Identification of the Prognostic Signature Associated With Tumor Immune Microenvironment of Uterine Corpus Endometrial Carcinoma Based on Ferroptosis-Related Genes
Background: Uterine corpus endometrial carcinoma (UCEC) is the sixth most common cancer worldwide. Ferroptosis plays an important role in malignant tumors. However, the study of ferroptosis in the endometrial carcinoma remains blank.Methods: First, we constructed a ferroptosis-related signature base...
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doaj-51c43ed3286943a3b042a1455fffc8ff2021-10-06T05:01:44ZengFrontiers Media S.A.Frontiers in Cell and Developmental Biology2296-634X2021-10-01910.3389/fcell.2021.735013735013Identification of the Prognostic Signature Associated With Tumor Immune Microenvironment of Uterine Corpus Endometrial Carcinoma Based on Ferroptosis-Related GenesJinhui Liu0Yichun Wang1Huangyang Meng2Yin Yin3Hongjun Zhu4Tingting Ni5Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Oncology, Nantong Third People’s Hospital Affiliated to Nantong University, Nantong, ChinaDepartment of Oncology, Affiliated Tumor Hospital to Nantong University, Nantong, ChinaBackground: Uterine corpus endometrial carcinoma (UCEC) is the sixth most common cancer worldwide. Ferroptosis plays an important role in malignant tumors. However, the study of ferroptosis in the endometrial carcinoma remains blank.Methods: First, we constructed a ferroptosis-related signature based on the expression profiles from The Cancer Genome Atlas database. Then, patients were divided into the high-risk and low-risk groups based on this signature. The signature was evaluated by Kaplan–Meier analysis and receiver operating characteristic (ROC) analysis. We further investigated the relationship between this signature and immune microenvironment via CIBERSORT algorithm, ImmuCellAI, MAF, MSI sensor algorithm, GSEA, and GDSC.Results: This signature could be an independent prognostic factor based on multivariate Cox regression analysis. GSEA revealed that this signature was associated with immune-related phenotype. In addition, we indicated the different status of immune infiltration and response to the immune checkpoint between low-risk and high-risk groups. Patients in the low-risk group were more likely to present with a higher expression of immune checkpoint molecules and tumor mutation burden. Meanwhile, the low-risk patients showed sensitive responses to chemotherapy drugs.Conclusion: In summary, the six ferroptosis-related genes signature could be used in molecular subgrouping and accurately predict the prognosis of UCEC.https://www.frontiersin.org/articles/10.3389/fcell.2021.735013/fulluterine corpus endometrial carcinomaferroptosisprognostic signaturemolecular subtypesimmune checkpointdrug sensitivity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jinhui Liu Yichun Wang Huangyang Meng Yin Yin Hongjun Zhu Tingting Ni |
spellingShingle |
Jinhui Liu Yichun Wang Huangyang Meng Yin Yin Hongjun Zhu Tingting Ni Identification of the Prognostic Signature Associated With Tumor Immune Microenvironment of Uterine Corpus Endometrial Carcinoma Based on Ferroptosis-Related Genes Frontiers in Cell and Developmental Biology uterine corpus endometrial carcinoma ferroptosis prognostic signature molecular subtypes immune checkpoint drug sensitivity |
author_facet |
Jinhui Liu Yichun Wang Huangyang Meng Yin Yin Hongjun Zhu Tingting Ni |
author_sort |
Jinhui Liu |
title |
Identification of the Prognostic Signature Associated With Tumor Immune Microenvironment of Uterine Corpus Endometrial Carcinoma Based on Ferroptosis-Related Genes |
title_short |
Identification of the Prognostic Signature Associated With Tumor Immune Microenvironment of Uterine Corpus Endometrial Carcinoma Based on Ferroptosis-Related Genes |
title_full |
Identification of the Prognostic Signature Associated With Tumor Immune Microenvironment of Uterine Corpus Endometrial Carcinoma Based on Ferroptosis-Related Genes |
title_fullStr |
Identification of the Prognostic Signature Associated With Tumor Immune Microenvironment of Uterine Corpus Endometrial Carcinoma Based on Ferroptosis-Related Genes |
title_full_unstemmed |
Identification of the Prognostic Signature Associated With Tumor Immune Microenvironment of Uterine Corpus Endometrial Carcinoma Based on Ferroptosis-Related Genes |
title_sort |
identification of the prognostic signature associated with tumor immune microenvironment of uterine corpus endometrial carcinoma based on ferroptosis-related genes |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Cell and Developmental Biology |
issn |
2296-634X |
publishDate |
2021-10-01 |
description |
Background: Uterine corpus endometrial carcinoma (UCEC) is the sixth most common cancer worldwide. Ferroptosis plays an important role in malignant tumors. However, the study of ferroptosis in the endometrial carcinoma remains blank.Methods: First, we constructed a ferroptosis-related signature based on the expression profiles from The Cancer Genome Atlas database. Then, patients were divided into the high-risk and low-risk groups based on this signature. The signature was evaluated by Kaplan–Meier analysis and receiver operating characteristic (ROC) analysis. We further investigated the relationship between this signature and immune microenvironment via CIBERSORT algorithm, ImmuCellAI, MAF, MSI sensor algorithm, GSEA, and GDSC.Results: This signature could be an independent prognostic factor based on multivariate Cox regression analysis. GSEA revealed that this signature was associated with immune-related phenotype. In addition, we indicated the different status of immune infiltration and response to the immune checkpoint between low-risk and high-risk groups. Patients in the low-risk group were more likely to present with a higher expression of immune checkpoint molecules and tumor mutation burden. Meanwhile, the low-risk patients showed sensitive responses to chemotherapy drugs.Conclusion: In summary, the six ferroptosis-related genes signature could be used in molecular subgrouping and accurately predict the prognosis of UCEC. |
topic |
uterine corpus endometrial carcinoma ferroptosis prognostic signature molecular subtypes immune checkpoint drug sensitivity |
url |
https://www.frontiersin.org/articles/10.3389/fcell.2021.735013/full |
work_keys_str_mv |
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1716841374154752000 |