Cuproptosis in ccRCC: key player in therapeutic and prognostic targets

BackgroundClassical biomarkers have been used to classify clear cell renal cell carcinoma (ccRCC) patients in a variety of ways, and emerging evidences have indicated that cuproptosis is closely related to mitochondrial metabolism, thereby accelerating the development and progression of ccRCC. Never...

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Main Authors: Yang Lv, Qiang Li, Lu Yin, Shaohua He, Chao Qin, Zhongwen Lu, Hongqi Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1271864/full
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author Yang Lv
Qiang Li
Lu Yin
Shaohua He
Chao Qin
Zhongwen Lu
Hongqi Chen
author_facet Yang Lv
Qiang Li
Lu Yin
Shaohua He
Chao Qin
Zhongwen Lu
Hongqi Chen
author_sort Yang Lv
collection DOAJ
description BackgroundClassical biomarkers have been used to classify clear cell renal cell carcinoma (ccRCC) patients in a variety of ways, and emerging evidences have indicated that cuproptosis is closely related to mitochondrial metabolism, thereby accelerating the development and progression of ccRCC. Nevertheless, the specific relationship between cuproptosis and the prognosis and treatment of ccRCC remains unclear.MethodsWe comprehensively integrated several ccRCC patient datasets into a large cohort. Following that, we systematically analyzed multi-omics data to demonstrate the differences between two cuproptosis clusters.ResultsWe identified two cuproptosis clusters in ccRCC patients. Among the two clusters, cluster 1 patients showed favorable prognosis. We then confirmed the significant differences between the two clusters, including more typical cancer hallmarks were enriched in cluster 2 patients; cluster 2 patients were more susceptible to develop mutations and had a lower level of gistic score and mRNAsi. Importantly, both Tumor Immune Dysfunction and Exclusion analysis and subclass mapping algorithm showed that cuproptosis 1 patients were more susceptible to be responded to immunotherapy. In addition, a prognostic signature was successfully developed and also showed prominent predictive power in response to immunotherapy.ConclusionAs a result of our findings, we were able to classify ccRCC patients according to cuproptosis in a novel way. By constructing the cuproptosis clusters and developing the signature, patients with ccRCC could have a more accurate prognosis prediction and better immunotherapy options.
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spelling doaj.art-98d088af14de4aa0b45d5090025d64982023-10-29T17:12:25ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-10-011310.3389/fonc.2023.12718641271864Cuproptosis in ccRCC: key player in therapeutic and prognostic targetsYang Lv0Qiang Li1Lu Yin2Shaohua He3Chao Qin4Zhongwen Lu5Hongqi Chen6Department of Urology, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, ChinaDepartment of Urology, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, ChinaDepartment of Traditional Chinese Medicine, Hong Kong Baptist University, Hong Kong, Hong Kong SAR, ChinaDepartment of Urology, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, ChinaDepartment of Urology, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, ChinaDepartment of Urology, The Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Urology, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, ChinaBackgroundClassical biomarkers have been used to classify clear cell renal cell carcinoma (ccRCC) patients in a variety of ways, and emerging evidences have indicated that cuproptosis is closely related to mitochondrial metabolism, thereby accelerating the development and progression of ccRCC. Nevertheless, the specific relationship between cuproptosis and the prognosis and treatment of ccRCC remains unclear.MethodsWe comprehensively integrated several ccRCC patient datasets into a large cohort. Following that, we systematically analyzed multi-omics data to demonstrate the differences between two cuproptosis clusters.ResultsWe identified two cuproptosis clusters in ccRCC patients. Among the two clusters, cluster 1 patients showed favorable prognosis. We then confirmed the significant differences between the two clusters, including more typical cancer hallmarks were enriched in cluster 2 patients; cluster 2 patients were more susceptible to develop mutations and had a lower level of gistic score and mRNAsi. Importantly, both Tumor Immune Dysfunction and Exclusion analysis and subclass mapping algorithm showed that cuproptosis 1 patients were more susceptible to be responded to immunotherapy. In addition, a prognostic signature was successfully developed and also showed prominent predictive power in response to immunotherapy.ConclusionAs a result of our findings, we were able to classify ccRCC patients according to cuproptosis in a novel way. By constructing the cuproptosis clusters and developing the signature, patients with ccRCC could have a more accurate prognosis prediction and better immunotherapy options.https://www.frontiersin.org/articles/10.3389/fonc.2023.1271864/fullclear cell renal cell carcinomacuproptosistumor immune microenvironmentimmunotherapyprognosis
spellingShingle Yang Lv
Qiang Li
Lu Yin
Shaohua He
Chao Qin
Zhongwen Lu
Hongqi Chen
Cuproptosis in ccRCC: key player in therapeutic and prognostic targets
Frontiers in Oncology
clear cell renal cell carcinoma
cuproptosis
tumor immune microenvironment
immunotherapy
prognosis
title Cuproptosis in ccRCC: key player in therapeutic and prognostic targets
title_full Cuproptosis in ccRCC: key player in therapeutic and prognostic targets
title_fullStr Cuproptosis in ccRCC: key player in therapeutic and prognostic targets
title_full_unstemmed Cuproptosis in ccRCC: key player in therapeutic and prognostic targets
title_short Cuproptosis in ccRCC: key player in therapeutic and prognostic targets
title_sort cuproptosis in ccrcc key player in therapeutic and prognostic targets
topic clear cell renal cell carcinoma
cuproptosis
tumor immune microenvironment
immunotherapy
prognosis
url https://www.frontiersin.org/articles/10.3389/fonc.2023.1271864/full
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