» Articles » PMID: 33193689

TMPRSS2 Correlated With Immune Infiltration Serves As a Prognostic Biomarker in Prostatic Adenocarcinoma: Implication for the COVID-2019

Overview
Journal Front Genet
Date 2020 Nov 16
PMID 33193689
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Type 2 transmembrane serine protease (TMPRSS2) is a new member of the serine proteases, and studies have shown that TMPRSS2 plays a role in the occurrence of prostate malignancies and is closely related to the occurrence of the coronavirus disease 2019 (COVID-19). However, the role of TMPRSS2 in prostatic adenocarcinoma (PRAD) remains largely unclear. To better explore its function in PRAD, we examined the expression level of TMPRSS2 in the GEO, tumor immune assessment resource (TIMER), as well as Oncomine databases and studied the association between TMPRSS2 and overall survival (OS) rates in the UALCAN and gene expression profiling interactive analysis (GEPIA) databases. In addition, we studied the correlation of the level of immune infiltration and markers of immune cell type in the TIMER database, analyzed the prognosis based on the expression level of TMPRSS2 in the related immune cell subsets, and determined the methylation profile of TMPRSS2 promoter by UALCAN database. Subsequently, we conducted a survival analysis and gene ontology (GO) pathway analysis in the TISID database and detected the expression of TMPRSS2 in the Human Protein Atlas (HPA) database. We also studied the protein-protein interaction (PPI) network of TMPRSS2 in the GENEMANIA database. Additionally, we used the microarray GSE56677 and GSE52920 to illustrate changes in TMPRSS2 expression and after severe acute respiratory syndrome-coronavirus (SARS-COV) infection, finding that expression of TMPRSS2 decreased after SARS-COV infection . The function of TMPRSS2 in the dataset was further verified by gene set enrichment analysis (GSEA). In conclusion, the expression of TMPRSS2 is significantly increased in PRAD, elevated TMPRSS2 is associated with immune infiltration, and prognosis is positively correlated. In addition, tumor tissue from COVID-19 patients with PRAD may be more susceptible to infection with SARS-COV-2, which may render the prognosis gets worse.

Citing Articles

COVID-19 and Prostatitis: A Review of Current Evidence.

Daneshwar D, Lee Y, Nordin A Diseases. 2024; 12(7).

PMID: 39057128 PMC: 11276594. DOI: 10.3390/diseases12070157.


TMPRSS2 is a tumor suppressor and its downregulation promotes antitumor immunity and immunotherapy response in lung adenocarcinoma.

Liu Z, Lu Q, Zhang Z, Feng Q, Wang X Respir Res. 2024; 25(1):238.

PMID: 38862975 PMC: 11167788. DOI: 10.1186/s12931-024-02870-7.


Multi-omics of the expression and clinical outcomes of TMPRSS2 in human various cancers: A potential therapeutic target for COVID-19.

Liu L, Qin J, Zuo M, Zhou Q J Cell Mol Med. 2021; 26(3):709-724.

PMID: 34951103 PMC: 8817140. DOI: 10.1111/jcmm.17090.


SLC2A5 Correlated with Immune Infiltration: A Candidate Diagnostic and Prognostic Biomarker for Lung Adenocarcinoma.

Luo L, Su J, Zheng Y, Huang F, Huang R, Luo H J Immunol Res. 2021; 2021:9938397.

PMID: 34604392 PMC: 8483904. DOI: 10.1155/2021/9938397.

References
1.
Lu R, Zhao X, Li J, Niu P, Yang B, Wu H . Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. 2020; 395(10224):565-574. PMC: 7159086. DOI: 10.1016/S0140-6736(20)30251-8. View

2.
Uhlen M, Fagerberg L, Hallstrom B, Lindskog C, Oksvold P, Mardinoglu A . Proteomics. Tissue-based map of the human proteome. Science. 2015; 347(6220):1260419. DOI: 10.1126/science.1260419. View

3.
Li T, Fan J, Wang B, Traugh N, Chen Q, Liu J . TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells. Cancer Res. 2017; 77(21):e108-e110. PMC: 6042652. DOI: 10.1158/0008-5472.CAN-17-0307. View

4.
Parsons J, Gage W, Nelson W, De Marzo A . p63 protein expression is rare in prostate adenocarcinoma: implications for cancer diagnosis and carcinogenesis. Urology. 2001; 58(4):619-24. DOI: 10.1016/s0090-4295(01)01311-5. View

5.
Smyth G, Michaud J, Scott H . Use of within-array replicate spots for assessing differential expression in microarray experiments. Bioinformatics. 2005; 21(9):2067-75. DOI: 10.1093/bioinformatics/bti270. View