Affiliation:
1. Reproductive Medicine Center, Liuzhou Maternity and Child Health Care Hospital, Liuzhou, Guangxi Autonomous Region, 545001, China
2. College of Life Science and Technology, Guangxi University, Nanning, 530004, China
3. Department of Obstetrics and Gynecology, China
Abstract
Background:
Endometrial cancer (EC) is a common gynecological malignancy
worldwide. Immunity is closely related to the occurrence and prognosis of EC. At the same time,
immune-related genes have great potential as prognostic markers in many types of cancer.
Objective:
Therefore, we attempt to develop immune-related gene markers to enhance prognosis
prediction of EC.
Methods:
542 samples of EC gene expression data and clinical follow-up information were
downloaded from The Cancer Genome Atlas (TCGA). The samples were randomly divided into
two groups, one group as a training set (N=271), and one set as a validation set. (N=271). In the
training set, the gene pairs were established based on the relative expression levels of 271 immune
genes, and the prognosis-related gene pairs were screened. The lasso was used to select the
features, and finally, the robust biomarkers were screened. Finally, the prognostic model of the
immune gene pair was established and verified by the validation data set.
Results:
10030 immune gene pair (IRGPs) were obtained, and univariate survival analysis was
used to identify 1809 prognostic-related IRGPs (p<0.05). 5-IRGPs were obtained by lasso
regression feature selection, and multivariate regression was used to establish 5-IRGPs signature,
5-IRGPs signature is an independent prognostic factor for EC patients, and could be risk stratified
in patients with TCGA datasets, age, ethnicity, stage, and histological classification (p#60;0.05). The
mean AUC of survival in both the training set and the validation set was greater than 0.7,
indicating that 5-IRGPs signature has superior classification performance in patients with EC. In
addition, 5-IRGPs have the highest average C index (0.795) compared to the prognostic
characteristics of the three endometrial cancers reported in the past and Stage and Age.
Conclusion:
This study constructed a 5-IRGPs signature as a novel prognostic marker for
predicting survival in patients with EC.
Funder
Guangxi Self Financing Research Program of Guangxi Region Health and Family Planning Commission
Liuzhou Science and Technology Bureau
Key Research and Development Program of Guangxi
Guangxi Natural Science Foundation
Publisher
Bentham Science Publishers Ltd.
Subject
Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献