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Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma

BACKGROUND: Almost 40% of patients with kidney renal clear cell carcinoma (KIRC) with advanced cancers eventually develop to metastases, and their 5-year survival rates are approximately 10%. Aberrant DNA methylations are significantly associated with the development of KIRC. The aim of our present...

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Autores principales: Xing, Xiao-Liang, Liu, Yan, Liu, Jiheng, Zhou, Huanfa, Zhang, Huirong, Zuo, Qi, Bu, Ping, Duan, Tong, Zhou, Yan, Xiao, Zhiquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128788/
https://www.ncbi.nlm.nih.gov/pubmed/35619698
http://dx.doi.org/10.3389/fimmu.2022.851312
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author Xing, Xiao-Liang
Liu, Yan
Liu, Jiheng
Zhou, Huanfa
Zhang, Huirong
Zuo, Qi
Bu, Ping
Duan, Tong
Zhou, Yan
Xiao, Zhiquan
author_facet Xing, Xiao-Liang
Liu, Yan
Liu, Jiheng
Zhou, Huanfa
Zhang, Huirong
Zuo, Qi
Bu, Ping
Duan, Tong
Zhou, Yan
Xiao, Zhiquan
author_sort Xing, Xiao-Liang
collection PubMed
description BACKGROUND: Almost 40% of patients with kidney renal clear cell carcinoma (KIRC) with advanced cancers eventually develop to metastases, and their 5-year survival rates are approximately 10%. Aberrant DNA methylations are significantly associated with the development of KIRC. The aim of our present study was to identify suitable ferroptosis- and immune-related (FI) biomarkers correlated with aberrant methylations to improve the prognosis and diagnosis of KIRC. METHODS: ChAMP and DESeq2 in R (3.6.2) were used to screen the differentially expressed methylation probes and differentially expressed genes, respectively. Univariate and multivariate Cox regression were used to identify the overall survival (OS)–related biomarkers. RESULTS: We finally identified five FI biomarkers (CCR4, CMTM3, IFITM1, MX2, and NR3C2) that were independently correlated with the OS of KIRC. The area under the curve value of the receiver operating characteristic value of prognosis model was 0.74, 0.68, and 0.72 in the training, validation, and entire cohorts, respectively. The sensitivity and specificity of the diagnosis model were 0.8698 and 0.9722, respectively. In addition, the prognosis model was also significantly correlated with several immune cells and factors. CONCLUSION: Our present study suggested that these five FI-DEGs (CCR4, CMTM3, IFITM1, MX2, and NR3C2) could be used as prognosis and diagnosis biomarkers for patients with KIRC, but further cross-validation clinical studies are still needed to confirm them.
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spelling pubmed-91287882022-05-25 Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma Xing, Xiao-Liang Liu, Yan Liu, Jiheng Zhou, Huanfa Zhang, Huirong Zuo, Qi Bu, Ping Duan, Tong Zhou, Yan Xiao, Zhiquan Front Immunol Immunology BACKGROUND: Almost 40% of patients with kidney renal clear cell carcinoma (KIRC) with advanced cancers eventually develop to metastases, and their 5-year survival rates are approximately 10%. Aberrant DNA methylations are significantly associated with the development of KIRC. The aim of our present study was to identify suitable ferroptosis- and immune-related (FI) biomarkers correlated with aberrant methylations to improve the prognosis and diagnosis of KIRC. METHODS: ChAMP and DESeq2 in R (3.6.2) were used to screen the differentially expressed methylation probes and differentially expressed genes, respectively. Univariate and multivariate Cox regression were used to identify the overall survival (OS)–related biomarkers. RESULTS: We finally identified five FI biomarkers (CCR4, CMTM3, IFITM1, MX2, and NR3C2) that were independently correlated with the OS of KIRC. The area under the curve value of the receiver operating characteristic value of prognosis model was 0.74, 0.68, and 0.72 in the training, validation, and entire cohorts, respectively. The sensitivity and specificity of the diagnosis model were 0.8698 and 0.9722, respectively. In addition, the prognosis model was also significantly correlated with several immune cells and factors. CONCLUSION: Our present study suggested that these five FI-DEGs (CCR4, CMTM3, IFITM1, MX2, and NR3C2) could be used as prognosis and diagnosis biomarkers for patients with KIRC, but further cross-validation clinical studies are still needed to confirm them. Frontiers Media S.A. 2022-05-10 /pmc/articles/PMC9128788/ /pubmed/35619698 http://dx.doi.org/10.3389/fimmu.2022.851312 Text en Copyright © 2022 Xing, Liu, Liu, Zhou, Zhang, Zuo, Bu, Duan, Zhou and Xiao 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 Immunology
Xing, Xiao-Liang
Liu, Yan
Liu, Jiheng
Zhou, Huanfa
Zhang, Huirong
Zuo, Qi
Bu, Ping
Duan, Tong
Zhou, Yan
Xiao, Zhiquan
Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma
title Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma
title_full Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma
title_fullStr Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma
title_full_unstemmed Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma
title_short Comprehensive Analysis of Ferroptosis- and Immune-Related Signatures to Improve the Prognosis and Diagnosis of Kidney Renal Clear Cell Carcinoma
title_sort comprehensive analysis of ferroptosis- and immune-related signatures to improve the prognosis and diagnosis of kidney renal clear cell carcinoma
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128788/
https://www.ncbi.nlm.nih.gov/pubmed/35619698
http://dx.doi.org/10.3389/fimmu.2022.851312
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