Literature DB >> 33552958

Transcriptome Based System Biology Exploration Reveals Homogeneous Tumorigenicity of Alimentary Tract Malignancy.

Yu-Chen Lu1, Jing-Qi Shi1, Zi-Xin Zhang1, Jia-Yi Zhou1,2, Hai-Kun Zhou1, Yuan-Cai Feng1, Zhen-Hua Lu1, Shu-Ya Yang1, Xi-Yang Zhang1, Yang Liu1, Zi-Chao Li1, Yuan-Jie Sun1, Lian-He Zheng3, Dong-Bo Jiang1, Kun Yang1.   

Abstract

Malignancies of alimentary tract include esophageal carcinoma (ESCA), stomach adenocarcinoma (STAD), colon adenocarcinoma (COAD), and rectum adenocarcinoma (READ). Despite of their similarities in cancer development and progression, there are numerous researches concentrating on single tumor but relatively little on their common mechanisms. Our study explored the transcriptomic data of digestive tract cancers from The Cancer Genome Atlas database, yielding their common differentially expressed genes including 1,700 mRNAs, 29 miRNAs, and 362 long non-coding RNAs (lncRNAs). There were 12 mRNAs, 5 miRNAs, and 16 lncRNAs in the core competitive endogenous RNAs network by RNA-RNA interactions, highlighting the prognostic nodes of SERPINE1, hsa-mir-145, and SNHG1. In addition, the weighted gene co-expression network analysis (WGCNA) illustrated 20 gene modules associated with clinical traits. By taking intersections of modules related to the same trait, we got 67 common genes shared by ESCA and READ and screened 5 hub genes, including ADCY6, CXCL3, NPBWR1, TAS2R38, and PTGDR2. In conclusion, the present study found that SERPINE1/has-mir-145/SNHG1 axis acted as promising targets and the hub genes reasoned the similarity between ESCA and READ, which revealed the homogeneous tumorigenicity of digestive tract cancers at the transcriptome level and led to further comprehension and therapeutics for digestive tract cancers.
Copyright © 2021 Lu, Shi, Zhang, Zhou, Zhou, Feng, Lu, Yang, Zhang, Liu, Li, Sun, Zheng, Jiang and Yang.

Entities:  

Keywords:  alimentary tract malignancy; competing endogenous RNA; homogeneous tumorigenicity; transcriptome; weighted gene co-expression network analysis

Year:  2021        PMID: 33552958      PMCID: PMC7862768          DOI: 10.3389/fonc.2020.580276

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   6.244


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