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Cuproptosis-Related Ferroptosis genes for Predicting Prognosis in kidney renal clear cell carcinoma

Kidney renal clear cell carcinoma (KIRC) is a main subtype of kidney cancers. Cuproptosis and ferroptosis are correlated with immune infiltration and prognosis in tumors. However, the role of Cuproptosis-related Ferroptosis genes (CRFGs) in KIRC has rarely been fully understood. Therefore, we constr...

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Autores principales: Luo, Gang, Wang, Lini, Zheng, Ziyu, Gao, Baobao, Lei, Chong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184413/
https://www.ncbi.nlm.nih.gov/pubmed/37189176
http://dx.doi.org/10.1186/s40001-023-01137-z
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author Luo, Gang
Wang, Lini
Zheng, Ziyu
Gao, Baobao
Lei, Chong
author_facet Luo, Gang
Wang, Lini
Zheng, Ziyu
Gao, Baobao
Lei, Chong
author_sort Luo, Gang
collection PubMed
description Kidney renal clear cell carcinoma (KIRC) is a main subtype of kidney cancers. Cuproptosis and ferroptosis are correlated with immune infiltration and prognosis in tumors. However, the role of Cuproptosis-related Ferroptosis genes (CRFGs) in KIRC has rarely been fully understood. Therefore, we constructed a prognostic signature based on different expression of CRFGs in KIRC. All raw data of this study were extracted from public TCGA datasets. Cuproptosis and Ferroptosis genes were collected from the previous research. Finally, a total of 36 significantly different CRFGs were identified from TCGA–KIRC cohort. Six-gene signature (TRIB3, SLC2A3, PML, CD44, CDKN2A and MIOX) was identified by LASSO Cox regression based on the significantly different CRFGs. The CRFGs signature was correlated with worse overall survival and the AUC was 0.750. Functional enrichment indicated that CRFGs were mainly enriched in metabolism, drug resistance, tumor immunity pathways. Besides, the IC50 and immune checkpoint differentially expressed between different groups. The proposed 6-CRFGs signature is a promising biomarker to predict clinical outcomes and therapeutic responses for KIRC patient. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01137-z.
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spelling pubmed-101844132023-05-16 Cuproptosis-Related Ferroptosis genes for Predicting Prognosis in kidney renal clear cell carcinoma Luo, Gang Wang, Lini Zheng, Ziyu Gao, Baobao Lei, Chong Eur J Med Res Research Kidney renal clear cell carcinoma (KIRC) is a main subtype of kidney cancers. Cuproptosis and ferroptosis are correlated with immune infiltration and prognosis in tumors. However, the role of Cuproptosis-related Ferroptosis genes (CRFGs) in KIRC has rarely been fully understood. Therefore, we constructed a prognostic signature based on different expression of CRFGs in KIRC. All raw data of this study were extracted from public TCGA datasets. Cuproptosis and Ferroptosis genes were collected from the previous research. Finally, a total of 36 significantly different CRFGs were identified from TCGA–KIRC cohort. Six-gene signature (TRIB3, SLC2A3, PML, CD44, CDKN2A and MIOX) was identified by LASSO Cox regression based on the significantly different CRFGs. The CRFGs signature was correlated with worse overall survival and the AUC was 0.750. Functional enrichment indicated that CRFGs were mainly enriched in metabolism, drug resistance, tumor immunity pathways. Besides, the IC50 and immune checkpoint differentially expressed between different groups. The proposed 6-CRFGs signature is a promising biomarker to predict clinical outcomes and therapeutic responses for KIRC patient. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01137-z. BioMed Central 2023-05-15 /pmc/articles/PMC10184413/ /pubmed/37189176 http://dx.doi.org/10.1186/s40001-023-01137-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Luo, Gang
Wang, Lini
Zheng, Ziyu
Gao, Baobao
Lei, Chong
Cuproptosis-Related Ferroptosis genes for Predicting Prognosis in kidney renal clear cell carcinoma
title Cuproptosis-Related Ferroptosis genes for Predicting Prognosis in kidney renal clear cell carcinoma
title_full Cuproptosis-Related Ferroptosis genes for Predicting Prognosis in kidney renal clear cell carcinoma
title_fullStr Cuproptosis-Related Ferroptosis genes for Predicting Prognosis in kidney renal clear cell carcinoma
title_full_unstemmed Cuproptosis-Related Ferroptosis genes for Predicting Prognosis in kidney renal clear cell carcinoma
title_short Cuproptosis-Related Ferroptosis genes for Predicting Prognosis in kidney renal clear cell carcinoma
title_sort cuproptosis-related ferroptosis genes for predicting prognosis in kidney renal clear cell carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184413/
https://www.ncbi.nlm.nih.gov/pubmed/37189176
http://dx.doi.org/10.1186/s40001-023-01137-z
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