z-logo
open-access-imgOpen Access
Redox Metabolism-Associated Molecular Classification of Clear Cell Renal Cell Carcinoma
Author(s) -
Xiangling Wei,
Weiming Deng,
Zhanwen Dong,
You Luo,
Xiao Hu,
Jinhua Zhang,
Zhenwei Xie,
Tong Zheng,
Yuqin Tan,
Zuofu Tang,
Heng Li,
Ning Na
Publication year - 2022
Publication title -
oxidative medicine and cellular longevity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.494
H-Index - 93
eISSN - 1942-0900
pISSN - 1942-0994
DOI - 10.1155/2022/5831247
Subject(s) - clear cell renal cell carcinoma , biology , cancer research , gene , cancer , renal cell carcinoma , genetics , medicine
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom