Cargando…

Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment

BACKGROUND: Prostate cancer (PCa) is one of the most common cancers and the fifth leading cause of cancer-related death in men. Immune responses in the tumor microenvironment are hypothesized to be related to the prognosis of PCa patients; however, no studies are available to confirm the same. In th...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Wenguo, Shi, Hailin, Yuan, Zhen, Xia, Li, Xiang, Xuebao, Quan, Xiangfeng, Shi, Wenjie, Jiang, Leiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662134/
https://www.ncbi.nlm.nih.gov/pubmed/33194726
http://dx.doi.org/10.3389/fonc.2020.584055
_version_ 1783609336308695040
author Sun, Wenguo
Shi, Hailin
Yuan, Zhen
Xia, Li
Xiang, Xuebao
Quan, Xiangfeng
Shi, Wenjie
Jiang, Leiming
author_facet Sun, Wenguo
Shi, Hailin
Yuan, Zhen
Xia, Li
Xiang, Xuebao
Quan, Xiangfeng
Shi, Wenjie
Jiang, Leiming
author_sort Sun, Wenguo
collection PubMed
description BACKGROUND: Prostate cancer (PCa) is one of the most common cancers and the fifth leading cause of cancer-related death in men. Immune responses in the tumor microenvironment are hypothesized to be related to the prognosis of PCa patients; however, no studies are available to confirm the same. In this study, we aimed to explore the potential link between these two factors and identify new biomarkers to estimate the survival rate of PCa patients. METHODS: A total of 490 cases were obtained from The Cancer Genome Atlas (TCGA) database. The gene expression data were analyzed by the ESTIMATE algorithm to evaluate the immune and stromal scores. The survival rate was calculated according to the case-specific clinical data. Enrichment analysis was performed to discover the main biological processes and signaling pathways of immune responses. We further identified and analyzed hub genes in the protein-protein interaction (PPI) network and evaluated their prognostic values. RESULTS: Immune score significantly correlated with immune cell infiltration and overall survival of PCa patients. The genes CXCR4 and GPR183, identified as hub genes in the PPI network, correlated with immune cell infiltration and prognosis of PCa patients. CONCLUSION: CXCR4 and GPR183 participate in immune cell infiltration and function in PCa patients. The immune score, as well as the expression of CXCR4 and GPR183 in prostate cancer tissues, could be potential indexes for the prognosis of prostate cancer.
format Online
Article
Text
id pubmed-7662134
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-76621342020-11-13 Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment Sun, Wenguo Shi, Hailin Yuan, Zhen Xia, Li Xiang, Xuebao Quan, Xiangfeng Shi, Wenjie Jiang, Leiming Front Oncol Oncology BACKGROUND: Prostate cancer (PCa) is one of the most common cancers and the fifth leading cause of cancer-related death in men. Immune responses in the tumor microenvironment are hypothesized to be related to the prognosis of PCa patients; however, no studies are available to confirm the same. In this study, we aimed to explore the potential link between these two factors and identify new biomarkers to estimate the survival rate of PCa patients. METHODS: A total of 490 cases were obtained from The Cancer Genome Atlas (TCGA) database. The gene expression data were analyzed by the ESTIMATE algorithm to evaluate the immune and stromal scores. The survival rate was calculated according to the case-specific clinical data. Enrichment analysis was performed to discover the main biological processes and signaling pathways of immune responses. We further identified and analyzed hub genes in the protein-protein interaction (PPI) network and evaluated their prognostic values. RESULTS: Immune score significantly correlated with immune cell infiltration and overall survival of PCa patients. The genes CXCR4 and GPR183, identified as hub genes in the PPI network, correlated with immune cell infiltration and prognosis of PCa patients. CONCLUSION: CXCR4 and GPR183 participate in immune cell infiltration and function in PCa patients. The immune score, as well as the expression of CXCR4 and GPR183 in prostate cancer tissues, could be potential indexes for the prognosis of prostate cancer. Frontiers Media S.A. 2020-10-30 /pmc/articles/PMC7662134/ /pubmed/33194726 http://dx.doi.org/10.3389/fonc.2020.584055 Text en Copyright © 2020 Sun, Shi, Yuan, Xia, Xiang, Quan, Shi and Jiang http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Sun, Wenguo
Shi, Hailin
Yuan, Zhen
Xia, Li
Xiang, Xuebao
Quan, Xiangfeng
Shi, Wenjie
Jiang, Leiming
Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment
title Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment
title_full Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment
title_fullStr Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment
title_full_unstemmed Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment
title_short Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment
title_sort prognostic value of genes and immune infiltration in prostate tumor microenvironment
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662134/
https://www.ncbi.nlm.nih.gov/pubmed/33194726
http://dx.doi.org/10.3389/fonc.2020.584055
work_keys_str_mv AT sunwenguo prognosticvalueofgenesandimmuneinfiltrationinprostatetumormicroenvironment
AT shihailin prognosticvalueofgenesandimmuneinfiltrationinprostatetumormicroenvironment
AT yuanzhen prognosticvalueofgenesandimmuneinfiltrationinprostatetumormicroenvironment
AT xiali prognosticvalueofgenesandimmuneinfiltrationinprostatetumormicroenvironment
AT xiangxuebao prognosticvalueofgenesandimmuneinfiltrationinprostatetumormicroenvironment
AT quanxiangfeng prognosticvalueofgenesandimmuneinfiltrationinprostatetumormicroenvironment
AT shiwenjie prognosticvalueofgenesandimmuneinfiltrationinprostatetumormicroenvironment
AT jiangleiming prognosticvalueofgenesandimmuneinfiltrationinprostatetumormicroenvironment