Literature DB >> 33495413

Overexpression of TICRR and PPIF confer poor prognosis in endometrial cancer identified by gene co-expression network analysis.

Linlin Yang1,2,3, Yunxia Cui1,2,3, Xiao Sun1,2,3, Yudong Wang1,2,3.   

Abstract

The incidence of endometrial cancer (EC) is intensively increasing. However, due to the complexity and heterogeneity of EC, the molecular targeted therapy is still limited. The reliable and accurate biomarkers for tumor progression are urgently demanded. After normalizing the data from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA), we utilized limma and WGCNA packages to identify differentially expressed genes (DEGs). The copy number variations of candidate genes were investigated by cBioPortal. Enrichment pathways analysis was performed by ClueGO and CluePedia. The methylation status was explored by UALCAN. ROC curve and survival analysis were conducted by SPSS and Kaplan-Meier. Infiltration immune cells in microenvironment were analyzed by TISIDB. Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) were applied to explore potential biological pathways. Immunohistochemistry staining (IHC), cell proliferation, cell apoptosis, colony formation, migration, invasion and scratch-wound assays were performed to investigate the function of key genes in vitro. In this study, four expression profile datasets were integrated to identify candidate genes. Combined with WGCNA analysis, the top ten candidates were screened out, whose abnormal methylation patterns were extremely correlated with their expression level and they were associated with tumor grades and predicted poor survival. GSEA and GSVA demonstrated they were involved in DNA replication and cell cycle transition in EC. Gene silencing of TICRR and PPIF dramatically inhibited cell growth, migration and epithelial-mesenchymal transition (EMT) and enhanced progesterone sensitivity. Additionally, from DrugBank database, cyclosporine may be effective for PPIF targeted therapy. By integrative bioinformatics analysis and in vitro experiments, our study shed novel light on the molecular mechanisms of EC. TICRR and PPIF may promise to be potential therapeutic targets for endometrial cancer.

Entities:  

Keywords:  WGCNA; bioinformatics analysis; endometrial carcinoma; in vitro experiment; prognosis

Year:  2021        PMID: 33495413     DOI: 10.18632/aging.202417

Source DB:  PubMed          Journal:  Aging (Albany NY)        ISSN: 1945-4589            Impact factor:   5.682


  6 in total

1.  Human exposure to low dose ionizing radiation affects miR-21 and miR-625 expression levels.

Authors:  Roghayeh Mahmoudi; Massoud Saidijam; Safoora Nikzad; Leili Tapak; Maryam Alvandi; Saeid Afshar
Journal:  Mol Biol Rep       Date:  2021-11-19       Impact factor: 2.316

2.  The CRL4DTL E3 ligase induces degradation of the DNA replication initiation factor TICRR/TRESLIN specifically during S phase.

Authors:  Kimberlie A Wittig; Courtney G Sansam; Tyler D Noble; Duane Goins; Christopher L Sansam
Journal:  Nucleic Acids Res       Date:  2021-10-11       Impact factor: 16.971

3.  Down-regulated C4orf19 confers poor prognosis in colon adenocarcinoma identified by gene co-expression network.

Authors:  Wanpeng Wang; Xiaolu Lin; Ran Yu; Suqin Zhou; Yanyan Liu; Haifeng Jia; Feng Han; Yanzhi Bu; Juan Pu
Journal:  J Cancer       Date:  2022-01-09       Impact factor: 4.207

4.  Characterization of DNA methylation as well as mico-RNA expression and screening of epigenetic markers in adipogenesis.

Authors:  Yong Zhang; Fancheng Chen; Fangxue Zhang; Xiaowei Huang
Journal:  J Transl Med       Date:  2022-02-15       Impact factor: 5.531

5.  A risk signature based on necroptotic-process-related genes predicts prognosis and immune therapy response in kidney cell carcinoma.

Authors:  Jingxian Li; Xun Liu; Yuanjiong Qi; Yang Liu; E Du; Zhihong Zhang
Journal:  Front Immunol       Date:  2022-09-16       Impact factor: 8.786

6.  ncRNAs-mediated high expression of TICRR promotes tumor cell proliferation and migration and is correlated with poor prognosis and tumor immune infiltration of hepatocellular carcinoma.

Authors:  Ke-Jie He; Yang-Fan Zhang; Lai-Ying Liang; Xiao-Shen Cheng; Guoyu Gong; Xiao-Mei Ouyang; Ying Lin; Bayasi Guleng
Journal:  Mol Ther Nucleic Acids       Date:  2022-09-19       Impact factor: 10.183

  6 in total

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