Comprehensive analysis of competitive endogenous RNAs network reveals potential prognostic lncRNAs in gastric cancer

Long non-coding RNAs (lncRNAs) are key regulators of a range of human diseases, including various cancers, with multiple previous studies having explored lncRNA dysregulation in the context of gastric cancer (GC). The present study sought to expand upon these previous results by downloading lncRNA,...

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Main Authors: Dengzhong Sun, Yongzhi Miao, Wu Xu, Weijun Shi, Lili Wang, Tianwen Chen, Hexin Wen, Huazhang Wu, Mulin Liu
Format: Article
Language:English
Published: Elsevier 2020-05-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844020308239
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spelling doaj-84312d0507a0464cbdc83bc20b26f07a2020-11-25T03:17:05ZengElsevierHeliyon2405-84402020-05-0165e03978Comprehensive analysis of competitive endogenous RNAs network reveals potential prognostic lncRNAs in gastric cancerDengzhong Sun0Yongzhi Miao1Wu Xu2Weijun Shi3Lili Wang4Tianwen Chen5Hexin Wen6Huazhang Wu7Mulin Liu8Department of Gastrointestinal Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, ChinaDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, ChinaDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, ChinaDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, ChinaDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, ChinaDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, ChinaDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, ChinaSchool of Life Sciences, Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical College, Bengbu, ChinaDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Corresponding author.Long non-coding RNAs (lncRNAs) are key regulators of a range of human diseases, including various cancers, with multiple previous studies having explored lncRNA dysregulation in the context of gastric cancer (GC). The present study sought to expand upon these previous results by downloading lncRNA, mRNA, and microRNA (miRNA) expression profiles derived from 180 GC tissues and 24 normal control tissues within the Cancer Genome Atlas (TCGA) database. These datasets were then interrogated to identify GC-related differentially expressed (DE) RNAs (|fold change| ≥ 2, FDR< 0.01), leading to the identification of 1946 DE lncRNAs, 123 DE miRNAs, and 3159 DE mRNAs. These results were then used to generate a putative GC-related competitive endogenous RNA (ceRNA) network composed of 131 lncRNAs, 9 miRNAs, and 78 mRNAs. Subsequent survival analyses based upon this network revealed 17 of these lncRNAs to be significantly associated with GC patient survival (P < 0.05). Further multivariable Cox regression and lasso analyses allowed for the construction of an 8-lncRNA risk score that was able to effectively predict GC patient survival with good discriminative ability. The Kaplan-Meier Plotter database further confirmed that network hub genes that were related to these 8 lncRNAs were associated with GC patient prognosis (P < 0.05). As the ceRNA network in the present study was constructed with a focus on both disease stage and differential gene expression, it represents a key resource that will offer valuable insights into the mechanistic roles of ceRNA pathways in GC development and progression.http://www.sciencedirect.com/science/article/pii/S2405844020308239BioinformaticsCancer researchBiological sciencesCeRNAGastric cancerLncRNA
collection DOAJ
language English
format Article
sources DOAJ
author Dengzhong Sun
Yongzhi Miao
Wu Xu
Weijun Shi
Lili Wang
Tianwen Chen
Hexin Wen
Huazhang Wu
Mulin Liu
spellingShingle Dengzhong Sun
Yongzhi Miao
Wu Xu
Weijun Shi
Lili Wang
Tianwen Chen
Hexin Wen
Huazhang Wu
Mulin Liu
Comprehensive analysis of competitive endogenous RNAs network reveals potential prognostic lncRNAs in gastric cancer
Heliyon
Bioinformatics
Cancer research
Biological sciences
CeRNA
Gastric cancer
LncRNA
author_facet Dengzhong Sun
Yongzhi Miao
Wu Xu
Weijun Shi
Lili Wang
Tianwen Chen
Hexin Wen
Huazhang Wu
Mulin Liu
author_sort Dengzhong Sun
title Comprehensive analysis of competitive endogenous RNAs network reveals potential prognostic lncRNAs in gastric cancer
title_short Comprehensive analysis of competitive endogenous RNAs network reveals potential prognostic lncRNAs in gastric cancer
title_full Comprehensive analysis of competitive endogenous RNAs network reveals potential prognostic lncRNAs in gastric cancer
title_fullStr Comprehensive analysis of competitive endogenous RNAs network reveals potential prognostic lncRNAs in gastric cancer
title_full_unstemmed Comprehensive analysis of competitive endogenous RNAs network reveals potential prognostic lncRNAs in gastric cancer
title_sort comprehensive analysis of competitive endogenous rnas network reveals potential prognostic lncrnas in gastric cancer
publisher Elsevier
series Heliyon
issn 2405-8440
publishDate 2020-05-01
description Long non-coding RNAs (lncRNAs) are key regulators of a range of human diseases, including various cancers, with multiple previous studies having explored lncRNA dysregulation in the context of gastric cancer (GC). The present study sought to expand upon these previous results by downloading lncRNA, mRNA, and microRNA (miRNA) expression profiles derived from 180 GC tissues and 24 normal control tissues within the Cancer Genome Atlas (TCGA) database. These datasets were then interrogated to identify GC-related differentially expressed (DE) RNAs (|fold change| ≥ 2, FDR< 0.01), leading to the identification of 1946 DE lncRNAs, 123 DE miRNAs, and 3159 DE mRNAs. These results were then used to generate a putative GC-related competitive endogenous RNA (ceRNA) network composed of 131 lncRNAs, 9 miRNAs, and 78 mRNAs. Subsequent survival analyses based upon this network revealed 17 of these lncRNAs to be significantly associated with GC patient survival (P < 0.05). Further multivariable Cox regression and lasso analyses allowed for the construction of an 8-lncRNA risk score that was able to effectively predict GC patient survival with good discriminative ability. The Kaplan-Meier Plotter database further confirmed that network hub genes that were related to these 8 lncRNAs were associated with GC patient prognosis (P < 0.05). As the ceRNA network in the present study was constructed with a focus on both disease stage and differential gene expression, it represents a key resource that will offer valuable insights into the mechanistic roles of ceRNA pathways in GC development and progression.
topic Bioinformatics
Cancer research
Biological sciences
CeRNA
Gastric cancer
LncRNA
url http://www.sciencedirect.com/science/article/pii/S2405844020308239
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