Identification of immune subtypes of uterine corpus endometrial adenocarcinoma based on tumour microenvironment
1Department of Gynecology and Obstetrics, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, 210023 Nanjing, Jiangsu, China
2Department of Bioinformatics, Nanjing Medical University, 211166 Nanjing, Jiangsu, China
DOI: 10.22514/ejgo.2023.065 Vol.44,Issue 4,August 2023 pp.124-135
Submitted: 03 April 2023 Accepted: 06 July 2023
Published: 15 August 2023
† These authors contributed equally.
Uterine corpus endometrial adenocarcinoma is the prevalent gynaecological malig-nancy. The related morbidity and mortality are high despite the progress made in treatments. Therefore, efficient prognostic indicators and reliable predictive factors for the treatments are vital. In this study, the transcriptome and clinical data of endometrial adenocarcinoma samples were screened and downloaded from The Cancer Genome Atlas Program (TCGA) database. The relation between immune cell types and clinicopathological grade of endometrial adenocarcinoma was explored. The endometrial adenocarcinoma samples were divided into six immune subtypes based on immune microenvironment scores. The differential genes in immune subtypes were classified according to the score, and correlation enrichment analysis was made to explore the immune pathways related to prognosis and survival. They were divided into high and low risk groups according to the median risk score in order to explore the survival outcomes of the various immune scores. Finally, the relationship between tumour mutation burden, immune subtypes, and prognosis was discussed. Herein, the endometrial adenocarcinoma is classified based on immune microenvironment which demonstrates good predictive potential of immune-based classification strategy. The predicted outcomes are described for the patients at high risk of endometrial adenocarcinoma to improve the treatment strategies. Immune risk score can be used as an independent risk factor for overall survival of endometrial adenocarcinoma patients. This immune-based classification system can prognose endometrial adenocarcinoma patients at high risk.
Uterine corpus endometrial adenocarcinoma; Tumour microenvironment; Immune cell infiltration
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