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CGN Correlates With the Prognosis and Tumor Immune Microenvironment in Clear Cell Renal Cell Carcinoma

This study aimed to screen and verify the important prognostic genes related to clear cell renal cell carcinoma (ccRCC) and further analyze their relationship with the immune microenvironment. Gene expression profiles from the TCGA-KIRC, GSE46699, GSE36895, and GSE16449 datasets were utilized to exp...

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Autores principales: Tian, Zijian, Meng, Lingfeng, Wang, Xin, Diao, Tongxiang, Hu, Maolin, Wang, Miao, Zhang, Yaqun, Liu, Ming, Wang, Jianye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8865610/
https://www.ncbi.nlm.nih.gov/pubmed/35223987
http://dx.doi.org/10.3389/fmolb.2022.758974
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author Tian, Zijian
Meng, Lingfeng
Wang, Xin
Diao, Tongxiang
Hu, Maolin
Wang, Miao
Zhang, Yaqun
Liu, Ming
Wang, Jianye
author_facet Tian, Zijian
Meng, Lingfeng
Wang, Xin
Diao, Tongxiang
Hu, Maolin
Wang, Miao
Zhang, Yaqun
Liu, Ming
Wang, Jianye
author_sort Tian, Zijian
collection PubMed
description This study aimed to screen and verify the important prognostic genes related to clear cell renal cell carcinoma (ccRCC) and further analyze their relationship with the immune microenvironment. Gene expression profiles from the TCGA-KIRC, GSE46699, GSE36895, and GSE16449 datasets were utilized to explore differentially co-expressed genes in ccRCC. We screened 124 differentially co-expressed genes using a weighted gene co-expression network and differential gene expression analyses. Univariate and multivariate Cox survival analyses revealed that the expressions of genes CGN, FECH, UCHL1, and WT1 were independently related to the overall survival of ccRCC patients. Kaplan–Meier survival analysis was performed, and CGN was found to have the strongest correlation with the prognosis of ccRCC patients and was consequently selected for further analyses and experimental verification. The results showed that NK cell activation, resting dendritic cells, resting monocytes, and resting mast cells were positively correlated with CGN expression; CD4(+) memory activated T cells, regulatory T cells, and M0 macrophages were negatively correlated with CGN expression. Finally, using western blotting and reverse transcription polymerase chain reaction, we verified that the CGN protein level was down-regulated in ccRCC samples, which was consistent with the mRNA levels. CGN was thus identified as diagnosis and prognosis biomarker for ccRCC and is related to the immune microenvironment.
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spelling pubmed-88656102022-02-24 CGN Correlates With the Prognosis and Tumor Immune Microenvironment in Clear Cell Renal Cell Carcinoma Tian, Zijian Meng, Lingfeng Wang, Xin Diao, Tongxiang Hu, Maolin Wang, Miao Zhang, Yaqun Liu, Ming Wang, Jianye Front Mol Biosci Molecular Biosciences This study aimed to screen and verify the important prognostic genes related to clear cell renal cell carcinoma (ccRCC) and further analyze their relationship with the immune microenvironment. Gene expression profiles from the TCGA-KIRC, GSE46699, GSE36895, and GSE16449 datasets were utilized to explore differentially co-expressed genes in ccRCC. We screened 124 differentially co-expressed genes using a weighted gene co-expression network and differential gene expression analyses. Univariate and multivariate Cox survival analyses revealed that the expressions of genes CGN, FECH, UCHL1, and WT1 were independently related to the overall survival of ccRCC patients. Kaplan–Meier survival analysis was performed, and CGN was found to have the strongest correlation with the prognosis of ccRCC patients and was consequently selected for further analyses and experimental verification. The results showed that NK cell activation, resting dendritic cells, resting monocytes, and resting mast cells were positively correlated with CGN expression; CD4(+) memory activated T cells, regulatory T cells, and M0 macrophages were negatively correlated with CGN expression. Finally, using western blotting and reverse transcription polymerase chain reaction, we verified that the CGN protein level was down-regulated in ccRCC samples, which was consistent with the mRNA levels. CGN was thus identified as diagnosis and prognosis biomarker for ccRCC and is related to the immune microenvironment. Frontiers Media S.A. 2022-02-09 /pmc/articles/PMC8865610/ /pubmed/35223987 http://dx.doi.org/10.3389/fmolb.2022.758974 Text en Copyright © 2022 Tian, Meng, Wang, Diao, Hu, Wang, Zhang, Liu and Wang. https://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 Molecular Biosciences
Tian, Zijian
Meng, Lingfeng
Wang, Xin
Diao, Tongxiang
Hu, Maolin
Wang, Miao
Zhang, Yaqun
Liu, Ming
Wang, Jianye
CGN Correlates With the Prognosis and Tumor Immune Microenvironment in Clear Cell Renal Cell Carcinoma
title CGN Correlates With the Prognosis and Tumor Immune Microenvironment in Clear Cell Renal Cell Carcinoma
title_full CGN Correlates With the Prognosis and Tumor Immune Microenvironment in Clear Cell Renal Cell Carcinoma
title_fullStr CGN Correlates With the Prognosis and Tumor Immune Microenvironment in Clear Cell Renal Cell Carcinoma
title_full_unstemmed CGN Correlates With the Prognosis and Tumor Immune Microenvironment in Clear Cell Renal Cell Carcinoma
title_short CGN Correlates With the Prognosis and Tumor Immune Microenvironment in Clear Cell Renal Cell Carcinoma
title_sort cgn correlates with the prognosis and tumor immune microenvironment in clear cell renal cell carcinoma
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8865610/
https://www.ncbi.nlm.nih.gov/pubmed/35223987
http://dx.doi.org/10.3389/fmolb.2022.758974
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