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The core genes of cuproptosis assists in discerning prognostic and immunological traits of clear cell renal cell carcinoma

OBJECTIVE: Cuproptosis, a nascent and unique pattern of cell death, is poised to spark a new rush of biological research. Yet, the subsumed mechanism of cuproptosis in carcinoma is not wholly clarified. The exclusive aim of this work is to define a novel classification algorithm and risk-prognosis s...

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Autores principales: Chu, Binxiang, Hong, Zhenghua, Zheng, Xiaohe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533068/
https://www.ncbi.nlm.nih.gov/pubmed/36212447
http://dx.doi.org/10.3389/fonc.2022.925411
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author Chu, Binxiang
Hong, Zhenghua
Zheng, Xiaohe
author_facet Chu, Binxiang
Hong, Zhenghua
Zheng, Xiaohe
author_sort Chu, Binxiang
collection PubMed
description OBJECTIVE: Cuproptosis, a nascent and unique pattern of cell death, is poised to spark a new rush of biological research. Yet, the subsumed mechanism of cuproptosis in carcinoma is not wholly clarified. The exclusive aim of this work is to define a novel classification algorithm and risk-prognosis scoring framework based on the expression modalities of cuproptosis genes to monitor clear cell renal cell carcinoma (ccRCC) patients’ prognosis and immunotherapeutic response. METHODS: We pooled ccRCC data from three large-scale databases as the training subset and gathered a panel of clinical queues, termed the Taizhou cohort, which served as the validation setup. Wilcox test was conducted for comparison of expression variation, while the cox analysis and KM curves were utilized to visualize prognosis. Unsupervised clustering analysis was used to identify cuproptosis phenotypes in ccRCC. Concurrently, LASSO regression-based computational scoring model. A step further, gene set enrichment analysis (GSEA) was performed to check potential biological processes and the “CIBERSORT” R package was used to estimate the proportion of immune cells. To last, immunohistochemistry and qRT-PCR were carried out for the assay of critical genes for cuproptosis. RESULTS: Here, we glimpse the prognostic power of cuproptosis genes in pan-cancer by investigating 33 cancers with multi-omics data to map their genetic heterogeneity landscape. In parallel, we devoted extra attention to their strategic potential role in ccRCC, identifying two phenotypes of cuproptosis with different immune microenvironmental characteristics by pooling ccRCC data from three large-scale databases. Additionally, we compiled a cuproptosis scoring system for clinicians to determine the prognosis, immunotherapy response, and chemosensitivity of ccRCC patients. Notably, we assembled a clinical cohort sample to validate the pivotal gene for cuproptosis, FDX1, to supply more clues to translate the biological significance of cuproptosis in ccRCC. CONCLUSION: In all, our investigations highlight that cuproptosis is involved in various components of ccRCC and assists in the formation of the tumor immune microenvironment. These results provide partial insights to further comprehend the molecular mechanisms of cuproptosis in ccRCC and could be helpful for the development of personalized therapeutic strategies targeting copper or cuproptosis.
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spelling pubmed-95330682022-10-06 The core genes of cuproptosis assists in discerning prognostic and immunological traits of clear cell renal cell carcinoma Chu, Binxiang Hong, Zhenghua Zheng, Xiaohe Front Oncol Oncology OBJECTIVE: Cuproptosis, a nascent and unique pattern of cell death, is poised to spark a new rush of biological research. Yet, the subsumed mechanism of cuproptosis in carcinoma is not wholly clarified. The exclusive aim of this work is to define a novel classification algorithm and risk-prognosis scoring framework based on the expression modalities of cuproptosis genes to monitor clear cell renal cell carcinoma (ccRCC) patients’ prognosis and immunotherapeutic response. METHODS: We pooled ccRCC data from three large-scale databases as the training subset and gathered a panel of clinical queues, termed the Taizhou cohort, which served as the validation setup. Wilcox test was conducted for comparison of expression variation, while the cox analysis and KM curves were utilized to visualize prognosis. Unsupervised clustering analysis was used to identify cuproptosis phenotypes in ccRCC. Concurrently, LASSO regression-based computational scoring model. A step further, gene set enrichment analysis (GSEA) was performed to check potential biological processes and the “CIBERSORT” R package was used to estimate the proportion of immune cells. To last, immunohistochemistry and qRT-PCR were carried out for the assay of critical genes for cuproptosis. RESULTS: Here, we glimpse the prognostic power of cuproptosis genes in pan-cancer by investigating 33 cancers with multi-omics data to map their genetic heterogeneity landscape. In parallel, we devoted extra attention to their strategic potential role in ccRCC, identifying two phenotypes of cuproptosis with different immune microenvironmental characteristics by pooling ccRCC data from three large-scale databases. Additionally, we compiled a cuproptosis scoring system for clinicians to determine the prognosis, immunotherapy response, and chemosensitivity of ccRCC patients. Notably, we assembled a clinical cohort sample to validate the pivotal gene for cuproptosis, FDX1, to supply more clues to translate the biological significance of cuproptosis in ccRCC. CONCLUSION: In all, our investigations highlight that cuproptosis is involved in various components of ccRCC and assists in the formation of the tumor immune microenvironment. These results provide partial insights to further comprehend the molecular mechanisms of cuproptosis in ccRCC and could be helpful for the development of personalized therapeutic strategies targeting copper or cuproptosis. Frontiers Media S.A. 2022-09-21 /pmc/articles/PMC9533068/ /pubmed/36212447 http://dx.doi.org/10.3389/fonc.2022.925411 Text en Copyright © 2022 Chu, Hong and Zheng 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
Chu, Binxiang
Hong, Zhenghua
Zheng, Xiaohe
The core genes of cuproptosis assists in discerning prognostic and immunological traits of clear cell renal cell carcinoma
title The core genes of cuproptosis assists in discerning prognostic and immunological traits of clear cell renal cell carcinoma
title_full The core genes of cuproptosis assists in discerning prognostic and immunological traits of clear cell renal cell carcinoma
title_fullStr The core genes of cuproptosis assists in discerning prognostic and immunological traits of clear cell renal cell carcinoma
title_full_unstemmed The core genes of cuproptosis assists in discerning prognostic and immunological traits of clear cell renal cell carcinoma
title_short The core genes of cuproptosis assists in discerning prognostic and immunological traits of clear cell renal cell carcinoma
title_sort core genes of cuproptosis assists in discerning prognostic and immunological traits of clear cell renal cell carcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533068/
https://www.ncbi.nlm.nih.gov/pubmed/36212447
http://dx.doi.org/10.3389/fonc.2022.925411
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