigm. Gut (2015 ) 64:1476–84.

    Not in our library10.1136/gutjnl-2015-309304

  6. 6.

    Hidalgo M Pancreatic cancer. N Engl J Med (2010 ) 362:1605–17.

    Not in our library10.1056/nejmra0901557

  7. 7.

    Ko AH Bekaii-Saab T Van Ziffle J Mirzoeva OM Joseph NM Talasaz AA A multicenter, open-label phase II clinical trial of combined MEK plus EGFR inhibition for chemotherapy-refractory advanced pancreatic adenocarcinoma. Clin Cancer Res (2016 ) 22:61–8.

    Not in our library10.1158/1078-0432.ccr-15-0979

  8. 8.

    Bedard PL Tabernero J Janku F Wainberg ZA Paz-Ares L Vansteenkiste J A Phase Ib dose-escalation study of the oral pan-PI3K inhibitor buparlisib (BKM120) in combination with the oral MEK1/2 inhibitor trametinib (GSK1120212) in patients with selected advanced solid tumors. Clin Cancer Res (2015 ) 21:730–8.

    Not in our library10.1158/1078-0432.ccr-14-1814

  9. 9.

    Tolcher AW Bendell JC Papadopoulos KP Burris HA Patnaik A Jones SF A phase IB trial of the oral MEK inhibitor trametinib (GSK1120212) in combination with everolimus in patients with advanced solid tumors. Ann Oncol (2015 ) 26:58–64.

    Not in our library10.1093/annonc/mdu482

  10. 10.

    Wolpin BM Hezel AF Abrams T Blaszkowsky LS Meyerhardt JA Chan JA Oral mTOR inhibitor everolimus in patients with gemcitabine-refractory metastatic pancreatic cancer. J Clin Oncol (2009 ) 27:193–8.

    Not in our library10.1200/jco.2008.18.9514

  11. 11.

    Infante JR Somer BG Park JO Li C-P Scheulen ME Kasubhai SM A randomised, double-blind, placebo-controlled trial of trametinib, an oral MEK inhibitor, in combination with gemcitabine for patients with untreated metastatic adenocarcinoma of the pancreas. Eur J Cancer (2014 ) 50:2072–81.

    Not in our library10.1016/j.ejca.2014.04.024

  12. 12.

    Bodoky G Timcheva C Spigel DR La Stella PJ Ciuleanu TE Pover G A phase II open-label randomized study to assess the efficacy and safety of selumetinib (AZD6244 [ARRY-142886]) versus capecitabine in patients with advanced or metastatic pancreatic cancer who have failed first-line gemcitabine therapy. Invest New Drugs (2012 ) 30:1216–23.

    Not in our library10.1007/s10637-011-9687-4

  13. 13.

    Conroy T Desseigne F Ychou M Bouché O Guimbaud R Bécouarn Y FOLFIRINOX versus gemcitabine for metastatic pancreatic cancer. N Engl J Med (2011 ) 364:1817–25.

    Not in our library10.1056/nejmoa1011923

  14. 14.

    Von Hoff DD Ervin T Arena FP Chiorean EG Infante J Moore M Increased survival in pancreatic cancer with nab-paclitaxel plus gemcitabine. N Engl J Med (2013 ) 369:1691–703.

    Not in our library10.1056/nejmoa1304369

  15. 15.

    Goldstein D El-Maraghi RH Hammel P Heinemann V Kunzmann V Sastre J Nab-paclitaxel plus gemcitabine for metastatic pancreatic cancer: long-term survival from a phase III trial. J Natl Cancer Inst (2015 ) 107

    Not in our library10.1093/jnci/dju413

  16. 16.

    Ferlay J Soerjomataram I Dikshit R Eser S Mathers C Rebelo M Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer (2015 ) 136:E359–86.

    Not in our library10.1002/ijc.29210

  17. 17.
  18. 18.

    Groenendijk FH Bernards R Drug resistance to targeted therapies: Déjà vu all over again. Mol Oncol (2014 ) 8:1067–83.

    Not in our library10.1016/j.molonc.2014.05.004

  19. 19.

    Hodi FS O’Day SJ McDermott DF Weber RW Sosman JA Haanen JB Improved survival with ipilimumab in patients with metastatic melanoma. N Engl J Med (2010 ) 363:711–23.

    Not in our library10.1056/nejmoa1003466

  20. 20.

    Ribas A Puzanov I Dummer R Schadendorf D Hamid O Robert C Pembrolizumab versus investigator-choice chemotherapy for ipilimumab-refractory melanoma (KEYNOTE-002): a randomised, controlled, phase 2 trial. Lancet Oncol (2015 ) 16:908–18.

    Not in our library10.1016/s1470-2045(15)00083-2

  21. 21.

    Robert C Schachter J Long GV Arance A Grob JJ Mortier L Pembrolizumab versus ipilimumab in advanced melanoma. N Engl J Med (2015 ) 372:2521–32.

    Not in our library10.1056/nejmoa1503093

  22. 22.

    Weber JS D’Angelo SP Minor D Hodi FS Gutzmer R Neyns B Nivolumab versus chemotherapy in patients with advanced melanoma who progressed after anti-CTLA-4 treatment (CheckMate 037): a randomised, controlled, open-label, phase 3 trial. Lancet Oncol (2015 ) 16:375–84.

    Not in our library10.1016/s1470-2045(15)70076-8

  23. 23.

    Rizvi NA Mazières J Planchard D Stinchcombe TE Dy GK Antonia SJ Activity and safety of nivolumab, an anti-PD-1 immune checkpoint inhibitor, for patients with advanced, refractory squamous non-small-cell lung cancer (CheckMate 063): a phase 2, single-arm trial. Lancet Oncol (2015 ) 16:257–65.

    Not in our library10.1016/s1470-2045(15)70054-9

  24. 24.

    Garon EB Rizvi NA Hui R Leighl N Balmanoukian AS Eder JP Pembrolizumab for the treatment of non-small-cell lung cancer. N Engl J Med (2015 ) 372:2018–28.

    Not in our library10.1056/nejmoa1501824

  25. 25.

    Reck M Rodríguez-Abreu D Robinson AG Hui R Csőszi T Fülöp A Pembrolizumab versus chemotherapy for PD-L1-positive non-small-cell lung cancer. N Engl J Med (2016 ) 375:1823–33.

    Not in our library10.1056/nejmoa1606774

  26. 26.

    Borghaei H Paz-Ares L Horn L Spigel DR Steins M Ready NE Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer. N Engl J Med (2015 ) 373:1627–39.

    Not in our library10.1056/nejmoa1507643

  27. 27.

    Taylor M Antonia S Bendell J Calvo E Jager D Braud F Phase I/II study of nivolumab with or without ipilimumab for treatment of recurrent small cell lung cancer (SCLC): CA209-032. J Immunother Cancer (2015 ) 3:P376

    Not in our library10.1186/2051-1426-3-s2-p376

  28. 28.

    Motzer RJ Rini BI McDermott DF Redman BG Kuzel TM Harrison MR Nivolumab for metastatic renal cell carcinoma: results of a randomized phase II trial. J Clin Oncol (2015 ) 33:1430–7.

    Not in our library10.1200/jco.2014.59.0703

  29. 29.

    Weinstock M McDermott D. Targeting PD-1/PD-L1 in the treatment of metastatic renal cell carcinoma. Ther Adv Urol (2015 ) 7:365–77.

    Not in our library10.1177/1756287215597647

  30. 30.

    Powles T Eder JP Fine GD Braiteh FS Loriot Y Cruz C MPDL3280A (anti-PD-L1) treatment leads to clinical activity in metastatic bladder cancer. Nature (2014 ) 515:558–62.

    Not in our library10.1038/nature13904

  31. 31.

    Powles T O’Donnell PH Massard C Arkenau H-T Friedlander TW Hoimes CJ Efficacy and safety of durvalumab in locally advanced or metastatic urothelial carcinoma. JAMA Oncol (2017 ) 3:e172411

    Not in our library10.1001/jamaoncol.2017.2411

  32. 32.

    Massard C Gordon MS Sharma S Rafii S Wainberg ZA Luke J Safety and efficacy of durvalumab (MEDI4736), an anti-programmed cell death ligand-1 immune checkpoint inhibitor, in patients with advanced urothelial bladder cancer. J Clin Oncol (2016 ) 34:3119–25.

    Not in our library10.1200/jco.2016.67.9761

  33. 33.
  34. 34.

    Seiwert TY Burtness B Mehra R Weiss J Berger R Eder JP Safety and clinical activity of pembrolizumab for treatment of recurrent or metastatic squamous cell carcinoma of the head and neck (KEYNOTE-012): an open-label, multicentre, phase 1b trial. Lancet Oncol (2016 ) 17:956–65.

    Not in our library10.1016/s1470-2045(16)30066-3

  35. 35.

    Ansell SM Lesokhin AM Borrello I Halwani A Scott EC Gutierrez M PD-1 blockade with nivolumab in relapsed or refractory Hodgkin’s lymphoma. N Engl J Med (2015 ) 372:311–9.

    Not in our library10.1056/nejmoa1411087

  36. 36.

    Armand P Shipp MA Ribrag V Michot JM Zinzani PL Kuruvilla J Programmed death-1 blockade with pembrolizumab in patients with classical Hodgkin lymphoma after brentuximab vedotin failure. J Clin Oncol (2016 ) 34:3733–9.

    Not in our library10.1200/jco.2016.67.3467

  37. 37.

    Lesokhin AM Ansell SM Armand P Scott EC Halwani A Gutierrez M Nivolumab in patients with relapsed or refractory hematologic malignancy: preliminary results of a phase Ib study. J Clin Oncol (2016 ) 34:2698–704.

    Not in our library10.1200/jco.2015.65.9789

  38. 38.

    Brahmer JR Tykodi SS Chow LQM Hwu W-J Topalian SL Hwu P Safety and activity of anti-PD-L1 antibody in patients with advanced cancer. N Engl J Med (2012 ) 366:2455–65.

    Not in our library10.1056/nejmoa1200694

  39. 39.

    Royal RE Levy C Turner K Mathur A Hughes M Kammula US Phase 2 trial of single agent ipilimumab (anti-CTLA-4) for locally advanced or metastatic pancreatic adenocarcinoma. J Immunother (2010 ) 33:828–33.

    Not in our library10.1097/cji.0b013e3181eec14c

  40. 40.

    Pardoll DM. The blockade of immune checkpoints in cancer immunotherapy. Nat Rev Cancer (2012 ) 12:252–64.

    Not in our library10.1038/nrc3239

  41. 41.

    Gao GF Rao Z Bell JI Molecular coordination of αβ T-cell receptors and coreceptors CD8 and CD4 in their recognition of peptide-MHC ligands. Trends Immunol (2002 ) 23:408–13.

    Not in our library10.1016/s1471-4906(02)02282-2

  42. 42.

    Steimle V Siegrist C Mottet A Lisowska-Grospierre B Mach B. Regulation of MHC class II expression by interferon-gamma mediated by the transactivator gene CIITA. Science (1994 ) 265:106–9.

    Not in our library10.1126/science.8016643

  43. 43.

    Stout RD Bottomly K. Antigen-specific activation of effector macrophages by IFN-gamma producing (TH1) T cell clones. Failure of IL-4-producing (TH2) T cell clones to activate effector function in macrophages. J Immunol (1989 ) 142:760–5.

    Not in our library

  44. 44.
  45. 45.

    DeNardo DG Barreto JB Andreu P Vasquez L Tawfik D Kolhatkar N CD4+T cells regulate pulmonary metastasis of mammary carcinomas by enhancing protumor properties of macrophages. Cancer Cell (2009 ) 16:91–102.

    Not in our library10.1016/j.ccr.2009.06.018

  46. 46.

    Tanaka A Sakaguchi S Regulatory T cells in cancer immunotherapy. Cell Res (2017 ) 27:109–18.

    Not in our library10.1038/cr.2016.151

  47. 47.

    Crespo J Sun H Welling TH Tian Z Zou W. T cell anergy, exhaustion, senescence, and stemness in the tumor microenvironment. Curr Opin Immunol (2013 ) 25:214–21.

    Not in our library10.1016/j.coi.2012.12.003

  48. 48.

    Topalian SL Drake CG Pardoll DM. Immune checkpoint blockade: a common denominator approach to cancer therapy. Cancer Cell (2015 ) 27:451–61.

    Not in our library10.1016/j.ccell.2015.03.001

  49. 49.
  50. 50.

    Schwartz RH Costimulation of T lymphocytes: the role of CD28, CTLA-4, and B7/BB1 in interleukin-2 production and immunotherapy. Cell (1992 ) 71:1065–8.

    Not in our library10.1016/s0092-8674(05)80055-8

  51. 51.

    Linsley PS Greene JL Brady W Bajorath J Ledbetter JA Peach R. Human B7-1 (CD80) and B7-2 (CD86) bind with similar avidities but distinct kinetics to CD28 and CTLA-4 receptors. Immunity (1994 ) 1:793–801.

    Not in our library10.1016/s1074-7613(94)80021-9

  52. 52.

    Qureshi OS Zheng Y Nakamura K Attridge K Manzotti C Schmidt EM Trans-endocytosis of CD80 and CD86: a molecular basis for the cell-extrinsic function of CTLA-4. Science (2011 ) 332:600–3.

    Not in our library10.1126/science.1202947

  53. 53.

    Krummel MF Allison JP. CTLA-4 engagement inhibits IL-2 accumulation and cell cycle progression upon activation of resting T cells. J Exp Med (1996 ) 183:2533–40.

    Not in our library10.1084/jem.183.6.2533

  54. 54.

    Fallarino F Fields PE Gajewski TF. B7-1 engagement of cytotoxic T lymphocyte antigen 4 inhibits T cell activation in the absence of CD28. J Exp Med (1998 ) 188:205–10.

    Not in our library10.1084/jem.188.1.205

  55. 55.

    Chambers CA Sullivan TJ Truong T Allison JP. Secondary but not primary T cell responses are enhanced in CTLA-4-deficient CD8+ T cells. Eur J Immunol (1998 ) 28:3137–43.

    Not in our library10.1002/(sici)1521-4141(199810)28:10<3137::aid-immu3137>3.0.co;2-x

  56. 56.

    Takahashi T Tagami T Yamazaki S Uede T Shimizu J Sakaguchi N Immunologic self-tolerance maintained by Cd25+ Cd4+ regulatory T cells constitutively expressing cytotoxic T lymphocyte-associated antigen 4. J Exp Med (2000 ) 192:303–10.

    Not in our library10.1084/jem.192.2.303

  57. 57.

    Hori S Nomura T Sakaguchi S. Control of regulatory T cell development by the transcription factor Foxp3. Science (2003 ) 299:1057–61.

    Not in our library10.1126/science.1079490

  58. 58.

    Fontenot JD Gavin MA Rudensky AY. Foxp3 programs the development and function of CD4+CD25+ regulatory T cells. Nat Immunol (2003 ) 4:330–6.

    Not in our library10.1038/ni904

  59. 59.

    Wing K Onishi Y Prieto-Martin P Yamaguchi T Miyara M Fehervari Z CTLA-4 control over Foxp3+ regulatory T cell function. Science (2008 ) 322:271–5.

    Not in our library10.1126/science.1160062

  60. 60.

    Klocke K Holmdahl R Wing K. CTLA-4 expressed by FOXP3+ regulatory T cells prevents inflammatory tissue attack and not T-cell priming in arthritis. Immunology (2017 ) 152:125–37.

    Not in our library10.1111/imm.12754

  61. 61.

    Bengsch F Knoblock DM Liu A McAllister F Beatty GL. CTLA-4/CD80 pathway regulates T cell infiltration into pancreatic cancer. Cancer Immunol Immunother (2017 ) 66:1609–17.

    Not in our library10.1007/s00262-017-2053-4

  62. 62.

    Peggs KS Quezada SA Chambers CA Korman AJ Allison JP Blockade of CTLA-4 on both effector and regulatory T cell compartments contributes to the antitumor activity of anti–CTLA-4 antibodies. J Exp Med (2009 ) 206:1717–25.

    Not in our library10.1084/jem.20082492

  63. 63.

    Ishida Y Agata Y Shibahara K Honjo T. Induced expression of PD-1, a novel member of the immunoglobulin gene superfamily, upon programmed cell death. EMBO J (1992 ) 11:3887–95.

    Not in our library10.1002/j.1460-2075.1992.tb05481.x

  64. 64.

    Freeman GJ Long AJ Iwai Y Bourque K Chernova T Nishimura H Engagement of the Pd-1 immunoinhibitory receptor by a novel B7 family member leads to negative regulation of lymphocyte activation. J Exp Med (2000 ) 192:1027–34.

    Not in our library10.1084/jem.192.7.1027

  65. 65.

    Dong H Zhu G Tamada K Chen L. B7-H1, a third member of the B7 family, co-stimulates T-cell proliferation and interleukin-10 secretion. Nat Med (1999 ) 5:1365–9.

    Not in our library10.1038/70932

  66. 66.

    Latchman Y Wood CR Chernova T Chaudhary D Borde M Chernova I PD-L2 is a second ligand for PD-1 and inhibits T cell activation. Nat Immunol (2001 ) 2:261–8.

    Not in our library10.1038/85330

  67. 67.

    Tseng SY Otsuji M Gorski K Huang X Slansky JE Pai SI B7-DC, a new dendritic cell molecule with potent costimulatory properties for T cells. J Exp Med (2001 ) 193:839–46.

    Not in our library10.1084/jem.193.7.839

  68. 68.

    Agata Y Kawasaki A Nishimura H Ishida Y Tsubata T Yagita H Expression of the PD-1 antigen on the surface of stimulated mouse T and B lymphocytes. Int Immunol (1996 ) 8:765–72.

    Not in our library10.1093/intimm/8.5.765

  69. 69.

    Youngblood B Oestreich KJ Ha SJ Duraiswamy J Akondy RS West EE Chronic virus infection enforces demethylation of the locus that encodes PD-1 in antigen-specific CD8+ T cells. Immunity (2011 ) 35:400–12.

    Not in our library10.1016/j.immuni.2011.06.015

  70. 70.

    Iwai Y Terawaki S Ikegawa M Okazaki T Honjo T. PD-1 inhibits antiviral immunity at the effector phase in the liver. J Exp Med (2003 ) 198:39–50.

    Not in our library10.1084/jem.20022235

  71. 71.

    Barber DL Wherry EJ Masopust D Zhu B Allison JP Sharpe AH Restoring function in exhausted CD8 T cells during chronic viral infection. Nature (2006 ) 439:682–7.

    Not in our library10.1038/nature04444

  72. 72.

    Staron MM Gray SM Marshall HD Parish IA Chen JH Perry CJ The transcription factor FoxO1 sustains expression of the inhibitory receptor PD-1 and survival of antiviral CD8+ T cells during chronic infection. Immunity (2014 ) 41:802–14.

    Not in our library10.1016/j.immuni.2014.10.013

  73. 73.

    Asano T Meguri Y Yoshioka T Kishi Y Iwamoto M Nakamura M PD-1 modulates regulatory T-cell homeostasis during low-dose interleukin-2 therapy. Blood (2017 ) 129:2186–97.

    Not in our library10.1182/blood-2016-09-741629

  74. 74.

    Wang L Pino-Lagos K De Vries VC Guleria I Sayegh MH Noelle RJ. Programmed death 1 ligand signaling regulates the generation of adaptive Foxp3+ CD4+ regulatory T cells. Proc Natl Acad Sci U S A (2008 ) 105:9331–6.

    Not in our library10.1073/pnas.0710441105

  75. 75.

    Wang C Thudium KB Han M Wang X-T Huang H Feingersh D In vitro characterization of the anti-PD-1 antibody nivolumab, BMS-936558, and in vivo toxicology in non-human primates. Cancer Immunol Res (2014 ) 2:846–56.

    Not in our library10.1158/2326-6066.cir-14-0040

  76. 76.

    Nishimura H Nose M Hiai H Minato N Honjo T. Development of lupus-like autoimmune diseases by disruption of the PD-1 gene encoding an ITIM motif-carrying immunoreceptor. Immunity (1999 ) 11:141–51.

    Not in our library10.1016/s1074-7613(00)80089-8

  77. 77.

    Nishimura H Okazaki T Tanaka Y Nakatani K Hara M Matsumori A Autoimmune dilated cardiomyopathy in PD-1 receptor-deficient mice. Science (2001 ) 291:319–22.

    Not in our library10.1126/science.291.5502.319

  78. 78.

    Tivol EA Borriello F Schweitzer AN Lynch WP Bluestone JA Sharpe AH. Loss of CTLA-4 leads to massive lymphoproliferation and fatal multiorgan tissue destruction, revealing a critical negative regulatory role of CTLA-4. Immunity (1995 ) 3:541–7.

    Not in our library10.1016/1074-7613(95)90125-6

  79. 79.

    Waterhouse P Penninger JM Timms E Wakeham A Shahinian A Lee KP Lymphoproliferative disorders with early lethality in mice deficient in Ctla-4. Science (1995 ) 270:985–8.

    Not in our library10.1126/science.270.5238.985

  80. 80.

    Keir ME Butte MJ Freeman GJ Sharpe AH. PD-1 and its ligands in tolerance and immunity. Annu Rev Immunol (2008 ) 26:677–704.

    Not in our library10.1146/annurev.immunol.26.021607.090331

  81. 81.

    Linsley PS Bradshaw J Greene JA Peach R Bennett KL Mittler RS. Intracellular trafficking of CTLA-4 and focal localization towards sites of TCR engagement. Immunity (1996 ) 4:535–43.

    Not in our library10.1016/s1074-7613(00)80480-x

  82. 82.

    Davoodzadeh Gholami M Kardar GA Saeedi Y Heydari S Garssen J Falak R. Exhaustion of T lymphocytes in the tumor microenvironment: significance and effective mechanisms. Cell Immunol (2017 ) 322:1–14.

    Not in our library10.1016/j.cellimm.2017.10.002

  83. 83.

    Topalian SL Hodi FS Brahmer JR Gettinger SN Smith DC McDermott DF Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. N Engl J Med (2012 ) 366:2443–54.

    Not in our library10.1056/nejmoa1200690

  84. 84.

    Larkin J Chiarion-Sileni V Gonzalez R Grob JJ Cowey CL Lao CD Combined nivolumab and ipilimumab or monotherapy in untreated melanoma. N Engl J Med (2015 ) 373:23–34.

    Not in our library10.1056/nejmoa1504030

  85. 85.

    Ehrlich P Vol. II. Immunology and cancer research. In: Himmelweit F Marquardt M Dale H, editors. Collected Papers of Paul Ehrlich: In Four Volumes Including a Complete Bibliography. London: Pergamon Press (1960 ).

    Not in our library

  86. 86.

    Burnet FM Immunological surveillance in neoplasia. Immunol Rev (1971 ) 7:3–25.

    Not in our library10.1111/j.1600-065x.1971.tb00461.x

  87. 87.

    Thomas L. On immunosurveillance in human cancer. Yale J Biol Med (1982 ) 55:329–33.

    Not in our library

  88. 88.

    Dunn GP Bruce AT Ikeda H Old LJ Schreiber RD. Cancer immunoediting: from immunosurveillance to tumor escape. Nat Immunol (2002 ) 3:991–8.

    Not in our library10.1038/ni1102-991

  89. 89.

    Dunn GP Old LJ Schreiber RD. The three Es of cancer immunoediting. Annu Rev Immunol (2004 ) 22:329–60.

    Not in our library10.1146/annurev.immunol.22.012703.104803

  90. 90.
  91. 91.

    Hingorani SR Petricoin EF Maitra A Rajapakse V King C Jacobetz MA Preinvasive and invasive ductal pancreatic cancer and its early detection in the mouse. Cancer Cell (2003 ) 4:437–50.

    Not in our library10.1016/s1535-6108(03)00309-x

  92. 92.

    Clark CE Hingorani SR Mick R Combs C Tuveson DA Vonderheide RH. Dynamics of the immune reaction to pancreatic cancer from inception to invasion. Cancer Res (2007 ) 67:9518–27.

    Not in our library10.1158/0008-5472.can-07-0175

  93. 93.

    Evans RA Diamond MS Rech AJ Chao T Richardson MW Lin JH Lack of immunoediting in murine pancreatic cancer reversed with neoantigen. JCI Insight (2016 ) 1.

    Not in our library10.1172/jci.insight.88328

  94. 94.

    Foley K Kim V Jaffee E Zheng L. Current progress in immunotherapy for pancreatic cancer. Cancer Lett (2016 ) 381:244–51.

    Not in our library10.1016/j.canlet.2015.12.020

  95. 95.

    Hiraoka N Onozato K Kosuge T Hirohashi S. Prevalence of FOXP3+ regulatory T cells increases during the progression of pancreatic ductal adenocarcinoma and its premalignant lesions. Clin Cancer Res (2006 ) 12:5423–34.

    Not in our library10.1158/1078-0432.ccr-06-0369

  96. 96.

    Vonderheide RH. The immune revolution: a case for priming, not checkpoint. Cancer Cell (2018 ) 33:563–9.

    Not in our library10.1016/j.ccell.2018.03.008

  97. 97.

    Beatty GL Gladney WL. Immune escape mechanisms as a guide for cancer immunotherapy. Clin Cancer Res (2015 ) 21:687–92.

    Not in our library10.1158/1078-0432.ccr-14-1860

  98. 98.

    Yarchoan M Johnson BA Lutz ER Laheru DA Jaffee EM. Targeting neoantigens to augment antitumour immunity. Nat Rev Cancer (2017 ) 17:209–22.

    Not in our library10.1038/nrc.2016.154

  99. 99.

    Topalian SL Taube JM Anders RA Pardoll DM. Mechanism-driven biomarkers to guide immune checkpoint blockade in cancer therapy. Nat Rev Cancer (2016 ) 16:275–87.

    Not in our library10.1038/nrc.2016.36

  100. 100.

    Coulie PG Van Den Eynde BJ Van Der Bruggen P Boon T. Tumour antigens recognized by T lymphocytes: at the core of cancer immunotherapy. Nat Rev Cancer (2014 ) 14:135–46.

    Not in our library10.1038/nrc3670

  101. 101.

    Campbell BB Light N Fabrizio D Zatzman M Fuligni F de Borja R Comprehensive analysis of hypermutation in human cancer. Cell (2017 ) 171:1042.e–56.e.

    Not in our library10.1016/j.cell.2017.09.048

  102. 102.

    Vogelstein B Papadopoulos N Velculescu VE Zhou S Diaz LA Kinzler KW Cancer genome landscapes. Science (2013 ) 339:1546–58.

    Not in our library10.1126/science.1235122

  103. 103.

    Goodman AM Kato S Bazhenova L Patel SP Frampton GM Miller V Tumor mutational burden as an independent predictor of response to immunotherapy in diverse cancers. Mol Cancer Ther (2017 ) 16(11):2598–608.

    Not in our library10.1158/1535-7163.mct-17-0386

  104. 104.

    Rizvi NA Hellmann MD Snyder A Kvistborg P Makarov V Havel JJ Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer. Science (2015 ) 348:124–8.

    Not in our library10.1126/science.aaa1348

  105. 105.

    Yarchoan M Hopkins A Jaffee EM Tumor mutational burden and response rate to PD-1 inhibition. N Engl J Med (2017 ) 377:2500–1.

    Not in our library10.1056/nejmc1713444

  106. 106.

    Le DT Durham JN Smith KN Wang H Bartlett BR Aulakh LK Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science (2017 ) 357:409–13.

    Not in our library10.1126/science.aan6733

  107. 107.

    Germano G Lamba S Rospo G Barault L Magri A Maione F Inactivation of DNA repair triggers neoantigen generation and impairs tumour growth. Nature (2017 ) 552:1–5.

    Not in our library10.1038/nature24673

  108. 108.

    Humphris JL Patch AM Nones K Bailey PJ Johns AL McKay S Hypermutation in pancreatic cancer. Gastroenterology (2017 ) 152:68.e–74.e.

    Not in our library10.1053/j.gastro.2016.09.060

  109. 109.
  110. 110.

    Lawrence MS Stojanov P Polak P Kryukov GV Cibulskis K Sivachenko A Mutational heterogeneity in cancer and the search for new cancer-associated genes. Nature (2013 ) 499:214–8.

    Not in our library10.1038/nature12213

  111. 111.

    Balachandran VP Luksza M Zhao JN Makarov V Moral JA Remark R Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer. Nature (2017 ) 551:S12–6.

    Not in our library10.1038/nature24462

  112. 112.

    de Charette M Marabelle A Houot R. Turning tumour cells into antigen presenting cells: the next step to improve cancer immunotherapy? Eur J Cancer (2016 ) 68:134–47.

    Not in our library10.1016/j.ejca.2016.09.010

  113. 113.

    Delp K Momburg F Hilmes C Huber C Seliger B. Functional deficiencies of components of the MHC class I antigen pathway in human tumors of epithelial origin. Bone Marrow Transplant (2000 ) 25:S88–95.

    Not in our library10.1038/sj.bmt.1702363

  114. 114.

    Herrmann F Lehr HA Drexler I Sutter G Hengstler J Wollscheid U HER-2/neu-mediated regulation of components of the MHC class I antigen-processing pathway. Cancer Res (2004 ) 64:215–20.

    Not in our library10.1158/0008-5472.can-2522-2

  115. 115.

    Paulson KG Tegeder A Willmes C Iyer JG Afanasiev OK Schrama D Downregulation of MHC-I expression is prevalent but reversible in Merkel cell carcinoma. Cancer Immunol Res (2014 ) 2:1071–9.

    Not in our library10.1158/2326-6066.cir-14-0005

  116. 116.

    Leone P Shin EC Perosa F Vacca A Dammacco F Racanelli V. MHC class I antigen processing and presenting machinery: organization, function, and defects in tumor cells. J Natl Cancer Inst (2013 ) 105:1172–87.

    Not in our library10.1093/jnci/djt184

  117. 117.

    Lohmann S Wollscheid U Huber C Seliger B. Multiple levels of MHC class I down-regulation by ras oncogenes. Scand J Immunol (1996 ) 43:537–44.

    Not in our library10.1046/j.1365-3083.1996.d01-73.x

  118. 118.

    Seliger B Harders C Wollscheid U Staege MS Reske-Kunz AB Huber C. Suppression of MHC class I antigens in oncogenic transformants: association with decreased recognition by cytotoxic T lymphocytes. Exp Hematol (1996 ) 24:1275–9.

    Not in our library

  119. 119.

    Mimura K Shiraishi K Mueller A Izawa S Kua L-F So J The MAPK pathway is a predominant regulator of HLA-A expression in esophageal and gastric cancer. J Immunol (2013 ) 191:6261–72.

    Not in our library10.4049/jimmunol.1301597

  120. 120.

    Pommier A Anaparthy N Memos N Kelley ZL Gouronnec A Yan R Unresolved endoplasmic reticulum stress engenders immune-resistant, latent pancreatic cancer metastases. Science (2018 ) 360:eaao4908.

    Not in our library10.1126/science.aao4908

  121. 121.

    Snyder A Makarov V Merghoub T Yuan J Zaretsky JM Desrichard A Genetic basis for clinical response to CTLA-4 blockade in melanoma. N Engl J Med (2014 ) 371:2189–99.

    Not in our library10.1056/nejmoa1406498

  122. 122.

    Van Allen EM Miao D Schilling B Shukla SA Blank C Zimmer L Genomic correlates of response to CTLA-4 blockade in metastatic melanoma. Science (2015 ) 350:207–11.

    Not in our library10.1126/science.aad0095

  123. 123.

    Hugo W Zaretsky JM Sun L Song C Moreno BH Hu-Lieskovan S Genomic and transcriptomic features of response to anti-PD-1 therapy in metastatic melanoma. Cell (2016 ) 165:35–44.

    Not in our library10.1016/j.cell.2016.02.065

  124. 124.
  125. 125.

    Balli D Rech AJ Stanger BZ Vonderheide RH. Immune cytolytic activity stratifies molecular subsets of human pancreatic cancer. Clin Cancer Res (2017 ) 23:3129–38.

    Not in our library10.1158/1078-0432.ccr-16-2128

  126. 126.

    Collisson EA Sadanandam A Olson P Gibb WJ Truitt M Gu S Subtypes of pancreatic ductal adenocarcinoma and their differing responses to therapy. Nat Med (2011 ) 17:500–3.

    Not in our library10.1038/nm.2344

  127. 127.

    Moffitt RA Marayati R Flate EL Volmar KE Loeza SGH Hoadley KA Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma. Nat Genet (2015 ) 47:1168–78.

    Not in our library10.1038/ng.3398

  128. 128.

    Biankin AV Waddell N Kassahn KS Gingras MC Muthuswamy LB Johns AL Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes. Nature (2012 ) 491:399–405.

    Not in our library10.1038/nature11547

  129. 129.

    Waddell N Pajic M Patch AM Chang DK Kassahn KS Bailey P Whole genomes redefine the mutational landscape of pancreatic cancer. Nature (2015 ) 518:495–501.

    Not in our library10.1038/nature14169

  130. 130.

    Bailey P Chang DK Nones K Johns AL Patch AM Gingras MC Genomic analyses identify molecular subtypes of pancreatic cancer. Nature (2016 ) 531:47–52.

    Not in our library10.1038/nature16965

  131. 131.

    Rooney MS Shukla SA Wu CJ Getz G Hacohen N. Molecular and genetic properties of tumors associated with local immune cytolytic activity. Cell (2015 ) 160:48–61.

    Not in our library10.1016/j.cell.2014.12.033

  132. 132.

    Pylayeva-Gupta Y Lee KE Hajdu CH Miller G Bar-Sagi D. Oncogenic Kras-induced GM-CSF production promotes the development of pancreatic neoplasia. Cancer Cell (2012 ) 21:836–47.

    Not in our library10.1016/j.ccr.2012.04.024

  133. 133.

    McAllister F Bailey JM Alsina J Nirschl CJ Sharma R Fan H Oncogenic kras activates a hematopoietic-to-epithelial IL-17 signaling axis in preinvasive pancreatic neoplasia. Cancer Cell (2014 ) 25:621–37.

    Not in our library10.1016/j.ccr.2014.03.014

  134. 134.

    Vonderheide RH. Tumor-promoting inflammatory networks in pancreatic neoplasia: another reason to loathe kras. Cancer Cell (2014 ) 25:553–4.

    Not in our library10.1016/j.ccr.2014.04.020

  135. 135.

    Zhang J Wolfgang C Zheng L. Precision immuno-oncology: prospects of individualized immunotherapy for pancreatic cancer. Cancers (Basel) (2018 ) 10:39.

    Not in our library10.3390/cancers10020039

  136. 136.

    Lastwika KJ Wilson W Li QK Norris J Xu H Ghazarian SR Control of PD-L1 expression by oncogenic activation of the AKT-mTOR pathway in non-small cell lung cancer. Cancer Res (2016 ) 76:227–38.

    Not in our library10.1158/0008-5472.can-14-3362

  137. 137.

    Parsa AT Waldron JS Panner A Crane CA Parney IF Barry JJ Loss of tumor suppressor PTEN function increases B7-H1 expression and immunoresistance in glioma. Nat Med (2007 ) 13:84–8.

    Not in our library10.1038/nm1517

  138. 138.

    Casey SC Tong L Li Y Do R Walz S Fitzgerald KN MYC regulates the antitumor immune response through CD47 and PD-L1. Science (2016 ) 352:227–31.

    Not in our library10.1126/science.aac9935

  139. 139.

    Feng J Yang H Zhang Y Wei H Zhu Z Zhu B Tumor cell-derived lactate induces TAZ-dependent upregulation of PD-L1 through GPR81 in human lung cancer cells. Oncogene (2017 ) 36:5829–39.

    Not in our library10.1038/onc.2017.188

  140. 140.

    Zhang Y Velez-Delgado A Mathew E Li D Mendez FM Flannagan K Myeloid cells are required for PD-1/PD-L1 checkpoint activation and the establishment of an immunosuppressive environment in pancreatic cancer. Gut (2017 ) 66:124–36.

    Not in our library10.1136/gutjnl-2016-312078

  141. 141.

    Hamid O Robert C Daud A Hodi FS Hwu W-J Kefford R Safety and tumor responses with lambrolizumab (anti-PD-1) in melanoma. N Engl J Med (2013 ) 369:134–44.

    Not in our library10.1056/nejmoa1305133

  142. 142.

    Khandelwal N Breinig M Speck T Michels T Kreutzer C Sorrentino A A high-throughput RNAi screen for detection of immune-checkpoint molecules that mediate tumor resistance to cytotoxic T lymphocytes. EMBO Mol Med (2015 ) 7:450–63.

    Not in our library10.15252/emmm.201404414

  143. 143.

    Lim SO Li CW Xia W Cha JH Chan LC Wu Y Deubiquitination and stabilization of PD-L1 by CSN5. Cancer Cell (2016 ) 30:925–39.

    Not in our library10.1016/j.ccell.2016.10.010

  144. 144.

    Lu C Paschall AV Shi H Savage N Waller JL Sabbatini ME The MLL1-H3K4me3 axis-mediated PD-L1 expression and pancreatic cancer immune evasion. J Natl Cancer Inst (2017 ) 109.

    Not in our library10.1093/jnci/djw283

  145. 145.

    Dunn GP Bruce AT Sheehan KCF Shankaran V Uppaluri R Bui JD A critical function for type I interferons in cancer immunoediting. Nat Immunol (2005 ) 6:722–9.

    Not in our library10.1038/ni1213

  146. 146.

    Gao J Shi LZ Zhao H Chen J Xiong L He Q Loss of IFN-γ pathway genes in tumor cells as a mechanism of resistance to anti-CTLA-4 therapy. Cell (2016 ) 167:397.e–404.e.

    Not in our library10.1016/j.cell.2016.08.069

  147. 147.

    Patel SJ Sanjana NE Kishton RJ Eidizadeh A Vodnala SK Cam M Identification of essential genes for cancer immunotherapy. Nature (2017 ) 548:537–42.

    Not in our library10.1038/nature23477

  148. 148.

    Mandai M Hamanishi J Abiko K Matsumura N Baba T Konishi I Dual faces of ifnγ in cancer progression: a role of pd-l1 induction in the determination of pro and antitumor immunity. Clin Cancer Res (2016 ) 22:2329–34.

    Not in our library10.1158/1078-0432.ccr-16-0224

  149. 149.

    Shin DS Zaretsky JM Escuin-Ordinas H Garcia-Diaz A Hu-Lieskovan S Kalbasi A Primary resistance to PD-1 blockade mediated by JAK1/2 mutations. Cancer Discov (2017 ) 7:188–201.

    Not in our library10.1158/2159-8290.cd-16-1223

  150. 150.

    Cogdill AP Andrews MC Wargo JA. Hallmarks of response to immune checkpoint blockade. Br J Cancer (2017 ) 117:1–7.

    Not in our library10.1038/bjc.2017.136

  151. 151.

    Mellor AL Munn DH. Creating immune privilege: active local suppression that benefits friends, but protects foes. Nat Rev Immunol (2008 ) 8:74–80.

    Not in our library10.1038/nri2264

  152. 152.

    Highfill SL Cui Y Giles AJ Smith JP Zhang H Morse E Disruption of CXCR2-mediated MDSC tumor trafficking enhances anti-PD1 efficacy. Sci Transl Med (2014 ) 6:237ra67.

    Not in our library10.1126/scitranslmed.3007974

  153. 153.

    Lesokhin AM Hohl TM Kitano S Cortez C Hirschhorn-Cymerman D Avogadri F Monocytic CCR2+ myeloid-derived suppressor cells promote immune escape by limiting activated CD8 T-cell infiltration into the tumor microenvironment. Cancer Res (2012 ) 72:876–86.

    Not in our library10.1158/0008-5472.can-11-1792

  154. 154.

    Hwang RF Moore T Arumugam T Ramachandran V Amos KD Rivera A Cancer-associated stromal fibroblasts promote pancreatic tumor progression. Cancer Res (2008 ) 68:918–26.

    Not in our library10.1158/0008-5472.can-07-5714

  155. 155.

    Özdemir BC Pentcheva-Hoang T Carstens JL Zheng X Wu CC Simpson TR Depletion of carcinoma-associated fibroblasts and fibrosis induces immunosuppression and accelerates pancreas cancer with reduced survival. Cancer Cell (2014 ) 25:719–34.

    Not in our library10.1016/j.ccr.2014.04.005

  156. 156.
  157. 157.

    Ene-Obong A Clear AJ Watt J Wang J Fatah R Riches JC Activated pancreatic stellate cells sequester CD8+ T cells to reduce their infiltration of the juxtatumoral compartment of pancreatic ductal adenocarcinoma. Gastroenterology (2013 ) 145:1121–32.

    Not in our library10.1053/j.gastro.2013.07.025

  158. 158.

    Feig C Jones JO Kraman M Wells RJB Deonarine A Chan DS Targeting CXCL12 from FAP-expressing carcinoma-associated fibroblasts synergizes with anti-PD-L1 immunotherapy in pancreatic cancer. Proc Natl Acad Sci U S A (2013 ) 110:20212–7.

    Not in our library10.1073/pnas.1320318110

  159. 159.

    Johnson BA Yarchoan M Lee V Laheru DA Jaffee EM. Strategies for increasing pancreatic tumor immunogenicity. Clin Cancer Res (2017 ) 23:1656–69.

    Not in our library10.1158/1078-0432.ccr-16-2318

  160. 160.

    Jiang H Hegde S Knolhoff BL Zhu Y Herndon JM Meyer MA Targeting focal adhesion kinase renders pancreatic cancers responsive to checkpoint immunotherapy. Nat Med (2016 ) 22:851–60.

    Not in our library10.1038/nm.4123

  161. 161.

    Infante JR Camidge DR Mileshkin LR Chen EX Hicks RJ Rischin D Safety, pharmacokinetic, and pharmacodynamic phase I dose-escalation trial of PF-00562271, an inhibitor of focal adhesion kinase, in advanced solid tumors. J Clin Oncol (2012 ) 30:1527–33.

    Not in our library10.1200/jco.2011.38.9346

  162. 162.

    Jones SF Siu LL Bendell JC Cleary JM Razak ARA Infante JR A phase i study of VS-6063, a second-generation focal adhesion kinase inhibitor, in patients with advanced solid tumors. Invest New Drugs (2015 ) 33:1100–7.

    Not in our library10.1007/s10637-015-0282-y

  163. 163.

    Soria JC Gan HK Blagden SP Plummer R Arkenau HT Ranson M A phase I, pharmacokinetic and pharmacodynamic study of GSK2256098, a focal adhesion kinase inhibitor, in patients with advanced solid tumors. Ann Oncol (2016 ) 27:2268–74.

    Not in our library10.1093/annonc/mdw427

  164. 164.

    Lesina M Kurkowski MU Ludes K Rose-John S Treiber M Klöppel G Stat3/Socs3 activation by IL-6 transsignaling promotes progression of pancreatic intraepithelial neoplasia and development of pancreatic cancer. Cancer Cell (2011 ) 19:456–69.

    Not in our library10.1016/j.ccr.2011.03.009

  165. 165.

    Fukuda A Wang SC Morris JP Folias AE Liou A Kim GE Stat3 and MMP7 contribute to pancreatic ductal adenocarcinoma initiation and progression. Cancer Cell (2011 ) 19:441–55.

    Not in our library10.1016/j.ccr.2011.03.002

  166. 166.

    Kang R Loux T Tang D Schapiro NE Vernon P Livesey KM The expression of the receptor for advanced glycation endproducts (RAGE) is permissive for early pancreatic neoplasia. Proc Natl Acad Sci U S A (2012 ) 109:7031–6.

    Not in our library10.1073/pnas.1113865109

  167. 167.

    Zhang Y Yan W Collins MA Bednar F Rakshit S Zetter BR Interleukin-6 is required for pancreatic cancer progression by promoting MAPK signaling activation and oxidative stress resistance. Cancer Res (2013 ) 73:6359–74.

    Not in our library10.1158/0008-5472.can-13-1558-t

  168. 168.

    Angevin E Tabernero J Elez E Cohen SJ Bahleda R van Laethem J-L A phase I/II, multiple-dose, dose-escalation study of siltuximab, an anti-interleukin-6 monoclonal antibody, in patients with advanced solid tumors. Clin Cancer Res (2014 ) 20:2192–204.

    Not in our library10.1158/1078-0432.ccr-13-2200

  169. 169.

    Mace TA Shakya R Pitarresi JR Swanson B McQuinn CW Loftus S IL-6 and PD-L1 antibody blockade combination therapy reduces tumour progression in murine models of pancreatic cancer. Gut (2018 ) 67:320–32.

    Not in our library10.1136/gutjnl-2016-311585

  170. 170.

    Sato N Kohi S Hirata K Goggins M. Role of hyaluronan in pancreatic cancer biology and therapy: once again in the spotlight. Cancer Sci (2016 ) 107:569–75.

    Not in our library10.1111/cas.12913

  171. 171.
  172. 172.

    Jacobetz MA Chan DS Neesse A Bapiro TE Cook N Frese KK Hyaluronan impairs vascular function and drug delivery in a mouse model of pancreatic cancer. Gut (2013 ) 62:112–20.

    Not in our library10.1136/gutjnl-2012-302529

  173. 173.

    Provenzano PP Cuevas C Chang AE Goel VK Von Hoff DD Hingorani SR. Enzymatic targeting of the stroma ablates physical barriers to treatment of pancreatic ductal adenocarcinoma. Cancer Cell (2012 ) 21:418–29.

    Not in our library10.1016/j.ccr.2012.01.007

  174. 174.

    Thompson CB Shepard HM O’Connor PM Kadhim S Jiang P Osgood RJ Enzymatic depletion of tumor hyaluronan induces antitumor responses in preclinical animal models. Mol Cancer Ther (2010 ) 9:3052–64.

    Not in our library10.1158/1535-7163.mct-10-0470

  175. 175.

    Singha NC Nekoroski T Zhao C Symons R Jiang P Frost GI Tumor-associated hyaluronan limits efficacy of monoclonal antibody therapy. Mol Cancer Ther (2015 ) 14:523–32.

    Not in our library10.1158/1535-7163.mct-14-0580

  176. 176.

    Blache CA Manuel ER Kaltcheva TI Wong AN Ellenhorn JDI Blazar BR Systemic delivery of Salmonella typhimurium transformed with IDO shRNA enhances intratumoral vector colonization and suppresses tumor growth. Cancer Res (2012 ) 72:6447–56.

    Not in our library10.1158/0008-5472.can-12-0193

  177. 177.

    Manuel ER Chen J D’Apuzzo M Lampa MG Kaltcheva TI Thompson CB Salmonella-based therapy targeting indoleamine 2,3-dioxygenase coupled with enzymatic depletion of tumor hyaluronan induces complete regression of aggressive pancreatic tumors. Cancer Immunol Res (2015 ) 3:1096–107.

    Not in our library10.1158/2326-6066.cir-14-0214

  178. 178.

    Sherman MH Yu RT Engle DD Ding N Atkins AR Tiriac H Vitamin D receptor-mediated stromal reprogramming suppresses pancreatitis and enhances pancreatic cancer therapy. Cell (2014 ) 159:80–93.

    Not in our library10.1016/j.cell.2014.08.007

  179. 179.

    Kumar V Patel S Tcyganov E Gabrilovich DI. The nature of myeloid-derived suppressor cells in the tumor microenvironment. Trends Immunol (2016 ) 37:208–20.

    Not in our library10.1016/j.it.2016.01.004

  180. 180.

    Sica A Larghi P Mancino A Rubino L Porta C Totaro MG Macrophage polarization in tumour progression. Semin Cancer Biol (2008 ) 18:349–55.

    Not in our library10.1016/j.semcancer.2008.03.004

  181. 181.

    Ino Y Yamazaki-Itoh R Shimada K Iwasaki M Kosuge T Kanai Y Immune cell infiltration as an indicator of the immune microenvironment of pancreatic cancer. Br J Cancer (2013 ) 108:914–23.

    Not in our library10.1038/bjc.2013.32

  182. 182.

    Protti MP De Monte L. Immune infiltrates as predictive markers of survival in pancreatic cancer patients. Front Physiol (2013 ) 4:210.

    Not in our library10.3389/fphys.2013.00210

  183. 183.

    Monu NR Frey AB. Myeloid-derived suppressor cells and anti-tumor T cells: a complex relationship. Immunol Invest (2012 ) 41:595–613.

    Not in our library10.3109/08820139.2012.673191

  184. 184.

    Shibuya KC Goel VK Xiong W Sham JG Pollack SM Leahy AM Pancreatic ductal adenocarcinoma contains an effector and regulatory immune cell infiltrate that is altered by multimodal neoadjuvant treatment. PLoS One (2014 ) 9:e96565.

    Not in our library10.1371/journal.pone.0096565

  185. 185.

    Tassi E Gavazzi F Albarello L Senyukov V Longhi R Dellabona P Carcinoembryonic antigen-specific but not antiviral CD4+ T cell immunity is impaired in pancreatic carcinoma patients. J Immunol (2008 ) 181:6595–603.

    Not in our library10.4049/jimmunol.181.9.6595

  186. 186.

    De Monte L Reni M Tassi E Clavenna D Papa I Recalde H Intratumor T helper type 2 cell infiltrate correlates with cancer-associated fibroblast thymic stromal lymphopoietin production and reduced survival in pancreatic cancer. J Exp Med (2011 ) 208:469–78.

    Not in our library10.1084/jem.20101876

  187. 187.

    Soares KC Rucki AA Kim V Foley K Solt S Wolfgang CL TGF-β blockade depletes T regulatory cells from metastatic pancreatic tumors in a vaccine dependent manner. Oncotarget (2015 ) 6:43005–15.

    Not in our library10.18632/oncotarget.5656

  188. 188.

    Soares KC Rucki AA Wu AA Olino K Xiao Q Chai Y PD-1/PD-L1 blockade together with vaccine therapy facilitates effector T-cell infiltration into pancreatic tumors. J Immunother (2015 ) 38:1–11.

    Not in our library10.1097/cji.0000000000000062

  189. 189.
  190. 190.

    Quezada SA Jarvinen LZ Lind EF Noelle RJ. CD40/CD154 interactions at the interface of tolerance and immunity. Annu Rev Immunol (2004 ) 22:307–28.

    Not in our library10.1146/annurev.immunol.22.012703.104533

  191. 191.

    Schoenberger SP Toes REM Van der Voort EIH Offringa R Melief CJM T-cell help for cytotoxic T-lymphocytes is mediated by CD40-CD40L interactions. Nature (1998 ) 393:480–3.

    Not in our library10.1038/31002

  192. 192.

    Bennett SRM Carbone FR Karamalis F Flavell RA Miller JFAP Heath WR. Help for cytotoxic-T-cell responses is mediated by CD40 signalling. Nature (1998 ) 393:478–80.

    Not in our library10.1038/30996

  193. 193.

    Ridge JP Di Rosa F Matzinger P. A conditioned dendritic cell can be a temporal bridge between a CD4+ T-helper and a T-killer cell. Nature (1998 ) 393:474–8.

    Not in our library10.1038/30989

  194. 194.

    French RR Chan HTC Tutt AL Glennie MJ. CD40 antibody evokes a cytotoxic T-cell response that eradicates lymphoma and bypasses T-cell help. Nat Med (1999 ) 5:548–53.

    Not in our library10.1038/8426

  195. 195.

    Diehl L Den Boer AT Schoenberger SP Van Der Voort EIH Schumacher TNM Melief CJM CD40 activation in vivo overcomes peptide-induced peripheral cytotoxic T-lymphocyte tolerance and augments anti-tumor vaccine efficacy. Nat Med (1999 ) 5:774–9.

    Not in our library10.1038/10495

  196. 196.

    Sotomayor EM Borrello I Tubb E Rattis FM Bien H Lu Z Conversion of tumor-specific CD4+ T-cell tolerance to T-cell priming through in vivo ligation of cd40. Nat Med (1999 ) 5:780–7.

    Not in our library10.1038/10503

  197. 197.

    Beatty GL Chiorean EG Fishman MP Saboury B Teitelbaum UR Sun W CD40 agonists alter tumor stroma and show efficacy against pancreatic carcinoma in mice and humans. Science (2011 ) 331:1612–6.

    Not in our library10.1126/science.1198443

  198. 198.

    Beatty GL Winograd R Evans RA Long KB Luque SL Lee JW Exclusion of T cells from pancreatic carcinomas in mice is regulated by Ly6Clow F4/80+ extratumoral macrophages. Gastroenterology (2015 ) 149:201–10.

    Not in our library10.1053/j.gastro.2015.04.010

  199. 199.

    Vonderheide RH Burg JM Mick R Trosko JA Li D Shaik MN Phase I study of the CD40 agonist antibody CP-870,893 combined with carboplatin and paclitaxel in patients with advanced solid tumors. Oncoimmunology (2013 ) 2:e23033.

    Not in our library10.4161/onci.23033

  200. 200.

    Vonderheide RH Flaherty KT Khalil M Stumacher MS Bajor DL Hutnick NA Clinical activity and immune modulation in cancer patients treated with CP-870,893, a novel CD40 agonist monoclonal antibody. J Clin Oncol (2007 ) 25:876–83.

    Not in our library10.1200/jco.2006.08.3311

  201. 201.

    Nowak AK Cook AM McDonnell AM Millward MJ Creaney J Francis RJ A phase 1b clinical trial of the CD40-activating antibody CP-870,893 in combination with cisplatin and pemetrexed in malignant pleural mesothelioma. Ann Oncol (2015 ) 26:2483–90.

    Not in our library10.1093/annonc/mdv387

  202. 202.

    Beatty GL Torigian DA Chiorean EG Saboury B Brothers A Alavi A A phase I study of an agonist CD40 monoclonal antibody (CP-870,893) in combination with gemcitabine in patients with advanced pancreatic ductal adenocarcinoma. Clin Cancer Res (2013 ) 19:6286–95.

    Not in our library10.1158/1078-0432.ccr-13-1320

  203. 203.
  204. 204.

    Acosta JC O’Loghlen A Banito A Guijarro MV Augert A Raguz S Chemokine signaling via the CXCR2 receptor reinforces senescence. Cell (2008 ) 133:1006–18.

    Not in our library10.1016/j.cell.2008.03.038

  205. 205.

    Lesina M Wörmann SM Morton J Diakopoulos KN Korneeva O Wimmer M RelA regulates CXCL1/CXCR2-dependent oncogene-induced senescence in murine Kras-driven pancreatic carcinogenesis. J Clin Invest (2016 ) 126:2919–32.

    Not in our library10.1172/jci86477

  206. 206.

    Cacalano G Lee J Kikly K Ryan AM Pitts-Meek S Hultgren B Neutrophil and B cell expansion in mice that lack the murine IL-8 receptor homolog. Science (1994 ) 265:682–4.

    Not in our library10.1126/science.8036519

  207. 207.

    Eash KJ Greenbaum AM Gopalan PK Link DC. CXCR2 and CXCR4 antagonistically regulate neutrophil trafficking from murine bone marrow. J Clin Invest (2010 ) 120:2423–31.

    Not in our library10.1172/jci41649

  208. 208.

    Chao T Furth EE Vonderheide RH. CXCR2-dependent accumulation of tumor-associated neutrophils regulates T-cell immunity in pancreatic ductal adenocarcinoma. Cancer Immunol Res (2016 ) 4:968–82.

    Not in our library10.1158/2326-6066.cir-16-0188

  209. 209.

    Kaneider NC Agarwal A Leger AJ Kuliopulos A. Reversing systemic inflammatory response syndrome with chemokine receptor pepducins. Nat Med (2005 ) 11:661–5.

    Not in our library10.1038/nm1245

  210. 210.

    Jamieson T Clarke M Steele CW Samuel MS Neumann J Jung A Inhibition of CXCR2 profoundly suppresses inflammation-driven and spontaneous tumorigenesis. J Clin Invest (2012 ) 122:3127–44.

    Not in our library10.1172/jci61067

  211. 211.

    Nicholls DJ Wiley K Dainty I MacIntosh F Phillips C Gaw A Pharmacological characterization of AZD5069, a slowly reversible CXC chemokine receptor 2 antagonist. J Pharmacol Exp Ther (2015 ) 353:340–50.

    Not in our library10.1124/jpet.114.221358

  212. 212.

    Steele CW Karim SA Leach JDG Bailey P Upstill-Goddard R Rishi L CXCR2 inhibition profoundly suppresses metastases and augments immunotherapy in pancreatic ductal adenocarcinoma. Cancer Cell (2016 ) 29:832–45.

    Not in our library10.1016/j.ccell.2016.04.014

  213. 213.

    Stromnes IM Schmitt TM Hulbert A Brockenbrough JS Nguyen HN Cuevas C T cells engineered against a native antigen can surmount immunologic and physical barriers to treat pancreatic ductal adenocarcinoma. Cancer Cell (2015 ) 28:638–52.

    Not in our library10.1016/j.ccell.2015.09.022

  214. 214.

    Lin EY Nguyen AV Russell RG Pollard JW. Colony-stimulating factor 1 promotes progression of mammary tumors to malignancy. J Exp Med (2001 ) 193:727–40.

    Not in our library10.1084/jem.193.6.727

  215. 215.
  216. 216.

    Zhu Y Knolhoff BL Meyer MA Nywening TM West BL Luo J CSF1/CSF1R blockade reprograms tumor-infiltrating macrophages and improves response to T-cell checkpoint immunotherapy in pancreatic cancer models. Cancer Res (2014 ) 74:5057–69.

    Not in our library10.1158/0008-5472.can-13-3723

  217. 217.

    Kumar V Donthireddy L Marvel D Condamine T Wang F Lavilla-Alonso S Cancer-associated fibroblasts neutralize the anti-tumor effect of CSF1 receptor blockade by inducing PMN-MDSC infiltration of tumors. Cancer Cell (2017 ) 32:654–68.e5.

    Not in our library10.1016/j.ccell.2017.10.005

  218. 218.

    Zhou J Nefedova Y Lei A Gabrilovich D. Neutrophils and PMN-MDSC: their biological role and interaction with stromal cells. Semin Immunol (2018 ) 35:19–28.

    Not in our library10.1016/j.smim.2017.12.004

  219. 219.

    Sagiv-Barfi I Kohrt HEK Czerwinski DK Ng PP Chang BY Levy R. Therapeutic antitumor immunity by checkpoint blockade is enhanced by ibrutinib, an inhibitor of both BTK and ITK. Proc Natl Acad Sci U S A (2015 ) 112:E966–72.

    Not in our library10.1073/pnas.1500712112

  220. 220.

    Masso-Valles D Jauset T Serrano E Sodir NM Pedersen K Affara NI Ibrutinib exerts potent antifibrotic and antitumor activities in mouse models of pancreatic adenocarcinoma. Cancer Res (2015 ) 75:1675–81.

    Not in our library10.1158/0008-5472.can-14-2852

  221. 221.

    Gunderson AJ Kaneda MM Tsujikawa T Nguyen AV Affara NI Ruffell B Bruton tyrosine kinase-dependent immune cell cross-talk drives pancreas cancer. Cancer Discov (2016 ) 6:270–85.

    Not in our library10.1158/2159-8290.cd-15-0827

  222. 222.

    Dubovsky JA Beckwith KA Natarajan G Woyach JA Jaglowski S Zhong Y Ibrutinib is an irreversible molecular inhibitor of ITK driving a Th1-selective pressure in T lymphocytes. Blood (2013 ) 122:2539–49.

    Not in our library10.1182/blood-2013-06-507947

  223. 223.

    Zou C Zhao P Xiao Z Han X Fu F Fu L γδ T cells in cancer immunotherapy. Oncotarget (2017 ) 8(5):8900–9.

    Not in our library10.18632/oncotarget.13051

  224. 224.

    Tanaka Y Morita CT Tanaka Y Nieves E Brenner MB Bloom BR Natural and synthetic non-peptide antigens recognized by human γδ T cells. Nature (1995 ) 375:155–8.

    Not in our library10.1038/375155a0

  225. 225.
  226. 226.

    Oberg HH Peipp M Kellner C Sebens S Krause S Petrick D Novel bispecific antibodies increase GD T-cell cytotoxicity against pancreatic cancer cells. Cancer Res (2014 ) 74:1349–60.

    Not in our library10.1158/0008-5472.can-13-0675

  227. 227.

    Daley D Zambirinis CP Seifert L Akkad N Mohan N Werba G γδ T cells support pancreatic oncogenesis by restraining αβ T cell activation. Cell (2016 ) 166:1485.e–99.e.

    Not in our library10.1016/j.cell.2016.07.046

  228. 228.

    Michalek RD Gerriets VA Jacobs SR Macintyre AN MacIver NJ Mason EF Cutting edge: distinct glycolytic and lipid oxidative metabolic programs are essential for effector and regulatory CD4+ T cell subsets. J Immunol (2011 ) 186:3299–303.

    Not in our library10.4049/jimmunol.1003613

  229. 229.

    van der Windt GJW Pearce EL. Metabolic switching and fuel choice during T-cell differentiation and memory development. Immunol Rev (2012 ) 249:27–42.

    Not in our library10.1111/j.1600-065x.2012.01150.x

  230. 230.

    Wang R Dillon CP Shi LZ Milasta S Carter R Finkelstein D The transcription factor myc controls metabolic reprogramming upon T lymphocyte activation. Immunity (2011 ) 35:871–82.

    Not in our library10.1016/j.immuni.2011.09.021

  231. 231.

    Chang C-H Curtis JD Maggi LB Faubert B Villarino AV O’Sullivan D Posttranscriptional control of T cell effector function by aerobic glycolysis. Cell (2013 ) 153:1239–51.

    Not in our library10.1016/j.cell.2013.05.016

  232. 232.

    Zheng Y Delgoffe GM Meyer CF Chan W Powell JD. Anergic T cells are metabolically anergic. J Immunol (2009 ) 183:6095–101.

    Not in our library10.4049/jimmunol.0803510

  233. 233.
  234. 234.

    Chang CH Qiu J O’Sullivan D Buck MD Noguchi T Curtis JD Metabolic competition in the tumor microenvironment is a driver of cancer progression. Cell (2015 ) 162:1229–41.

    Not in our library10.1016/j.cell.2015.08.016

  235. 235.

    Carr EL Kelman A Wu GS Gopaul R Senkevitch E Aghvanyan A Glutamine uptake and metabolism are coordinately regulated by ERK/MAPK during T lymphocyte activation. J Immunol (2010 ) 185:1037–44.

    Not in our library10.4049/jimmunol.0903586

  236. 236.

    Speiser DE Ho P-C Verdeil G. Regulatory circuits of T cell function in cancer. Nat Rev Immunol (2016 ) 16:599–611.

    Not in our library10.1038/nri.2016.80

  237. 237.

    Rodriguez PC Hernandez CP Quiceno D Dubinett SM Zabaleta J Ochoa JB Arginase I in myeloid suppressor cells is induced by COX-2 in lung carcinoma. J Exp Med (2005 ) 202:931–9.

    Not in our library10.1084/jem.20050715

  238. 238.

    Rodriguez PC Ernstoff MS Hernandez C Atkins M Zabaleta J Sierra R Arginase I-producing myeloid-derived suppressor cells in renal cell carcinoma are a subpopulation of activated granulocytes. Cancer Res (2009 ) 69:1553–60.

    Not in our library10.1158/0008-5472.can-08-1921

  239. 239.

    Löb S Königsrainer A Zieker D Brücher BLDM Rammensee HG Opelz G IDO1 and IDO2 are expressed in human tumors: levo- but not dextro-1-methyl tryptophan inhibits tryptophan catabolism. Cancer Immunol Immunother (2009 ) 58:153–7.

    Not in our library10.1007/s00262-008-0513-6

  240. 240.

    Braun D Longman RS Albert ML. A two-step induction of indoleamine 2,3 dioxygenase (IDO) activity during dendritic-cell maturation. Blood (2005 ) 106:2375–81.

    Not in our library10.1182/blood-2005-03-0979

  241. 241.

    Uyttenhove C Pilotte L Théate I Stroobant V Colau D Parmentier N Evidence for a tumoral immune resistance mechanism based on tryptophan degradation by indoleamine 2,3-dioxygenase. Nat Med (2003 ) 9:1269–74.

    Not in our library10.1038/nm934

  242. 242.

    Munn DH Shafizadeh E Attwood JT Bondarev I Pashine A Mellor AL. Inhibition of t cell proliferation by macrophage tryptophan catabolism. J Exp Med (1999 ) 189:1363–72.

    Not in our library10.1084/jem.189.9.1363

  243. 243.

    Fallarino F Grohmann U Vacca C Bianchi R Orabona C Spreca A T cell apoptosis by tryptophan catabolism. Cell Death Differ (2002 ) 9:1069–77.

    Not in our library10.1038/sj.cdd.4401073

  244. 244.

    Platten M Wick W Van Den Eynde BJ. Tryptophan catabolism in cancer: beyond IDO and tryptophan depletion. Cancer Res (2012 ) 72:5435–40.

    Not in our library10.1158/0008-5472.can-12-0569

  245. 245.

    Fischer K Hoffmann P Voelkl S Meidenbauer N Ammer J Edinger M Inhibitory effect of tumor cell-derived lactic acid on human T cells. Blood (2007 ) 109:3812–9.

    Not in our library10.1182/blood-2006-07-035972

  246. 246.

    Mendler AN Hu B Prinz PU Kreutz M Gottfried E Noessner E. Tumor lactic acidosis suppresses CTL function by inhibition of p38 and JNK/c-Jun activation. Int J Cancer (2012 ) 131:633–40.

    Not in our library10.1002/ijc.26410

  247. 247.

    Calcinotto A Filipazzi P Grioni M Iero M De Milito A Ricupito A Modulation of microenvironment acidity reverses anergy in human and murine tumor-infiltrating T lymphocytes. Cancer Res (2012 ) 72:2746–56.

    Not in our library10.1158/0008-5472.can-11-1272

  248. 248.

    Huang S Apasov S Koshiba M Sitkovsky M. Role of A2a extracellular adenosine receptor-mediated signaling in adenosine-mediated inhibition of T-cell activation and expansion. Blood (1997 ) 90:1600–10.

    Not in our library

  249. 249.
  250. 250.
  251. 251.

    Sreeramkumar V Fresno M Cuesta N. Prostaglandin E2 and T cells: friends or foes? Immunol Cell Biol (2012 ) 90:579–86.

    Not in our library10.1038/icb.2011.75

  252. 252.

    Halbrook CJ Lyssiotis CA. Employing metabolism to improve the diagnosis and treatment of pancreatic cancer. Cancer Cell (2017 ) 31:5–19.

    Not in our library10.1016/j.ccell.2016.12.006

  253. 253.

    Mueller TC Burmeister MA Bachmann J Martignoni ME. Cachexia and pancreatic cancer: are there treatment options? World J Gastroenterol (2014 ) 20:9361–73.

    Not in our library10.3748/wjg.v20.i28.9361

  254. 254.
  255. 255.
  256. 256.

    Bonetto A Aydogdu T Jin X Zhang Z Zhan R Puzis L JAK/STAT3 pathway inhibition blocks skeletal muscle wasting downstream of IL-6 and in experimental cancer cachexia. Am J Physiol Endocrinol Metab (2012 ) 303:E410–21.

    Not in our library10.1152/ajpendo.00039.2012

  257. 257.

    Gotwals P Cameron S Cipolletta D Cremasco V Crystal A Hewes B Prospects for combining targeted and conventional cancer therapy with immunotherapy. Nat Rev Cancer (2017 ) 17:286–301.

    Not in our library10.1038/nrc.2017.17

  258. 258.

    Ruess DA Görgülü K Wörmann SM Algül H. Pharmacotherapeutic management of pancreatic ductal adenocarcinoma: current and emerging concepts. Drugs Aging (2017 ) 34:331–57.

    Not in our library10.1007/s40266-017-0453-y

  259. 259.

    Zheng Y Dou Y Duan L Cong C Gao A Lai Q Using chemo-drugs or irradiation to break immune tolerance and facilitate immunotherapy in solid cancer. Cell Immunol (2015 ) 294:54–9.

    Not in our library10.1016/j.cellimm.2015.02.003

  260. 260.

    Kim SK Wu CC Horowitz DP. Stereotactic body radiotherapy for the pancreas: a critical review for the medical oncologist. J Gastrointest Oncol (2016 ) 7:479–86.

    Not in our library10.21037/jgo.2015.10.01

  261. 261.

    Kalina JL Neilson DS Comber AP Rauw JM Alexander AS Vergidis J Immune modulation by androgen deprivation and radiation therapy: implications for prostate cancer immunotherapy. Cancers (2017 ) 9:13.

    Not in our library10.3390/cancers9020013

  262. 262.

    Burnette B Weichselbaum RR. Radiation as an immune modulator. Semin Radiat Oncol (2013 ) 23:273–80.

    Not in our library10.1016/j.semradonc.2013.05.009

  263. 263.

    Postow MA Callahan MK Barker CA Yamada Y Yuan J Kitano S Immunologic correlates of the abscopal effect in a patient with melanoma. N Engl J Med (2012 ) 366:925–31.

    Not in our library10.1056/nejmoa1112824

  264. 264.

    Formenti SC Demaria S. Combining radiotherapy and cancer immunotherapy: a paradigm shift. J Natl Cancer Inst (2013 ) 105:256–65.

    Not in our library10.1093/jnci/djs629

  265. 265.

    Golden EB Demaria S Schiff PB Chachoua A Formenti SC. An abscopal response to radiation and ipilimumab in a patient with metastatic non-small cell lung cancer. Cancer Immunol Res (2013 ) 1:365–72.

    Not in our library10.1158/2326-6066.cir-13-0115

  266. 266.

    Deng L Liang H Burnette B Beckett M Darga T Weichselbaum RR Irradiation and anti-PD-L1 treatment synergistically promote antitumor immunity in mice. J Clin Invest (2014 ) 124:687–95.

    Not in our library10.1172/jci67313

  267. 267.

    Lutz ER Wu AA Bigelow E Sharma R Mo G Soares K Immunotherapy converts nonimmunogenic pancreatic tumors into immunogenic foci of immune regulation. Cancer Immunol Res (2014 ) 2:616–31.

    Not in our library10.1158/2326-6066.cir-14-0027

  268. 268.
  269. 269.

    Twyman-Saint Victor C Rech AJ Maity A Rengan R Pauken KE Stelekati E Radiation and dual checkpoint blockade activate non-redundant immune mechanisms in cancer. Nature (2015 ) 520:373–7.

    Not in our library10.1038/nature14292

  270. 270.

    Rech AJ Dada H Kotzin JJ Henao-Mejia J Minn AJ Twyman-Saint Victor C Radiotherapy and CD40 activation separately augment immunity to checkpoint blockade in cancer. Cancer Res (2018 ) 78:4282–91.

    Not in our library10.1158/0008-5472.can-17-3821

  271. 271.
  272. 272.

    Naik S Russell SJ. Engineering oncolytic viruses to exploit tumor specific defects in innate immune signaling pathways. Expert Opin Biol Ther (2009 ) 9:1163–76.

    Not in our library10.1517/14712590903170653

  273. 273.

    Chiocca EA Rabkin SD. Oncolytic viruses and their application to cancer immunotherapy. Cancer Immunol Res (2014 ) 2:295–300.

    Not in our library10.1158/2326-6066.cir-14-0015

  274. 274.
  275. 275.
  276. 276.

    Doloff JC Waxman DJ Jounaidi Y. Human telomerase reverse transcriptase promoter-driven oncolytic adenovirus with E1B-19 kDa and E1B-55 kDa gene deletions. Hum Gene Ther (2008 ) 19:1383–99.

    Not in our library10.1089/hum.2008.056

  277. 277.

    Nishimoto T Yoshida K Miura Y Kobayashi A Hara H Ohnami S Oncolytic virus therapy for pancreatic cancer using the adenovirus library displaying random peptides on the fiber knob. Gene Ther (2009 ) 16:669–80.

    Not in our library10.1038/gt.2009.1

  278. 278.

    Conner J Braidwood L Brown SM. A strategy for systemic delivery of the oncolytic herpes virus HSV1716: redirected tropism by antibody-binding sites incorporated on the virion surface as a glycoprotein D fusion protein. Gene Ther (2008 ) 15:1579–92.

    Not in our library10.1038/gt.2008.121

  279. 279.

    Lichty BD Breitbach CJ Stojdl DF Bell JC. Going viral with cancer immunotherapy. Nat Rev Cancer (2014 ) 14:559–67.

    Not in our library10.1038/nrc3770

  280. 280.

    Sobol PT Boudreau JE Stephenson K Wan Y Lichty BD Mossman KL. Adaptive antiviral immunity is a determinant of the therapeutic success of oncolytic virotherapy. Mol Ther (2011 ) 19:335–44.

    Not in our library10.1038/mt.2010.264

  281. 281.

    Janeway CA Medzhitov R. Innate immune recognition. Annu Rev Immunol (2002 ) 20:197–216.

    Not in our library10.1146/annurev.immunol.20.083001.084359

  282. 282.

    Rahal A Musher B. Oncolytic viral therapy for pancreatic cancer. J Surg Oncol (2017 ) 116:94–103.

    Not in our library10.1002/jso.24626

  283. 283.

    Mahalingam D Goel S Aparo S Patel Arora S Noronha N Tran H A phase II study of pelareorep (REOLYSIN®) in combination with gemcitabine for patients with advanced pancreatic adenocarcinoma. Cancers (2018 ) 10:160.

    Not in our library10.3390/cancers10060160

  284. 284.

    Gujar S Pol JG Kim Y Lee PW Kroemer G Antitumor benefits of antiviral immunity: an underappreciated aspect of oncolytic virotherapies. Trends Immunol (2018 ) 39(3):209–21.

    Not in our library10.1016/j.it.2017.11.006

  285. 285.

    Lutz ER Kinkead H Jaffee EM Zheng L. Priming the pancreatic cancer tumor microenvironment for checkpoint-inhibitor immunotherapy. Oncoimmunology (2014 ) 3:e962401.

    Not in our library10.4161/21624011.2014.962401

  286. 286.

    Bourgeois-Daigneault M-C Roy D Aitken A El Sayes N Martin N Varrette O Neo-adjuvant oncolytic virotherapy prior to surgery sensitizes triple-negative breast cancer to immune checkpoint therapy. Sci Transl Med (2018 ) 10:1–12.

    Not in our library10.1126/scitranslmed.aao1641

  287. 287.

    Lee P Gujar S. Potentiating prostate cancer immunotherapy with oncolytic viruses. Nat Rev Urol (2018 ) 15:235–50.

    Not in our library10.1038/nrurol.2018.10

  288. 288.

    Samson A Scott KJ Taggart D West EJ Wilson E Nuovo GJ Intravenous delivery of oncolytic reovirus to brain tumor patients immunologically primes for subsequent checkpoint blockade. Sci Transl Med (2018 ) 10.

    Not in our library10.1126/scitranslmed.aam7577

  289. 289.

    Blair AB Zheng L. Rational combinations of immunotherapy for pancreatic ductal adenocarcinoma. Chin Clin Oncol (2017 ) 6:31–31.

    Not in our library10.21037/cco.2017.06.04

  290. 290.

    Skelton RA Javed A Zheng L He J. Overcoming the resistance of pancreatic cancer to immune checkpoint inhibitors. J Surg Oncol (2017 ) 116:55–62.

    Not in our library10.1002/jso.24642

  291. 291.

    Jaffee EM Hruban RH Canto M Kern SE Focus on pancreas cancer. Cancer Cell (2002 ) 2:25–8.

    Not in our library10.1016/s1535-6108(02)00093-4

  292. 292.

    Melero I Gaudernack G Gerritsen W Huber C Parmiani G Scholl S Therapeutic vaccines for cancer: an overview of clinical trials. Nat Rev Clin Oncol (2014 ) 11:509–24.

    Not in our library10.1038/nrclinonc.2014.111

  293. 293.

    Le DT Lutz E Uram JN Sugar EA Onners B Solt S Evaluation of ipilimumab in combination with allogeneic pancreatic tumor cells transfected with a GM-CSF gene in previously treated pancreatic cancer. J Immunother (2013 ) 36:382–9.

    Not in our library10.1097/cji.0b013e31829fb7a2

  294. 294.

    Le DT Wang-Gillam A Picozzi V Greten TF Crocenzi T Springett G Safety and survival with GVAX pancreas prime and Listeria monocytogenes-expressing mesothelin (CRS-207) boost vaccines for metastatic pancreatic cancer. J Clin Oncol (2015 ) 33:1325–33.

    Not in our library10.1200/jco.2014.57.4244

  295. 295.
  296. 296.
  297. 297.
    Engineering CAR-T cells · 2017
    No notice
  298. 298.

    Dotti G Gottschalk S Savoldo B Brenner MK. Design and development of therapies using chimeric antigen receptor-expressing T cells. Immunol Rev (2014 ) 257:107–26.

    Not in our library10.1111/imr.12131

  299. 299.

    Kenderian SS Ruella M Gill S Kalos M. Chimeric antigen receptor T-cell therapy to target hematologic malignancies. Cancer Res (2014 ) 74:6383–9.

    Not in our library10.1158/0008-5472.can-14-1530

  300. 300.
  301. 301.
  302. 302.

    DeSelm CJ Tano ZE Varghese AM Adusumilli PS. CAR T-cell therapy for pancreatic cancer. J Surg Oncol (2017 ) 116:63–74.

    Not in our library10.1002/jso.24627

  303. 303.

    Bauer C Kühnemuth B Duewell P Ormanns S Gress T Schnurr M. Prevailing over T cell exhaustion: new developments in the immunotherapy of pancreatic cancer. Cancer Lett (2016 ) 381:259–68.

    Not in our library10.1016/j.canlet.2016.02.057

  304. 304.

    Cherkassky L Morello A Villena-Vargas J Feng Y Dimitrov DS Jones DR Human CAR T cells with cell-intrinsic PD-1 checkpoint blockade resist tumor-mediated inhibition. J Clin Invest (2016 ) 126:3130–44.

    Not in our library10.1172/jci83092

  305. 305.

    Moon EK Wang L-CS Dolfi DV Wilson CB Ranganathan R Sun J Multifactorial T cell hypofunction that is reversible can limit the efficacy of chimeric antibody receptor-transduced human T cells in solid tumors. Clin Cancer Res (2014 ) 20:4262–73.

    Not in our library10.1158/1078-0432.ccr-13-2627

  306. 306.

    John LB Devaud C Duong CPM Yong CS Beavis PA Haynes NM Anti-PD-1 antibody therapy potently enhances the eradication of established tumors by gene-modified T cells. Clin Cancer Res (2013 ) 19:5636–46.

    Not in our library10.1158/1078-0432.ccr-13-0458

  307. 307.
  308. 308.

    Li S Siriwon N Zhang X Yang S Jin T He F Enhanced cancer immunotherapy by chimeric antigen receptor-modified T cells engineered to secrete checkpoint inhibitors. Clin Cancer Res (2017 ) 23:6982–92.

    Not in our library10.1158/1078-0432.ccr-17-0867

  309. 309.
  310. 310.

    Rosenberg SA Yang JC Sherry RM Kammula US Hughes MS Phan GQ Durable complete responses in heavily pretreated patients with metastatic melanoma using T-cell transfer immunotherapy. Clin Cancer Res (2011 ) 17:4550–7.

    Not in our library10.1158/1078-0432.ccr-11-0116

  311. 311.

    Rusakiewicz S Semeraro M Sarabi M Desbois M Locher C Mendez R Immune infiltrates are prognostic factors in localized gastrointestinal stromal tumors. Cancer Res (2013 ) 73:3499–510.

    Not in our library10.1158/0008-5472.can-13-0371

  312. 312.

    Fukunaga A Miyamoto M Cho Y Murakami S Kawarada Y Oshikiri T CD8+ tumor-infiltrating lymphocytes together with CD4+ tumor-infiltrating lymphocytes and dendritic cells improve the prognosis of patients with pancreatic adenocarcinoma. Pancreas (2004 ) 28:e26–31.

    Not in our library10.1097/00006676-200401000-00023

  313. 313.

    Sideras K Braat H Kwekkeboom J van Eijck CH Peppelenbosch MP Sleijfer S Role of the immune system in pancreatic cancer progression and immune modulating treatment strategies. Cancer Treat Rev (2014 ) 40:513–22.

    Not in our library10.1016/j.ctrv.2013.11.005

  314. 314.

    Poschke I Faryna M Bergmann F Flossdorf M Lauenstein C Hermes J Identification of a tumor-reactive T-cell repertoire in the immune infiltrate of patients with resectable pancreatic ductal adenocarcinoma. Oncoimmunology (2016 ) 5:e1240859.

    Not in our library10.1080/2162402x.2016.1240859

  315. 315.

    Mullinax JE Hall M Prabhakaran S Weber J Khushalani N Eroglu Z Combination of ipilimumab and adoptive cell therapy with tumor-infiltrating lymphocytes for patients with metastatic melanoma. Front Oncol (2018 ) 8:44.

    Not in our library10.3389/fonc.2018.00044

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