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Cuproptosis-related lncRNA: Prediction of prognosis and subtype determination in clear cell renal cell carcinoma

Background: Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cell carcinoma, accounting for approximately 70% of all RCC cases. Cuproptosis, a novel mechanism of cell death, may be a potential target for intervention in tumor development. Methods: Cuproptosis-related prognost...

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Autores principales: Huili, Youlong, Nie, Shiwen, Zhang, Liguo, Yao, Anliang, Liu, Jian, Wang, Yong, Wang, Lei, Cao, Fenghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441767/
https://www.ncbi.nlm.nih.gov/pubmed/36072656
http://dx.doi.org/10.3389/fgene.2022.958547
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author Huili, Youlong
Nie, Shiwen
Zhang, Liguo
Yao, Anliang
Liu, Jian
Wang, Yong
Wang, Lei
Cao, Fenghong
author_facet Huili, Youlong
Nie, Shiwen
Zhang, Liguo
Yao, Anliang
Liu, Jian
Wang, Yong
Wang, Lei
Cao, Fenghong
author_sort Huili, Youlong
collection PubMed
description Background: Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cell carcinoma, accounting for approximately 70% of all RCC cases. Cuproptosis, a novel mechanism of cell death, may be a potential target for intervention in tumor development. Methods: Cuproptosis-related prognostic lncRNAs were identified by co-expression analysis and univariable Cox regression. Five lncRNA profiles were obtained by LASSO regression analysis, and a model with high accuracy was constructed to assess the prognosis of ccRCC patients based on these cuproptosis-related lncRNAs. Survival analysis and time-dependent ROC curves were performed for the α and β groups, and the results confirmed the high accuracy of the model in predicting the prognosis of ccRCC patients. Immunoassay, principal component analysis (PCA), and drug sensitivity analysis were also performed for different risk categories. Finally, we classified ccRCC patients into two different subtypes by consistent class clustering, and performed immune checkpoint activation, tumor microenvironment analysis, PCA, and drug sensitivity analysis for different subtypes. Results: We developed a prognostic model using five cuproptosis-associated lncRNAs, which was found to be highly accurate in predicting ccRCC patients’ prognosis. Immunotherapy may be more beneficial to the hyper-risk category and the C2 subtype. Conclusion: The results of this study confirm that five cuproptosis-associated lncRNAs can be used as potential prognostic markers for ccRCC.
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spelling pubmed-94417672022-09-06 Cuproptosis-related lncRNA: Prediction of prognosis and subtype determination in clear cell renal cell carcinoma Huili, Youlong Nie, Shiwen Zhang, Liguo Yao, Anliang Liu, Jian Wang, Yong Wang, Lei Cao, Fenghong Front Genet Genetics Background: Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cell carcinoma, accounting for approximately 70% of all RCC cases. Cuproptosis, a novel mechanism of cell death, may be a potential target for intervention in tumor development. Methods: Cuproptosis-related prognostic lncRNAs were identified by co-expression analysis and univariable Cox regression. Five lncRNA profiles were obtained by LASSO regression analysis, and a model with high accuracy was constructed to assess the prognosis of ccRCC patients based on these cuproptosis-related lncRNAs. Survival analysis and time-dependent ROC curves were performed for the α and β groups, and the results confirmed the high accuracy of the model in predicting the prognosis of ccRCC patients. Immunoassay, principal component analysis (PCA), and drug sensitivity analysis were also performed for different risk categories. Finally, we classified ccRCC patients into two different subtypes by consistent class clustering, and performed immune checkpoint activation, tumor microenvironment analysis, PCA, and drug sensitivity analysis for different subtypes. Results: We developed a prognostic model using five cuproptosis-associated lncRNAs, which was found to be highly accurate in predicting ccRCC patients’ prognosis. Immunotherapy may be more beneficial to the hyper-risk category and the C2 subtype. Conclusion: The results of this study confirm that five cuproptosis-associated lncRNAs can be used as potential prognostic markers for ccRCC. Frontiers Media S.A. 2022-08-22 /pmc/articles/PMC9441767/ /pubmed/36072656 http://dx.doi.org/10.3389/fgene.2022.958547 Text en Copyright © 2022 Huili, Nie, Zhang, Yao, Liu, Wang, Wang and Cao. 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 Genetics
Huili, Youlong
Nie, Shiwen
Zhang, Liguo
Yao, Anliang
Liu, Jian
Wang, Yong
Wang, Lei
Cao, Fenghong
Cuproptosis-related lncRNA: Prediction of prognosis and subtype determination in clear cell renal cell carcinoma
title Cuproptosis-related lncRNA: Prediction of prognosis and subtype determination in clear cell renal cell carcinoma
title_full Cuproptosis-related lncRNA: Prediction of prognosis and subtype determination in clear cell renal cell carcinoma
title_fullStr Cuproptosis-related lncRNA: Prediction of prognosis and subtype determination in clear cell renal cell carcinoma
title_full_unstemmed Cuproptosis-related lncRNA: Prediction of prognosis and subtype determination in clear cell renal cell carcinoma
title_short Cuproptosis-related lncRNA: Prediction of prognosis and subtype determination in clear cell renal cell carcinoma
title_sort cuproptosis-related lncrna: prediction of prognosis and subtype determination in clear cell renal cell carcinoma
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441767/
https://www.ncbi.nlm.nih.gov/pubmed/36072656
http://dx.doi.org/10.3389/fgene.2022.958547
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