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A 20-Gene Signature Predicting Survival in Patients with Clear Cell Renal Cell Carcinoma Based on Basement Membrane

OBJECTIVES: The most common subtype of renal cell carcinoma, clear cell renal cell carcinoma (ccRCC), has a high heterogeneity and aggressive nature. The basement membrane (BM) is known to play a vital role in tumor metastasis. BM-related genes remain untested in ccRCC, however, in terms of their pr...

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Autores principales: Yin, Zhenjie, Zhao, Yu, Zhou, Weiwen, You, Chengcheng, Bai, Yuanyuan, You, Bingyong, Lu, Dongming, Liao, Shangfan, Zheng, Luoping, Sun, Yingming, Wu, Yongyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118896/
https://www.ncbi.nlm.nih.gov/pubmed/37089260
http://dx.doi.org/10.1155/2023/1302278
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author Yin, Zhenjie
Zhao, Yu
Zhou, Weiwen
You, Chengcheng
Bai, Yuanyuan
You, Bingyong
Lu, Dongming
Liao, Shangfan
Zheng, Luoping
Sun, Yingming
Wu, Yongyang
author_facet Yin, Zhenjie
Zhao, Yu
Zhou, Weiwen
You, Chengcheng
Bai, Yuanyuan
You, Bingyong
Lu, Dongming
Liao, Shangfan
Zheng, Luoping
Sun, Yingming
Wu, Yongyang
author_sort Yin, Zhenjie
collection PubMed
description OBJECTIVES: The most common subtype of renal cell carcinoma, clear cell renal cell carcinoma (ccRCC), has a high heterogeneity and aggressive nature. The basement membrane (BM) is known to play a vital role in tumor metastasis. BM-related genes remain untested in ccRCC, however, in terms of their prognostic significance. METHODS: BM-related genes were gleaned from the most recent cutting-edge research. The RNA-seq and clinical data of the ccRCC were obtained from TCGA and GEO databases, respectively. The multigene signature was constructed using the univariate Cox regression and the LASSO regression algorithm. Then, clinical features and prognostic signatures were combined to form a nomogram to predict individual survival probabilities. Using functional enrichment analysis and immune-correlation analysis, we investigated potential enrichment pathways and immunological characteristics associated with BM-related-gene signature. RESULTS: In this study, we built a model of 20 BM-related genes and classified them as high-risk or low-risk, with each having its anticipated risk profile. Patients in the high-risk group showed significantly reduced OS compared with patients in the low-risk group in the TCGA cohort, as was confirmed by the testing dataset. Functional analysis showed that the BM-based model was linked to cell-substrate adhesion and tumor-related signaling pathways. Comparative analysis of immune cell infiltration degrees and immune checkpoints reveals a central role for BM-related genes in controlling the interplay between the immune interaction and the tumor microenvironment of ccRCC. CONCLUSIONS: We combined clinical characteristics known to predict the prognosis of ccRCC patients to create a gene signature associated with BM. Our findings may also be useful for forecasting how well immunotherapies would work against ccRCC. Targeting BM may be a therapeutic alternative for ccRCC, but the underlying mechanism still needs further exploration.
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spelling pubmed-101188962023-04-21 A 20-Gene Signature Predicting Survival in Patients with Clear Cell Renal Cell Carcinoma Based on Basement Membrane Yin, Zhenjie Zhao, Yu Zhou, Weiwen You, Chengcheng Bai, Yuanyuan You, Bingyong Lu, Dongming Liao, Shangfan Zheng, Luoping Sun, Yingming Wu, Yongyang J Oncol Research Article OBJECTIVES: The most common subtype of renal cell carcinoma, clear cell renal cell carcinoma (ccRCC), has a high heterogeneity and aggressive nature. The basement membrane (BM) is known to play a vital role in tumor metastasis. BM-related genes remain untested in ccRCC, however, in terms of their prognostic significance. METHODS: BM-related genes were gleaned from the most recent cutting-edge research. The RNA-seq and clinical data of the ccRCC were obtained from TCGA and GEO databases, respectively. The multigene signature was constructed using the univariate Cox regression and the LASSO regression algorithm. Then, clinical features and prognostic signatures were combined to form a nomogram to predict individual survival probabilities. Using functional enrichment analysis and immune-correlation analysis, we investigated potential enrichment pathways and immunological characteristics associated with BM-related-gene signature. RESULTS: In this study, we built a model of 20 BM-related genes and classified them as high-risk or low-risk, with each having its anticipated risk profile. Patients in the high-risk group showed significantly reduced OS compared with patients in the low-risk group in the TCGA cohort, as was confirmed by the testing dataset. Functional analysis showed that the BM-based model was linked to cell-substrate adhesion and tumor-related signaling pathways. Comparative analysis of immune cell infiltration degrees and immune checkpoints reveals a central role for BM-related genes in controlling the interplay between the immune interaction and the tumor microenvironment of ccRCC. CONCLUSIONS: We combined clinical characteristics known to predict the prognosis of ccRCC patients to create a gene signature associated with BM. Our findings may also be useful for forecasting how well immunotherapies would work against ccRCC. Targeting BM may be a therapeutic alternative for ccRCC, but the underlying mechanism still needs further exploration. Hindawi 2023-04-08 /pmc/articles/PMC10118896/ /pubmed/37089260 http://dx.doi.org/10.1155/2023/1302278 Text en Copyright © 2023 Zhenjie Yin et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yin, Zhenjie
Zhao, Yu
Zhou, Weiwen
You, Chengcheng
Bai, Yuanyuan
You, Bingyong
Lu, Dongming
Liao, Shangfan
Zheng, Luoping
Sun, Yingming
Wu, Yongyang
A 20-Gene Signature Predicting Survival in Patients with Clear Cell Renal Cell Carcinoma Based on Basement Membrane
title A 20-Gene Signature Predicting Survival in Patients with Clear Cell Renal Cell Carcinoma Based on Basement Membrane
title_full A 20-Gene Signature Predicting Survival in Patients with Clear Cell Renal Cell Carcinoma Based on Basement Membrane
title_fullStr A 20-Gene Signature Predicting Survival in Patients with Clear Cell Renal Cell Carcinoma Based on Basement Membrane
title_full_unstemmed A 20-Gene Signature Predicting Survival in Patients with Clear Cell Renal Cell Carcinoma Based on Basement Membrane
title_short A 20-Gene Signature Predicting Survival in Patients with Clear Cell Renal Cell Carcinoma Based on Basement Membrane
title_sort 20-gene signature predicting survival in patients with clear cell renal cell carcinoma based on basement membrane
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118896/
https://www.ncbi.nlm.nih.gov/pubmed/37089260
http://dx.doi.org/10.1155/2023/1302278
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