Dysregulation of MAD2L1/CAMK2A/PTTG1 Gene Cluster Maintains the Stemness Characteristics of Uterine Corpus Endometrial Carcinoma.
10.3881/j.issn.1000-503X.13271
- Author:
Jing ZHENG
1
;
Yi-Wen ZHANG
2
;
Zong-Fu PAN
2
Author Information
1. Department of Pharmacy,Zhejiang Medical & Health Group Hangzhou Hospital,Hangzhou 310022,China.
2. Department of Pharmacy,Zhejiang Provincial People's Hospital,People's Hospital of Hangzhou Medical College,Hangzhou 310014,China.
- Publication Type:Journal Article
- Keywords:
biomarker;
cancer stem cell;
co-expression network;
stemness index;
uterine corpus endometrial carcinoma
- MeSH:
Calcium-Calmodulin-Dependent Protein Kinase Type 2;
Endometrial Neoplasms/genetics*;
Female;
Gene Expression Regulation, Neoplastic;
Humans;
Mad2 Proteins;
Multigene Family;
Neoplastic Stem Cells;
Prognosis;
Securin
- From:
Acta Academiae Medicinae Sinicae
2021;43(5):685-695
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the stemness characteristics of uterine corpus endometrial carcinoma(UCEC)and its potential regulatory mechanism.Methods Transcriptome sequencing data of UCEC was obtained from The Cancer Genome Atlas.Gene expression profile was normalized by edgeR package in R3.5.1.A one-class logistic regression machine learning algorithm was employed to calculated the mRNA stemness index(mRNAsi)of each UCEC sample.Then,the prognostic significance of mRNAsi and candidate genes was evaluated by survminer and survival packages.The high-frequency sub-pathways mining approach(HiFreSP)was used to identify the prognosis-related sub-pathways enriched with differentially expressed genes(DEGs).Subsequently,a gene co-expression network was constructed using WGCNA package,and the key gene modules were analyzed.The clusterProfiler package was adopted to the function annotation of the modules highly correlated with mRNAsi.Finally,the Human Protein Atlas(HPA)was retrieved for immunohistochemical validation.Results The mRNAsi of UCEC samples was significantly higher than that of normal tissues(
