Mining TCGA Database for Tumor Microenvironment-Related Genes of Prognostic Value in Hepatocellular Carcinoma
Joint Authors
Deng, Zhenfeng
Wang, Jilong
Xu, Banghao
Jin, Zongrui
Wu, Guolin
Zeng, Jingjing
Peng, Minhao
Guo, Ya
Wen, Zhang
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-19
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Hepatocellular carcinoma (HCC) is one of the most common and lethal malignancies.
Recent studies reveal that tumor microenvironment (TME) components significantly affect HCC growth and progression, particularly the infiltrating stromal and immune cells.
Thus, mining of TME-related biomarkers is crucial to improve the survival of patients with HCC.
Public access of The Cancer Genome Atlas (TCGA) database allows convenient performance of gene expression-based analysis of big data, which contributes to the exploration of potential association between genes and prognosis of a variety of malignancies, including HCC.
The “Estimation of STromal and Immune cells in MAlignant Tumors using Expression data” algorithm renders the quantification of the stromal and immune components in TME possible by calculating the stromal and immune scores.
Differentially expressed genes (DEGs) were screened by dividing the HCC cohort of TCGA database into high- and low-score groups according to stromal and immune scores.
Further analyses of functional enrichment and protein-protein interaction networks show that the DEGs are mainly involved in immune response, cell adhesion, and extracellular matrix.
Finally, seven DEGs have significant association with HCC poor outcomes.
These genes contain FABP3, GALNT5, GPR84, ITGB6, MYEOV, PLEKHS1, and STRA6 and may be candidate biomarkers for HCC prognosis.
American Psychological Association (APA)
Deng, Zhenfeng& Wang, Jilong& Xu, Banghao& Jin, Zongrui& Wu, Guolin& Zeng, Jingjing…[et al.]. 2019. Mining TCGA Database for Tumor Microenvironment-Related Genes of Prognostic Value in Hepatocellular Carcinoma. BioMed Research International،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1123810
Modern Language Association (MLA)
Deng, Zhenfeng…[et al.]. Mining TCGA Database for Tumor Microenvironment-Related Genes of Prognostic Value in Hepatocellular Carcinoma. BioMed Research International No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1123810
American Medical Association (AMA)
Deng, Zhenfeng& Wang, Jilong& Xu, Banghao& Jin, Zongrui& Wu, Guolin& Zeng, Jingjing…[et al.]. Mining TCGA Database for Tumor Microenvironment-Related Genes of Prognostic Value in Hepatocellular Carcinoma. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1123810
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1123810