Literature DB >> 32031891

Comprehensive Analysis for Identifying Diagnostic and Prognostic Biomarkers in Colon Adenocarcinoma.

Zhisong Liu1,2, Yi Bai3,4, Fucun Xie3, Fei Miao2, Fei Du1.   

Abstract

Colon adenocarcinoma (COAD) is a common noncutaneous carcinoma worldwide with high morbidity and mortality. Effective prevention methods are far from being met. Both diagnostic and prognostic models that can precisely and accurately predict the status and survival time of COAD are urgently needed. In the field of COAD, there have been limited studies on molecular biomarkers that can predict disease status and prognosis. Hence, an important task is to identify these biomarkers. We aimed to identify important risk genes that have the ability not only to diagnose tumors but also to predict overall survival. A comprehensive analysis was performed in this study. Finally, carbonic anhydrase 1 (CA1) and CA4 were identified as potential biomarkers due to their predictive roles in diagnosis and prognosis, and the results were further confirmed by a series of analyses. Overall, these findings are of great importance and may facilitate individualized treatment in diagnosis and prognosis.

Entities:  

Keywords:  biomarkers; colon adenocarcinoma; diagnosis; prognosis; weighted gene coexpression network analysis

Mesh:

Substances:

Year:  2020        PMID: 32031891     DOI: 10.1089/dna.2019.5215

Source DB:  PubMed          Journal:  DNA Cell Biol        ISSN: 1044-5498            Impact factor:   3.311


  3 in total

1.  Genome-Wide mRNA Expression Analysis of Acute Psychological Stress Responses.

Authors:  Jeongok G Logan; Sijung Yun; Bethany A Teachman; Yongde Bao; Emily Farber; Charles R Farber
Journal:  MEDICC Rev       Date:  2022-05-16       Impact factor: 2.500

2.  Identification of Key Genes in Lung Adenocarcinoma and Establishment of Prognostic Mode.

Authors:  Zhou Jiawei; Mu Min; Xing Yingru; Zhang Xin; Li Danting; Liu Yafeng; Xie Jun; Hu Wangfa; Zhang Lijun; Wu Jing; Hu Dong
Journal:  Front Mol Biosci       Date:  2020-10-27

3.  Construction of a prognostic risk model of colorectal adenocarcinoma through integrated analysis of RNA-binding proteins.

Authors:  Xinhong Liu; Qikun Lv; Dingyi Yang; Xin Zhao; Zuolin Jing; Xingyao Long; Ruokun Yi
Journal:  Transl Cancer Res       Date:  2021-05       Impact factor: 1.241

  3 in total

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