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Original Research

Open Access

Identification of immune subtypes of uterine corpus endometrial adenocarcinoma based on tumour microenvironment

  • Xin Chen1,†
  • Xuerou Li2,†
  • Aiwei Xiong1
  • Minmin Yu1,*,
  • Changsong Lin2,*,

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

*Corresponding Author(s): Minmin Yu E-mail: njyy022@njucm.edu.cn
*Corresponding Author(s): Changsong Lin E-mail: lcs04bio@njmu.edu.cn

† These authors contributed equally.

Abstract

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.


Keywords

Uterine corpus endometrial adenocarcinoma; Tumour microenvironment; Immune cell infiltration


Cite and Share

Xin Chen,Xuerou Li,Aiwei Xiong,Minmin Yu,Changsong Lin. Identification of immune subtypes of uterine corpus endometrial adenocarcinoma based on tumour microenvironment. European Journal of Gynaecological Oncology. 2023. 44(4);124-135.

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