Comprehensive Analysis of the Tumor Microenvironment and Ferroptosis-Related Genes Predict Prognosis with Ovarian Cancer

The early diagnosis of ovarian cancer (OC) is critical to improve the prognosis and prevent recurrence of patients. Nevertheless, there is still a lack of factors which can accurately predict it. In this study, we focused on the interaction of immune infiltration and ferroptosis and selected the EST...

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Autores principales:	Xiao-xue Li, Li Xiong, Yu Wen, Zi-jian Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	ovarian cancer tumor infiltrating immune cells ferroptosis prognostic the cancer genome atlas Genetics QH426-470
Acceso en línea:	https://doaj.org/article/8242e0a59217496f9563a35a6c36798b
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spelling	oai:doaj.org-article:8242e0a59217496f9563a35a6c36798b2021-11-15T06:46:14ZComprehensive Analysis of the Tumor Microenvironment and Ferroptosis-Related Genes Predict Prognosis with Ovarian Cancer1664-802110.3389/fgene.2021.774400https://doaj.org/article/8242e0a59217496f9563a35a6c36798b2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.774400/fullhttps://doaj.org/toc/1664-8021The early diagnosis of ovarian cancer (OC) is critical to improve the prognosis and prevent recurrence of patients. Nevertheless, there is still a lack of factors which can accurately predict it. In this study, we focused on the interaction of immune infiltration and ferroptosis and selected the ESTIMATE algorithm and 15 ferroptosis-related genes (FRGs) to construct a novel E-FRG scoring model for predicting overall survival of OC patients. The gene expression and corresponding clinical characteristics were obtained from the TCGA dataset (n = 375), GSE18520 (n = 53), and GSE32062 (n = 260). A total of 15 FRGs derived from FerrDb with the immune score and stromal score were identified in the prognostic model by using least absolute shrinkage and selection operator (LASSO)–penalized COX regression analysis. The Kaplan–Meier survival analysis and time-dependent ROC curves performed a powerful prognostic ability of the E-FRG model via multi-validation. Gene Set Enrichment Analysis and Gene Set Variation Analysis elucidate multiple potential pathways between the high and low E-FRG score group. Finally, the proteins of different genes in the model were verified in drug-resistant and non–drug-resistant tumor tissues. The results of this research provide new prospects in the role of immune infiltration and ferroptosis as a helpful tool to predict the outcome of OC patients.Xiao-xue LiLi XiongYu WenZi-jian ZhangFrontiers Media S.A.articleovarian cancertumor infiltrating immune cellsferroptosisprognosticthe cancer genome atlasGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ovarian cancer tumor infiltrating immune cells ferroptosis prognostic the cancer genome atlas Genetics QH426-470
spellingShingle	ovarian cancer tumor infiltrating immune cells ferroptosis prognostic the cancer genome atlas Genetics QH426-470 Xiao-xue Li Li Xiong Yu Wen Zi-jian Zhang Comprehensive Analysis of the Tumor Microenvironment and Ferroptosis-Related Genes Predict Prognosis with Ovarian Cancer
description	The early diagnosis of ovarian cancer (OC) is critical to improve the prognosis and prevent recurrence of patients. Nevertheless, there is still a lack of factors which can accurately predict it. In this study, we focused on the interaction of immune infiltration and ferroptosis and selected the ESTIMATE algorithm and 15 ferroptosis-related genes (FRGs) to construct a novel E-FRG scoring model for predicting overall survival of OC patients. The gene expression and corresponding clinical characteristics were obtained from the TCGA dataset (n = 375), GSE18520 (n = 53), and GSE32062 (n = 260). A total of 15 FRGs derived from FerrDb with the immune score and stromal score were identified in the prognostic model by using least absolute shrinkage and selection operator (LASSO)–penalized COX regression analysis. The Kaplan–Meier survival analysis and time-dependent ROC curves performed a powerful prognostic ability of the E-FRG model via multi-validation. Gene Set Enrichment Analysis and Gene Set Variation Analysis elucidate multiple potential pathways between the high and low E-FRG score group. Finally, the proteins of different genes in the model were verified in drug-resistant and non–drug-resistant tumor tissues. The results of this research provide new prospects in the role of immune infiltration and ferroptosis as a helpful tool to predict the outcome of OC patients.
format	article
author	Xiao-xue Li Li Xiong Yu Wen Zi-jian Zhang
author_facet	Xiao-xue Li Li Xiong Yu Wen Zi-jian Zhang
author_sort	Xiao-xue Li
title	Comprehensive Analysis of the Tumor Microenvironment and Ferroptosis-Related Genes Predict Prognosis with Ovarian Cancer
title_short	Comprehensive Analysis of the Tumor Microenvironment and Ferroptosis-Related Genes Predict Prognosis with Ovarian Cancer
title_full	Comprehensive Analysis of the Tumor Microenvironment and Ferroptosis-Related Genes Predict Prognosis with Ovarian Cancer
title_fullStr	Comprehensive Analysis of the Tumor Microenvironment and Ferroptosis-Related Genes Predict Prognosis with Ovarian Cancer
title_full_unstemmed	Comprehensive Analysis of the Tumor Microenvironment and Ferroptosis-Related Genes Predict Prognosis with Ovarian Cancer
title_sort	comprehensive analysis of the tumor microenvironment and ferroptosis-related genes predict prognosis with ovarian cancer
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/8242e0a59217496f9563a35a6c36798b
work_keys_str_mv	AT xiaoxueli comprehensiveanalysisofthetumormicroenvironmentandferroptosisrelatedgenespredictprognosiswithovariancancer AT lixiong comprehensiveanalysisofthetumormicroenvironmentandferroptosisrelatedgenespredictprognosiswithovariancancer AT yuwen comprehensiveanalysisofthetumormicroenvironmentandferroptosisrelatedgenespredictprognosiswithovariancancer AT zijianzhang comprehensiveanalysisofthetumormicroenvironmentandferroptosisrelatedgenespredictprognosiswithovariancancer
_version_	1718428562304794624

Comprehensive Analysis of the Tumor Microenvironment and Ferroptosis-Related Genes Predict Prognosis with Ovarian Cancer

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