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Identification of a Metastasis-Associated Gene Signature of Clear Cell Renal Cell Carcinoma
Clear cell renal cell carcinoma (ccRCC) is one of the most frequent pathological subtypes of kidney cancer, accounting for ~70–75%, and the major cause of mortality is metastatic disease. The difference in gene expression profiles between primary ccRCC tumors and metastatic tumors has not been deter...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889952/ https://www.ncbi.nlm.nih.gov/pubmed/33613617 http://dx.doi.org/10.3389/fgene.2020.603455 |
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author | Gao, Suhua Yan, Lei Zhang, Hongtao Fan, Xiaoguang Jiao, Xiaojing Shao, Fengmin |
author_facet | Gao, Suhua Yan, Lei Zhang, Hongtao Fan, Xiaoguang Jiao, Xiaojing Shao, Fengmin |
author_sort | Gao, Suhua |
collection | PubMed |
description | Clear cell renal cell carcinoma (ccRCC) is one of the most frequent pathological subtypes of kidney cancer, accounting for ~70–75%, and the major cause of mortality is metastatic disease. The difference in gene expression profiles between primary ccRCC tumors and metastatic tumors has not been determined. Thus, we report integrated genomic and transcriptomic analysis for identifying differentially expressed genes (DEGs) between primary and metastatic ccRCC tumors to understand the molecular mechanisms underlying the development of metastases. The microarray datasets GSE105261 and GSE85258 were obtained from the Gene Expression Omnibus (GEO) database, and the R package limma was used for DEG analyses. In summary, the results described herein provide important molecular evidence that metastatic ccRCC tumors are different from primary tumors. Enrichment analysis indicated that the DEGs were mainly enriched in ECM–receptor interaction, platelet activation, protein digestion, absorption, focal adhesion, and the PI3K–Akt signaling pathway. Moreover, we found that DEGs associated with a higher level of tumor immune infiltrates and tumor mutation burden were more susceptible to poor prognosis of ccRCC. Specifically, our study indicates that seven core genes, namely the collagen family (COL1A2, COL1A1, COL6A3, and COL5A1), DCN, FBLN1, and POSTN, were significantly upregulated in metastatic tumors compared with those in primary tumors and, thus, potentially offer insight into novel therapeutic and early diagnostic biomarkers of ccRCC. |
format | Online Article Text |
id | pubmed-7889952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78899522021-02-19 Identification of a Metastasis-Associated Gene Signature of Clear Cell Renal Cell Carcinoma Gao, Suhua Yan, Lei Zhang, Hongtao Fan, Xiaoguang Jiao, Xiaojing Shao, Fengmin Front Genet Genetics Clear cell renal cell carcinoma (ccRCC) is one of the most frequent pathological subtypes of kidney cancer, accounting for ~70–75%, and the major cause of mortality is metastatic disease. The difference in gene expression profiles between primary ccRCC tumors and metastatic tumors has not been determined. Thus, we report integrated genomic and transcriptomic analysis for identifying differentially expressed genes (DEGs) between primary and metastatic ccRCC tumors to understand the molecular mechanisms underlying the development of metastases. The microarray datasets GSE105261 and GSE85258 were obtained from the Gene Expression Omnibus (GEO) database, and the R package limma was used for DEG analyses. In summary, the results described herein provide important molecular evidence that metastatic ccRCC tumors are different from primary tumors. Enrichment analysis indicated that the DEGs were mainly enriched in ECM–receptor interaction, platelet activation, protein digestion, absorption, focal adhesion, and the PI3K–Akt signaling pathway. Moreover, we found that DEGs associated with a higher level of tumor immune infiltrates and tumor mutation burden were more susceptible to poor prognosis of ccRCC. Specifically, our study indicates that seven core genes, namely the collagen family (COL1A2, COL1A1, COL6A3, and COL5A1), DCN, FBLN1, and POSTN, were significantly upregulated in metastatic tumors compared with those in primary tumors and, thus, potentially offer insight into novel therapeutic and early diagnostic biomarkers of ccRCC. Frontiers Media S.A. 2021-02-04 /pmc/articles/PMC7889952/ /pubmed/33613617 http://dx.doi.org/10.3389/fgene.2020.603455 Text en Copyright © 2021 Gao, Yan, Zhang, Fan, Jiao and Shao. 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 | Genetics Gao, Suhua Yan, Lei Zhang, Hongtao Fan, Xiaoguang Jiao, Xiaojing Shao, Fengmin Identification of a Metastasis-Associated Gene Signature of Clear Cell Renal Cell Carcinoma |
title | Identification of a Metastasis-Associated Gene Signature of Clear Cell Renal Cell Carcinoma |
title_full | Identification of a Metastasis-Associated Gene Signature of Clear Cell Renal Cell Carcinoma |
title_fullStr | Identification of a Metastasis-Associated Gene Signature of Clear Cell Renal Cell Carcinoma |
title_full_unstemmed | Identification of a Metastasis-Associated Gene Signature of Clear Cell Renal Cell Carcinoma |
title_short | Identification of a Metastasis-Associated Gene Signature of Clear Cell Renal Cell Carcinoma |
title_sort | identification of a metastasis-associated gene signature of clear cell renal cell carcinoma |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889952/ https://www.ncbi.nlm.nih.gov/pubmed/33613617 http://dx.doi.org/10.3389/fgene.2020.603455 |
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