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Identification and Validation of a Ferroptosis-Related Signature for Predicting Prognosis and Immune Microenvironment in Papillary Renal Cell Carcinoma

OBJECTIVE: We aimed to explore the prognostic patterns of ferroptosis-related genes in papillary renal cell carcinoma (PRCC) and investigate the relationship between ferroptosis-related genes and PRCC tumor immune microenvironment. METHODS: We obtained the mRNA expression and corresponding clinical...

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Autores principales: Da, Qingen, Ren, Mingming, Huang, Lei, Qu, Jianhua, Yang, Qiuhua, Xu, Jiean, Ma, Qian, Mao, Xiaoxiao, Cai, Yongfeng, Zhao, Dingwei, Luo, Junhua, Yan, Zilong, Sun, Lu, Ouyang, Kunfu, Zhang, Xiaowei, Han, Zhen, Liu, Jikui, Wang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934172/
https://www.ncbi.nlm.nih.gov/pubmed/35313551
http://dx.doi.org/10.2147/IJGM.S354882
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author Da, Qingen
Ren, Mingming
Huang, Lei
Qu, Jianhua
Yang, Qiuhua
Xu, Jiean
Ma, Qian
Mao, Xiaoxiao
Cai, Yongfeng
Zhao, Dingwei
Luo, Junhua
Yan, Zilong
Sun, Lu
Ouyang, Kunfu
Zhang, Xiaowei
Han, Zhen
Liu, Jikui
Wang, Tao
author_facet Da, Qingen
Ren, Mingming
Huang, Lei
Qu, Jianhua
Yang, Qiuhua
Xu, Jiean
Ma, Qian
Mao, Xiaoxiao
Cai, Yongfeng
Zhao, Dingwei
Luo, Junhua
Yan, Zilong
Sun, Lu
Ouyang, Kunfu
Zhang, Xiaowei
Han, Zhen
Liu, Jikui
Wang, Tao
author_sort Da, Qingen
collection PubMed
description OBJECTIVE: We aimed to explore the prognostic patterns of ferroptosis-related genes in papillary renal cell carcinoma (PRCC) and investigate the relationship between ferroptosis-related genes and PRCC tumor immune microenvironment. METHODS: We obtained the mRNA expression and corresponding clinical data of PRCC from the public tumor cancer genome atlas database (TCGA). The PRCC patients were randomly divided into two cohort, training cohort and verification cohort, respectively. Univariate Cox regression, LASSO Cox regression, multivariate Cox regression analysis were utilized to construct ferroptosis signature for PRCC patients. And then, risk prognostic model was established and verified. The correlation of ferroptosis-related signature with survival and immune microenvironment was systematically analyzed. RESULTS: A 4-genes ferroptosis signature (CDKN1A, MIOX, PSAT1, and RRM2) was constructed. Multivariate Cox regression assay indicates that the risk score of ferroptosis signature was an independent prognostic indicator (HR=1.391, p<0.001). The survival curve shows that the high-risk group has a poorer prognosis than the low-risk group (p<0.001). The risk prognostic model was established based on prognostic factors of clinical-stage, hemoglobin, and risk score. The time-dependent receiver operating characteristic curve (ROC) analysis proves the predictive capacity of the ferroptosis signature, the 3 years area under the curve (AUC) is 0.890, and the 5 years AUC is 0.733. Further analysis suggested that cell cycle, pentose phosphate pathway, P53 signaling pathway were significantly enriched in the high-risk group. The significantly different fractions of dendritic cells resting, macrophage cells, and T cells follicular helper were observed in risk groups. CONCLUSION: This study implicates a ferroptosis signature which has a good predict capacity of the prognosis in PRCC patients. Ferroptosis-related genes may have a key role in the process of anti-tumor and serve as therapeutic targets for PRCC.
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spelling pubmed-89341722022-03-20 Identification and Validation of a Ferroptosis-Related Signature for Predicting Prognosis and Immune Microenvironment in Papillary Renal Cell Carcinoma Da, Qingen Ren, Mingming Huang, Lei Qu, Jianhua Yang, Qiuhua Xu, Jiean Ma, Qian Mao, Xiaoxiao Cai, Yongfeng Zhao, Dingwei Luo, Junhua Yan, Zilong Sun, Lu Ouyang, Kunfu Zhang, Xiaowei Han, Zhen Liu, Jikui Wang, Tao Int J Gen Med Original Research OBJECTIVE: We aimed to explore the prognostic patterns of ferroptosis-related genes in papillary renal cell carcinoma (PRCC) and investigate the relationship between ferroptosis-related genes and PRCC tumor immune microenvironment. METHODS: We obtained the mRNA expression and corresponding clinical data of PRCC from the public tumor cancer genome atlas database (TCGA). The PRCC patients were randomly divided into two cohort, training cohort and verification cohort, respectively. Univariate Cox regression, LASSO Cox regression, multivariate Cox regression analysis were utilized to construct ferroptosis signature for PRCC patients. And then, risk prognostic model was established and verified. The correlation of ferroptosis-related signature with survival and immune microenvironment was systematically analyzed. RESULTS: A 4-genes ferroptosis signature (CDKN1A, MIOX, PSAT1, and RRM2) was constructed. Multivariate Cox regression assay indicates that the risk score of ferroptosis signature was an independent prognostic indicator (HR=1.391, p<0.001). The survival curve shows that the high-risk group has a poorer prognosis than the low-risk group (p<0.001). The risk prognostic model was established based on prognostic factors of clinical-stage, hemoglobin, and risk score. The time-dependent receiver operating characteristic curve (ROC) analysis proves the predictive capacity of the ferroptosis signature, the 3 years area under the curve (AUC) is 0.890, and the 5 years AUC is 0.733. Further analysis suggested that cell cycle, pentose phosphate pathway, P53 signaling pathway were significantly enriched in the high-risk group. The significantly different fractions of dendritic cells resting, macrophage cells, and T cells follicular helper were observed in risk groups. CONCLUSION: This study implicates a ferroptosis signature which has a good predict capacity of the prognosis in PRCC patients. Ferroptosis-related genes may have a key role in the process of anti-tumor and serve as therapeutic targets for PRCC. Dove 2022-03-15 /pmc/articles/PMC8934172/ /pubmed/35313551 http://dx.doi.org/10.2147/IJGM.S354882 Text en © 2022 Da et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Da, Qingen
Ren, Mingming
Huang, Lei
Qu, Jianhua
Yang, Qiuhua
Xu, Jiean
Ma, Qian
Mao, Xiaoxiao
Cai, Yongfeng
Zhao, Dingwei
Luo, Junhua
Yan, Zilong
Sun, Lu
Ouyang, Kunfu
Zhang, Xiaowei
Han, Zhen
Liu, Jikui
Wang, Tao
Identification and Validation of a Ferroptosis-Related Signature for Predicting Prognosis and Immune Microenvironment in Papillary Renal Cell Carcinoma
title Identification and Validation of a Ferroptosis-Related Signature for Predicting Prognosis and Immune Microenvironment in Papillary Renal Cell Carcinoma
title_full Identification and Validation of a Ferroptosis-Related Signature for Predicting Prognosis and Immune Microenvironment in Papillary Renal Cell Carcinoma
title_fullStr Identification and Validation of a Ferroptosis-Related Signature for Predicting Prognosis and Immune Microenvironment in Papillary Renal Cell Carcinoma
title_full_unstemmed Identification and Validation of a Ferroptosis-Related Signature for Predicting Prognosis and Immune Microenvironment in Papillary Renal Cell Carcinoma
title_short Identification and Validation of a Ferroptosis-Related Signature for Predicting Prognosis and Immune Microenvironment in Papillary Renal Cell Carcinoma
title_sort identification and validation of a ferroptosis-related signature for predicting prognosis and immune microenvironment in papillary renal cell carcinoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934172/
https://www.ncbi.nlm.nih.gov/pubmed/35313551
http://dx.doi.org/10.2147/IJGM.S354882
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