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Journal of Cancer Research and Clinical Oncology

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01-07-2020 | Metastasis | Original Article – Cancer Research

Genome-wide analysis of prognostic-related lncRNAs, miRNAs and mRNAs forming a competing endogenous RNA network in lung squamous cell carcinoma

Authors: Qiang Ju, Yan-jie Zhao, Sai Ma, Xin-mei Li, Heng Zhang, Shao-qiang Zhang, Yuan-ming Yang, Song-xia Yan

Published in: Journal of Cancer Research and Clinical Oncology | Issue 7/2020

Abstract

Purpose

As a type of cancer with the highest morbidity and mortality, lung squamous cell carcinoma (LUSC) has a very poor prognosis. Long-non-coding RNA (lncRNA) has recently attracted attentions because it can play the role of competing endogenous RNA (ceRNA) to inhibit microRNA (miRNA) functions. In this study, we aimed to find prognosis-related lncRNAs, miRNAs and mRNAs and construct a prognosis-related ceRNA network.

Methods

The original LUSC RNA-sequencing data and miRNA profiles data were downloaded from the cancer genome atlas (TCGA) database. Differentially expressed lncRNAs, miRNAs and mRNAs were then identified between patients with lymph node metastasis and no lymph node metastasis. Univariate Cox regression analysis was performed to find the survival-associated lncRNAs, miRNAs and mRNAs. Subsequently, prognostic-related ceRNA network was established. By multivariate Cox regression analysis, three lncRNA signatures and three mRNA signatures were developed and used for predicting LUSC patients’ survival.

Results

A total of 224 lncRNAs, 160 miRNAs, 913 mRNAs were identified between samples with lymph node metastasis and no lymph node metastasis. Univariate Cox regression analysis showed that, among them, 28 lncRNAs, 8 miRNAs, 105 mRNAs were significantly associated with patients’ overall survival time. Further pathway and enrichment analysis suggested that these mRNAs were associated with the regulation of transmembrane transport, regulation of blood circulation, plasma lipoprotein particle organization. Then we constructed a survival-related ceRNA network including 9 lncRNAs, 8 miRNAs and 23 mRNAs. Additionally, a multivariate Cox regression analysis demonstrated that three lncRNAs (AL161431.1, LINC02389, APCDD1L.DT) and three mRNAs (KLK6, SLITRK5, CCDC177) had a significant prognostic value. Risk score indicated that lncRNA signature and mRNA signature could independently predict overall survival in LUSC patients.

Conclusion

The current study provided a better understanding of the ceRNA network in the progression of LUSC and laid a theoretical foundation for LUSC prognosis.

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Title: Genome-wide analysis of prognostic-related lncRNAs, miRNAs and mRNAs forming a competing endogenous RNA network in lung squamous cell carcinoma
Authors: Qiang Ju
Yan-jie Zhao
Sai Ma
Xin-mei Li
Heng Zhang
Shao-qiang Zhang
Yuan-ming Yang
Song-xia Yan
Publication date: 01-07-2020
Publisher: Springer Berlin Heidelberg
Keyword: Metastasis
Published in: Journal of Cancer Research and Clinical Oncology / Issue 7/2020
Print ISSN: 0171-5216
Electronic ISSN: 1432-1335
DOI: https://doi.org/10.1007/s00432-020-03224-8

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Genome-wide analysis of prognostic-related lncRNAs, miRNAs and mRNAs forming a competing endogenous RNA network in lung squamous cell carcinoma

Abstract

Purpose

Methods

Results

Conclusion

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Abstract

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