Dataset Information

Dysregulation of long non-coding RNA profiles in human colorectal cancer and its association with overall survival.

ABSTRACT: Long non-coding RNAs (lncRNAs) emerged as key regulators of diverse roles during colorectal cancer (CRC) carcinogenesis, but their specific function still remains to be explored. The present study aimed to re-annotate the Affymetrix Human Exon 1.0 ST Array for defining differential lncRNAs in CRC. Their prognostic relevance was also developed for screening key regulators in CRC. The CRC datasets E-GEOD-31737, E-MATB-829, Affymetrix colon cancer dataset and E-GEOD-24550 were re-purposed for searching differential lncRNAs and exploring their association with overall survival (OS). The identified lncRNAs were validated in CRC tissues or cell lines. As a result, 462, 286 and 166 differential lncRNAs were identified, respectively, in three predictive datasets. Among them, 48 lncRNAs were commonly observed to exhibit differential expression in the three datasets. Notably, the overexpression of family with sequence similarity 83 member H (FAM83H)-antisense (AS) 1 (P=0.038) and VPS9 domain containing 1 (VPS9D1)-AS1 (P=0.020) indicated shorter OS time than lower expression. The overexpression of FAM83H-AS1 (P=0.033) and VPS9D1-AS1 (P=0.011) was validated in cancerous tissues. Thus, FAM83H-AS1 and VPS9D1-AS1 may potentially enhance carcinogenesis or may be developed as prognostic biomarkers for CRC. In conclusion, a total of 48 CRC-related lncRNAs were identified, the majority of which were confirmed to exhibit dysregulation. FAM83H-AS1 and VPS9D1-AS1 could have a potential use as prognostic biomarkers for CRC patients.

SUBMITTER: Yang L

PROVIDER: S-EPMC5104233 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature

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Dysregulation of long non-coding RNA profiles in human colorectal cancer and its association with overall survival.

Yang Lei L Xu Lingling L Wang Qian Q Wang Min M An Guangyu G

Oncology letters 20160915 5

Long non-coding RNAs (lncRNAs) emerged as key regulators of diverse roles during colorectal cancer (CRC) carcinogenesis, but their specific function still remains to be explored. The present study aimed to re-annotate the Affymetrix Human Exon 1.0 ST Array for defining differential lncRNAs in CRC. Their prognostic relevance was also developed for screening key regulators in CRC. The CRC datasets E-GEOD-31737, E-MATB-829, Affymetrix colon cancer dataset and E-GEOD-24550 were re-purposed for searc ...[more]

PMID: 27895773

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Project description:BackgroundImmunotherapy has changed the treatment landscape for lung cancer. This study aims to construct a tumor mutation-related model that combines long non-coding RNA (lncRNA) expression levels and tumor mutation levels in tumor genomes to detect the possibilities of the lncRNA signature as an indicator for predicting the prognosis and response to immunotherapy in lung adenocarcinoma (LUAD).MethodsWe downloaded the tumor mutation profiles and RNA-seq expression database of LUAD from The Cancer Genome Atlas (TCGA). Differentially expressed lncRNAs were extracted based on the cumulative number of mutations. Cox regression analyses were used to identify the prognostic lncRNA signature, and the prognostic value of the five selected lncRNAs was validated by using survival analysis and the receiver operating characteristic (ROC) curve. We used qPCR to validate the expression of five selected lncRNAs between human lung epithelial and human lung adenocarcinoma cell lines. The ImmuCellAI, immunophenoscore (IPS) scores and Tumor Immune Dysfunction and Exclusion (TIDE) analyses were used to predict the response to immunotherapy for this mutation related lncRNA signature.ResultsA total of 162 lncRNAs were detected among the differentially expressed lncRNAs between the Tumor mutational burden (TMB)-high group and the TMB-low group. Then, five lncRNAs (PLAC4, LINC01116, LINC02163, MIR223HG, FAM83A-AS1) were identified as tumor mutation-related candidates for constructing the prognostic prediction model. Kaplan‒Meier curves showed that the overall survival of the low-risk group was significantly better than that of the high-risk group, and the results of the GSE50081 set were consistent. The expression levels of PD1, PD-L1 and CTLA4 in the low-risk group were higher than those in the high-risk group. The IPS scores and TIDE scores of patients in the low-risk group were significantly higher than those in the high-risk group.ConclusionOur findings demonstrated that the five lncRNAs (PLAC4, LINC01116, LINC02163, MIR223HG, FAM83A-AS1) were identified as candidates for constructing the tumor mutation-related model which may serve as an indicator of tumor mutation levels and have important implications for predicting the response to immunotherapy in LUAD.

Dataset Information

Dysregulation of long non-coding RNA profiles in human colorectal cancer and its association with overall survival.

Publications

Dysregulation of long non-coding RNA profiles in human colorectal cancer and its association with overall survival.

Similar Datasets

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