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Long Noncoding RNA and Epithelial Mesenchymal Transition in Cancer

Mila Gugnoni, Alessia Ciarrocchi

International Journal of Molecular Sciences · 2019 · Review · CC BY

doi:10.3390/ijms20081924

Abstract

Epithelial–mesenchymal transition (EMT) is a multistep process that allows epithelial cells to acquire mesenchymal properties. Fundamental in the early stages of embryonic development, this process is aberrantly activated in aggressive cancerous cells to gain motility and invasion capacity, thus promoting metastatic phenotypes. For this reason, EMT is a central topic in cancer research and its regulation by a plethora of mechanisms has been reported. Recently, genomic sequencing and functional genomic studies deepened our knowledge on the fundamental regulatory role of noncoding DNA. A large part of the genome is transcribed in an impressive number of noncoding RNAs. Among these, long noncoding RNAs (lncRNAs) have been reported to control several biological processes affecting gene expression at multiple levels from transcription to protein localization and stability. Up to now, more than 8000 lncRNAs were discovered as selectively expressed in cancer cells. Their elevated number and high expression specificity candidate these molecules as a valuable source of biomarkers and potential therapeutic targets. Rising evidence currently highlights a relevant function of lncRNAs on EMT regulation defining a new layer of involvement of these molecules in cancer biology. In this review we aim to summarize the findings on the role of lncRNAs on EMT regulation and to discuss their prospective potential value as biomarkers and therapeutic targets in cancer.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 27, 2026. Paragraph numbers are ours, so an answer can point at one.

1. Epithelial to Mesenchymal Transition

The epithelial to mesenchymal transition (EMT) is a multistep, plastic and reversible process that allows epithelial cells to acquire mesenchymal characteristics. Downregulation of cell-adhesion molecules like epithelial cadherins, occludins, claudins and cytokeratins, together with the coordinated upregulation of mesenchymal cadherins, vimentin and matrix metalloproteinases (MMPs), promote loss of cell–cell adhesion and apico-basal polarity and acquisition of invasive and migratory capacity. The trans-differentiation of epithelial cells is induced by many pleiotropic signals including growth factors (transforming growth factor beta TGFβ, epidermal growth factor EGF, vascular endothelial growth factor VEGF, fibroblast growth factor FGF). Among them, TGFβ is the major player orchestrating EMT, through SMAD-dependent (canonical) or independent (non-canonical) pathways. Activation of several intracellular signaling pathways (including mitogen-activated protein kinase MAPK, phosphoinositide 3-kinases PI3K, Hedgehog, Notch and wingless/integrated Wnt) promotes the expression of specific transcription factors (EMT-TFs), noncoding RNAs (ncRNAs), epigenetic and post-translational modificators that together orchestrate a deep gene expression reprogramming. EMT-TFs are a group of transcription factors among which SNAIL, SLUG, TWIST, zinc finger E-box-binding homeobox 1 and 2 (ZEB1, ZEB2) are well known to cooperate to a different extent in distinct cellular contexts to inhibit or induce the expression of a precise set of genes indispensable for EMT partial or complete execution.

EMT is fundamental during embryogenesis but, aberrantly reactivated, it plays a relevant role basically at any stage of cancer progression, from tumorigenesis to growth, invasion, metastasization and resistance to therapy. EMT is a transitory state and during cancer metastatic colonization, its reverse, the mesenchymal to epithelial transition (MET) is equally fundamental to complete colonization of distant sites, blocking migration to sustain proliferation. Erroneously, EMT and MET are often considered as stand-alone and mutually exclusive phenotypes. Instead, full EMT is rarely achieved and during this transition cells reside in a plethora of intermediate states that contribute to cancer heterogeneity.

This plasticity is granted by the capacity of cancer cells to modulate gene expression, transitioning from different states of partial EMT. For example, in well differentiated carcinomas, cells at the invasion front often migrate in groups instead of as single cell, a phenomenon called collective cell migration. In this state, cells acquire altered apico-basal polarity, extracellular matrix and invasion and motility capacity, but remain connected to each other by epithelial Cadherins and cell-cell junctions. EMT induction in cancer depends on complex, tissue-specific networks. Understanding all the aspects regulating this process could provide useful tools to counteract it in tumor cells, but also to gain molecular information to distinguish aggressive cells prone to form metastasis.

2. Noncoding RNAs Outbreak

The great effort made to understand organization and function of the human genome led to the surprising discovery that 70–90% of the DNA is transcribed but only 2% encodes for proteins.

Recently, thanks to improved sequencing technologies, we are reinterpreting our knowledge about noncoding DNA and its function, discovering that a large part of it is transcribed in noncoding RNAs (ncRNAs).

It is indeed clear that the human transcriptome consists of several types of ncRNAs which cover a plethora of functions. ncRNAs are commonly divided based on their length in long-noncoding RNAs (lncRNAs) which are longer than 200 bp, and small-ncRNAs, among which small inhibitory RNAs (siRNAs), small nuclear RNAs (snRNAs), small nucleolar RNAs (snoRNAs), piwi-interacting RNAs (piRNAs), which are shorter than 200 bp and play a variety of cellular functions.

3. lncRNAs

lncRNAs are longer than 200 bp and share common features with mRNAs, like exon-intron structure, transcription by RNA Polymerase II, post-transcriptional processing (5′ cap, polyadenylation and splicing), similar organization of the 3′UTR regions and secondary structures, sequence composition and thermodynamic parameters. On the contrary, lncRNAs conservation between species and their expression are usually lower compared to mRNAs. The number of lncRNAs is predicted to be from 3 to 100-fold higher than the number of mRNAs, and their localization can be nuclear, chromatin associated, but also cytoplasmic. Based on the position and direction of transcription relative to the nearest gene, lncRNAs are broadly divided in sense, antisense, bidirectional, intronic and long intergenic.

Since transcriptional regulatory elements such enhancers and promoters can be transcribed bi-directionally, it is possible that many lncRNAs are side products of the act of transcription and do not have specific functions. It has also been reported that some transcripts annotated as lncRNAs encode for small proteins. However, stability and function of these small peptides is questioned.

Thus, rigorous functional annotation of these molecules is required to fully understand whether and in which extent lncRNAs participate to cellular functions.

The biological relevance of lncRNAs must be experimentally determined case by case. Improvement of technical skills will be essential to study these molecules, since appropriate functional assays are still limited. Nevertheless, an increasing number of works underline how lncRNAs can have central roles in a great variety of both physiological and pathological processes, as cell differentiation, tumorigenesis, metastasization, immune response, aging and others.

lncRNAs have been reported to partake to gene regulation both in cis and in trans. Mature lncRNA transcripts can regulate the expression of nearby genes in cis or genes located far from their locus of origin in a sequence-specific manner, regulating chromatin structure and organization, directly binding promoters or enhancer regions, or facilitating the formation of complexes which support or inhibit active transcription. Hundreds of lncRNAs are now described as mediators of epigenetic silencing through the recruitment of complexes like Polycomb Repressive Complex 2 (PRC2). This complex is responsible for the trimethylation of lysine 27 on histone 3 (H3K27me3), a repressive modification which silence the transcription of the genic locus (Figure 1A). lncRNAs can also participate to RNA splicing, editing, localization, stabilization, translation and degradation (Figure 1D). Some lncRNAs help to position specific chromatin regions in subcellular structures as speckles and paraspeckles to facilitate the action of transcription and splicing factors (Figure 1C). Another common mechanism of gene regulation by lncRNAs is their action as competing endogenous RNAs (ceRNAs). ceRNAs are molecules able to bind principally complementary miRNA response elements (MREs) impeding the binding of miRNAs on interacting molecules in a stoichiometric manner. miRNAs bind on the 3′UTR of mRNAs inhibiting their translation. Many miRNA classes are described as oncosuppressors for exerting their inhibitory function on EMT-inducing transcription factors. Their action is counteracted by EMT-promoting lncRNAs which, functioning as ceRNAs, sequester miRNAs, inhibiting their function (Figure 1E).

Finally, lncRNAs can directly bind RNA-binding proteins (RBPs) and act like a guide to direct them to specific DNA loci or like a scaffold, to help the assembly of large complexes.

Given the variety of processes in which lncRNAs are involved, one of the most intriguing challenge nowadays is to understand their role as potential new biomarkers and drug targets.

4. lncRNAs and EMT

An increasing number of studies support the role of lncRNAs in the regulation of tumor progression and metastasization through the regulation of EMT. Although lncRNAs are usually divided in two categories in this field, the EMT promoters (pro-EMT) and the EMT-suppressors (anti-EMT), some of them have controversial functions in different type of tumors or different conditions, once more underlying the complexity and plasticity of tumor cells (Table 1).

5. Pro-EMT lncRNAs

TGFβ is one of the principal growth factors inducing a signaling cascade leading to EMT initiation. Its binding to TGFβ type I and type II serine-threonine kinase receptors provokes a change in the gene expression, inducing EMT-TFs but also a long list of lncRNAs. An increasing number of lncRNAs are described as regulators of TGFβ/SMAD signaling, among these, the Plasmacytoma variant translocation1 (PVT1). This lncRNA is transcribed from a genomic region frequently amplified in tumors that also comprise the c-MYC oncogene genomic locus. Its expression associates with metastasis and advanced stage and it acts favoring EMT and cell invasion and migration through several mechanisms, among which positively affecting SMAD2/3 phosphorylation and activation. Its overexpression was also reported to be associated to p21 downregulation, a major effector in p53-mediated cell cycle modulation, promoting EMT in pancreatic cancer cells.

A recently described lncRNA involved in TGFβ-mediated EMT in non-small cell lung cancer (NSCLC) is the small nucleolar RNA host gene 1 lncRNA (lnc-SNHG1). Its expression is higher in tumor cell lines than in non-cancer ones and it was positively correlated with invasiveness. On the other side, its expression negatively correlated with miR-497, which is known to suppress cell proliferation, migration and invasion. Sponging miR-497, lnc-SNHG1 also regulates the expression of the insulin-like growth factor 1 receptor (IGF1-R). In parallel, another study on invasive pituitary tumors, reported an upregulation of this lncRNA in tumor cells. lnc-SNHG1 promoted cell proliferation acting on cell cycle and inhibiting apoptosis. Its effect on cell migration and invasion is executed by the upregulation of EMT markers and by the binding to miR-302/372/373/520, known inhibitors of SMAD3 and Wnt/β-catenin signaling pathways.

lncRNA-activated by TGFβ (lncRNA-ATB) was found upregulated in many tumor cell types among which thyroid, breast, gastric, hepatocellular cancer and plays a role in their initial tissue invasion and late colonization. Some studies described that lncRNA-ATB acts as ceRNA for members of the miR-200 family members, which in turn are suppressors of ZEB1 and ZEB2 EMT-TFs, forming a positive feedback loop which further promotes the expression of TGFβ1 and TGFβ2. Moreover, lncRNA-ATB was found to bind Interleukin-11 (IL-11) mRNA, stabilizing it and promoting Signal transducer and activator of transcription 3 (STAT3) invading signaling. Recent works suggest that lncRNA-ATB functions as ceRNA also for miR-141-3p, a direct binder and inhibitor of ZEB1 and ZEB2, in breast and gastric cancer and that its expression correlates to trastuzumab resistance in HER2-positive breast cancer cells.

Several lncRNAs were described to interact miR-200 family, thus inhibiting their anti-EMT action, to induce ZEB1/2 upregulation in several types of cancer, one of these is the HOXA transcript induced by TGFβ (lncRNA-HIT). This lncRNA is transcribed from the homeobox (HOXA) family locus, and its expression was found particularly induced in a highly metastatic mammary cancer model. lncRNA-HIT depletion in these cells decreased cell migration, invasion, growth, and metastasis formation capacity and one of its major targets is E-cadherin (E-CAD). In vivo, lncRNA-HIT overexpression was more frequently detected in invasive than non-invasive breast carcinoma and associated with tumor progression.

Recently, lncRNA-HIT was also found in a complex with the cell cycle-controlling transcription factor E2F1, participating to the regulation of its target genes in a model of NSCLC, underlying that lncRNAs can have multiple and tissue-specific functions.

lncRNA-HIT is not the only lncRNA being transcribed from the HOXA family locus. The most studied are the antisense lncRNA HOXA11-AS and the near HOXA Distal Transcript Antisense RNA (HOTTIP). The first was originally described in cervical cancer as related to tumor progression, EMT induction and poor prognosis. Its pro-invasive role was then confirmed in breast cancer, hepatocellular carcinoma, NSCLC, where it was found as ceRNA for several anti-EMT miRNA families. HOTTIP was described by Wang and colleagues to modulate HOXA transcription in fibroblasts by targeting WDR5, a component of the mixed lineage leukemia (MLL) complex driving H3K4 trimethylation (Figure 1A). A lot of studies observed that its expression is induced in numerous cancer types, where it regulates several genes of the homeobox family. A study performed on esophageal squamous carcinoma (ESCC) cells demonstrated that HOTTIP functions as ceRNA for miR-30b thus regulating the repression of HOXA13 miR-30b-mediated, resulting in a positive HOTTIP/HOXA13 correlation. Its binding to this miRNA also upregulates SNAIL levels, promoting EMT and invasion properties (Figure 1E). HOTTIP direct binding to WDR5 and H3K4 trimethylation was further confirmed in this model for HOXA13 gene transcription regulation. Recently, HOTTIP was also described to drive HOXA9 expression by the same WDR5-mediated mechanism and enhance the Wnt/β-catenin pathway in prostate cancer stem cells.

Among the great variable family of lncRNAs, some were discovered for their role in the structure and function of nuclear speckles and paraspeckles, discrete adjacent structures in the interchromatin nucleoplasmic space involved in RNA splicing processes. Nuclear paraspeckle assembly transcript 1 (NEAT1) and metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), also known as Nuclear-Enriched Abundant Transcript 2 (NEAT2) were among the first lncRNAs to be implicated in progression and metastasization of cancers. Both these lncRNAs were originally characterized for their role in nuclear speckles and paraspeckles structure and function but were recently found to play a role in transcription regulation (Figure 1C). A recent work by Li et al. demonstrated that NEAT1 forms a complex with Forkhead Box N3 (FOXN3) and SIN3 Transcription Regulator Family Member A (SIN3A) which promotes EMT and invasion of breast cancer in vitro and in vivo (Figure 1B). Overexpression of both FOXN3 and NEAT1 in breast cancer led to GATA3 expression impairment and strongly correlated with poor prognosis.

MALAT1 expression has been linked to EMT promotion in several cell types and its role on the process seemed contradictory, especially in breast cancer cells. However, the great majority of works indicate that this lncRNA correlates with poor prognosis and cancer aggressiveness. Several works described its capacity to function as ceRNA for different classes of miRNAs involved in EMT regulation, as miR-205, which targets ZEB1 and ZEB2, miR-204 and miR-1, SLUG repressors (Figure 1E). Moreover, in a recent work, Wang et al. reported that TGFβ promotes overexpression of STAT3 which directly binds MALAT1 promoter to induce its transcription in head and neck squamous cell carcinoma (HNSCC). MALAT1, in turn, acts as ceRNA directly binding miR-30a, a well-known tumor suppressor miRNA, inhibiting its function.

Other studies described its role in modulating alternative splicing of EMT-related genes. In ovarian cancer, MALAT1 knockdown decreased proliferation, invasion, anchorage-independent growth, and decreased expression of RNA Binding Fox-1 Homolog 2 (RBFOX2), an RNA-binding protein which regulates alternative splicing events. RBFOX2 suppression resulted in preferential splicing of the pro-apoptotic isoform of KIF1B and increased anoikis. Another mechanism by which MALAT1 partakes to EMT regulation is by recruiting chromatin-modifiers. In renal cancer, MALAT1 has been shown to bind to the Enhancer of zeste homolog 2 (EZH2), a component of the histone-lysine N-methyltransferase PRC2. Their binding on E-CAD promoter induces its methylation and repression, supporting the EMT process (Figure 1A).

ZEB1-AS1 and ZEB2-AS1, also known as ZEB2 natural antisense transcript (ZEB2NAT), are lncRNAs regulating the expression of ZEB1, ZEB2 and, indirectly, their target genes. ZEB1-AS1 can bind ZEB1 promoter region and recruit histone methyltransferase MLL1, activating its transcription. This lncRNA overexpression was also reported to cooperate to the induction of N-CAD and of metalloproteases MMP2 and MMP9, as well as to repression of E-CAD transcription and function. ZEB1-AS1 also functions as ceRNA for several oncosuppressive miRNAs, partaking to promote cell proliferation, migration and invasion which correlates with increased tumor metastasization and shorter overall survival in several types of tumor. The mechanism of action of ZEB2-AS1 is particularly interesting; its sequence is complementary to a splice site within an intron at the 5′ UTR of ZEB2 that contains an internal ribosome entry site (IRES). Binding of ZEB2-AS1 prevents splicing of this region, improving ZEB2 translation efficiency (Figure 1D). ZEB2-AS1 upregulation is partially responsible for ZEB2 overexpression and EMT promotion in several cancers.

Urothelial cancer associated 1 (UCA1) is another lncRNA shown to upregulate ZEB1 and ZEB2, promoting EMT. UCA1 is reported to sponge several miRNAs which control EMT-related JAG/Notch, Wnt- β Catenin, FGFR1/ERK pathways, in different tumors. One of its targets is miR-145, which is targeted by several lncRNAs. Among these, Taurine upregulated gene1 (TUG1) lncRNA, which asserts pro-EMT functions in bladder cancer. In a recent work, Wu et al. showed that UCA1 knock-down resulted in diminished proliferation, invasion, migration, and drug resistance. Interestingly, they found that also Autophagy-related 7 (ATG7) can be down-regulated by UCA1 knock-down or miR-582-5p, an UCA1 target, overexpression, leading to autophagy impairment, shedding light to the variety of pathways on which lncRNAs are implicated.

A well-studied lncRNA implicated in EMT in cancer is HOX transcript antisense RNA (HOTAIR). It exhibits cell and tissue-specific expression but was found consistently overexpressed in cancer samples compared to normal ones, and its expression is associated with increased invasion and metastasization in several tumor types. Indeed, high expression in primary tumor is a prognostic marker for metastasization and patient survival. HOTAIR partakes to cell aggressiveness through several mechanisms that converge on EMT-related pathways. It was found overexpressed following TGFβ signal activation and it has been shown to have different roles in several tumors. In malignant cervical cancer cells, HOTAIR over-expression led to upregulation of EMT-related genes, Notch1, Hes1 and p300. Thus, the authors sustained that HOTAIR may contribute to EMT-induced cancer aggressiveness via the activation of Wnt-Notch signalling. In breast cancer cells, downregulation of miR-7, inhibitor of STAT3, may be attributed to HOTAIR transcriptional inhibition of HoxD10, a miR-7 expression promoter. In ESCC, HOTAIR and WNT inhibitory factor (WIF1) expression were found inversely correlated. HOTAIR recruits PRC2 complex on WIF1 promoter to induce H3K27 methylation and inhibit transcription, indirectly activating the Wnt/βcatenin signaling pathway. Noticeably, HOTAIR 5′ domain directly binds PRC2 and its 3′ domain binds lysine-specific demethylase 1 (LSD1), a component of the RE1-silencing transcription factor (CoREST/REST) repression complex, thus functioning as a scaffold and coordinator of two major histone-modifying complexes. A recent work by Song et al. indeed demonstrated that at the E-CAD promoter HOTAIR switches H3K27 acetylation to methylation, blocking its expression and supporting EMT in gastric cancer (Figure 1A).

The oncofetal H19 is a lncRNA identified as overexpressed in a lot of cancer models compared to normal tissues, and to have multiple roles throughout tumorigenesis. It responds concomitantly to several EMT-related signaling, among which TGFβ, HGF and Hypoxia/ Hypoxia Inducible transcription factor 1 (HIF1), which may in part explain why this lncRNA is particularly expressed in metastatic cells. H19 forms a positive feedback loop with SLUG, promotes EZH2-mediated silencing of the E-CAD promoter, and functions as ceRNA for several anti-EMT miRNAs, further highlighting its relevance in EMT regulation. Moreover, H19 sequence contains miR-675. Once processed, this miRNA support EMT enhancing cell invasion and proliferation impacting on several pathways among which the AKT/mTOR axis (Figure 1D).

The list of the hypoxia-responding lncRNAs is increasing and the lncRNA regulator of reprogramming (LncRNA-ROR) is one of the most studied. It was originally identified in induced pluripotent stem cells (iPS) as a p53/stress response pathways inhibitor. Its overexpression was then reported in several tumors. Consistently with its effect in iPS, its expression correlates with cell invasion capacity and expression of EMT markers. As many other lncRNAs, its effect is attributed to its ceRNA role through which lncRNA-ROR sequesters and inhibits miRNAs targeting ZEB1/ZEB2 expression. Furthermore, in breast cancer cells this lncRNA sponges miR-145, which is a suppressor of the ADP-ribosylation factor 6 (ARF6), key regulator of the process of invasion.

Alternative splicing regulates the great majority of multi-exon genes in human. A work by Grelet et al. described the post-translational regulation of lncRNA expression through the control of the alternative splicing machinery. Phosphatase 1 nuclear targeting subunit (PNUTS) gene can encode both for an mRNA and a lncRNA. Heterogeneous nuclear ribonucleoprotein E1 (hnRNP E1) impedes the alternative splicing that would lead to lncRNA-PNUTS production. Loss of this RNA-binding protein, induced by TGFβ, leads to an accumulation of the lncRNA form, which was found upregulated in tumor cells. lncRNA-PNUTS can interact with miR-205 and control the miR-205/ZEB/E-CAD axis, thus regulating EMT-mediated migration and invasion, besides tumor implantation, growth and metastasization in vivo.

Linc00941 (also known as lncRNA-MUF) was recently described as EMT-promoter in hepatocellular carcinoma cells, where it exerts a double function, it sponges miR-34a, leading to SNAIL1 upregulation (Figure 1E) and binds Annexin2 (ANXA2) and Glycogen synthase kinase 3 beta (GSK3β). Its scaffold function influences β-catenin phosphorylation and nuclear location, promoting Wnt/β-catenin pathway (Figure 1B). Expression levels of LINC00941 were also correlated with invasion capacity, lymphatic metastasis, and stage of patients with gastric cancer.

6. Anti-EMT lncRNAs

As strongly suggested by the name, low expression in tumor (LET) is a lncRNA down-regulated in several cancer types. It was discovered as negatively regulated by hypoxia-induced histone deacetylase 3 (HDAC3) and its downregulation led to nuclear factor 90 (NF90) stabilization, which promotes cell invasion. In nasopharyngeal carcinoma cells, in which LET inhibits cell proliferation and promotes apoptosis, its repression has been linked to EZH2-mediated H3K27 histone tri-methylation of LET promoter.

The lncRNA growth arrest-specific 5 (GAS5) has been reported to suppress tumor proliferation, migration, and the EMT in osteosarcoma directly sponging miR-221 to inhibit its function and enhance aplasia Ras homologue member I (ARHI) expression, which is a tumor suppressor gene in osteosarcoma, down regulated in several cancers. A recent work by Liu et al. described GAS5 role also in pancreatic cancer, where it is significantly down-regulated compared to normal tissue and where this lncRNA reverses EMT and metastasization. Also, in this model, GAS5 functions as ceRNA for miR-221 affecting its targets, among which SOCS3, inhibitor of EMT and of the JAK2/STAT3 signaling. GAS5-AS, the antisense RNA of GAS5, has been shown to be down regulated in NSCLC samples as compared to adjacent normal lung. Furthermore, their expression was shown to reversely correlate with TNM stages, tumor size, and lymph node metastasis suggesting a role of this noncoding transcript in this setting. Interestingly, these results indicated that both transcripts (GAS5 and GAS5-AS1) play tumor suppressive roles in NSCLC but influencing distinct pathways. GAS5 inhibits cell proliferation inducing apoptosis, GAS5-AS1 negatively controls cell migration and invasion, hypothesizing that the NSCLC cells with low expression of both lncRNAs may be even more aggressive than cells expressing low levels of one of them.

Linc01186 was characterized as inhibitor of cell migration and invasion in a study performed to identify lncRNAs under TGFβ/SMAD3 regulation in lung cancer. Its transcription was indeed repressed by SMAD3, affecting the expression levels of several EMT markers. It was recently described as tumor suppressor in thyroid papillary carcinoma (PTC) where it inhibited LATS1/YAP signaling pathway.

lncRNA-downregulated expression by hepatitis B virus X (DREH) was identified as down- regulated in HBx-related HCC compared to normal adjacent tissue. It acts as a tumor suppressor inhibiting cell proliferation in vitro and metastasization in vivo. DREH was also found to interact and repress the intermediate filament Vimentin expression changing cytoskeleton architecture and inhibiting tumor metastasis.

Tumor suppressor candidate 7 (TUSC7) expression was found down regulated in HCC, NSCLC, pancreatic carcinoma, colorectal cancer, glioma and other tumor types. In HCC, it counteracts EMT and invasion capacity sponging miR-10a, a well-known upregulated miRNA in this type of carcinoma, increasing the expression of the anti-EMT EPHA4. In other cell contexts, TUSC7 can function as ceRNA for other miRNAs which positively control EMT, like miR-211 and miR-371a-5p.

LEIGC lncRNA was described as downregulated in gastric cancer, where its overexpression can impair the invasiveness of cells. This transcript influences the expression of epithelial genes like E-CAD and mesenchymal makers but the mechanisms at the basis of its functioning are still unknown.

7. lncRNAs with Controversial Role in EMT

lncRNAs expression is restricted in time and space in a very stringent way. This high tissue-specificity grants a fine differential gene regulation and likely underpin a context specific differentiated function. Indeed, many lncRNAs have been described to have distinctive and often contradictory functions in different cellular contexts. This is true also for lncRNA that are engaged in EMT and cancer regulation.

One of the first lncRNA ever investigated is X-inactive specific transcript (XIST), found to be the master regulator of the X chromosome inactivation in mammals. Interestingly, an increasing number of studies pointed out that XIST expression is deregulated in multiple tumors. However, its role seems to be opposite in different types of tumors. A recent work by Chen et al. explored its role in metastasization of colorectal cancer (CRC). In this tumor cells, XIST was overexpressed and correlated with poor outcome. Knockdown experiments demonstrated that this lncRNA can modulate cell proliferation, invasion and EMT by sponging miR-200b-3p to modulate ZEB1 expression. Another study in retinoblastoma (RB) showed that XIST supports proliferation, migration, invasion through the accomplishment of the EMT program and the blocking of apoptosis. It negatively regulates miR-101 to support ZEB1 and ZEB2 expression. On the contrary, XIST was reported to be significantly down-regulated and its expression inversely correlated to advanced stage and lymph node metastasis in breast cancer. Similar results were presented by Du et al. in prostate cancer, underlying that XIST role in carcinogenesis is largely tissue-dependent.

lncRNA Opa interacting protein 5-antisense RNA1 (OIP5-AS1) was reported to have controversial functions in different tumors. It is described to sponge miR-143-3p upregulating SMAD3 expression to contribute to cervical cancer cells metastasization, or as unfavorable predictor in hepatoblastoma in which it binds miR-186a-5p upregulating ZEB1 and promoting EMT, proliferation and metastasis. On the contrary, other works indicate OIP5-AS1 as a protective factor, for instance in multiple myeloma cells where it binds the pro-EMT miR-410 preventing its inhibitory role on the oncosuppressor and SMAD repressor KLF10.

Another example of contrasting functions of lncRNAs in EMT regulation is SPRY4-IT1. This is a long intergenic transcript which derives from an intron of Spry4, inhibitor of MAP-Kinase pathway. SPRY4-IT1 expression is induced in cancer compared to normal cells and this lncRNA has been shown to support EMT in osteosarcoma, gliomas, colorectal cancer, bladder cancer and others. On the contrary, its expression is down-regulated in NSCLC cells. In this context, SPRY4 negatively regulates EMT with the cooperation of its associated lncRNA SPRY4-IT1. Also, in this case, EZH2 seems to be involved in the regulation of this lncRNA transcription.

ZNFX1 antisense RNA 1 (ZFAS1) lncRNA is aberrantly overexpressed and is reported as an oncogene in various tumors as melanoma, ESCC, NSCLC, gastric cancer, colon cancer. In gastric cancer its expression was associated with increased levels of ZEB1 and Wnt pathway, but other works have proposed opposing results in HCC. A recent work showed that ZFAS1 inhibits miRNA-150 leading to activation of ZEB1, MMP14, and MMP16. By contrast, Wang et al. proposed the lncRNA as a oncosuppressor in HCC. In breast cancer, ZFAS1 expression is impaired, and its activity linked to tumor suppressor function. Its overexpression diminished cell proliferation arresting cell cycle and inducing apoptosis and inhibited cell migration and invasion by regulating EMT.

lncRNA in nonhomologous end joining pathway 1 (LINP1) was reported to be transcriptionally inhibited by TGF-β1 in a SMAD4-dependent manner in lung cancer cells. LINP1 suppressed EMT controlling cancer cell migration and invasion. On the contrary, in breast cancer, LINP1 was reported to be regulated by p53 and EGFR signaling and its silencing increased tumor-cell response to radiotherapy.

Maternally expressed gene 3 (MEG3) is a lncRNA object of numerous recent works reporting both pro- and anti-cancer activity of this transcript, depending on the context. In lung cancer, MEG3 has been proposed as a positive regulator of EMT. Mechanistically, this lncRNA regulates recruitment of EZH2 and JARID2, another component of the PRC2 complex, on E-CAD and miR-200 family loci to impair their transcription. By contrast, a study in gastric cancer showed that MEG3 expression is down-regulated in tumor compared to normal tissue and that, in vitro, MEG3 suppressed cell motility, negatively regulating miR-21, a pro-EMT miRNA. According to this work, others reported an anti-EMT role of this lncRNA in additional tumor models but describing different mechanisms of action.

BRAF-activated non-protein coding RNA (BANCR) was first described as overexpressed in melanoma cells where it is required for melanoma cell migration. In colorectal cancer, BANCR induced EMT through the MEK/ERK signaling, promoting cancer cells aggressiveness. A similar function was recently reported in PTC. BANCR positive regulation of EMT and invasion capability was also reported in breast cancer cells. On the contrary, in NSCLC its expression was significantly lower in advanced tumor stages and in metastatic tumors, and its down regulation correlated with a shorter overall survival in patients. BANCR overexpression led to inhibition of cell migration and invasion and promotion of apoptosis in vitro, and in a significant reduction in the number of lung metastasis in vivo. BANCR inhibitory effects on cell migration and invasion were associated with EMT suppression, thus indicating this lncRNA as a positive prognostic factor.

8.1. lncRNAs as Biomarkers

lncRNAs have been proven to be a useful tool to understand the molecular mechanisms at the basis of physiological and pathological processes. A current challenge is to correctly contextualize their expression and activity in order to exploit their value as biomarkers. lncRNAs expression is stringently regulated and selectively activated in a time and space dependent manner. Furthermore, differently from what previously thought, lncRNAs are characterized by consistent stability. These characteristics and the presence of this transcripts in tissues and circulating fluids opened a new field of study aiming to evaluate their putative role in this sense.

Metastatic spreading is the major event determining cancer-dependent death and EMT is an early key pathway in this process. Thus, growing efforts are made to understand if lncRNAs could be used to predict tumor metastatic potential. Most of lncRNAs discussed above were described deregulated in tumor samples compared to normal tissues and some of them have shown significant correlation with tumor metastasis and reduced patients’ overall or disease-free survival.

For instance, PVT1 was proposed as diagnostic and prognostic marker in primary acute promyelocytic leukemia (APL). A recent work proposed the combination of the oncogenic MYC, PVT1, and another lncRNA transcribed from the same genomic locus as prognostic marker also in t(8;21) associated acute myeloid leukemia (AML). They found the signature linked to all characteristics of the progression of the disease. Moreover, high expression of the three transcripts were associated to high minimal residual disease, suggesting PVT1 involvement in multidrug resistance.

The serum levels of lncRNA H19, together with miR-204, miR-182 were recently proposed as prospective plasma biomarkers to detect GC and its progression from ulcer caused by H. pylori. The authors indeed showed that serum lncRNA H19 has a high diagnostic accuracy, specificity and sensitivity. Another work, on bladder cancer (BC), showed a positive correlation among serum exosomal H19 with total H19 level in paired cancer tissues. Exosomal H19 levels were significantly higher in serum of BC patients compared to control samples and higher H19 expression correlated with poor overall survival. Detection of serum exosomal H19 was thus proposed as non-invasive diagnostic and prognostic biomarker for these patients. The detection of H19 to aid patients’ stratification is proposed in several other tumor settings.

Deep sequencing analysis of patients’ DNA samples discovered an unexpected large amount of mutations and copy number variations mapping within noncoding genomic regions. The meaning of many of these alterations remain difficult to understand and a main future challenge will be to discriminate, among all noncoding alterations, those that have biological relevance and a real impact on cancer behavior.

To date, an increasing number of meta-analyses are trying to put together a large gene expression dataset to define if and which lncRNAs have a prognostic value in different tumor types, with promising results. In one of these studies, the authors performed an in-depth transcriptomic analysis using TCGA breast cancer RNA-seq data. They found 215 lncRNAs whose transcription is dysregulated in this type of cancer and independently validated a discovery signature. They also reported an association among lncRNAs expression, some clinical features and tumor relapse. lncRNAs part of the signature were mainly associated to key molecular pathways like EGFR, PI3K, MAPK, and E2F1. The lncRNA profiling could also distinguish between ER+ and ER− tumors allowing stratification.

A similar analysis of lncRNA expression profiles was performed on Diffuse large B-cell lymphoma (DLBCL) cohort from Gene Expression Omnibus (GEO) datasets. The discovery cohort led to a set of 17 of the 156 differentially expressed lncRNAs that were chosen as putative biomarkers able to discriminate among major tumor subtypes. Patients expressing the 17 lncRNAs signature presented significantly worse clinical outcome. The lncRNA composing the signature were mainly involved in immune-associated processes and chemokine signaling pathway. Interestingly, this signature was proposed both for DLBCL classification and prognosis.

Another branch of study in this field is focusing on evaluating the clinical potential of circulating lncRNAs as cancer biomarkers, but to date a global consensus on procedures and detection protocols lacks and needs to be fully elucidated before giving potential answers. It is now clear that single tumor-associated circulating lncRNA detection is not a powerful prognostic nor diagnostic tool. On the contrary, signatures composed by a combination of various circulating lncRNAs can considerably promote the efficiency of some cancer detection. In a work performed in gastric cancer, the authors proposed a signature composed of three circulating lncRNAs which could distinguish cancer patients from healthy controls, with great sensitivity and specificity, suggesting a putative use of the signature for diagnosis.

Tong et al. found that the plasma levels of three lncRNAs of the 10 evaluated could discriminate healthy from ESCC patients. One of these lncRNAs improved the diagnostic specificity of the Squamous Cell Carcinoma Antigen (SCCA), a diagnostic marker currently in use in this setting. Interestingly, this combination effectively detects more than 80% of ESCC at an early stage.

Several works demonstrated the feasibility of using circulating lncRNAs as cancer biomarkers but many preanalytical and analytical factors are slowing the translation into clinic. All the steps of the process must be set and standardized. Thus, great efforts should be made to improve analytical approaches, which should be tailored on the peculiarity of these molecules.

8.2. lncRNAs as Therapeutic Targets

The emerging role of lncRNAs as regulators of both oncosuppressive and oncogenic pathways, including EMT, raises the challenge of efficiently targeting them both to explore their actual function in cancer biology and to set-up possible strategies to counteract their effects in cancer patients. Currently, a variety of approaches for lncRNAs targeting are under investigation, even if major limitations in this context remain. RNA interference (RNAi). It allows specific knockdown of target RNAs introducing exogenous complementary RNAs and can be achieved through different agents like siRNA (small interfering RNAs), shRNAs (short hairpin RNAs), and miRNAs. The interference is accomplished through the activation of RNAase III enzyme Dicer, a RNA-induced silencing complex (RISC) and Argonaute (AGO2) endonuclease. Several pharmaceutical companies tried to ameliorate siRNA-based drugs working on different aspects, among which chemical modification to counteract their degradation. However, in vivo experiments using RNAi did not lead to striking results. This was principally due to lack of efficient delivery methods, like liposomes, nanoparticles or viruses for proper cellular uptake and to protect RNAs from degradation. Further improvements are surely needed for safe and effective use of RNAi-based therapies, but some of them already reached clinical trials.Antisense oligonucleotides (ASOs). 13–25 nt DNA sequences designed to bind complementary RNA targets to cleave them through the activation of RNase H or to promote splicing alterations. The advantage of these molecules is that, exploiting RNase H mechanism, can easily target nuclei-enriched RNAs, unlike the above described RNAi. ASOs were chemically modified to avoid degradation and used in clinical trials to target mRNAs. Few of them are approved by the Food and Drug Administration (FDA) for hypercholesterolemia, so they are emerging also as a tool for lncRNAs targeting. Unfortunately, modified ASOs-mediated RNase H induction is scarce, thus to achieve better results, a series of subsequent modifications were performed. This led to the development of chimeric RNA-DNA-RNA ASOs referred to as gapmers, locked nucleic acids (LNAs) and D-constrained ethyl (cRt) which entered cancer-related clinical trials. AntagoNATs, particular type of ASOs, are designed to target Natural Antisense RNAs (NATs), a subset of ncRNAs overlapping protein-coding genes, and transcribed in the antisense direction. NATs often negatively impact on protein-coding genes expression, acting in cis. Thus, targeting these molecules could upregulate nearby genes expression, being a valuable resource to re-express oncosuppressor genes.Morpholinos. 25-nt DNA analogs initially used for loss of function studies in zebrafish, have then been used to regulate miRNAs activity, to prevent mRNAs translation or to promote pre-mRNAs alternative splicing. Even though preclinical studies using morpholisnos are limited, some of them are clinically approved for Duchenne dystrophy thus they could be a useful tool to counteract lncRNAs.Aptamers. Single-stranded nucleic acids engineered through repeated rounds of in vitro selection called systematic evolution of ligands by exponential enrichment (SELEX) to bind small molecules, proteins, nucleic acids, but also cells and tissues. Aptamers were developed as an alternative to antibodies to target every molecular target without elicit immunological reactions in therapeutic, imaging and diagnostic applications. The first RNA aptamer was approved by FDA in 2004 to treat macular degeneration. To date, a number of aptamer-based drugs have been evaluated in cancer clinical trials. Cancer-targeting aptamers have been used for the selective recognition and elimination of tumorigenic cells and for new biomarkers discovery. Moreover, aptamers were used to block or activate immune receptors and cytokines, modulating intrinsic immune responses against cancers, thus some works are proposing these molecules as a promising support for immunotherapies.Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) effectors. With recent advances in CRISPR/Cas9 genome editing methods, lncRNAs transcriptional silencing became a realistic perspective. CRISPR interference (CRISPRi) allows the exploitation of dead-Cas9, a mutated enzyme lacking endonuclease activity unable to provoke double-strand brakes on DNA, fused to a transcriptional repressor. This fused complex is targeted to the genomic region of interest with guide RNAs. A recent work by Liu et al. used this technique to specifically inactivate a series of lncRNAs in different cell lines, underlying the differential essentiality of these transcripts in different settings. Another method recently proposed implicates the use of CRISPR/Cas13. Cas13 differs from Cas9 because binds and cleaves RNA instead of DNA, which could be a promising tool for RNA-directed therapies. Several preclinical studies used CRISPR effectors to edit DNA or RNA but efficient translation into clinical practice remains to be verified.Small molecules. Low molecular weight organic compounds able to enter the plasma membrane and interact with their targets are widely used in clinic. Interestingly, such molecules could be developed to target secondary or tertiary RNA structures, but this field is still on its infancy.

RNA interference (RNAi). It allows specific knockdown of target RNAs introducing exogenous complementary RNAs and can be achieved through different agents like siRNA (small interfering RNAs), shRNAs (short hairpin RNAs), and miRNAs. The interference is accomplished through the activation of RNAase III enzyme Dicer, a RNA-induced silencing complex (RISC) and Argonaute (AGO2) endonuclease. Several pharmaceutical companies tried to ameliorate siRNA-based drugs working on different aspects, among which chemical modification to counteract their degradation. However, in vivo experiments using RNAi did not lead to striking results. This was principally due to lack of efficient delivery methods, like liposomes, nanoparticles or viruses for proper cellular uptake and to protect RNAs from degradation. Further improvements are surely needed for safe and effective use of RNAi-based therapies, but some of them already reached clinical trials.

Antisense oligonucleotides (ASOs). 13–25 nt DNA sequences designed to bind complementary RNA targets to cleave them through the activation of RNase H or to promote splicing alterations. The advantage of these molecules is that, exploiting RNase H mechanism, can easily target nuclei-enriched RNAs, unlike the above described RNAi. ASOs were chemically modified to avoid degradation and used in clinical trials to target mRNAs. Few of them are approved by the Food and Drug Administration (FDA) for hypercholesterolemia, so they are emerging also as a tool for lncRNAs targeting. Unfortunately, modified ASOs-mediated RNase H induction is scarce, thus to achieve better results, a series of subsequent modifications were performed. This led to the development of chimeric RNA-DNA-RNA ASOs referred to as gapmers, locked nucleic acids (LNAs) and D-constrained ethyl (cRt) which entered cancer-related clinical trials. AntagoNATs, particular type of ASOs, are designed to target Natural Antisense RNAs (NATs), a subset of ncRNAs overlapping protein-coding genes, and transcribed in the antisense direction. NATs often negatively impact on protein-coding genes expression, acting in cis. Thus, targeting these molecules could upregulate nearby genes expression, being a valuable resource to re-express oncosuppressor genes.

Morpholinos. 25-nt DNA analogs initially used for loss of function studies in zebrafish, have then been used to regulate miRNAs activity, to prevent mRNAs translation or to promote pre-mRNAs alternative splicing. Even though preclinical studies using morpholisnos are limited, some of them are clinically approved for Duchenne dystrophy thus they could be a useful tool to counteract lncRNAs.

Aptamers. Single-stranded nucleic acids engineered through repeated rounds of in vitro selection called systematic evolution of ligands by exponential enrichment (SELEX) to bind small molecules, proteins, nucleic acids, but also cells and tissues. Aptamers were developed as an alternative to antibodies to target every molecular target without elicit immunological reactions in therapeutic, imaging and diagnostic applications. The first RNA aptamer was approved by FDA in 2004 to treat macular degeneration. To date, a number of aptamer-based drugs have been evaluated in cancer clinical trials. Cancer-targeting aptamers have been used for the selective recognition and elimination of tumorigenic cells and for new biomarkers discovery. Moreover, aptamers were used to block or activate immune receptors and cytokines, modulating intrinsic immune responses against cancers, thus some works are proposing these molecules as a promising support for immunotherapies.

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) effectors. With recent advances in CRISPR/Cas9 genome editing methods, lncRNAs transcriptional silencing became a realistic perspective. CRISPR interference (CRISPRi) allows the exploitation of dead-Cas9, a mutated enzyme lacking endonuclease activity unable to provoke double-strand brakes on DNA, fused to a transcriptional repressor. This fused complex is targeted to the genomic region of interest with guide RNAs. A recent work by Liu et al. used this technique to specifically inactivate a series of lncRNAs in different cell lines, underlying the differential essentiality of these transcripts in different settings. Another method recently proposed implicates the use of CRISPR/Cas13. Cas13 differs from Cas9 because binds and cleaves RNA instead of DNA, which could be a promising tool for RNA-directed therapies. Several preclinical studies used CRISPR effectors to edit DNA or RNA but efficient translation into clinical practice remains to be verified.

Small molecules. Low molecular weight organic compounds able to enter the plasma membrane and interact with their targets are widely used in clinic. Interestingly, such molecules could be developed to target secondary or tertiary RNA structures, but this field is still on its infancy.

Some works described the use of EMT-related lncRNA-targeting strategies in preclinical subsets. For instance, subcutaneous injection of MALAT1-targeting ASOs in a mouse model of metastatic luminal B breast cancer resulted in the formation of cystic and non-metastatic tumors. Since MALAT1 is highly expressed in metastases of human breast cancer, the authors suggested further clinical investigation to evaluate this therapy to support breast cancer treatment.

However, despite the great enthusiasm for nucleic-acids based therapies and some therapeutic success, such strategies were developed over 40 years ago and pitfalls still exist. Plasma membrane crossing and cellular nucleases recognizing non-self RNAs, such as Toll-like receptors and RNA helicases, are still major caveats, limiting the efficacy of this methods. Moreover, the problem of off-targets is not negligible and still raises perplexities.

9. Conclusions

LncRNAs are emerging as key players in all cellular contexts and their importance in cancer initiation and progression is relevant, but the study of their mechanisms of action and the evaluation of which transcripts are valuable target remain to be addressed. Furthermore, the development of techniques both to study lncRNAs functionally and to set targeting strategies, overcoming off-target and toxicity effects, is needed to translate lncRNAs in a clinical setting.

References 191

  1. 1.

    Nieto M.A., Huang R.Y.-J., Jackson R.A., Thiery J.P. EMT: 2016. Cell. 2016;166:21-45.

    Not in our library10.1016/j.cell.2016.06.028

  2. 2.

    Thiery J.P., Acloque H., Huang R.Y., Nieto M.A. Epithelial-Mesenchymal Transitions in Development and Disease. Cell. 2009;139:871-890.

    Not in our library10.1016/j.cell.2009.11.007

  3. 3.

    Brabletz T., Kalluri R., Nieto M.A., Weinberg R.A. EMT in cancer. Nat. Rev. Cancer. 2018;18:128-134.

    Not in our library10.1038/nrc.2017.118

  4. 4.

    Pei D., Shu X., Gassama-Diagne A., Thiery J.P. Mesenchymal–epithelial transition in development and reprogramming. Nature. 2019;21:44.

    Not in our library10.1038/s41556-018-0195-z

  5. 5.

    Polyak K., Weinberg R.A. Transitions between epithelial and mesenchymal states: Acquisition of malignant and stem cell traits. Nat. Rev. 2009;9:265-273.

    Not in our library10.1038/nrc2620

  6. 6.

    Gugnoni M., Sancisi V., Gandolfi G., Manzotti G., Ragazzi M., Giordano D., Tamagnini I., Tigano M., Frasoldati A., Piana S., et al. Cadherin-6 promotes EMT and cancer metastasis by restraining autophagy. Oncogene. 2017;36:667-677.

    Not in our library10.1038/onc.2016.237

  7. 7.

    Cheung K.J., Gabrielson E., Werb Z., Ewald A.J. Collective Invasion in Breast Cancer Requires a Conserved Basal Epithelial Program. Cell. 2013;155:1639-1651.

    Not in our library10.1016/j.cell.2013.11.029

  8. 8.

    Cheung K.J., Ewald A.J. A collective route to metastasis: Seeding by tumor cell clusters. Science. 2016;352:167-169.

    Not in our library10.1126/science.aaf6546

  9. 9.

    The ENCODE Project Consortium. The ENCODE (ENCyclopedia of DNA Elements) Project. Science. 2004;306:636-640.

    Not in our library10.1126/science.1105136

  10. 10.

    International Human Genome Sequencing Consortium. Initial sequencing and analysis of the human genome. Nature. 2001;409:860-921.

    Not in our library10.1038/35057062

  11. 11.

    Coffey A.J., Kokocinski F., Calafato M.S., Scott C.E., Palta P., Drury E., Joyce C.J., Leproust E.M., Harrow J., Hunt S., et al. The GENCODE exome: Sequencing the complete human exome. Eur. J. Hum. Genet. 2011;19:827-831.

    Not in our library10.1038/ejhg.2011.28

  12. 12.

    Djebali S., Davis C.A., Merkel A., Dobin A., Lassmann T., Mortazavi A., Tanzer A., Lagarde J., Lin W., Schlesinger F., et al. Landscape of transcription in human cells. Nature. 2012;489:101-108.

    Not in our library10.1038/nature11233

  13. 13.

    The FANTOM Consortium. The Transcriptional Landscape of the Mammalian Genome. Science. 2005;309:1559-1563.

    Not in our library10.1126/science.1112014

  14. 14.

    Johnson R., Bussotti G., Tanzer A., Djebali S., Tilgner H., Guernec G., Martín D., Merkel A., Lagarde J., Veeravalli L., et al. The GENCODE v7 catalog of human long noncoding RNAs: Analysis of their gene structure, evolution, and expression. Genome Res. 2012;22:1775-1789.

    Not in our library10.1101/gr.132159.111

  15. 15.

    Kopp F., Mendell J.T. Functional classification and experimental dissection of long noncoding RNAs. Cell. 2018;172:393-407.

    Not in our library10.1016/j.cell.2018.01.011

  16. 16.

    Ponting C.P., Oliver P.L., Reik W. Evolution and Functions of Long Noncoding RNAs. Cell. 2009;136:629-641.

    Not in our library10.1016/j.cell.2009.02.006

  17. 17.

    Core L.J., Waterfall J.J., Lis J.T. Nascent RNA Sequencing Reveals Widespread Pausing and Divergent Initiation at Human Promoters. Science. 2008;322:1845-1848.

    Not in our library10.1126/science.1162228

  18. 18.

    Engreitz J.M., Haines J.E., Perez E.M., Munson G., Chen J., Kane M., McDonel P.E., Guttman M., Lander E.S. Local regulation of gene expression by lncRNA promoters, transcription and splicing. Nature. 2016;539:452-455.

    Not in our library10.1038/nature20149

  19. 19.

    Seila A.C., Calabrese J.M., Levine S.S., Yeo G.W., Rahl P.B., Flynn R.A., Young R.A., Sharp P.A. Divergent transcription from active promoters. Science. 2008;322:1849-1851.

    Not in our library10.1126/science.1162253

  20. 20.

    Matsumoto A., Pasut A., Matsumoto M., Yamashita R., Fung J., Monteleone E., Saghatelian A., Nakayama K.I., Clohessy J.G., Pandolfi P.P. mTORC1 and muscle regeneration are regulated by the LINC00961-encoded SPAR polypeptide. Nature. 2017;541:228-232.

    Not in our library10.1038/nature21034

  21. 21.

    Tajbakhsh S. lncRNA-Encoded Polypeptide SPAR(s) with mTORC1 to Regulate Skeletal Muscle Regeneration. Cell Stem Cell. 2017;20:428-430.

    Not in our library10.1016/j.stem.2017.03.016

  22. 22.
  23. 23.

    Liu H., Shang X., Zhu H. LncRNA/DNA binding analysis reveals losses and gains and lineage specificity of genomic imprinting in mammals. Bioinformatics. 2017;33:1431-1436.

    Not in our library10.1093/bioinformatics/btw818

  24. 24.

    Zhao T. Long noncoding RNA and its role in virus infection and pathogenesis. Front. Biosci. 2019;24:777-789.

    Not in our library10.2741/4750

  25. 25.

    Bhan A., Soleimani M., Mandal S.S. Long Noncoding RNA and Cancer: A New Paradigm. Cancer Res. 2017;77:3965-3981.

    Not in our library10.1158/0008-5472.can-16-2634

  26. 26.

    Konig J., Zarnack K., Luscombe N.M., Ule J. Protein–RNA interactions: New genomic technologies and perspectives. Nat. Rev. Genet. 2012;13:77-83.

    Not in our library10.1038/nrg3141

  27. 27.

    Ulitsky I., Bartel D.P. lincRNAs: Genomics, Evolution, and Mechanisms. Cell. 2013;154:26-46.

    Not in our library10.1016/j.cell.2013.06.020

  28. 28.

    Tsai M.-C., Manor O., Wan Y., Mosammaparast N., Wang J.K., Lan F., Shi Y., Segal E., Chang H.Y. Long Noncoding RNA as Modular Scaffold of Histone Modification Complexes. Science. 2010;329:689-693.

    Not in our library10.1126/science.1192002

  29. 29.

    Hirata H., Hinoda Y., Shahryari V., Deng G., Nakajima K., Tabatabai Z.L., Ishii N., Dahiya R. Long noncoding RNA MALAT1 promotes aggressive renal cell carcinoma through Ezh2 and interacts with miR-205. Cancer Res. 2015;75:1322-1331.

    Not in our library10.1158/0008-5472.can-14-2931

  30. 30.
  31. 31.

    West J.A., Davis C.P., Sunwoo H., Simon M.D., Sadreyev R.I., Wang P.I., Tolstorukov M.Y., Kingston R.E. The long noncoding RNAs NEAT1 and MALAT1 bind active chromatin sites. Mol. Cell. 2014;55:791-802.

    Not in our library10.1016/j.molcel.2014.07.012

  32. 32.

    Hirose T., Virnicchi G., Tanigawa A., Naganuma T., Li R., Kimura H., Yokoi T., Nakagawa S., Bénard M., Fox A.H., et al. NEAT1 long noncoding RNA regulates transcription via protein sequestration within subnuclear bodies. Mol. Biol. Cell. 2014;25:169-183.

    Not in our library10.1091/mbc.e13-09-0558

  33. 33.

    Zhan M., He K., Xiao J., Liu F., Wang H., Xia Z., Duan X., Huang R., Li Y., He X., et al. LncRNA HOXA11-AS promotes hepatocellular carcinoma progression by repressing miR-214-3p. J. Cell. Mol. Med. 2018;22:3758-3767.

    Not in our library10.1111/jcmm.13633

  34. 34.

    Ma M.-H., An J.-X., Zhang C., Liu J., Liang Y., Zhang C.-D., Zhang Z., Dai D.-Q. ZEB1-AS1 initiates a miRNA-mediated ceRNA network to facilitate gastric cancer progression. Cancer Cell Int. 2019;19:27.

    Not in our library10.1186/s12935-019-0742-0

  35. 35.
  36. 36.

    Farooqi A.A., Attar R., Qureshi M.Z., Fayyaz S., Sohail M.I., Sabitaliyevich U.Y., Nurmurzayevich S.B., Yelekenova A., Yaylim I., Alaaeddine N. Interplay of long non-coding RNAs and TGF/SMAD signaling in different cancers. Cell. Mol. Biol. 2018;64:1-6.

    Not in our library10.14715/cmb/2017.64.15.1

  37. 37.

    Zhang X., Feng W., Zhang J., Ge L., Zhang Y., Jiang X., Peng W., Wang D., Gong A., Xu M. Long non-coding RNA PVT1 promotes epithelial-mesenchymal transition via the TGF-β/Smad pathway in pancreatic cancer cells. Oncol. Rep. 2018;40:1093-1102.

    Not in our library10.3892/or.2018.6462

  38. 38.

    Wu B.-Q., Jiang Y., Zhu F., Sun D.-L., He X.-Z. Long Noncoding RNA PVT1 Promotes EMT and Cell Proliferation and Migration Through Downregulating p21 in Pancreatic Cancer Cells. Technol. Res. Treat. 2017;16:819-827.

    Not in our library10.1177/1533034617700559

  39. 39.

    Li Z., Lu Q., Zhu D., Han Y., Zhou X., Ren T. Lnc-SNHG1 may promote the progression of non-small cell lung cancer by acting as a sponge of miR-497. Biochem. Biophys. Res. Commun. 2018;506:632-640.

    Not in our library10.1016/j.bbrc.2018.10.086

  40. 40.

    Wang H., Wang G., Gao Y., Zhao C., Li X., Zhang F., Jiang C., Wu B. Lnc-SNHG1 Activates the TGFBR2/SMAD3 and RAB11A/Wnt/β-Catenin Pathway by Sponging MiR-302/372/373/520 in Invasive Pituitary Tumors. Cell. Physiol. Biochem. 2018;48:1291-1303.

    Not in our library10.1159/000492089

  41. 41.

    Cui M., Chang Y., Du W., Liu S., Qi J., Luo R., Luo S. Upregulation of lncRNA-ATB by Transforming Growth Factor β1 (TGF-β1) Promotes Migration and Invasion of Papillary Thyroid Carcinoma Cells. Med. Sci. Monit. 2018;24:5152-5158.

    Not in our library10.12659/msm.909420

  42. 42.

    Zhang Y., Li J., Jia S., Wang Y., Kang Y., Zhang W. Downregulation of lncRNA-ATB inhibits epithelial-mesenchymal transition of breast cancer cells by increasing miR-141-3p expression. Biochem. Cell Biol. 2019;97:193-200.

    Not in our library10.1139/bcb-2018-0168

  43. 43.

    Lei K., Liang X., Gao Y., Xu B., Xu Y., Li Y., Tao Y., Shi W., Liu J. Lnc-ATB contributes to gastric cancer growth through a MiR-141-3p/TGFβ2 feedback loop. Biochem. Biophys. Res. Commun. 2017;484:514-521.

    Not in our library10.1016/j.bbrc.2017.01.094

  44. 44.

    Yuan J.-H., Yang F., Wang F., Ma J.-Z., Guo Y.-J., Tao Q.-F., Liu F., Pan W., Wang T.-T., Zhou C.-C., et al. A Long Noncoding RNA Activated by TGF-β Promotes the Invasion-Metastasis Cascade in Hepatocellular Carcinoma. Cancer Cell. 2014;25:666-681.

    Not in our library10.1016/j.ccr.2014.03.010

  45. 45.

    Li W., Kang Y. A New Lnc in Metastasis: Long Non-Coding RNA Mediates the Pro-metastatic Functions of TGF-β. Cancer Cell. 2014;25:557-559.

    Not in our library10.1016/j.ccr.2014.04.014

  46. 46.
  47. 47.

    Van Staalduinen J., Baker D., Dijke P.T., Van Dam H. Epithelial–mesenchymal-transition-inducing transcription factors: New targets for tackling chemoresistance in cancer? Oncogene. 2018;37:6195-6211.

    Not in our library10.1038/s41388-018-0378-x

  48. 48.

    Jia X., Wang Z., Qiu L., Yang Y., Wang Y., Chen Z., Liu Z., Yu L. Upregulation of LncRNA-HIT promotes migration and invasion of non-small cell lung cancer cells by association with ZEB1. Cancer Med. 2016;5:3555-3563.

    Not in our library10.1002/cam4.948

  49. 49.

    Richards E.J., Zhang G., Li Z.-P., Permuth-Wey J., Challa S., Li Y., Kong W., Dan S., Bui M.M., Coppola D., et al. Long Noncoding RNAs (LncRNA) Regulated by Transforming Growth Factor (TGF) β: LncRNA-hit-mediated TGFβ-induced epithelial to mesenchymal transition in mammary epithelia. J. Biol. Chem. 2015;290:6857-6867.

    Not in our library10.1074/jbc.m114.610915

  50. 50.

    Yu L., Fang F., Lu S., Li X., Yang Y., Wang Z. lncRNA-HIT promotes cell proliferation of non-small cell lung cancer by association with E2F1. Cancer Gene Ther. 2017;24:221-226.

    Not in our library10.1038/cgt.2017.10

  51. 51.

    Mu S., Ai L., Fan F., Sun C., Hu Y. Prognostic and clinicopathological significance of long noncoding RNA HOXA11-AS expression in human solid tumors: A meta-analysis. Cell Int. 2018;18:1.

    Not in our library10.1186/s12935-017-0498-3

  52. 52.

    Li W., Jia G., Qu Y., Du Q., Liu B., Liu B. Long Noncoding RNA (LncRNA) HOXA11-AS Promotes Breast Cancer Invasion and Metastasis by Regulating Epithelial-Mesenchymal Transition. Med. Sci. Monit. 2017;23:3393-3403.

    Not in our library10.12659/msm.904892

  53. 53.

    Chen J.-H., Zhou L.-Y., Xu S., Zheng Y.-L., Wan Y.-F., Hu C.-P. Overexpression of lncRNA HOXA11-AS promotes cell epithelial–mesenchymal transition by repressing miR-200b in non-small cell lung cancer. Cell Int. 2017;17:64.

    Not in our library10.1186/s12935-017-0433-7

  54. 54.

    Wang K.C., Yang Y.W., Liu B., Sanyal A., Corces-Zimmerman R., Chen Y., Lajoie B.R., Protacio A., Flynn R.A., Gupta R.A., et al. A long noncoding RNA maintains active chromatin to coordinate homeotic gene expression. Nature. 2011;472:120-124.

    Not in our library10.1038/nature09819

  55. 55.

    Lin C., Wang Y., Zhang S., Yu L., Guo C., Xu H. Transcriptional and posttranscriptional regulation of HOXA13 by lncRNA HOTTIP facilitates tumorigenesis and metastasis in esophageal squamous carcinoma cells. Oncogene. 2017;36:5392-5406.

    Not in our library10.1038/onc.2017.133

  56. 56.

    Fu Z., Chen C., Zhou Q., Wang Y., Zhao Y., Zhao X., Li W., Zheng S., Ye H., Wang L., et al. LncRNA HOTTIP modulates cancer stem cell properties in human pancreatic cancer by regulating HOXA9. Cancer Lett. 2017;410:68-81.

    Not in our library10.1016/j.canlet.2017.09.019

  57. 57.

    Fujimoto A., Furuta M., Totoki Y., Tsunoda T., Kato M., Shiraishi Y., Tanaka H., Taniguchi H., Kawakami Y., Ueno M., et al. Whole-genome mutational landscape and characterization of noncoding and structural mutations in liver cancer. Nat. Genet. 2016;48:500-509.

    Not in our library10.1038/ng.3547

  58. 58.
  59. 59.
  60. 60.

    Ji P., Diederichs S., Wang W., Böing S., Metzger R., Schneider P.M., Tidow N., Brandt B., Buerger H., Bulk E., et al. MALAT-1, a novel noncoding RNA, and thymosin beta4 predict metastasis and survival in early-stage non-small cell lung cancer. Oncogene. 2003;22:8031-8041.

    Not in our library10.1038/sj.onc.1206928

  61. 61.

    Ning L., Li Z., Wei D., Chen H., Yang C. LncRNA, NEAT1 is a prognosis biomarker and regulates cancer progression via epithelial-mesenchymal transition in clear cell renal cell carcinoma. CBM. 2017;19:75-83.

    Not in our library10.3233/cbm-160376

  62. 62.

    Li W., Zhang Z., Liu X., Cheng X., Zhang Y., Han X., Zhang Y., Liu S., Yang J., Xu B., et al. The FOXN3-NEAT1-SIN3A repressor complex promotes progression of hormonally responsive breast cancer. J. Clin. Investig. 2017;127:3421-3440.

    Not in our library10.1172/jci94233

  63. 63.

    Ying L., Chen Q., Wang Y., Zhou Z., Huang Y., Qiu F. Upregulated MALAT-1 contributes to bladder cancer cell migration by inducing epithelial-to-mesenchymal transition. Mol. Biosyst. 2012;8:2289.

    Not in our library10.1039/c2mb25070e

  64. 64.

    Latorre E., Carelli S., Raimondi I., D’Agostino V., Castiglioni I., Zucal C., Moro G., Luciani A., Ghilardi G., Monti E., et al. The Ribonucleic Complex HuR-MALAT1 Represses CD133 Expression and Suppresses Epithelial-Mesenchymal Transition in Breast Cancer. Cancer Res. 2016;76:2626-2636.

    Not in our library10.1158/0008-5472.can-15-2018

  65. 65.

    Li J., Wang J., Chen Y., Li S., Jin M., Wang H., Chen Z., Yu W. LncRNA MALAT1 exerts oncogenic functions in lung adenocarcinoma by targeting miR-204. Am. J. Cancer Res. 2016;6:1099-1107.

    Not in our library

  66. 66.

    Jin C., Yan B., Lu Q., Lin Y., Ma L. Reciprocal regulation of Hsa-miR-1 and long noncoding RNA MALAT1 promotes triple-negative breast cancer development. Tumor Biol. 2016;37:7383-7394.

    Not in our library10.1007/s13277-015-4605-6

  67. 67.

    Phillips S., Kuperwasser C. SLUG: Critical regulator of epithelial cell identity in breast development and cancer. Cell Adhes. Migr. 2014;8:578-587.

    Not in our library10.4161/19336918.2014.972740

  68. 68.

    Gregory P.A., Bert A.G., Paterson E.L., Barry S.C., Tsykin A., Farshid G., Vadas M.A., Khew-Goodall Y., Goodall G.J. The miR-200 family and miR-205 regulate epithelial to mesenchymal transition by targeting ZEB1 and SIP1. Nature. 2008;10:593-601.

    Not in our library10.1038/ncb1722

  69. 69.

    Wang Y., Wu C., Zhang C., Li Z., Zhu T., Chen J., Ren Y., Wang X., Zhang L., Zhou X. TGF-β-induced STAT3 overexpression promotes human head and neck squamous cell carcinoma invasion and metastasis through malat1/miR-30a interactions. Cancer Lett. 2018;436:52-62.

    Not in our library10.1016/j.canlet.2018.08.009

  70. 70.

    Gordon M.A., Babbs B., Cochrane D.R., Bitler B.G., Richer J.K. The long noncoding RNA MALAT1 promotes ovarian cancer progression by regulating RBFOX2-mediated alternative splicing. Mol. Carcinog. 2019;58:196-205.

    Not in our library10.1002/mc.22919

  71. 71.
  72. 72.

    Liu C., Lin J. Long noncoding RNA ZEB1-AS1 acts as an oncogene in osteosarcoma by epigenetically activating ZEB1. Am. J. Transl. Res. 2016;8:4095-4105.

    Not in our library

  73. 73.

    Li T., Xie J., Shen C., Cheng D., Shi Y., Wu Z., Deng X., Chen H., Shen B., Peng C., et al. Upregulation of long noncoding RNA ZEB1-AS1 promotes tumor metastasis and predicts poor prognosis in hepatocellular carcinoma. Oncogene. 2016;35:1575-1584.

    Not in our library10.1038/onc.2015.223

  74. 74.

    Lv Q.-L., Hu L., Chen S.-H., Sun B., Fu M.-L., Qin C.-Z., Qu Q., Wang G.-H., He C.-J., Zhou H.-H., et al. A Long Noncoding RNA ZEB1-AS1 Promotes Tumorigenesis and Predicts Poor Prognosis in Glioma. Int. J. Mol. Sci. 2016;17:1431.

    Not in our library10.3390/ijms17091431

  75. 75.

    Beltrán M., Puig I., Peña C., García J.M., Álvarez A.B., Peña R., Bonilla F., De Herreros A.G. A natural antisense transcript regulates Zeb2/Sip1 gene expression during Snail1-induced epithelial–mesenchymal transition. Genome Res. 2008;22:756-769.

    Not in our library10.1101/gad.455708

  76. 76.
  77. 77.

    Xue M., Pang H., Li X., Li H., Pan J., Chen W. Long noncoding RNA urothelial cancer-associated 1 promotes bladder cancer cell migration and invasion by way of the hsa-miR-145-ZEB1/2-FSCN1 pathway. Cancer Sci. 2016;107:18-27.

    Not in our library10.1111/cas.12844

  78. 78.
  79. 79.

    Tan J., Qiu K., Li M., Liang Y. Double-negative feedback loop between long non-coding RNA TUG1 and miR-145 promotes epithelial to mesenchymal transition and radioresistance in human bladder cancer cells. FEBS Lett. 2015;589:3175-3181.

    Not in our library10.1016/j.febslet.2015.08.020

  80. 80.

    Wu J., Li W., Ning J., Yu W., Rao T., Cheng F. Long noncoding RNA UCA1 targets miR-582-5p and contributes to the progression and drug resistance of bladder cancer cells through ATG7-mediated autophagy inhibition. OncoTargets Ther. 2019;12:495-508.

    Not in our library10.2147/ott.s183940

  81. 81.

    Niinuma T., Suzuki H., Nojima M., Nosho K., Yamamoto H., Takamaru H., Yamamoto E., Maruyama R., Nobuoka T., Miyazaki Y., et al. Upregulation of miR-196a and HOTAIR Drive Malignant Character in Gastrointestinal Stromal Tumors. Cancer Res. 2012;72:1126-1136.

    Not in our library10.1158/0008-5472.can-11-1803

  82. 82.

    Sørensen K.P., Thomassen M., Tan Q., Bak M., Cold S., Burton M., Larsen M.J., Kruse T.A. Long non-coding RNA HOTAIR is an independent prognostic marker of metastasis in estrogen receptor-positive primary breast cancer. Res. Treat. 2013;142:529-536.

    Not in our library10.1007/s10549-013-2776-7

  83. 83.

    Ge X.-S., Ma H.-J., Zheng X.-H., Ruan H.-L., Liao X.-Y., Xue W.-Q., Chen Y.-B., Zhang Y., Jia W.-H. HOTAIR, a prognostic factor in esophageal squamous cell carcinoma, inhibits WIF-1 expression and activates Wnt pathway. Cancer Sci. 2013;104:1675-1682.

    Not in our library10.1111/cas.12296

  84. 84.

    Zhang H., Cai K., Wang J., Wang X., Cheng K., Shi F., Jiang L., Zhang Y., Dou J. MiR-7, Inhibited Indirectly by LincRNA HOTAIR, Directly Inhibits SETDB1 and Reverses the EMT of Breast Cancer Stem Cells by Downregulating the STAT3 Pathway: MiR-7 Inhibits Metastasis of Breast Cancer Stem Cells. Stem Cells. 2014;32:2858-2868.

    Not in our library10.1002/stem.1795

  85. 85.

    Lee M., Kim H.J., Kim S.W., Park S.-A., Chun K.-H., Cho N.H., Song Y.S., Kim Y.T. The long non-coding RNA HOTAIR increases tumour growth and invasion in cervical cancer by targeting the Notch pathway. Oncotarget. 2016;7:44558-44571.

    Not in our library10.18632/oncotarget.10065

  86. 86.

    Song Y., Wang R., Li L.-W., Liu X., Wang Y.-F., Wang Q.-X., Zhang Q. Long non-coding RNA HOTAIR mediates the switching of histone H3 lysine 27 acetylation to methylation to promote epithelial-to-mesenchymal transition in gastric cancer. Int. J. Oncol. 2018;54:77-86.

    Not in our library10.3892/ijo.2018.4625

  87. 87.
  88. 88.

    Ramnarine V.R., Alshalalfa M., Mo F., Nabavi N., Erho N., Takhar M., Shukin R., Brahmbhatt S., Gawronski A., Kobelev M., et al. The long noncoding RNA landscape of neuroendocrine prostate cancer and its clinical implications. GigaScience. 2018;7:7.

    Not in our library10.1093/gigascience/giy050

  89. 89.

    Gao H., Hao G., Sun Y., Li L., Wang Y. Long noncoding RNA H19 mediated the chemosensitivity of breast cancer cells via Wnt pathway and EMT process. OncoTargets Ther. 2018;11:8001-8012.

    Not in our library10.2147/ott.s172379

  90. 90.

    Rokavec M., Hermeking H., Horst D. Cellular Model of Colon Cancer Progression Reveals Signatures of mRNAs, miRNA, lncRNAs, and Epigenetic Modifications Associated with Metastasis. Cancer Res. 2017;77:1854-1867.

    Not in our library10.1158/0008-5472.can-16-3236

  91. 91.
  92. 92.

    Liu G., Xiang T., Wu Q.-F., Wang W.-X. Long Noncoding RNA H19-Derived miR-675 Enhances Proliferation and Invasion via RUNX1 in Gastric Cancer Cells. Oncol. Res. Featur. Preclin. Clin. Cancer Ther. 2016;23:99-107.

    Not in our library10.3727/096504015x14496932933575

  93. 93.

    Cai X., Cullen B.R. The imprinted H19 noncoding RNA is a primary microRNA precursor. RNA. 2007;13:313-316.3.

    Not in our library10.1261/rna.351707

  94. 94.

    Tsang W.P., Ng E.K.O., Ng S.S.M., Jin H., Yu J., Sung J.J.Y., Kwok T.T. Oncofetal H19-derived miR-675 regulates tumor suppressor RB in human colorectal cancer. Carcinogenesis. 2010;31:350-358.

    Not in our library10.1093/carcin/bgp181

  95. 95.

    Loewer S., Cabili M.N., Guttman M., Loh Y.-H., Thomas K., Park I.H., Garber M., Curran M., Onder T., Agarwal S., et al. Large intergenic non-coding RNA-RoR modulates reprogramming of human induced pluripotent stem cells. Nat. Genet. 2010;42:1113-1117.

    Not in our library10.1038/ng.710

  96. 96.

    Eades G., Wolfson B., Zhang Y., Li Q., Yao Y., Zhou Q. lincRNA-RoR and miR-145 Regulate Invasion in Triple-Negative Breast Cancer via Targeting ARF6. Mol. Cancer Res. 2015;13:330-338.

    Not in our library10.1158/1541-7786.mcr-14-0251

  97. 97.

    Hou P., Zhao Y., Li Z., Yao R., Ma M., Gao Y., Zhao L., Zhang Y., Huang B., Lü J. LincRNA-ROR induces epithelial-to-mesenchymal transition and contributes to breast cancer tumorigenesis and metastasis. Cell Death Dis. 2014;5:e1287.

    Not in our library10.1038/cddis.2014.249

  98. 98.

    Pan Y., Li C., Chen J., Zhang K., Chu X., Wang R., Chen L. The Emerging Roles of Long Noncoding RNA ROR (lincRNA-ROR) and its Possible Mechanisms in Human Cancers. Cell. Physiol. Biochem. 2016;40:219-229.

    Not in our library10.1159/000452539

  99. 99.

    Grelet S., Link L.A., Howley B., Obellianne C., Palanisamy V., Gangaraju V.K., Diehl J.A., Howe P.H. Addendum: A regulated PNUTS mRNA to lncRNA splice switch mediates EMT and tumour progression. Nature. 2017;19:1443.

    Not in our library10.1038/ncb3647

  100. 100.

    Qian J., Hao Y., Huang G., Yan X., Zhang D., Wu W., Zhu P., Liu X., Chen X., Du Y., et al. Mesenchymal Stem Cells Promote Hepatocarcinogenesis via lncRNA–MUF Interaction with ANXA2 and miR-34a. Cancer Res. 2017;77:6704-6716.

    Not in our library10.1158/0008-5472.can-17-1915

  101. 101.

    Luo C., Tao Y., Zhang Y., Zhu Y., Minyao D.N., Haleem M., Dong C., Zhang L., Zhang X., Zhao J., et al. Regulatory network analysis of high expressed long non-coding RNA LINC00941 in gastric cancer. Gene. 2018;662:103-109.

    Not in our library10.1016/j.gene.2018.04.023

  102. 102.

    Yang F., Huo X.-S., Yuan S.-X., Zhang L., Zhou W.-P., Wang F., Sun S.-H. Repression of the Long Noncoding RNA-LET by Histone Deacetylase 3 Contributes to Hypoxia-Mediated Metastasis. Mol. Cell. 2013;49:1083-1096.

    Not in our library10.1016/j.molcel.2013.01.010

  103. 103.

    Sun Q., Liu H., Li L., Zhang S., Liu K., Liu Y., Yang C. Long noncoding RNA-LET, which is repressed by EZH2, inhibits cell proliferation and induces apoptosis of nasopharyngeal carcinoma cell. Med. Oncol. 2015;32:32.

    Not in our library10.1007/s12032-015-0673-0

  104. 104.

    Ye K., Wang S., Zhang H., Han H., Ma B., Nan W. Long Noncoding RNA GAS5 Suppresses Cell Growth and Epithelial-Mesenchymal Transition in Osteosarcoma by Regulating the miR-221/ARHI Pathway. J. Cell. Biochem. 2017;118:4772-4781.

    Not in our library10.1002/jcb.26145

  105. 105.
  106. 106.

    Wu Y., Lyu H., Liu H., Shi X., Song Y., Liu B. Downregulation of the long noncoding RNA GAS5-AS1 contributes to tumor metastasis in non-small cell lung cancer. Sci. Rep. 2016;6:31093.

    Not in our library10.1038/srep31093

  107. 107.

    Hao Y., Yang X., Zhang D., Luo J., Chen R. Long noncoding RNA LINC01186, regulated by TGF-β/SMAD3, inhibits migration and invasion through Epithelial-Mesenchymal-Transition in lung cancer. Gene. 2017;608:1-12.

    Not in our library10.1016/j.gene.2017.01.023

  108. 108.

    Wang N., Duan H., Zhang C., Zhou Y., Gao R. The LINC01186 suppresses cell proliferation and invasion ability in papillary thyroid carcinoma. Oncol. Lett. 2018;16:5639-5644.

    Not in our library10.3892/ol.2018.9349

  109. 109.

    Lv D., Wang Y., Zhang Y., Cui P., Xu Y. Downregulated long non-coding RNA DREH promotes cell proliferation in hepatitis B virus-associated hepatocellular carcinoma. Oncol. Lett. 2017;14:2025-2032.

    Not in our library10.3892/ol.2017.6436

  110. 110.

    Huang J.-F., Guo Y.-J., Zhao C.-X., Yuan S.-X., Wang Y., Tang G.-N., Zhou W.-P., Sun S.-H. Hepatitis B virus X protein (HBx)-related long noncoding RNA (lncRNA) down-regulated expression by HBx (Dreh) inhibits hepatocellular carcinoma metastasis by targeting the intermediate filament protein vimentin. Hepatology. 2013;57:1882-1892.

    Not in our library10.1002/hep.26195

  111. 111.

    Wang Y., Liu Z., Yao B., Dou C., Xu M., Xue Y., Ding L., Jia Y., Zhang H., Li Q., et al. Long non-coding RNA TUSC7 acts a molecular sponge for miR-10a and suppresses EMT in hepatocellular carcinoma. Tumor Biol. 2016;37:11429-11441.

    Not in our library10.1007/s13277-016-4892-6

  112. 112.

    Wang Z., Jin Y., Ren H., Ma X., Wang B., Wang Y. Downregulation of the long non-coding RNA TUSC7 promotes NSCLC cell proliferation and correlates with poor prognosis. Am. J. Transl. Res. 2016;8:680-687.

    Not in our library

  113. 113.

    Yue L., Guo J. LncRNA TUSC7 suppresses pancreatic carcinoma progression by modulating miR-371a-5p expression. J. Cell. Physiol. 2019.

    Not in our library10.1002/jcp.28248

  114. 114.

    Xu J., Zhang R., Zhao J. The Novel Long Noncoding RNA TUSC7 Inhibits Proliferation by Sponging MiR-211 in Colorectal Cancer. Cell. Physiol. Biochem. 2017;41:635-644.

    Not in our library10.1159/000457938

  115. 115.

    Han Y., Ye J., Wu D., Wu P., Chen Z., Chen J., Gao S., Huang J. LEIGClong noncoding RNA acts as a tumor suppressor in gastric carcinoma by inhibiting the epithelial-to-mesenchymal transition. BMC Cancer. 2014;14:932.

    Not in our library10.1186/1471-2407-14-932

  116. 116.
  117. 117.

    Cheng Y., Chang Q., Zheng B., Xu J., Li H., Wang R. LncRNA XIST promotes the epithelial to mesenchymal transition of retinoblastoma via sponging miR-101. Eur. J. Pharmacol. 2019;843:210-216.

    Not in our library10.1016/j.ejphar.2018.11.028

  118. 118.

    Zheng R., Lin S., Guan L., Yuan H., Liu K., Liu C., Ye W., Liao Y., Jia J., Zhang R. Long non-coding RNA XIST inhibited breast cancer cell growth, migration, and invasion via miR-155/CDX1 axis. Biochem. Biophys. Res. Commun. 2018;498:1002-1008.

    Not in our library10.1016/j.bbrc.2018.03.104

  119. 119.

    Du Y., Weng X.-D., Wang L., Liu X.-H., Zhu H.-C., Guo J., Ning J.-Z., Xiao C.-C. LncRNA XIST acts as a tumor suppressor in prostate cancer through sponging miR-23a to modulate RKIP expression. Oncotarget. 2017;8:94358-94370.

    Not in our library10.18632/oncotarget.21719

  120. 120.

    Chen X., Xiong D., Yang H., Ye L., Mei S., Wu J., Chen S., Shang X., Wang K., Huang L. Long noncoding RNA OPA-interacting protein 5 antisense transcript 1 upregulated SMAD3 expression to contribute to metastasis of cervical cancer by sponging miR-143-3p. J. Cell. Physiol. 2019;234:5264-5275.

    Not in our library10.1002/jcp.27336

  121. 121.

    Zhang Z., Liu F., Yang F., Liu Y. Kockdown of OIP5-AS1 expression inhibits proliferation, metastasis and EMT progress in hepatoblastoma cells through up-regulating miR-186a-5p and down-regulating ZEB1. Biomed. Pharmacother. 2018;101:14-23.

    Not in our library10.1016/j.biopha.2018.02.026

  122. 122.
  123. 123.

    Ru N., Liang J., Zhang F., Wu W., Wang F., Liu X., Du Y. SPRY4 Intronic Transcript 1 Promotes Epithelial–Mesenchymal Transition Through Association with Snail1 in Osteosarcoma. DNA Cell Biol. 2016;35:290-295.

    Not in our library10.1089/dna.2016.3226

  124. 124.

    Liu H., Lv Z., Guo E. Knockdown of long noncoding RNA SPRY4-IT1 suppresses glioma cell proliferation, metastasis and epithelial-mesenchymal transition. Int. J. Clin. Exp. Pathol. 2015;8:9140-9146.

    Not in our library

  125. 125.
  126. 126.

    Xu W., He L., Li Y., Tan Y., Zhang F., Xu H. Silencing of lncRNA ZFAS1 inhibits malignancies by blocking Wnt/β-catenin signaling in gastric cancer cells. Biosci. Biotechnol. Biochem. 2018;82:456-465.

    Not in our library10.1080/09168451.2018.1431518

  127. 127.

    Li T., Xie J., Shen C., Cheng D., Shi Y., Wu Z., Deng X., Chen H., Shen B., Peng C., et al. Amplification of Long Noncoding RNA ZFAS1 Promotes Metastasis in Hepatocellular Carcinoma. Cancer Res. 2015;75:3181-3191.

    Not in our library10.1158/0008-5472.can-14-3721

  128. 128.

    Wang T., Ma S., Qi X., Tang X., Cui D., Wang Z., Chi J., Li P., Zhai B. Long noncoding RNA ZNFX1-AS1 suppresses growth of hepatocellular carcinoma cells by regulating the methylation of miR-9. OncoTargets Ther. 2016;9:5005-5014.

    Not in our library10.2147/ott.s103329

  129. 129.

    Fan S., Fan C., Liu N., Huang K., Fang X., Wang K. Downregulation of the long non-coding RNA ZFAS1 is associated with cell proliferation, migration and invasion in breast cancer. Mol. Med. Rep. 2018;17:6405-6412.

    Not in our library10.3892/mmr.2018.8707

  130. 130.

    Zhang C., Hao Y., Wang Y., Xu J., Teng Y., Yang X. TGF-β/SMAD4-Regulated LncRNA-LINP1 Inhibits Epithelial-Mesenchymal Transition in Lung Cancer. Int. J. Biol. Sci. 2018;14:1715-1723.

    Not in our library10.7150/ijbs.27197

  131. 131.

    Zhang Y., He Q., Hu Z., Feng Y., Fan L., Tang Z., Yuan J., Shan W., Li C., Hu X., et al. Long noncoding RNA LINP1 regulates repair of DNA double-strand breaks in triple-negative breast cancer. Nat. Struct. Mol. Biol. 2016;23:522-530.

    Not in our library10.1038/nsmb.3211

  132. 132.

    Terashima M., Tange S., Ishimura A., Suzuki T. MEG3 Long Noncoding RNA Contributes to the Epigenetic Regulation of Epithelial-Mesenchymal Transition in Lung Cancer Cell Lines. J. Biol. Chem. 2017;292:82-99.

    Not in our library10.1074/jbc.m116.750950

  133. 133.

    Xu G., Meng L., Yuan D., Li K., Zhang Y., Dang C., Zhu K. MEG3/miR-21 axis affects cell mobility by suppressing epithelial-mesenchymal transition in gastric cancer. Oncol. Rep. 2018;40:39-48.

    Not in our library10.3892/or.2018.6424

  134. 134.

    Dong X., Wang J., Li T., Xu Y.-P., Li S.-Y. Down regulation of lncRNA MEG3 promotes colorectal adenocarcinoma cell proliferation and inhibits the apoptosis by upregulating TGF-β1 and its downstream sphingosine kinase 1. Eur. Rev. Med. Pharmacol. Sci. 2018;22:8265-8272.

    Not in our library10.26355/eurrev_201812_16522

  135. 135.

    Li J., Ying Y., Xie H., Jin K., Yan H., Wang S., Xu M., Xu X., Wang X., Yang K., et al. Dual regulatory role of CCNA2 in modulating CDK6 and MET-mediated cell-cycle pathway and EMT progression is blocked by miR-381-3p in bladder cancer. FASEB J. 2019;33:1374-1388.

    Not in our library10.1096/fj.201800667r

  136. 136.

    Flockhart R.J., Webster D.E., Qu K., Mascarenhas N., Kovalski J., Kretz M., Khavari P.A. BRAF V600E remodels the melanocyte transcriptome and induces BANCR to regulate melanoma cell migration. Genome Res. 2012;22:1006-1014.

    Not in our library10.1101/gr.140061.112

  137. 137.

    Guo Q., Zhao Y., Chen J., Hu J., Wang S., Zhang D., Sun Y. BRAF-activated long non-coding RNA contributes to colorectal cancer migration by inducing epithelial-mesenchymal transition. Oncol. Lett. 2014;8:869-875.

    Not in our library10.3892/ol.2014.2154

  138. 138.

    Wang Y., Gu J., Lin X., Yan W., Yang W., Wu G. lncRNA BANCR promotes EMT in PTC via the Raf/MEK/ERK signaling pathway. Oncol. Lett. 2018;15:5865-5870.

    Not in our library10.3892/ol.2018.8017

  139. 139.

    Lou K.-X., Li Z.-H., Wang P., Liu Z., Chen Y., Wang X.-L., Cui H.-X. Long non-coding RNA BANCR indicates poor prognosis for breast cancer and promotes cell proliferation and invasion. Eur. Rev. Med. Pharmacol. Sci. 2018;22:1358-1365.

    Not in our library10.26355/eurrev_201803_14479

  140. 140.
  141. 141.

    Cao D., Ding Q., Yu W., Gao M., Wang Y.-L. Long noncoding RNA SPRY4-IT1 promotes malignant development of colorectal cancer by targeting epithelial–mesenchymal transition. OncoTargets Ther. 2016;9:5417-5425.

    Not in our library10.2147/ott.s111794

  142. 142.

    Melé M., Mattioli K., Mallard W., Shechner D.M., Gerhardinger C., Rinn J.L. Chromatin Environment, Transcriptional Regulation, and Splicing Distinguish LincRNAs and MRNAs. Genome Res. 2017;27:27-37.

    Not in our library10.1101/gr.214205.116

  143. 143.

    Ransohoff J.D., Wei Y., Khavari P.A. The functions and unique features of long intergenic noncoding RNA. Nat. Rev. Mol. Cell Biol. 2018;19:143-157.

    Not in our library10.1038/nrm.2017.104

  144. 144.

    Zeng C., Yu X., Lai J., Yang L., Chen S., Li Y. Overexpression of the long non-coding RNA PVT1 is correlated with leukemic cell proliferation in acute promyelocytic leukemia. J. Hematol. Oncol. 2015;8:126.

    Not in our library10.1186/s13045-015-0223-4

  145. 145.

    El-Khazragy N., Elayat W., Matbouly S., Seliman S., Sami A., Safwat G., Diab A. The prognostic significance of the long noncoding RNAs “CCAT1, PVT1” in t(8;21) associated Acute Myeloid Leukemia. Gene. 2019.

    Not in our library10.1016/j.gene.2019.03.055

  146. 146.

    Mohamed W.A., Schaalan M.F., Ramadan B. The expression profiling of circulating miR-204, miR-182, and lncRNA H19 as novel potential biomarkers for the progression of peptic ulcer to gastric cancer. J. Cell. Biochem. 2019.

    Not in our library10.1002/jcb.28620

  147. 147.

    Wang J., Yang K., Yuan W., Gao Z. Determination of Serum Exosomal H19 as a Noninvasive Biomarker for Bladder Cancer Diagnosis and Prognosis. Med. Sci. Monit. 2018;24:9307-9316.

    Not in our library10.12659/msm.912018

  148. 148.

    Pan Y., Chen H., Shen X., Wang X., Ju S., Lu M., Cong H. Serum level of long noncoding RNA H19 as a diagnostic biomarker of multiple myeloma. Clin. Chim. Acta. 2018;480:199-205.

    Not in our library10.1016/j.cca.2018.02.019

  149. 149.

    Liu Y., He A., Liu B., Huang Z., Mei H. Potential Role of lncRNA H19 as a Cancer Biomarker in Human Cancers Detection and Diagnosis: A Pooled Analysis Based on 1585 Subjects. BioMed Res. Int. 2019;2019:1-11.

    Not in our library10.1155/2019/9056458

  150. 150.

    Khurana E., Fu Y., Colonna V., Mu X.J., Kang H.M., Lappalainen T., Sboner A., Lochovsky L., Chen J., Harmanci A., et al. Integrative Annotation of Variants from 1092 Humans: Application to Cancer Genomics. Science. 2013;342:1235587.

    Not in our library10.1126/science.1235587

  151. 151.

    Maurano M.T., Humbert R., Rynes E., Thurman R.E., Haugen E., Wang H., Reynolds A.P., Sandstrom R., Qu H., Brody J., et al. Systematic Localization of Common Disease-Associated Variation in Regulatory DNA. Science. 2012;337:1190-1195.

    Not in our library10.1126/science.1222794

  152. 152.

    Van Grembergen O., Bizet M., De Bony E.J., Calonne E., Putmans P., Brohée S., Olsen C., Guo M., Bontempi G., Sotiriou C., et al. Portraying breast cancers with long noncoding RNAs. Sci. Adv. 2016;2:e1600220.

    Not in our library10.1126/sciadv.1600220

  153. 153.
  154. 154.
  155. 155.

    Zuo X.-L., Cai J., Chen Z.-Q., Zhang Y., Liang L.-H., Wang J.-F., Wang J.-G., Wu J., Mao J.-D. The utility of long non-coding RNA ZEB1-AS1 as a prognostic biomarker in human solid tumors: A meta-analysis. Clin. Chim. 2018;485:14-20.

    Not in our library10.1016/j.cca.2018.06.018

  156. 156.
  157. 157.

    Dong L., Qi P., Xu M.-D., Ni S.-J., Huang D., Xu Q.-H., Weng W.-W., Tan C., Sheng W.-Q., Zhou X.-Y., et al. Circulating CUDR, LSINCT-5 and PTENP1 long noncoding RNAs in sera distinguish patients with gastric cancer from healthy controls: Serum lncRNAs in gastric cancer patients. Int. J. Cancer. 2015;137:1128-1135.

    Not in our library10.1002/ijc.29484

  158. 158.
  159. 159.

    Arun G., Diermeier S.D., Spector D.L. Therapeutic Targeting of Long Non-Coding RNAs in Cancer. Mol. Med. 2018;24:257-277.

    Not in our library10.1016/j.molmed.2018.01.001

  160. 160.

    Brummelkamp T.R. A System for Stable Expression of Short Interfering RNAs in Mammalian Cells. Science. 2002;296:550-553.

    Not in our library10.1126/science.1068999

  161. 161.

    Dorsett Y., Tuschl T. siRNAs: Applications in functional genomics and potential as therapeutics. Nat. Rev. Drug Discov. 2004;3:318-329.

    Not in our library10.1038/nrd1345

  162. 162.

    Burnett J.C., Rossi J.J., Tiemann K. Current Progress of siRNA/shRNA Therapeutics in Clinical Trials. Biotechnol. J. 2011;6:1130-1146.

    Not in our library10.1002/biot.201100054

  163. 163.

    Crooke S. Antisense Drug Technology: Principles, Strategies, and Applications. 2007.

    Not in our library

  164. 164.

    Watts J.K., Corey D.R. Silencing disease genes in the laboratory and the clinic. J. Pathol. 2012;226:365-379.

    Not in our library10.1002/path.2993

  165. 165.

    Hong D., Kurzrock R., Kim Y., Woessner R., Younes A., Nemunaitis J., Fowler N., Zhou T., Schmidt J., Jo M., et al. AZD9150, a Next-Generation Antisense Oligonucleotide Inhibitor of STAT3 with Early Evidence of Clinical Activity in Lymphoma and Lung Cancer. Sci. Transl. Med. 2015;7:314ra185.

    Not in our library10.1126/scitranslmed.aac5272

  166. 166.

    Duffy A.G., Makarova-Rusher O.V., Ulahannan S.V., Rahma O.E., Fioravanti S., Walker M., Abdullah S., Raffeld M., Anderson V., Abi-Jaoudeh N., et al. Modulation of tumor eIF4E by antisense inhibition: A phase I/II translational clinical trial of ISIS 183750-an antisense oligonucleotide against eIF4E-in combination with irinotecan in solid tumors and irinotecan-refractory colorectal cancer: Modulation of Tumor eIF4E by Antisense Inhibition. Int. J. Cancer. 2016;139:1648-1657.

    Not in our library10.1002/ijc.30199

  167. 167.

    Pandey S.K., Wheeler T.M., Justice S.L., Kim A., Younis H.S., Gattis D., Jauvin D., Puymirat J., Swayze E.E., Freier S.M., et al. Identification and Characterization of Modified Antisense Oligonucleotides Targeting DMPK in Mice and Nonhuman Primates for the Treatment of Myotonic Dystrophy Type 1. J. Pharmacol. Exp. Ther. 2015;355:329-340.

    Not in our library10.1124/jpet.115.226969

  168. 168.

    Yamamoto Y., Loriot Y., Beraldi E., Zhang F., Wyatt A.W., Al Nakouzi N., Mo F., Zhou T., Kim Y., Monia B.P., et al. Generation 2.5 Antisense Oligonucleotides Targeting the Androgen Receptor and Its Splice Variants Suppress Enzalutamide-Resistant Prostate Cancer Cell Growth. Clin. Res. 2015;21:1675-1687.

    Not in our library10.1158/1078-0432.ccr-14-1108

  169. 169.

    Faghihi M.A., Wahlestedt C. Regulatory roles of natural antisense transcripts. Nat. Rev. Mol. Cell Biol. 2009;10:637-643.

    Not in our library10.1038/nrm2738

  170. 170.

    Napoli S., Piccinelli V., Mapelli S.N., Pisignano G., Catapano C.V. Natural antisense transcripts drive a regulatory cascade controlling c-MYC transcription. RNA Biol. 2017;14:1742-1755.

    Not in our library10.1080/15476286.2017.1356564

  171. 171.

    Modarresi F., Faghihi M.A., Lopez-Toledano M.A., Fatemi R.P., Magistri M., Brothers S.P., van der Brug M.P., Wahlestedt C. Inhibition of natural antisense transcripts in vivo results in gene-specific transcriptional upregulation. Nat. Biotechnol. 2012;30:453-459.

    Not in our library10.1038/nbt.2158

  172. 172.

    Nasevicius A., Ekker S.C. Effective targeted gene ‘knockdown’ in zebrafish. Nat. Genet. 2000;26:216-220.

    Not in our library10.1038/79951

  173. 173.
  174. 174.

    Alter J., Lou F., Rabinowitz A., Yin H., Rosenfeld J., Wilton S.D., Partridge T., Lu Q.L. Systemic delivery of morpholino oligonucleotide restores dystrophin expression bodywide and improves dystrophic pathology. Nat. Med. 2006;12:175-177.

    Not in our library10.1038/nm1345

  175. 175.

    Tuerk C., Gold L. Systematic evolution of ligands by exponential enrichment: RNA ligands to bacteriophage T4 DNA polymerase. Science. 1990;249:505-510.

    Not in our library10.1126/science.2200121

  176. 176.

    Zeng Z., Parekh P., Li Z., Shi Z.-Z., Tung C.-H., Zu Y. Specific and Sensitive Tumor Imaging Using Biostable Oligonucleotide Aptamer Probes. Theranostics. 2014;4:945-952.

    Not in our library10.7150/thno.9246

  177. 177.

    Bouvier-Müller A., Ducongé F. Application of aptamers for in vivo molecular imaging and theranostics. Adv. Drug Deliv. Rev. 2018;134:94-106.

    Not in our library10.1016/j.addr.2018.08.004

  178. 178.

    Ashrafuzzaman M. Aptamers as both drugs and drug-carriers. BioMed Res. Int. 2014;2014:697923.

    Not in our library10.1155/2014/697923

  179. 179.

    Fan X., Guo Y., Wang L., Xiong X., Zhu L., Fang K. Diagnosis of prostate cancer using anti-PSMA aptamer A10-3.2-oriented lipid nanobubbles. Int. J. Nanomed. 2016;11:3939-3950.

    Not in our library10.2147/ijn.s112951

  180. 180.

    Vinores S. Pegaptanib in the treatment of wet, age-related macular degeneration. Int. J. Nanomed. 2006;1:263-268.

    Not in our library

  181. 181.

    Maimaitiyiming Y., Hong D.F., Yang C., Naranmandura H. Novel insights into the role of aptamers in the fight against cancer. J. Cancer Res. Clin. Oncol. 2019;145:797-810.

    Not in our library10.1007/s00432-019-02882-7

  182. 182.

    Khedri M., Rafatpanah H., Abnous K., Ramezani P., Ramezani M. Cancer immunotherapy via nucleic acid aptamers. Int. Immunopharmacol. 2015;29:926-936.

    Not in our library10.1016/j.intimp.2015.10.013

  183. 183.

    Soldevilla M.M., Villanueva H., Pastor F. Aptamers: A Feasible Technology in Cancer Immunotherapy. J. Immunol. Res. 2016;2016:1-12.

    Not in our library10.1155/2016/1083738

  184. 184.

    Pastor F., Berraondo P., Etxeberria I., Frederick J., Sahin U., Gilboa E., Melero I. An RNA toolbox for cancer immunotherapy. Nat. Rev. Drug Discov. 2018;17:751.

    Not in our library10.1038/nrd.2018.132

  185. 185.

    Liu S.J., Horlbeck M.A., Cho S.W., Birk H.S., Malatesta M., He D., Attenello F.J., Villalta J.E., Cho M.Y., Chen Y., et al. CRISPRi-based genome-scale identification of functional long noncoding RNA loci in human cells. Science. 2017;355:eaah7111.

    Not in our library10.1126/science.aah7111

  186. 186.

    Abudayyeh O.O., Gootenberg J.S., Konermann S., Joung J., Slaymaker I.M., Cox D.B.T., Shmakov S., Makarova K.S., Semenova E., Minakhin L., et al. C2c2 is a single-component programmable RNA-guided RNA-targeting CRISPR effector. Science. 2016;353:aaf5573.

    Not in our library10.1126/science.aaf5573

  187. 187.

    Song C.-Q., Xue W. CRISPR–Cas-related technologies in basic and translational liver research. Nat. Rev. Gastroenterol. Hepatol. 2018;15:251-252.

    Not in our library10.1038/nrgastro.2018.11

  188. 188.

    Savić N., Schwank G. Advances in therapeutic CRISPR/Cas9 genome editing. Transl. Res. 2016;168:15-21.

    Not in our library10.1016/j.trsl.2015.09.008

  189. 189.

    Pegueroles C., Gabaldón T. Secondary structure impacts patterns of selection in human lncRNAs. BMC Biol. 2016;14:60.

    Not in our library10.1186/s12915-016-0283-0

  190. 190.

    Brown J., Bulkley D., Wang J., Valenstein M.L., Yario T., Steitz T., Steitz J. Structural insights into the stabilization of MALAT1 noncoding RNA by a bipartite triple helix. Nat. Struct. Mol. Biol. 2014;21:633-640.

    Not in our library10.1038/nsmb.2844

  191. 191.

    Mendell J.T. Targeting a Long Noncoding RNA in Breast Cancer. N. Engl. J. Med. 2016;374:2287-2289.

    Not in our library10.1056/nejmcibr1603785

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