Literature DB >> 30430631

Identification of key lncRNAs in the carcinogenesis and progression of colon adenocarcinoma by co-expression network analysis.

Shi Jiang1, Biyong Tan2, Xingqiang Zhang2.   

Abstract

Colon adenocarcinoma (COAD) is one of the most common cancers, and its carcinogenesis and progression is influenced by multiple long non-coding RNAs (lncRNA), especially through the miRNA sponge effect. In this study, more than 4000 lncRNAs were re-annotated from the microarray datasets through probe sequence mapping to obtain reliable lncRNA expression profiles. As a systems biology method for describing the correlation patterns among genes across microarray samples, weighted gene co-expression network analysis was conducted to identify lncRNA modules associated with the five stepwise stages from normal colonic samples to COAD (n = 94). In the most relevant module (R2  = -0.78, P = 4E-20), four hub lncRNAs were identified (CTD-2396E7.11, PCGF5, RP11-33O4.1, and RP11-164P12.5). Then, these four hub lncRNAs were validated using two other independent datasets including GSE20916 (n = 145) and GSE39582 (n = 552). The results indicated that all hub lncRNAs were significantly negatively correlated with the three-stage colonic carcinogenesis, as well as TNM stages in COAD (one-way analysis of variance P < 0.05). Kaplan-Meier survival curve showed that patients with higher expression of each hub lncRNA had a significantly higher overall survival rate and lower relapse risk (log-rank P < 0.05). In conclusion, through co-expression analysis, we identified and validated four key lncRNAs in association with the carcinogenesis and progression of COAD, and these lncRNAs might have important clinical implications for improving the risk stratification, therapeutic decision and prognosis prediction in COAD patients.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  carcinogenesis; colon adenocarcinoma (COAD); lncRNAs; progression; weighted gene co-expression network analysis (WGCNA)

Mesh:

Substances:

Year:  2018        PMID: 30430631     DOI: 10.1002/jcb.27940

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  5 in total

1.  Weighted gene co-expression network analysis identified MYL9 and CNN1 are associated with recurrence in colorectal cancer.

Authors:  Xiao Qiu; Shen-Hong Cheng; Fei Xu; Jin-Wen Yin; Li-Yang Wang; Xin-You Zhang
Journal:  J Cancer       Date:  2020-02-10       Impact factor: 4.207

2.  Prognostic and clinicopathological significance of long non-coding RNA UCA1 in colorectal cancer: Results from a meta-analysis.

Authors:  Xiaoqun Liu; Xiangdong Liu; Tiankui Qiao; Wei Chen
Journal:  Medicine (Baltimore)       Date:  2019-11       Impact factor: 1.817

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Journal:  Cell Biochem Funct       Date:  2020-01-20       Impact factor: 3.685

4.  Identification of key lncRNAs in the tumorigenesis of intraductal pancreatic mucinous neoplasm by coexpression network analysis.

Authors:  Jun Ding; Yi Li; Yong Zhang; Bin Fan; Qinghe Li; Jian Zhang; Jiayao Zhang
Journal:  Cancer Med       Date:  2020-04-02       Impact factor: 4.452

5.  LncRNA AC079630.4 expression associated with the progression and prognosis in lung cancer.

Authors:  Li-Fang Wang; Li-Ping Wu; Jian-Dong Wen
Journal:  Aging (Albany NY)       Date:  2021-07-19       Impact factor: 5.682

  5 in total

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