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Expression of basement membrane genes and their prognostic significance in clear cell renal cell carcinoma patients
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is a malignant tumor with limited treatment options. A recent study confirmed the involvement of basement membrane (BM) genes in the progression of many cancers. Therefore, we studied the role and prognostic significance of BM genes in ccRCC. METHO...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637577/ https://www.ncbi.nlm.nih.gov/pubmed/36353536 http://dx.doi.org/10.3389/fonc.2022.1026331 |
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author | Tao, Junyue Li, Xiao Liang, Chaozhao Liu, Yi Zhou, Jun |
author_facet | Tao, Junyue Li, Xiao Liang, Chaozhao Liu, Yi Zhou, Jun |
author_sort | Tao, Junyue |
collection | PubMed |
description | BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is a malignant tumor with limited treatment options. A recent study confirmed the involvement of basement membrane (BM) genes in the progression of many cancers. Therefore, we studied the role and prognostic significance of BM genes in ccRCC. METHODS: Co-expression analysis of ccRCC-related information deposited in The Cancer Genome Atlas database and a BM geneset from a recent study was conducted. The differentially expressed BM genes were validated using quantitative reverse-transcription polymerase chain reaction (qRT-PCR). Least absolute shrinkage and selection operator regression and univariate Cox regression analyses were performed to identify a BM gene signature with prognostic significance for ccRCC. Multivariate Cox regression, time-dependent receiver operating characteristic, Kaplan–Meier, and nomogram analyses were implemented to appraise the prognostic ability of the signature and the findings were further verified using a Gene Expression Omnibus dataset. Additionally, immune cell infiltration and and pathway enrichment analyses were performed using ImmuCellAI and Gene Set Enrichment Analysis (GSEA), respectively. Finally, the DSIGDB dataset was used to screen small-molecule therapeutic drugs that may be useful in treating ccRCC patients. RESULTS: We identified 108 BM genes exhibiting different expression levels compared to that in normal kidney tissues, among which 32 genes had prognostic values. The qRT-PCR analyses confirmed that the expression patterns of four of the ten selected genes were the same as the predicted ones. Additionally, we successfully established and validated a ccRCC patient prediction model based on 16 BM genes and observed that the model function is an independent predictor. GSEA revealed that differentially expressed BM genes mainly displayed significant enrichment of tumor and metabolic signaling cascades. The BM gene signature was also associated with immune cell infiltration and checkpoints. Eight small-molecule drugs may have therapeutic effects on ccRCC patients. CONCLUSION: This study explored the function of BM genes in ccRCC for the first time. Reliable prognostic biomarkers that affect the survival of ccRCC patients were determined, and a BM gene-based prognostic model was established. |
format | Online Article Text |
id | pubmed-9637577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96375772022-11-08 Expression of basement membrane genes and their prognostic significance in clear cell renal cell carcinoma patients Tao, Junyue Li, Xiao Liang, Chaozhao Liu, Yi Zhou, Jun Front Oncol Oncology BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is a malignant tumor with limited treatment options. A recent study confirmed the involvement of basement membrane (BM) genes in the progression of many cancers. Therefore, we studied the role and prognostic significance of BM genes in ccRCC. METHODS: Co-expression analysis of ccRCC-related information deposited in The Cancer Genome Atlas database and a BM geneset from a recent study was conducted. The differentially expressed BM genes were validated using quantitative reverse-transcription polymerase chain reaction (qRT-PCR). Least absolute shrinkage and selection operator regression and univariate Cox regression analyses were performed to identify a BM gene signature with prognostic significance for ccRCC. Multivariate Cox regression, time-dependent receiver operating characteristic, Kaplan–Meier, and nomogram analyses were implemented to appraise the prognostic ability of the signature and the findings were further verified using a Gene Expression Omnibus dataset. Additionally, immune cell infiltration and and pathway enrichment analyses were performed using ImmuCellAI and Gene Set Enrichment Analysis (GSEA), respectively. Finally, the DSIGDB dataset was used to screen small-molecule therapeutic drugs that may be useful in treating ccRCC patients. RESULTS: We identified 108 BM genes exhibiting different expression levels compared to that in normal kidney tissues, among which 32 genes had prognostic values. The qRT-PCR analyses confirmed that the expression patterns of four of the ten selected genes were the same as the predicted ones. Additionally, we successfully established and validated a ccRCC patient prediction model based on 16 BM genes and observed that the model function is an independent predictor. GSEA revealed that differentially expressed BM genes mainly displayed significant enrichment of tumor and metabolic signaling cascades. The BM gene signature was also associated with immune cell infiltration and checkpoints. Eight small-molecule drugs may have therapeutic effects on ccRCC patients. CONCLUSION: This study explored the function of BM genes in ccRCC for the first time. Reliable prognostic biomarkers that affect the survival of ccRCC patients were determined, and a BM gene-based prognostic model was established. Frontiers Media S.A. 2022-10-24 /pmc/articles/PMC9637577/ /pubmed/36353536 http://dx.doi.org/10.3389/fonc.2022.1026331 Text en Copyright © 2022 Tao, Li, Liang, Liu and Zhou 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 | Oncology Tao, Junyue Li, Xiao Liang, Chaozhao Liu, Yi Zhou, Jun Expression of basement membrane genes and their prognostic significance in clear cell renal cell carcinoma patients |
title | Expression of basement membrane genes and their prognostic significance in clear cell renal cell carcinoma patients |
title_full | Expression of basement membrane genes and their prognostic significance in clear cell renal cell carcinoma patients |
title_fullStr | Expression of basement membrane genes and their prognostic significance in clear cell renal cell carcinoma patients |
title_full_unstemmed | Expression of basement membrane genes and their prognostic significance in clear cell renal cell carcinoma patients |
title_short | Expression of basement membrane genes and their prognostic significance in clear cell renal cell carcinoma patients |
title_sort | expression of basement membrane genes and their prognostic significance in clear cell renal cell carcinoma patients |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637577/ https://www.ncbi.nlm.nih.gov/pubmed/36353536 http://dx.doi.org/10.3389/fonc.2022.1026331 |
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