Literature DB >> 31750732

Distinct Patterns of mRNA and lncRNA Expression Differences Between Lung Squamous Cell Carcinoma and Adenocarcinoma.

Yingxuan Tian1,2, Min Yu3, Li Sun1,2, Linghua Liu1, Jun Wang1, Ke Hui1, Qiaofeng Nan2, Xinyu Nie4, Yajuan Ren1, Xiaoping Ren1.   

Abstract

This study aimed to assess mRNA and lncRNA expression differences between lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD). Cancer tissues were obtained from three LUSC and three LUAD patients, followed by RNA-seq. Differentially expressed mRNAs (DE-mRNAs) and lncRNAs (DE-lncRNAs) were identified between LUSC and LUAD, after which functional enrichment analysis and protein-protein interaction (PPI) network construction was performed on DEGs. Coexpression analysis of lncRNA-gene and prediction of DEG-related miRNAs as well as function enrichment analysis, and construction of competing endogenous RNAs (ceRNA) regulatory network were then conducted. Moreover, survival analysis on differentially expressed RNAs was performed based on data downloaded from The Cancer Genome Atlas (TCGA) database. In this study, 518 DEGs and 117 DE-lncRNAs were identified between LUSC and LUAD. The DEGs were mainly associated with cell adhesion, PI3K-Akt signaling pathway, and focal adhesion. PPI network analysis indicated several genes with highest connectivity, such as CCND1. DE-lncRNAs that coexpressed with DEGs were also associated with tight junction and DE-lncRNAs that had more corepressed relationships with DEGs included GSEC, NKX2-1-AS1, LINC01415, and LINC00839. Moreover, the genes and lncRNAs with higher connectivity in the ceRNA network included NEAT1, SLC5A3, LINC00839, ETV1, CMTM4, and SNX30. Several genes were significantly related to the survival of patients with LUSC and LUAD, including ETV1, RTKN2, SNX30, PAK2, and CCND1. Genes and lncRNAs associated with cell junction have specific patterns in two major histological subtypes of NSCLC. GSEC, NKX2-1-AS1, NEAT1, CCND1, and ETV1 may be potential novel biomarkers for personalized treatment strategies of NSCLC.

Entities:  

Keywords:  differentially expressed genes; lncRNAs; lung adenocarcinoma; lung squamous cell carcinoma; survival analysis

Year:  2019        PMID: 31750732     DOI: 10.1089/cmb.2019.0164

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  5 in total

1.  N 6 -Methyladenosine-Related Long Non-Coding RNAs Are Identified as a Potential Prognostic Biomarker for Lung Squamous Cell Carcinoma and Validated by Real-Time PCR.

Authors:  Wei Zhang; Qian Zhang; Zhefan Xie; Li Che; Tingting Xia; Xingdong Cai; Shengming Liu
Journal:  Front Genet       Date:  2022-06-03       Impact factor: 4.772

2.  Identification of Potential Long Non-coding RNA Expression Quantitative Trait Methylations in Lung Adenocarcinoma and Lung Squamous Carcinoma.

Authors:  Xiaohong Wu; Yue Gao; Jianlong Bu; Lin Deng; Pinyi Zhang; Meng Chi; Lihua Jiang; Xiaoding Shi; Shangwei Ning; Guonian Wang
Journal:  Front Genet       Date:  2020-12-09       Impact factor: 4.599

3.  lncRNA GSEC Promotes the Progression of Triple Negative Breast Cancer (TNBC) by Targeting the miR-202-5p/AXL Axis.

Authors:  Jianhua Zhang; Chuang Du; Linfeng Zhang; Yan Wang; Yingying Zhang; Jingruo Li
Journal:  Onco Targets Ther       Date:  2021-04-20       Impact factor: 4.147

4.  LINC00628 is differentially expressed between lung adenocarcinoma and squamous cell carcinoma and is associated with the prognosis of NSCLC.

Authors:  Tingting Liu; Shuangshuang Xu; Xiaoxin Liu
Journal:  Oncol Lett       Date:  2021-12-21       Impact factor: 2.967

5.  Identification of prognostic long noncoding RNAs associated with spontaneous regression of neuroblastoma.

Authors:  Xinyao Meng; Erhu Fang; Xiang Zhao; Jiexiong Feng
Journal:  Cancer Med       Date:  2020-03-26       Impact factor: 4.452

  5 in total

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