No retraction, correction or concern found when last checked on Oct 17, 2026.
Mechanisms and insights into drug resistance in cancer
Hiba Zahreddine, Katherine L. B. Borden
Frontiers in Pharmacology · 2013
Abstract
Cancer drug resistance continues to be a major impediment in medical oncology. Clinically, resistance can arise prior to or as a result of cancer therapy. In this review, we discuss different mechanisms adapted by cancerous cells to resist treatment, including alteration in drug transport and metabolism, mutation and amplification of drug targets, as well as genetic rewiring which can lead to impaired apoptosis. Tumor heterogeneity may also contribute to resistance, where small subpopulations of cells may acquire or stochastically already possess some of the features enabling them to emerge under selective drug pressure. Making the problem even more challenging, some of these resistance pathways lead to multidrug resistance, generating an even more difficult clinical problem to overcome. We provide examples of these mechanisms and some insights into how understanding these processes can influence the next generation of cancer therapies.
Full text
From PubMed Central, U.S. National Library of Medicine, as current on Oct 17, 2026. Paragraph numbers are ours, so an answer can point at one.
CANCER TALE: ITS TREATMENT AND RELAPSE
In 1961, Frei and Freireich initiated the high-dose four-drug combination clinical trial for the treatment of pediatric leukemia. Despite the threat imposed by administering four drugs at once, few weeks following treatment onset, children began to respond, “the bone marrow biopsies came back one after another—all without leukemia cells. Red blood cells and white blood cells and platelets sprouted up in an otherwise scorched field of bone marrow. But the leukemia did not return”. Out of the 16 enrolled patients, 11 showed complete remission. This outstanding success, however, was short-lived. With the exception of a handful of children, all patients eventually relapsed, developing a more vigorous form of cancer that was no longer responsive to the treatment: leukemic cells had invaded the blood–brain barrier and colonized the brain “the only place unreachable by chemotherapy....the children died one after the other-felled by virtue of the adaptation designed to protect them… it was a consequence of the body’s defense system subverting cancer treatment”. To date, this story still reflects the same tale of cancer treatment where its resistance and relapse remains a major challenge. In this review we provide an overview of advances made in our understanding of the mechanisms that enable cancerous cells to adapt to and eventually overcome therapy, and how identifying these mechanisms can help circumvent resistance and improve treatment.
Despite its complex biological nature, many recent successes have been made in the treatment of cancer, including most strikingly chronic myeloid leukemia (CML) and acute promyelocytic leukemia (APL) which have met with great success as well as many cases of pediatric leukemias, Hodgkin’s lymphomas, and testicular cancers. These success stories mainly relied on an increased understanding of the diverse molecular mechanisms governing tumor development. Owing to this, various anti-cancer therapies were designed to target disease-specific mechanisms that are absent in normal cells. Such strategies include (i) inhibition of a specific oncoprotein, such as targeting the oncogenic fusion proteins Bcr–Abl and PML–RARA with Gleevec and all trans retinoic acid (ATRA) with arsenic trioxide respectively or (ii) activation of a specific immune response against cancerous cells demonstrated by the use of interferon alpha alone or in combination with other anti-cancer drugs including 5-fluorouracil and cytarabine. Many of these drugs are currently being used in the clinic and have established positive impact on patient survival. However, a major impediment to their success is the development of therapeutic resistance which in some cases predates clinical intervention. Based on tumor response to the initial therapy, cancer resistance can be broadly classified into two categories, primary and acquired. While primary drug resistance exists prior to any given treatment, acquired resistance occurs after initial therapy. Unfortunately, the majority of patients will likely develop resistance at a certain point of treatment. For example, 50–70% of patients with adenocarcinoma relapse following surgery with a chemoresistant phenotype, and approximately 20% of adults with acute lymphoblastic leukemia suffer from primary resistance to treatment. In addition, primary resistance has been recognized in nearly 50% of all cancer patients in the 1990s. Therefore, the design of anti-cancer drugs that are fully effective necessitates a better understanding of the mechanisms by which cancer cells elude treatment. Here we will discuss several features of drug resistant cells including modification of drug transport, mutation of extracellular receptors, amplification and mutation of drug targets as well as related topics. Additionally, we will briefly address the important question of how resistant cell populations emerge.
MECHANISMS OF DRUG RESISTANCE
Both primary and acquired resistance can be caused by alterations to drug metabolism (sequestrations or enhanced detoxification) or modifications to the drug targets. A brief overview of these mechanisms supported with examples of clinical relevance are presented below (Figure 1).
Perhaps the most studied mode of resistance involves drug metabolism, including its uptake, efflux, and detoxification. The means by which drugs enter cells depend on their chemical nature, and it mainly necessitates the use of receptors, which they bind to and transmit their effects without cellular entry, or transporters, which allow their cellular entry. At this level, resistance can result from mutations that modify activity or reduce the expression of surface receptors and transporters. For instance, mutations or reduced expression of the extracellular receptor smoothened, nucleoside transporters or one or both folate transporters result in defective uptake of cyclopamine, nucleoside drugs, such as cytarabine, and toxic folate analogs, such as methotrexate, respectively. On the other hand, enhanced drug efflux is frequently caused by increased expression of ATP binding cassette (ABC) membrane transporters. Among the 48 known ABC transporters in humans, elevation of three members, P-gp (MDR1 gene product), Multidrug resistance-associated protein 1 (MRP1) and mitoxantrone resistance protein [MXR; also known as breast cancer resistance protein (BCRP) or placenta ABC protein (ABC-P)], have been correlated with cancer chemoresistance to various drugs. For instance, P-gp transports a wide variety of hydrophobic anti-cancer drugs such as vinblastine, doxorubicin, vincristine, and taxol, and therefore its increased expression has been correlated with resistance to these. MRP1 on the other hand, transports negatively charged natural-product drugs in addition to drugs that have been modified by the conjugation of glutathione (GSH), glucuronic acid or sulfate; while, MXR overexpression has been correlated with resistance to topoisomerase I inhibitors, anthracyclines, and mitoxantrone. As can be seen, these factors comprise a major site for the development of drug resistance.
To exert their cytotoxic effects, many anti-cancer drugs must undergo metabolic activation. For instance, cytarabine (also known as AraC), a nucleoside drug widely used for the treatment of acute myelogenous leukemia, necessitates initial phosphorylation by deoxycytidine kinase to cytarabine-monophosphate which is subsequently phosphorylated to the active form cytarabine triphosphate. To circumvent the effects of these drugs, cancer cells develop resistance through decreased drug activation. This occurs via the downregulation or mutation of enzymes involved in this metabolic pathway, such as deoxycytidine kinase in the case of cytarabine. Drug inactivation can also play a major role in the development of resistance. These mechanisms include, for example, conjugation of the drug to GSH, a powerful anti-oxidant that protects the cells against the damaging effects of reactive oxygen species. GSH conjugation to platinum drugs, such as oxaliplatin and cisplatin used in the treatment of various types of cancers, renders them substrates for ABC transporters which enhances drug efflux. Furthermore, the topoisomerase I inhibitor, irinotecan, used for treating colon cancer, have been shown to become inactivated via phase I drug metabolizing enzymes, CYP450. Finally, binding of platinum drugs, particularly cisplatin, to metallothionein (MT), a small cysteine-rich protein, is another means of drug inactivation.
Many cancer cells develop an overreliance or dependency on an oncogene. This is referred to as oncogene addiction. Targeting such oncogenes, provided a basis for the development of targeted therapies. Examples of such targeted therapies include: (i) imatinib targeting BCR/ABL tyrosine kinase in CML, (ii) gefitinib and erlotinib targeting the epidermal growth factor receptor (EGFR) tyrosine kinase domain in non-small cell lung carcinoma, and (iii) trastuzumab targeting human epidermal growth factor receptor-2 (HER-2) receptor in breast carcinomas. Unfortunately, the long term effectiveness of these drugs is hindered by the development of drug resistance due to mutation of the targeted protein. In the case of BCR/ABL and EGFR inhibitors, resistance emerges as a result of mutations occurring at the gatekeeper residues of the kinase domain which disables drug binding. Furthermore, it has been demonstrated that resistance mutations can be detected prior to treatment in small subpopulations of tumor cells suggesting that these mutant forms were selected via the targeted therapy used. In essence, understanding how mutations in the target proteins confer resistance enables the development of new therapeutic approaches to surmount resistance. For instance, second generation CML inhibitors have been developed based on mutational studies of patients who have become Gleevec resistant.
Other mechanisms by which cancerous cells circumvent the effects of targeted inhibitors have also been described, including amplification of alternative oncogenes or inactivation of alternative survival pathways. In some cases, targeting of one protein alone (that cells are showing dependency on) can become ineffective because another parallel pathway supports tumor survival. In this case, the two pathways develop a synthetic lethal relationship. This way, the loss/inactivation of one of these genes would be supported by the other pathway and for the most effective treatment, one would need to target both pathways.
An example of new pathways emerging once another pathway is targeted comes from the work of, showed that acquired resistance to phosphatidylinositol 3-kinase (PI3K) inhibitors (such as ZSTK474) was due to the upregulation of insulin-like growth factor 1 receptor (IGF1R) pathway and that inhibition of this pathway with selective IGF1R inhibitors reverses the acquired PI3Ki resistance phenotype. Additionally, resistance could result from evasion of apoptotic pathways triggered by the acquisition of either inactivating mutations in genes coding for apoptotic proteins, such as p53, or activating mutations in genes coding for anti-apoptotic proteins, such as B cell lymphoma 2 (Bcl-2; ). Indeed p53 mutations have been correlated with de novo resistance to doxorubicin treatment in patients with advanced breast cancer, as well as resistance to anthracyclines in a mouse sarcoma tumor model.
Another excellent example of this phenomenon (i.e., synthetic lethality) is seen in breast and ovarian cancers carrying mutations in the BRCA1 and BRCA2 genes, important mediators of DNA double-strand break (DSB) repair. When the poly (ADP-ribose) polymerase (PARP) protein, which is involved in different cellular processes including DNA repair, was targeted in these tumors, selective cancer cell toxicity was achieved. Several PARP inhibitors (PARPi) are currently being tested in clinical trials, such as iniparib (phase III ongoing; ) and veliparib cancer, among others. However, despite the promising results these inhibitors showed, whether used as a mono- or combinatorial therapy, cancer cells once again were capable of evolving resistance to PARPi in preclinical and clinical settings. The mechanisms of resistance to these inhibitors have been grouped in to at least four categories, as summarized recently. But perhaps the most distinct of these, was the ability of cancer cells to revert sensitivity to PARPi by acquiring deletion of the mutation in BRCA gene, thus restoring its function and the subsequent repair of DSBs.
DEVELOPMENT OF CROSS RESISTANCE
An important feature of drug resistance, is that development of resistance to one drug can lead to resistance to other drugs. For instance, loss of a drug transporter can lead to resistance to structurally diverse compounds that utilize it or elevation of ABC transporters resulting from one therapy will influence the efficacy of many other compounds. Since this multidrug resistance phenotype correlates with poor chemotherapy response, drug development strategies to overcome this problem are being designed. These include drugs that are not recognized by transporters and therefore evade efflux, efflux inhibitors, drugs that are selectively lethal to P-gp expressing cells, etc.. But, perhaps resistance is not useless after all, as proposed. The alternative strategy to treat the progeny of the drug imposed Darwinian selection process is to identify their new “Achilles’ heel,” where resistance to the first given drug conferred a hypersensitivity to an alternate cytotoxic agent to which parental cells were not sensitive to. A phenomenon referred to as “collateral sensitivity”, which could be considered as a type of synthetic lethality as well since the same genetic alteration that rendered the cells resistant to one drug now sensitizes them to another.
WHERE DO RESISTANT CELLS COME FROM?
The development of human cancers is a complex multistage process involving accumulation of both genetic and epigenetic alterations over time. As a consequence, a single tumor is comprised of heterogeneous populations of cells with distinct genetic fingerprints. As the tumor progresses, some cells undergo genetic alterations, with selection of those having a superior growth advantage in a given context. An excellent example of tumor heterogeneity is provided by breast cancer studies. demonstrated that about 97% of epithelial breast carcinomas possess high levels of intra-tumor diverseness. The relevance of this innate heterogeneity is seen in cancer resistance. Since cancer cell selection obeys the Darwinian law of evolution, hence, under therapeutic pressure, those populations that are most adaptive or resistant to treatment will be selected for. These clones will then dominate and populate the tumor rendering it highly resistant to the given therapy. The selection process can be rationalized by, at least, two mechanisms. First, the emergence of a dominant cellular population after drug selection since it possesses some favorable characteristics such as a mutated drug binding site. The second mechanism involves the acquisition of stochastic alterations within the cancer cells which provide a survival advantage. The advantage itself, e.g., a mutation in a drug binding site or alteration in drug transporters (as just two examples) could be the same for either of these mechanisms. What is different is the underlying process to generate these biochemical differences.
Two known models, the cancer stem cell (CSC) model, and the environment-mediated drug resistance (EMDR) model, which are not mutually exclusive, could explain the origin of resistant cells. In the CSC model, rare populations of cancer stem cells possess tumor-initiating properties. It is thought that CSCs diverge from normal tissue stem cells or from more-differentiated progenitor cells through dysregulation of self-renewal pathways. Beside modulation of molecular mechanisms, such as increased efficiency of DNA repair, changes in cell cycle parameters, overexpression of anti-apoptotic proteins or drug transporters, etc., resistance of CSCs could be due to their quiescent nature. Thus, in this case, the cell population is present and is difficult to target using traditional chemotherapy strategies many of which depend on active cell cycling.
In the EMDR model, resistance emerges as the cancer cells use their interactions with the surrounding microenvironment to enter into a quiescent or dormant state as a means of circumventing the effects of the given therapy. Under the drug imposed selection pressure, these cells remain in their protective shelter, undergoing genetic changes until they ultimately reach a more permanent acquired resistance phenotype and in turn, alter their surrounding microenvironment. These surviving populations, which may or may not be CSCs, can contribute to minimal residual disease (MRD) and cancer relapse. The EMDR model is relevant to both hematopoietic and metastatic epithelial malignancies. EMDR could be mediated by either soluble or cell adhesion-related microenvironmental factors. Soluble factor-mediated drug resistance occurs through induction of gene transcription within the tumor cells by cytokines, chemokines, or growth factors secreted by neighboring stroma-like fibroblasts. One of the known mediators of this resistance mechanism is interleukin-6 (IL-6), whose increased secretion has been correlated with resistance to various cytotoxins both in in vitro and in vivo models. This includes, for instance, resistance to bortezomib in multiple myeloma and to etoposide and cisplatin in hormone-independent prostate carcinomas. Further, cell adhesion-mediated drug resistance is triggered by the adhesion of integrins from tumor cells to stromal fibroblasts or to components of the surrounding extracellular matrix. Molecularly, this process could be due to many scenarios including (i) degradation of apoptotic proteins or (ii) enhanced stability or altered subcellular distribution of anti-apoptotic proteins and cell cycle regulators. One example is provided by studies into melphalan resistance. In this case, the cancerous cells tend to use their adhesion to fibronectin in the surrounding microenvironment to reduce the endogenous levels of the proapoptotic BH3-only Bcl-2 family member, Bim1, thus conferring resistance by disabling apoptosis. From a clinical point of view, it is thought that combining current therapies with inhibitors of EMDR pathways could enhance the effectiveness of the treatment. A proof-of-principle example was demonstrated by the combination of melphalan, a DNA alkylating agent used in the treatment of multiple myeloma and ovarian carcinomas, with an anti-integrin α-4 antibody (natalizumab) which significantly inhibited myeloma growth and reduced tumor burden in patients.
CONCLUSION
Resistance to drugs continues to be a major problem in oncology affecting the majority of cancer patients. Here we provide many examples of how cells become resistant to various drugs including alteration in drug metabolism, modification of drug targets, and genetic rewiring of cells to bypass targeted pathways. A better understanding of oncogene networks and oncogene cooperativity will likely improve therapeutic strategies by identifying optimal combinations based on the genetic lesions in the tumors. Importantly, tumors are highly heterogenous and this heterogeneity may well substantially contribute to primary or acquired resistance. Armed with a greater understanding of the mechanisms of drug resistance will undoubtedly lead to more long term remissions and hopefully cures.
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 149
- 1.
Aas T. Borresen A. L. Geisler S. Smith-Sorensen B. Johnsen H. Varhaug J. E. (1996 ). Specific P53 mutations are associated with de novo resistance to doxorubicin in breast cancer patients. Nat. Med. 2 811–814
Not in our library10.1038/nm0796-811
- 2.
Apperley J. F. (2007 ). Part I: mechanisms of resistance to imatinib in chronic myeloid leukaemia. Lancet Oncol. 8 1018–1029
Not in our library10.1016/s1470-2045(07)70342-x
- 3.
Arber N. Doki Y. Han E. K. Sgambato A. Zhou P. Kim N. H.. (1997 ). Antisense to cyclin D1 inhibits the growth and tumorigenicity of human colon cancer cells. Cancer Res. 57 1569–1574
Not in our library
- 4.
Atwood S. X. Chang A. L. Oro A. E. (2012 ). Hedgehog pathway inhibition and the race against tumor evolution. J. Cell Biol. 199 193–197
Not in our library10.1083/jcb.201207140
- 5.
Balak M. N. Gong Y. Riely G. J. Somwar R. Li A. R. Zakowski M. F. (2006 ). Novel D761Y and common secondary T790M mutations in epidermal growth factor receptor-mutant lung adenocarcinomas with acquired resistance to kinase inhibitors. Clin. Cancer Res. 12 6494–6501
Not in our library10.1158/1078-0432.ccr-06-1570
- 6.
Bardenheuer W. Lehmberg K. Rattmann I. Brueckner A. Schneider A. Sorg U. R. (2005 ). Resistance to cytarabine and gemcitabine and in vitro selection of transduced cells after retroviral expression of cytidine deaminase in human hematopoietic progenitor cells. Leukemia 19 2281–2288
Not in our library10.1038/sj.leu.2403977
- 7.
Bean J. Riely G. J. Balak M. Marks J. L. Ladanyi M. Miller V. A. (2008 ). Acquired resistance to epidermal growth factor receptor kinase inhibitors associated with a novel T854A mutation in a patient with EGFR-mutant lung adenocarcinoma. Clin. Cancer Res. 14 7519–7525
Not in our library10.1158/1078-0432.ccr-08-0151
- 8.
Bidard F. C. Vincent-Salomon A. Gomme S. Nos C. De Rycke Y. Thiery J. P. (2008 ). Disseminated tumor cells of breast cancer patients: a strong prognostic factor for distant and local relapse. Clin. Cancer Res. 14 3306–3311
Not in our library10.1158/1078-0432.ccr-07-4749
- 9.
Blencke S. Ullrich A. Daub H. (2003 ). Mutation of threonine 766 in the epidermal growth factor receptor reveals a hotspot for resistance formation against selective tyrosine kinase inhibitors. J. Biol. Chem. 278 15435–15440
Not in our library10.1074/jbc.m211158200
- 10.
Borsellino N. Belldegrun A. Bonavida B. (1995 ). Endogenous interleukin 6 is a resistance factor for cis-diamminedichloroplatinum and etoposide-mediated cytotoxicity of human prostate carcinoma cell lines. Cancer Res. 55 4633–4639
Not in our library
- 11.
Borsellino N. Bonavida B. Ciliberto G. Toniatti C. Travali S D’Alessandro N. (1999 ). Blocking signaling through the Gp130 receptor chain by interleukin-6 and oncostatin M inhibits PC-3 cell growth and sensitizes the tumor cells to etoposide and cisplatin-mediated cytotoxicity. Cancer 85 134–144
Not in our library
- 12.
Borst P. Evers R. Kool M. Wijnholds J. (2000 ). A family of drug transporters: the multidrug resistance-associated proteins. J. Natl. Cancer Inst. 92 1295–1302
Not in our library10.1093/jnci/92.16.1295
- 13.
Braun S. Kentenich C. Janni W. Hepp F. De Waal J. Willgeroth F. (2000 ). Lack of effect of adjuvant chemotherapy on the elimination of single dormant tumor cells in bone marrow of high-risk breast cancer patients. J. Clin. Oncol. 18 80–86
Not in our library10.1200/jco.2000.18.1.80
- 14.
Breivik J. (2005 ). The evolutionary origin of genetic instability in cancer development. Semin. Cancer Biol. 15 51–60
Not in our library10.1016/j.semcancer.2004.09.008
- 15.
Bryant H. E. Schultz N. Thomas H. D. Parker K. M. Flower D. Lopez E. (2005 ). Specific killing of BRCA2-deficient tumours with inhibitors of poly(ADP-ribose) polymerase. Nature 434 913–917
Not in our library10.1038/nature03443
- 16.
Cai J. Weiss M. L. Rao M. S. (2004 ). In search of “stemness”. Exp. Hematol. 32 585–598
Not in our library10.1016/j.exphem.2004.03.013
- 17.
Campbell P. J. Stephens P. J. Pleasance E. D. O’Meara S. Li H. Santarius T. (2008 ). Identification of somatically acquired rearrangements in cancer using genome-wide massively parallel paired-end sequencing. Nat. Genet. 40 722–729
Not in our library10.1038/ng.128
- 18.
- 19.
Caulin A. F. Maley C. C. (2011 ). Peto’s Paradox: evolution’s prescription for cancer prevention. Trends Ecol. Evol. 26 175–182
Not in our library10.1016/j.tree.2011.01.002
- 20.
Chiarugi A. (2012 ). A snapshot of chemoresistance to PARP inhibitors. Trends Pharmacol. Sci. 33 42–48
Not in our library10.1016/j.tips.2011.10.001
- 21.
Chin L. Gray J. W. (2008 ). Translating insights from the cancer genome into clinical practice. Nature 452 553–563
Not in our library10.1038/nature06914
- 22.
- 23.
Crespi B. Summers K. (2005 ). Evolutionary biology of cancer. Trends Ecol. Evol. 20 545–552
Not in our library10.1016/j.tree.2005.07.007
- 24.
Croix B. S. Rak J. W. Kapitain S. Sheehan C. Graham C. H. Kerbel R. S. (1996 ). Reversal by hyaluronidase of adhesion-dependent multicellular drug resistance in mammary carcinoma cells. J. Natl. Cancer Inst. 88 1285–1296
Not in our library10.1093/jnci/88.18.1285
- 25.
Damaraju V. L. Damaraju S. Young J. D. Baldwin S. A. Mackey J. Sawyer M. B. (2003 ). Nucleoside anticancer drugs: the role of nucleoside transporters in resistance to cancer chemotherapy. Oncogene 22 7524–7536
Not in our library10.1038/sj.onc.1206952
- 26.
Druker B. J. Talpaz M. Resta D. J. Peng B. Buchdunger E. Ford J. M. (2001 ). Efficacy and safety of a specific inhibitor of the BCR–ABL tyrosine kinase in chronic myeloid leukemia. N. Engl. J. Med. 344 1031–1037
Not in our library10.1056/nejm200104053441401
- 27.
Engelhardt B. Kappos L. (2008 ). Natalizumab: targeting alpha4-integrins in multiple sclerosis. Neurodegener. Dis. 5 16–22
Not in our library10.1159/000109933
- 28.
Engelman J. A. Zejnullahu K. Mitsudomi T. Song Y. Hyland C. Park J. O. (2007 ). MET amplification leads to gefitinib resistance in lung cancer by activating ERBB3 signaling. Science 316 1039–1043
Not in our library10.1126/science.1141478
- 29.
Farmer H. Mccabe N. Lord C. J. Tutt A. N. Johnson D. A. Richardson T. B. (2005 ). Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy. Nature 434 917–921
Not in our library10.1038/nature03445
- 30.
Ferrantini M. Capone I. Belardelli F. (2007 ). Interferon-alpha and cancer: mechanisms of action and new perspectives of clinical use. Biochimie 89 884–893
Not in our library10.1016/j.biochi.2007.04.006
- 31.
Frassanito M. A. Cusmai A. Iodice G. Dammacco F. (2001 ). Autocrine interleukin-6 production and highly malignant multiple myeloma: relation with resistance to drug-induced apoptosis. Blood 97 483–489
Not in our library10.1182/blood.v97.2.483
- 32.
Frei E. III, Karon M. Levin R. H. Freireich E. J. Taylor R. J. Hananian J. (1965 ). The effectiveness of combinations of antileukemic agents in inducing and maintaining remission in children with acute leukemia. Blood 26 642–656
Not in our library
- 33.
Galmarini C. M. Mackey J. R. Dumontet C. (2001 ). Nucleoside analogues: mechanisms of drug resistance and reversal strategies. Leukemia 15 875–890
Not in our library10.1038/sj.leu.2402114
- 34.
Gatti L. Zunino F. (2005 ). Overview of tumor cell chemoresistance mechanisms. Methods Mol. Med. 111 127–148
Not in our library10.1385/1-59259-889-7:127
- 35.
Gioeli D. (2011 ). Targeted Therapies Mechanisms of Resistance. New York: Humana Press
Not in our library
- 36.
Giona F. Testi A. M. Annino L. Amadori S. Arcese W. Camera A. (1994 ). Treatment of primary refractory and relapsed acute lymphoblastic leukaemia in children and adults: the GIMEMA/AIEOP experience. Gruppo Italiano Malattie Ematologiche Maligne dell’Adulto. Associazione Italiana Ematologia ed Ocologia Pediatrica. Br. J. Haematol. 86 55–61
Not in our library10.1111/j.1365-2141.1994.tb03252.x
- 37.
Goldman J. M. Melo J. V. (2003 ). Chronic myeloid leukemia – advances in biology and new approaches to treatment. N. Engl. J. Med. 349 1451–1464
Not in our library10.1056/nejmra020777
- 38.
Gorre M. E. Mohammed M. Ellwood K. Hsu N. Paquette R. Rao P. N. (2001 ). Clinical resistance to STI-571 cancer therapy caused by BCR–ABL gene mutation or amplification. Science 293 876–880
Not in our library10.1126/science.1062538
- 39.
Gottesman M. M. (2002 ). Mechanisms of cancer drug resistance. Annu. Rev. Med. 53 615–627
Not in our library10.1146/annurev.med.53.082901.103929
- 40.
Gottesman M. M. Fojo T. Bates S. E. (2002 ). Multidrug resistance in cancer: role of ATP-dependent transporters. Nat. Rev. Cancer 2 48–58
Not in our library10.1038/nrc706
Cited by papers we hold 16
- Unveiling the mechanisms and challenges of cancer drug resistance · 2024No notice
- Theranostic Fluorescent Probes · 2024No notice
- Multidrug Resistance in Cancer: Understanding Molecular Mechanisms, Immunoprevention and Therapeutic Approaches · 2022No notice
- Single-cell transcriptional changes associated with drug tolerance and response to combination therapies in cancer · 2021No notice
- Transforming Growth Factor-β Signaling in Fibrotic Diseases and Cancer-Associated Fibroblasts · 2020No notice
- Targeting Molecular Mechanisms Underlying Treatment Efficacy and Resistance in Osteosarcoma: A Review of Current and Future Strategies · 2020No notice
- Tumor-Associated Neutrophils in Cancer: Going Pro · 2019No notice
- Doxorubicin resistance in breast cancer cells is mediated by extracellular matrix proteins · 2018No notice
- Sensitization of Drug Resistant Cancer Cells: A Matter of Combination Therapy · 2018No notice
- The Different Mechanisms of Cancer Drug Resistance: A Brief Review · 2017No notice
- The Role of Tumor Microenvironment in Chemoresistance: To Survive, Keep Your Enemies Closer · 2017No notice
- High systemic IL-6 is associated with worse prognosis in patients with non-small cell lung cancer · 2017No notice
- Hypericin in the Light and in the Dark: Two Sides of the Same Coin · 2016No notice
- Drug Resistance in Cancer: An Overview · 2014No notice
- Advanced Cell Culture Techniques for Cancer Drug Discovery · 2014No notice
- TFPI1 mediates resistance to doxorubicin in breast cancer cells by inducing a hypoxic-like response. · 2014Not checked
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.