{"title":"Identification of immune subtypes of uterine corpus endometrial adenocarcinoma based on tumour microenvironment","authors":"","doi":"10.22514/ejgo.2023.065","DOIUrl":null,"url":null,"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.","PeriodicalId":11903,"journal":{"name":"European journal of gynaecological oncology","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European journal of gynaecological oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22514/ejgo.2023.065","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
EJGO is dedicated to publishing editorial articles in the Distinguished Expert Series and original research papers, case reports, letters to the Editor, book reviews, and newsletters. The Journal was founded in 1980 the second gynaecologic oncology hyperspecialization Journal in the world. Its aim is the diffusion of scientific, clinical and practical progress, and knowledge in female neoplastic diseases in an interdisciplinary approach among gynaecologists, oncologists, radiotherapists, surgeons, chemotherapists, pathologists, epidemiologists, and so on.