Bioinformatics Analysis to Screen the Key Prognostic Genes in Tumor Microenvironment of Bladder Cancer
Joint Authors
Xu, Zhonghua
Zhang, Zhao
Chen, Dongshan
Li, Zeyan
Liu, Zhao
Yan, Lei
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-17
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Bladder cancer (BLCA) is the fifth most common cancer and has the features of low survival rate and high morbidity and mortality.
The Cancer Genome Atlas (TCGA) is a pool of global gene expression profile and contains huge amounts of cancer genomics data, which makes it possible to inquire the relationship between gene expression and prognosis of a series of malignant tumors including BLCA.
Immune and stromal cells are two major components of tumor microenvironment (TME) which play an important role in judging the prognosis of tumor and influencing the progression of malignant, inflammatory, and metabolic disorders.
In our study, we conducted a quantitative analysis of immune and stromal elements based on the ESTIMATE algorithm and thus divided BLCA cases into high and low groups.
Then the differentially expressed genes closely related to tumor prognosis between groups were identified and had been shown to correlate with immune response and stromal alterations, which was further confirmed by functional enrichment analysis and protein-protein interaction networks.
We validated those genes through BLCA dates downloaded from ArrayExpress and thus got the marker genes to predict prognosis of BLCA.
Additionally, immune cell infiltration analysis explored the correlation between the verified genes and immune cells.
In conclusion, we identified a series of TME-related genes that assess the prognosis and explored the interaction between TME and tumor prognosis to guide clinical individualized treatment.
American Psychological Association (APA)
Zhang, Zhao& Chen, Dongshan& Li, Zeyan& Liu, Zhao& Yan, Lei& Xu, Zhonghua. 2020. Bioinformatics Analysis to Screen the Key Prognostic Genes in Tumor Microenvironment of Bladder Cancer. BioMed Research International،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1135431
Modern Language Association (MLA)
Zhang, Zhao…[et al.]. Bioinformatics Analysis to Screen the Key Prognostic Genes in Tumor Microenvironment of Bladder Cancer. BioMed Research International No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1135431
American Medical Association (AMA)
Zhang, Zhao& Chen, Dongshan& Li, Zeyan& Liu, Zhao& Yan, Lei& Xu, Zhonghua. Bioinformatics Analysis to Screen the Key Prognostic Genes in Tumor Microenvironment of Bladder Cancer. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1135431
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135431