Construction of novel hypoxia-related gene model for prognosis and tumor microenvironment in endometrial carcinoma

Junfeng Chen; Guocheng Wang; Donghai Zhang; Xiaomei Luo; Da Zhang; Yongli Zhang

doi:10.3389/fendo.2022.1075431

Frontiers in Endocrinology (Dec 2022)

Construction of novel hypoxia-related gene model for prognosis and tumor microenvironment in endometrial carcinoma

Junfeng Chen,
Guocheng Wang,
Donghai Zhang,
Xiaomei Luo,
Da Zhang,
Yongli Zhang

Affiliations

Junfeng Chen: Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
Guocheng Wang: Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
Donghai Zhang: Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
Xiaomei Luo: Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
Da Zhang: Department of Gynecological Oncology, Changchun Center Hospital, Changchun, Jilin, China
Yongli Zhang: Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China

DOI: https://doi.org/10.3389/fendo.2022.1075431
Journal volume & issue: Vol. 13

Abstract

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IntroductionEndometrial cancer is currently one of the three most common female reproductive cancers, which seriously threatens women’s lives and health. Hypoxia disrupts the tumor microenvironment, thereby affecting tumor progression and drug resistance.MethodsWe established hypoxia-related gene model to predict patient prognosis and 1-, 3-, and 5-year overall survival rates. Then, the expression level of hypoxia-related genes and survival data were extracted for comprehensive analysis by Cox regression analysis, and the model was established.ResultsWe analyzed the survival and prognosis of patients in the high and low-risk groups. The Kaplan-Meier curve showed that the low-risk group is associated with a better survival rate. The 1-, 3-, and 5-year AUC values of the model were 0.680, 0.698, and 0.687, respectively. Finally, we found that LAG3 may be a potential immune checkpoint for endometrial cancer.ConclusionWe found four hypoxia-related genes (ANXA2, AKAP12, NR3C1, and GPI) associated with prognosis. The hypoxia-related gene model can also predict prognosis and tumor microenvironment in endometrial cancer.

Published in Frontiers in Endocrinology

ISSN: 1664-2392 (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Specialties of internal medicine: Diseases of the endocrine glands. Clinical endocrinology
Website: https://www.frontiersin.org/journals/endocrinology

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