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Exploration of the role of Cuproptosis genes and their related long non-coding RNA in clear cell renal cell carcinoma: a comprehensive bioinformatics study

Clear cell renal cell carcinoma is a common malignant tumor of the urinary system. The mechanism of its occurrence and development is unknown, and there is currently few effective comprehensive predictive markers for prognosis and treatment response. With the discovery of a new cell death process –...

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Autores principales: Xia, Dian, Liu, Qi, Jiao, Wen, Peng, Longfei, Wang, Qi, Tuo, ZhouTing, Bi, Liangkuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637316/
https://www.ncbi.nlm.nih.gov/pubmed/36335291
http://dx.doi.org/10.1186/s12885-022-10278-z
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author Xia, Dian
Liu, Qi
Jiao, Wen
Peng, Longfei
Wang, Qi
Tuo, ZhouTing
Bi, Liangkuan
author_facet Xia, Dian
Liu, Qi
Jiao, Wen
Peng, Longfei
Wang, Qi
Tuo, ZhouTing
Bi, Liangkuan
author_sort Xia, Dian
collection PubMed
description Clear cell renal cell carcinoma is a common malignant tumor of the urinary system. The mechanism of its occurrence and development is unknown, and there is currently few effective comprehensive predictive markers for prognosis and treatment response. With the discovery of a new cell death process – cuproptosis drew the attention of researchers. We constructed a model for the prediction of clinical prognosis and immunotherapy response through integrative analysis of gene expression datasets from KIRC samples in The Cancer Genome Atlas (TCGA) database. During the course of the study, we found that cuproptosis genes are significantly differentially expressed between clear cell renal cell carcinoma samples and normal samples. Based on this, we put forward the prognostic model for cuproptosis gene related-long non-coding RNA. And through various statistic and external independent cohorts, we proved that the model is accurate and stable, worthy of clinical application and further exploration and validation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10278-z.
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spelling pubmed-96373162022-11-07 Exploration of the role of Cuproptosis genes and their related long non-coding RNA in clear cell renal cell carcinoma: a comprehensive bioinformatics study Xia, Dian Liu, Qi Jiao, Wen Peng, Longfei Wang, Qi Tuo, ZhouTing Bi, Liangkuan BMC Cancer Research Clear cell renal cell carcinoma is a common malignant tumor of the urinary system. The mechanism of its occurrence and development is unknown, and there is currently few effective comprehensive predictive markers for prognosis and treatment response. With the discovery of a new cell death process – cuproptosis drew the attention of researchers. We constructed a model for the prediction of clinical prognosis and immunotherapy response through integrative analysis of gene expression datasets from KIRC samples in The Cancer Genome Atlas (TCGA) database. During the course of the study, we found that cuproptosis genes are significantly differentially expressed between clear cell renal cell carcinoma samples and normal samples. Based on this, we put forward the prognostic model for cuproptosis gene related-long non-coding RNA. And through various statistic and external independent cohorts, we proved that the model is accurate and stable, worthy of clinical application and further exploration and validation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10278-z. BioMed Central 2022-11-06 /pmc/articles/PMC9637316/ /pubmed/36335291 http://dx.doi.org/10.1186/s12885-022-10278-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Xia, Dian
Liu, Qi
Jiao, Wen
Peng, Longfei
Wang, Qi
Tuo, ZhouTing
Bi, Liangkuan
Exploration of the role of Cuproptosis genes and their related long non-coding RNA in clear cell renal cell carcinoma: a comprehensive bioinformatics study
title Exploration of the role of Cuproptosis genes and their related long non-coding RNA in clear cell renal cell carcinoma: a comprehensive bioinformatics study
title_full Exploration of the role of Cuproptosis genes and their related long non-coding RNA in clear cell renal cell carcinoma: a comprehensive bioinformatics study
title_fullStr Exploration of the role of Cuproptosis genes and their related long non-coding RNA in clear cell renal cell carcinoma: a comprehensive bioinformatics study
title_full_unstemmed Exploration of the role of Cuproptosis genes and their related long non-coding RNA in clear cell renal cell carcinoma: a comprehensive bioinformatics study
title_short Exploration of the role of Cuproptosis genes and their related long non-coding RNA in clear cell renal cell carcinoma: a comprehensive bioinformatics study
title_sort exploration of the role of cuproptosis genes and their related long non-coding rna in clear cell renal cell carcinoma: a comprehensive bioinformatics study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637316/
https://www.ncbi.nlm.nih.gov/pubmed/36335291
http://dx.doi.org/10.1186/s12885-022-10278-z
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