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Redox Metabolism-Associated Molecular Classification of Clear Cell Renal Cell Carcinoma

Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma. Redox metabolism has been recognized as the hallmark of cancer. But the concrete role of redox-related genes in patient stratification of ccRCC remains unknown. Herein, we aimed to characterize the molecular...

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Autores principales: Wei, Xiangling, Deng, Weiming, Dong, Zhanwen, Luo, You, Hu, Xiao, Zhang, Jinhua, Xie, Zhenwei, Zheng, Tong, Tan, Yuqin, Tang, Zuofu, Li, Heng, Na, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799361/
https://www.ncbi.nlm.nih.gov/pubmed/35096270
http://dx.doi.org/10.1155/2022/5831247
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author Wei, Xiangling
Deng, Weiming
Dong, Zhanwen
Luo, You
Hu, Xiao
Zhang, Jinhua
Xie, Zhenwei
Zheng, Tong
Tan, Yuqin
Tang, Zuofu
Li, Heng
Na, Ning
author_facet Wei, Xiangling
Deng, Weiming
Dong, Zhanwen
Luo, You
Hu, Xiao
Zhang, Jinhua
Xie, Zhenwei
Zheng, Tong
Tan, Yuqin
Tang, Zuofu
Li, Heng
Na, Ning
author_sort Wei, Xiangling
collection PubMed
description Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma. Redox metabolism has been recognized as the hallmark of cancer. But the concrete role of redox-related genes in patient stratification of ccRCC remains unknown. Herein, we aimed to characterize the molecular features of ccRCC based on the redox gene expression profiles from The Cancer Genome Atlas. Differentially expressed redox genes (DERGs) and vital genes in metabolism regulation were identified and analyzed in the ccRCC. Consensus clustering was performed to divide patients into three clusters (C1, C2, and C3) based on 139 redox genes with median FPKM value > 1. We analyzed the correlation of clusters with clinicopathological characteristics, immune infiltration, gene mutation, and response to immunotherapy. Subclass C1 was metabolic active with moderate prognosis and associated with glucose, lipid, and protein metabolism. C2 had intermediate metabolic activity with worse prognosis and correlated with more tumor mutation burden, neoantigen, and aneuploidy, indicating possible drug sensitivities towards immune checkpoint inhibitors. Metabolic exhausted subtype C3 showed high cytolytic activity score, suggesting better prognosis than C1 and C2. Moreover, the qRT-PCR was performed to verify the expression of downregulated DERGs including ALDH6A1, ALDH1L1, GLRX5, ALDH1A3, and GSTM3, and upregulated SHMT1 in ccRCC. Overall, our study provides an insight into the characteristics of molecular classification of ccRCC patients based on redox genes, thereby deepening the understanding of heterogeneity of ccRCC and allowing prediction of prognosis of ccRCC patients.
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spelling pubmed-87993612022-01-29 Redox Metabolism-Associated Molecular Classification of Clear Cell Renal Cell Carcinoma Wei, Xiangling Deng, Weiming Dong, Zhanwen Luo, You Hu, Xiao Zhang, Jinhua Xie, Zhenwei Zheng, Tong Tan, Yuqin Tang, Zuofu Li, Heng Na, Ning Oxid Med Cell Longev Research Article Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma. Redox metabolism has been recognized as the hallmark of cancer. But the concrete role of redox-related genes in patient stratification of ccRCC remains unknown. Herein, we aimed to characterize the molecular features of ccRCC based on the redox gene expression profiles from The Cancer Genome Atlas. Differentially expressed redox genes (DERGs) and vital genes in metabolism regulation were identified and analyzed in the ccRCC. Consensus clustering was performed to divide patients into three clusters (C1, C2, and C3) based on 139 redox genes with median FPKM value > 1. We analyzed the correlation of clusters with clinicopathological characteristics, immune infiltration, gene mutation, and response to immunotherapy. Subclass C1 was metabolic active with moderate prognosis and associated with glucose, lipid, and protein metabolism. C2 had intermediate metabolic activity with worse prognosis and correlated with more tumor mutation burden, neoantigen, and aneuploidy, indicating possible drug sensitivities towards immune checkpoint inhibitors. Metabolic exhausted subtype C3 showed high cytolytic activity score, suggesting better prognosis than C1 and C2. Moreover, the qRT-PCR was performed to verify the expression of downregulated DERGs including ALDH6A1, ALDH1L1, GLRX5, ALDH1A3, and GSTM3, and upregulated SHMT1 in ccRCC. Overall, our study provides an insight into the characteristics of molecular classification of ccRCC patients based on redox genes, thereby deepening the understanding of heterogeneity of ccRCC and allowing prediction of prognosis of ccRCC patients. Hindawi 2022-01-21 /pmc/articles/PMC8799361/ /pubmed/35096270 http://dx.doi.org/10.1155/2022/5831247 Text en Copyright © 2022 Xiangling Wei 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
Wei, Xiangling
Deng, Weiming
Dong, Zhanwen
Luo, You
Hu, Xiao
Zhang, Jinhua
Xie, Zhenwei
Zheng, Tong
Tan, Yuqin
Tang, Zuofu
Li, Heng
Na, Ning
Redox Metabolism-Associated Molecular Classification of Clear Cell Renal Cell Carcinoma
title Redox Metabolism-Associated Molecular Classification of Clear Cell Renal Cell Carcinoma
title_full Redox Metabolism-Associated Molecular Classification of Clear Cell Renal Cell Carcinoma
title_fullStr Redox Metabolism-Associated Molecular Classification of Clear Cell Renal Cell Carcinoma
title_full_unstemmed Redox Metabolism-Associated Molecular Classification of Clear Cell Renal Cell Carcinoma
title_short Redox Metabolism-Associated Molecular Classification of Clear Cell Renal Cell Carcinoma
title_sort redox metabolism-associated molecular classification of clear cell renal cell carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799361/
https://www.ncbi.nlm.nih.gov/pubmed/35096270
http://dx.doi.org/10.1155/2022/5831247
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