lncRNAs In Human Cancer Research Articles

Long non-coding RNAs in cancer: multifaceted roles and potential targets for immunotherapy.

Cancer remains a major global health concern with high mortality rates mainly due to late diagnosis and poor prognosis. Long non-coding RNAs (lncRNAs) are emerging as key regulators of gene expression in human cancer, functioning through various mechanisms including as competing endogenous RNAs (ceRNAs) and indirectly regulating miRNA expression. LncRNAs have been found to have both oncogenic and tumor-suppressive roles in cancer, with the former promoting cancer cell proliferation, migration, invasion, and poor prognosis. Recent research has shown that lncRNAs are expressed in various immune cells and are involved in cancer cell immune escape and the modulation of the tumor microenvironment, thus highlighting their potential as targets for cancer immunotherapy. Targeting lncRNAs in cancer or immune cells could enhance the anti-tumor immune response and improve cancer immunotherapy outcomes. However, further research is required to fully understand the functional roles of lncRNAs in cancer and the immune system and their potential as targets for cancer immunotherapy. This review offers a comprehensive examination of the multifaceted roles of lncRNAs in human cancers, with a focus on their potential as targets for cancer immunotherapy. By exploring the intricate mechanisms underlying lncRNA-mediated regulation of cancer cell proliferation, invasion, and immune evasion, we provide insights into the diverse therapeutic applications of these molecules.

Current concepts of the crosstalk between lncRNA and E2F1: shedding light on the cancer therapy.

Long noncoding RNAs (lncRNAs) constitute a distinctive subset of RNA molecules with limited protein-coding potential, which exert crucial impacts on various biological activities. In the context of cancer, dysregulated lncRNAs function as essential regulators that affect tumor initiation and malignant progression. These lncRNAs serve as competitive endogenous RNAs (ceRNAs) through sponging microRNAs and regulating the expression of targeted genes. Moreover, they also directly bind to RNA-binding proteins, which can be integrated into a complex mechanistic network. E2F1, an extensively studied transcription factor, mediates multiple malignant behaviors by regulating cell cycle progression, tumor metastasis, and therapeutic response. Emerging evidence suggests that lncRNAs play a pivotal role in regulating the E2F1 pathway. This review aims to elucidate the intricate gene regulatory programs between lncRNAs and E2F1 in cancer progression. We elaborate on distinct mechanistic networks involved in cancer progression, emphasizing the potential of the lncRNAs/E2F1 axes as promising targets for cancer therapy. Additionally, we provide novel perspectives on current evidence, limitations, and future directions for targeting lncRNAs in human cancers. Fully deciphering the intricate network of lncRNA/E2F1-mediated regulatory mechanisms in cancer could facilitate the translation of current findings into clinical course, such efforts ultimately significantly improve the clinical prognosis of cancer patients.

LncRNAs in human cancers: signal from noise.

Given the biochemical reaction stochasticity, the mechanisms leading to conservation of biological functions from noise are obscure. Pervasive transcription of nonconserved genomic regions generates lowly expressed cancer-specific long noncoding RNAs (lncRNAs). How such poorly expressed transcripts, often undetectable in normal tissues, consistently modulate the activity of multiple abundant proteins leading to cancer phenotypes is unclear. Biochemical reaction compartmentalisation in response to environmental oscillations through liquid-liquid phase separation (LLPS) may explain the emergence of order from molecular noise. LncRNAs contain repetitive sequences and as such contribute to molecular crowding and LLPS. We propose that lncRNAs mediate cancer stress signals by regulating aberrant LLPS. This emerging model and its consequences for stoichiometry and specificity may lead to the development of diagnostic tools and cancer-specific drugs.

LINC01426 Triggers Growth and Metastasis of Lung Adenocarcinoma as a Prognostic Indicator

The vital regulation of abnormally expressed lncRNAs in human cancers has been identified. This study is aimed at illustrating the role of LINC01426 in influencing malignant behaviors of lung adenocarcinoma (LUAD) and the possible mechanism. Differential expressions of LINC01426 in a downloaded profile containing LUAD and normal tissues were analyzed using Gene Expression Profiling Interactive Analysis (GEPIA) database and were reconfirmed in clinical samples collected in our hospital. In addition, LINC01426 level in lung carcinoma cell lines was detected by quantitative real-time polymerase chain reaction (qRT-PCR) as well. The relationship between LINC01426 expression and the age, tumor node metastasis (TNM) staging, lymphatic metastasis, tumor differentiation, and overall survival of LUAD was analyzed. After intervening LINC01426 level in H1299 and PC9 cells, proliferative and metastatic changes were assessed by functional experiments. LINC01426 was upregulated in LUAD tissues and cell lines. Its level was closely linked to TNM staging, lymphatic metastasis, tumor differentiation, and overall survival of LUAD. Knockdown of LINC01426 suppressed proliferative and metastatic abilities in H1299 and PC9 cells. LINC01246 is upregulated in LUAD samples and predicts a poor prognosis. It drives malignant process of LUAD via stimulating proliferative and metastatic abilities.

Human satellite III long noncoding RNA imparts survival benefits to cancer cells.

Long noncoding RNAs (lncRNAs) are heterogeneous group of transcripts that lack coding potential and have essential roles in gene regulations. Recent days have seen an increasing association of noncoding RNAs with human diseases, especially cancers. One interesting group of noncoding RNAs strongly linked to cancers are heterochromatic repetitive Satellite RNAs. Satellite RNAs are transcribed from pericentromeric heterochromatic region of the human chromosomes. Satellite II RNA, most extensively studied, is upregulated in wide variety of epithelial cancer. Similarly, alpha satellite is over expressed in BRCA1-deficient tumors. Though much is known about alpha satellites and SatII repeats, little is known about Satellite III (SatIII) lncRNAs in human cancers. SatIII repeats, though transcriptionally silent in normal conditions is actively transcribed under condition of stress, mainly heat shock. In this study, we show that colon and breast cancer cells aberrantly transcribes SatIII, in a heat shock factor I (HSF1)-independent manner. Our study also reveals that, the overexpression of SatIII RNA favors cancer cell survival by overriding chemo drug-induced cell death. Interestingly, knockdown of SatIII sensitizes cells toward chemotherapeutic drugs. This sensitization is possibly mediated by restoration of p53 protein expression that facilitates cell death. Heat shock however helps SatIII to continue with its pro-cell survival function. Our results, therefore suggest SatIII to be an important regulator of human cancers. Induction of SatIII is not only a response to the oncogenic stress but also facilitates cancer progression by a distinct pathway that is different from heat stress pathway.

Zebrafish xenograft model for studying the function of lncRNA SNHG4 in the proliferation and migration of colorectal cancer.

The zebrafish xenograft model has become a reliable in vivo model for human cancer research. Compared to a mouse model, the zebrafish xenograft has many advantages, including optical transparency, intuitive in vivo observation, and speed. Long noncoding RNAs (lncRNAs) have been identified as crucial regulatory factors in the progression of colorectal cancer (CRC). The biological function of lncRNA small nucleolar RNA host gene 4 (SNHG4) in CRC is still unclear. We analyzed the expression of SNHG4 in CRC patient samples by the Gene Expression Profiling Interactive Analysis (GEPIA) software. The quantitative real time-polymerase chain reaction (qRT-PCR) was used to verify in CRC cell lines. The colony formation assay was used to study the cell proliferation, and we used the transwell assay to detect the migration ability. Then the zebrafish xenograft models were used to confirm these roles of SNHG4 in vivo. Moreover, we detected epithelial mesenchymal transition (EMT) related genes by qRT-PCR. We found the expression of SNHG4 was upregulated in CRC patient samples by analyzing GEPIA software, which was also verified in CRC cell lines. We also found that silencing SNHG4 inhibited the proliferation and migration of CRC cells, and its roles were verified in zebrafish xenografts in vivo. Further, we found that the expression of E-cadherin was significantly upregulated and N-cadherin was downregulated when knocking-down SNHG4 in CRC cells. Our findings demonstrated that SNHG4 played oncogenic roles in CRC, which could be a potential target for treatment of CRC patients, and the results strongly revealed that zebrafish xenograft could be used for functional research of lncRNAs in human cancer.

LncRNAfunc: a knowledgebase of lncRNA function in human cancer.

The long non-coding RNAs associating with other molecules can coordinate several physiological processes and their dysfunction can impact diverse human diseases. To date, systematic and intensive annotations on diverse interaction regulations of lncRNAs in human cancer were not available. Here, we built lncRNAfunc, a knowledgebase of lncRNA function in human cancer at https://ccsm.uth.edu/lncRNAfunc, aiming to provide a resource and reference for providing therapeutically targetable lncRNAs and intensive interaction regulations. To do this, we collected 15 900 lncRNAs across 33 cancer types from TCGA. For individual lncRNAs, we performed multiple interaction analyses of different biomolecules including DNA, RNA, and protein levels. Our intensive studies of lncRNAs provide diverse potential mechanisms of lncRNAs that regulate gene expression through binding enhancers and 3′-UTRs of genes, competing for miRNA binding sites with mRNAs, recruiting the transcription factors to gene promoters. Furthermore, we investigated lncRNAs that potentially affect the alternative splicing events through interacting with RNA binding Proteins. We also performed multiple functional annotations including cancer stage-associated lncRNAs, RNA A-to-I editing event-associated lncRNAs, and lncRNA expression quantitative trait loci. lncRNAfunc is a unique resource for cancer research communities to help better understand potential lncRNA regulations and therapeutic lncRNA targets.

Long Non-coding RNA ASNR Targeting miR-519e-5p Promotes Gastric Cancer Development by Regulating FGFR2.

Gastric cancer (GC), as a common gastrointestinal tumor, is an important cause of death from cancer all around the world. Long non-coding RNAs (lncRNAs), a novel class of transcripts, have attracted great attention of researchers. However, the mechanisms of the clinical significance of most lncRNAs in human cancer are mainly undocumented. This research desires to explore the clinical significance, biological function, and mechanism of Lnc_ASNR (apoptosis suppressing-non-coding RNA) in GC. Cell proliferation, cell cycle, cell migration, and invasion abilities were respectively determined by 3-(4,5)-dimethylthiahiazo (-z-y1)-3,5-di-phenytetrazoliumromide (MTT), flow cytometry, wound healing, and Transwell assay (Sigma-Aldrich, St. Louis, MO, United States). The association of Lnc_ASNR, miR-519e-5p, and fibroblast growth factor receptor 2 (FGFR2) was evaluated via luciferase reporter experiments. The tumor xenograft assay was conducted to confirm the results of cell experiments. High expressed Lnc_ASNR was detected in both GC cells and tissues using qRT-PCR. Downregulated Lnc_ASNR could reduce proliferation, migration, and invasion in GC cells, while upregulated Lnc_ASNR could promote the cell proliferation, migration, and invasion. Moreover, the effect of Lnc_ASNR on migration and invasion ability is closely related to epithelial-mesenchymal transition (EMT). The bioinformatics analysis, luciferase assay, and Western blot demonstrated that Lnc_ASNR inhibited miR-519e-5p expression but increased FGFR2 expression. Lnc_ASNR and FGFR2 were both targeted to miR-519e-5p, and they were negatively correlated with the expression of miR-519e-5p. All investigations indicated that Lnc_ASNR functioned as a ceRNA targeting miR-519e-5p and facilitated GC development by regulating the pathway of miR-519e-5p/FGFR2.

Mutual Correlation between Non-Coding RNA and S-Adenosylmethionine in Human Cancer: Roles and Therapeutic Opportunities.

Simple SummaryNon-coding RNAs and S-adenosylmethionine, the methyl donor required in all epigenetic methylation reactions, have emerged in recent years as crucial players in the modulation of gene expression in different types of human cancers. This review summarizes the most recent findings on reciprocal regulation between AdoMet and non-coding RNAs. AdoMet was found to exert anticancer activity through epigenetic regulation of non-coding RNAs, including microRNAs, long non-coding RNAs and circular RNAs. On the other hand, several microRNAs and long non-coding RNAs have been reported to display regulatory effects on the expression of genes involved in AdoMet synthesis and metabolism. Increasing knowledge on the relationship between AdoMet and non-coding RNAs will provide insights for further development of diagnostic and therapeutic strategies for cancer treatments.Epigenetics includes modifications in DNA methylation, histone and chromatin structure, and expression of non-coding RNAs (ncRNAs), especially microRNAs (miRNAs) and long non-coding RNAs (lncRNAs). Knowledge of the relationships between S-adenosylmethionine (AdoMet or SAM), the universal methyl donor for all epigenetic methylation reactions and miRNAs or lncRNAs in human cancer may provide helpful insights for the development of new end more effective anticancer therapeutic approaches. In recent literature, a complex network of mutual interconnections between AdoMet and miRNAs or lncRNAs has been reported and discussed. Indeed, ncRNAs expression may be regulated by epigenetic mechanisms such as DNA and RNA methylation and histone modifications. On the other hand, miRNAs or lncRNAs may influence the epigenetic apparatus by modulating the expression of its enzymatic components at the post-transcriptional level. Understanding epigenetic mechanisms, such as dysregulation of miRNAs/lncRNAs and DNA methylation, has become of central importance in modern research. This review summarizes the recent findings on the mechanisms by which AdoMet and miRNA/lncRNA exert their bioactivity, providing new insights to develop innovative and more efficient anticancer strategies based on the interactions between these epigenetic modulators.

The potential of long noncoding RNAs for precision medicine in human cancer.

Precision medicine promises to better classify patients by individual clinical and biological biomarkers, which may provide an accurate assessment of disease risk, diagnosis, prognosis and treatment response. Cancer frequently displays substantial inter-tumor and intra-tumor heterogeneity and hence oncology is well suited for application of precision approaches. Recent studies have demonstrated that dysregulated lncRNAs play pivotal roles in tumor heterogeneity. In this review, attention is focused on the potential applications of lncRNAs as biomarker candidates for cancer risk evaluation, detection, surveillance and prognosis. LncRNAs are often stable in clinical samples and easily detected. The functional implications and therapeutic potential of targeting lncRNAs in human cancer are further discussed. Finally, existing deficiencies and future perspectives in translating fundamental lncRNA knowledge into clinical practice are highlighted.

Non-coding RNA in thyroid cancer - Functions and mechanisms.

Thyroid cancer is the most common endocrine malignant tumor, and its incidence has increased significantly in the past few years. A growing number of noncoding RNAs (ncRNAs) have shown abnormal expression patterns in human thyroid cancer in recent studies. Depending on size, ncRNAs are usually subdivided into two categories: short ncRNAs and long ncRNAs (longer than 200 nucleotides). Short ncRNAs include microRNAs (miRNAs), PIWI-interacting RNAs, small nucleolar RNAs, and endogenous small interfering RNAs, which have been extensively studied due to their roles in developmental and tumor biology. Compared to that of short ncRNAs, the involvement of lncRNAs in human cancers, especially in thyroid cancer, is not as well studied. Here, we reviewed the roles and clinical significance of miRNAs, lncRNAs, and circular RNA in thyroid development, tumorigenesis, and metastasis to offer a new approach to thyroid cancer treatment.

Long Noncoding RNAs Control the Modulation of Immune Checkpoint Molecules in Cancer.

Long noncoding RNAs (lncRNA) that are associated with immune checkpoints have not been identified, and the mechanism by which such lncRNAs might regulate the expression of immune checkpoints is unknown in human cancer. Immune checkpoint-associated lncRNAs (ICP-lncRNA) were identified and validated via a comprehensive bioinformatic analysis of The Cancer Genome Atlas data. These ICP-lncRNAs were involved in key immune response and immune cell receptor signaling pathways. The expression of ICP-lncRNAs was upregulated and correlated with a poor prognosis in patients with cancer. HLA complex P5 (HCP5) and myocardial infarction associated transcript (MIAT) promoted tumor growth and upregulated the expression of PD-L1/CD274 via a competing endogenous RNA mechanism of sponging miR-150-5p. The combination of MIAT knockdown and PD-L1 antibody administration showed a synergistic inhibitory effect on tumor growth. Finally, the expression of both HCP5 and MIAT was confirmed to be transcriptionally suppressed by CCCTC-binding factor (CTCF), and lipopolysaccharide induced CTCF eviction from the HCP5 and MIAT promoters, attenuating the transcriptionally suppressive activity of CTCF. This study enlarges the functional landscape of known lncRNAs in human cancer and indicates novel insights into their roles in the field of tumor immunity and immunotherapy. These findings may aid in the comprehensive management of human cancer with immunotherapy.

Pseudogene-Derived lncRNAs and Their miRNA Sponging Mechanism in Human Cancer.

Pseudogenes, abundant in the human genome, are traditionally considered as non-functional “junk genes.” However, recent studies have revealed that pseudogenes act as key regulators at DNA, RNA or protein level in diverse human disorders (including cancer), among which pseudogene-derived long non-coding RNA (lncRNA) transcripts are extensively investigated and has been reported to be frequently dysregulated in various types of human cancer. Growing evidence demonstrates that pseudogene-derived lncRNAs play important roles in cancer initiation and progression by serving as competing endogenous RNAs (ceRNAs) through competitively binding to shared microRNAs (miRNAs), thus affecting both their cognate genes and unrelated genes. Herein, we retrospect those current findings about expression, functions and potential ceRNA mechanisms of pseudogene-derived lncRNAs in human cancer, which may provide us with some crucial clues in developing potential targets for cancer therapy in the future.

Deciphering the Mounting Complexity of the p53 Regulatory Network in Correlation to Long Non-Coding RNAs (lncRNAs) in Ovarian Cancer.

Amongst the various gynecological malignancies affecting female health globally, ovarian cancer is one of the predominant and lethal among all. The identification and functional characterization of long non-coding RNAs (lncRNAs) are made possible with the advent of RNA-seq and the advancement of computational logarithm in understanding human disease biology. LncRNAs can interact with deoxyribonucleic acid (DNA), ribonucleic acid (RNA), proteins and their combinations. Moreover, lncRNAs regulate orchestra of diverse functions including chromatin organization and transcriptional and post-transcriptional regulation. LncRNAs have conferred their critical role in key biological processes in human cancer including tumor initiation, proliferation, cell cycle, apoptosis, necroptosis, autophagy, and metastasis. The interwoven function of tumor-suppressor protein p53-linked lncRNAs in the ovarian cancer paradigm is of paramount importance. Several lncRNAs operate as p53 regulators or effectors and modulates a diverse array of functions either by participating in various signaling cascades or via interaction with different proteins. This review highlights the recent progress made in the identification of p53 associated lncRNAs while elucidating their molecular mechanisms behind the altered expression in ovarian cancer tumorigenesis. Moreover, the development of novel clinical and therapeutic strategies for targeting lncRNAs in human cancers harbors great promise.

Long non-coding RNA dysregulation is a frequent event in non-small cell lung carcinoma pathogenesis

BackgroundLong non-coding RNAs compose an important level of epigenetic regulation in normal physiology and disease. Despite the plethora of publications of lncRNAs in human cancer, the landscape is still unclear.MethodsMicroarray analysis in 44 NSCLC paired specimens was followed by qPCR-based validation in 29 (technical) and 38 (independent) tissue pairs. Cross-validation of the selected targets was achieved in 850 NSCLC tumours from TCGA datasets.ResultsTwelve targets were successfully validated by qPCR (upregulated: FEZF1-AS1, LINC01214, LINC00673, PCAT6, NUTM2A-AS1, LINC01929; downregulated: PCAT19, FENDRR, SVIL-AS1, LANCL1-AS1, ADAMTS9-AS2 and LINC00968). All of them were successfully cross validated in the TCGA datasets. Abnormal DNA methylation was observed in the promoters of FENDRR, FEZF1-AS1 and SVIL-AS1. FEZF1-AS1 and LINC01929 were associated with survival in the TCGA set.ConclusionsOur study provides through multiple levels of internal and external validation, a comprehensive list of dysregulated lncRNAs in NSCLC. We therefore envisage this dataset to serve as an important source for the lung cancer research community assisting future investigations on the involvement of lncRNAs in the pathogenesis of the disease and providing novel biomarkers for diagnosis, prognosis and therapeutic stratification.

Research progress on the interactions between long non-coding RNAs and microRNAs in human cancer.

Numerous types of molecular mechanisms mediate the development of cancer. Non-coding RNAs (ncRNAs) are being increasingly recognized to play important role in mediating the development of diseases, including cancer. Long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) are the two most widely studied ncRNAs. Thus far, lncRNAs are known to have biological roles through a variety of mechanisms, including genetic imprinting, chromatin remodeling, cell cycle control, splicing regulation, mRNA decay and translational regulation, and miRNAs regulate gene expression through the degradation of mRNAs and lncRNAs. Although ncRNAs account for a major proportion of the total RNA, the mechanisms underlying the physiological or pathological processes mediated by various types of ncRNAs, and the specific interaction mechanisms between miRNAs and lncRNAs in various physiological and pathological processes, remain largely unknown. Thus, further research in this field is required. In general, the interaction mechanisms between miRNAs and lncRNAs in human cancer have become important research topics, and the study thereof has led to the recent development of related technologies. By providing examples and descriptions, and performing chart analysis, the present study aimed to review the interaction mechanisms and research approaches for these two types of ncRNAs, as well as their roles in the occurrence and development of cancer. These details have far-reaching significance for the utilization of these molecules in the diagnosis and treatment of cancer.

Identifying Cancer Driver lncRNAs Bridged by Functional Effectors through Integrating Multi-omics Data in Human Cancers

The accumulation of somatic driver mutations in the human genome enables cells to gradually acquire a growth advantage and contributes to tumor development. Great efforts on protein-coding cancer drivers have yielded fruitful discoveries and clinical applications. However, investigations on cancer drivers in non-coding regions, especially long non-coding RNAs (lncRNAs), are extremely scarce due to the limitation of functional understanding. Thus, to identify driver lncRNAs integrating multi-omics data in human cancers, we proposed a computational framework, DriverLncNet, which dissected the functional impact of somatic copy number alteration (CNA) of lncRNAs on regulatory networks and captured key functional effectors in dys-regulatory networks. Applying it to 5 cancer types from The Cancer Genome Atlas (TCGA), we portrayed the landscape of 117 driver lncRNAs and revealed their associated cancer hallmarks through their functional effectors. Moreover, lncRNA RP11-571M6.8 was detected to be highly associated with immunotherapeutic targets (PD-1, PD-L1, and CTLA-4) and regulatory T cell infiltration level and their markers (IL2RA and FCGR2B) in glioblastoma multiforme, highlighting its immunosuppressive function. Meanwhile, a high expression of RP11-1020A11.1 in bladder carcinoma was predictive of poor survival independent of clinical characteristics, and CTD-2256P15.2 in lung adenocarcinoma responded to the sensitivity of methyl ethyl ketone (MEK) inhibitors. In summary, this study provided a framework to decipher the mechanisms of tumorigenesis from driver lncRNA level, established a new landscape of driver lncRNAs in human cancers, and offered potential clinical implications for precision oncology.

High expression of Linc00959 predicts poor prognosis in breast cancer

BackgroundAccumulating studies have focused on the oncogenic roles of the newly identified lncRNAs in human cancers. The aim of this study was to examine the expression pattern of Linc00959 in BC and to evaluate its biological role and clinical significance in prediction of prognosis.MethodsExpression of Linc00959 was detected in 290 BC tissues by quantitative reverse-transcription polymerase chain reaction (qRT-PCR). We analyzed the relationship between Linc00959 expression and clinic pathological features of BC patients. The correlation was calculated by SPSS software.ResultsOur results revealed that Linc00959 expression was correlated with ER status (p = 0.005), PR status (p = 0.036), Ki67 (p = 0.025) and HER2 status (p = 0.009). The Kaplan–Meier survival curves indicated that the overall survival (OS) (p = 0.022) and relapse-free survival (RFS) (p = 0.002) were significantly poor in high Linc00959 expression BC patients (p = 0.023). Furthermore, the survival analysis by Cox regression showed that Linc00959 served as an independent prognostic marker in breast cancer (p = 0.004).ConclusionOur studies indicate that Linc00959 is significantly associated with poor prognosis and may represent a new marker of prognosis in breast cancer.

Abstract 3897: Pharmacogenomic landscape of long non-coding RNAs in human cancers

Abstract Extensive efforts in recent large-scale drug screens have enabled identification of protein-coding genes (PCGs) as biomarkers for anti-cancer agent sensitivity, but information on the role of long-non coding RNAs (lncRNAs) in drug response is sparse. Lower abundance, difficulty in expression profiling and limited functional knowledge have so far hindered global analysis of lncRNAs in drug screens. However, lncRNAs represent nearly 60% of the human genome (vs. 3% for PCGs) and contain a vast majority of pharmacogenomic SNPs. Thus, it is critically important to evaluate the role of lncRNAs in drug sensitivity. Here, we perform a comprehensive reanalysis of large-scale drug screens using novel computational methods to create a landscape of pharmacogenomic interactions of lncRNAs in human cancers. We developed an algorithm to accurately impute the lncRNA transcriptome using PCG expression. This approach allowed us to generate lncRNA transcriptome in high throughput drug screening data sets and enabled systematic evaluation of lncRNAs for hundreds of drugs. For example, we applied our method to the Genomics of Drug Sensitivity in Cancer (GDSC) study, where sensitivity to 265 anti-cancer agents were quantified in 963 cancer cell lines. Sparse regression analysis showed lncRNA transcriptome were similar in accuracy at predicting drug response compared to PCGs (P = 0.9), indicating lncRNAs may be equally important biomarkers. Subsequently, we identified drug-specific lncRNA biomarkers using ANOVA while adjusting for tissue type. Our analysis recapitulated literature-verified lncRNAs associated with drug response, e.g. HOTAIR expression with cisplatin resistance (FDR < 0.05). In addition, we identified several compelling novel lncRNA associations for specific drugs along with previously uncharacterized multi-drug response predictors. We next identified lncRNAs that may serve as biomarkers for drug response while controlling for known cancer functional events. As an example, we analyzed EGFR-inhibitors (erlotinib, gefitinib, pelitinib) while controlling for EGFR somatic point mutations and amplification status and identified an anti-sense lncRNA overlapping UGT1A locus that may be a potential regulator of erlotinib metabolism. These findings reveal important lncRNAs that predict response independent of known cancer functional events and are currently being evaluated in non-small cell lung cancer patients. In conclusion, our comprehensive analysis has generated unprecedented insights into the role of lncRNAs in anti-cancer drug response and will be an invaluable resource for researchers studying drug response in various cancer types. Citation Format: Aritro Nath, R. Stephanie Huang. Pharmacogenomic landscape of long non-coding RNAs in human cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3897.

LncNetP, a systematical lncRNA prioritization approach based on ceRNA and disease phenotype association assumptions.

Our knowledge of lncRNA is very limited and discovering novel disease-related long non-coding RNA (lncRNA) has been a major research challenge in cancer studies. In this work, we developed an LncRNA Network-based Prioritization approach, named “LncNetP” based on the competing endogenous RNA (ceRNA) and disease phenotype association assumptions. Through application to 11 cancer types with 3089 common lncRNA and miRNA samples from the Cancer Genome Atlas (TCGA), our approach yielded an average area under the ROC curve (AUC) of 83.87%, with the highest AUC (95.22%) for renal cell carcinoma, by the leave-one-out cross validation strategy. Moreover, we demonstrated the excellent performance of our approach by evaluating the influencing factors including disease phenotype associations, known disease lncRNAs and the numbers of cancer types. Comparisons with previous methods further suggested the integrative importance of our approach. Taking hepatocellular carcinoma (LIHC) as a case study, we predicted four candidate lncRNA genes, RHPN1-AS1, AC007389.1, LINC01116 and BMS1P20 that may serve as novel disease risk factors for disease diagnosis and prognosis. In summary, our lncRNA prioritization strategy can efficiently identify disease-related lncRNAs and help researchers better understand the important roles of lncRNAs in human cancers.