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Three-gene prognostic biomarkers for seminoma identified by weighted gene co-expression network analysis
Testicular germ cell tumors (TGCTs) are common in young males, and seminoma accounts for a large proportion of TGCTs. However, there are limited records on the exploration of novel biomarkers for seminoma. Hence, we aimed to identify new biomarkers associated with overall survival in seminoma. mRNA-...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588113/ https://www.ncbi.nlm.nih.gov/pubmed/33104706 http://dx.doi.org/10.1371/journal.pone.0240943 |
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author | Chen, Hualin Chen, Gang Pan, Yang Jin, Xiaoxiang |
author_facet | Chen, Hualin Chen, Gang Pan, Yang Jin, Xiaoxiang |
author_sort | Chen, Hualin |
collection | PubMed |
description | Testicular germ cell tumors (TGCTs) are common in young males, and seminoma accounts for a large proportion of TGCTs. However, there are limited records on the exploration of novel biomarkers for seminoma. Hence, we aimed to identify new biomarkers associated with overall survival in seminoma. mRNA-seq and clinical traits of TGCTs were downloaded from UCSC XENA and analyzed by weighted gene co-expression network analysis. After intersection with differentially expressed genes in GSE8607, common genes were subjected to protein-protein interaction (PPI) network construction and enrichment analyses. Then, the top 10 common genes were investigated by Kaplan–Meier (KM) survival analyses and univariate Cox regression analyses. Ultimately, TYROBP, CD68, and ITGAM were considered three prognostic biomarkers in seminoma. Based on correlation analysis between these genes and immune infiltrates, we suggest that the three biomarkers influence the survival of seminoma patients, possibly through regulating the infiltration of immune cells. In conclusion, our study demonstrated that TYROBP, CD68, and ITGAM could be regarded as prognostic biomarkers and therapeutic targets for seminoma patients. |
format | Online Article Text |
id | pubmed-7588113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75881132020-10-30 Three-gene prognostic biomarkers for seminoma identified by weighted gene co-expression network analysis Chen, Hualin Chen, Gang Pan, Yang Jin, Xiaoxiang PLoS One Research Article Testicular germ cell tumors (TGCTs) are common in young males, and seminoma accounts for a large proportion of TGCTs. However, there are limited records on the exploration of novel biomarkers for seminoma. Hence, we aimed to identify new biomarkers associated with overall survival in seminoma. mRNA-seq and clinical traits of TGCTs were downloaded from UCSC XENA and analyzed by weighted gene co-expression network analysis. After intersection with differentially expressed genes in GSE8607, common genes were subjected to protein-protein interaction (PPI) network construction and enrichment analyses. Then, the top 10 common genes were investigated by Kaplan–Meier (KM) survival analyses and univariate Cox regression analyses. Ultimately, TYROBP, CD68, and ITGAM were considered three prognostic biomarkers in seminoma. Based on correlation analysis between these genes and immune infiltrates, we suggest that the three biomarkers influence the survival of seminoma patients, possibly through regulating the infiltration of immune cells. In conclusion, our study demonstrated that TYROBP, CD68, and ITGAM could be regarded as prognostic biomarkers and therapeutic targets for seminoma patients. Public Library of Science 2020-10-26 /pmc/articles/PMC7588113/ /pubmed/33104706 http://dx.doi.org/10.1371/journal.pone.0240943 Text en © 2020 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Chen, Hualin Chen, Gang Pan, Yang Jin, Xiaoxiang Three-gene prognostic biomarkers for seminoma identified by weighted gene co-expression network analysis |
title | Three-gene prognostic biomarkers for seminoma identified by weighted gene co-expression network analysis |
title_full | Three-gene prognostic biomarkers for seminoma identified by weighted gene co-expression network analysis |
title_fullStr | Three-gene prognostic biomarkers for seminoma identified by weighted gene co-expression network analysis |
title_full_unstemmed | Three-gene prognostic biomarkers for seminoma identified by weighted gene co-expression network analysis |
title_short | Three-gene prognostic biomarkers for seminoma identified by weighted gene co-expression network analysis |
title_sort | three-gene prognostic biomarkers for seminoma identified by weighted gene co-expression network analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588113/ https://www.ncbi.nlm.nih.gov/pubmed/33104706 http://dx.doi.org/10.1371/journal.pone.0240943 |
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