Identification of hub genes and key pathways associated with the progression of gynecological cancer

被引:34
作者
Zhang, Xi [1 ]
Wang, Yudong [2 ]
机构
[1] Changning Matern & Infant Hlth Hosp, Dept Gynecol, Shanghai 200051, Peoples R China
[2] Shanghai Jiao Tong Univ, Int Peace Matern & Child Hlth Hosp, Dept Gynecol, 773 WuYi Rd, Shanghai 200030, Peoples R China
关键词
ovarian serous cystadenocarcinoma; uterine corpus endometrial carcinoma; cervical squamous cell carcinoma and endocervical adenocarcinoma; protein-protein interaction analysis; biomarker; SMYD2; MMP8; EXPRESSION; SURVIVAL;
D O I
10.3892/ol.2019.11004
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Gynecological cancer is the leading cause of cancer mortality in women. However, the mechanisms underlying gynecological cancer progression have remained largely unclear. In the present study, 799 dysregulated genes were identified in ovarian serous cystadenocarcinoma (OV), 488 dysregulated genes in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), and 621 dysregulated genes in uterine corpus endometrial carcinoma (UCEC). Bioinformatics analysis revealed that mRNA splicing and cell proliferation-associated biological processes served important roles in OV progression. Metabolism-associated biological processes played important roles in CESC progression, and protein phosphorylation and small GTPase-mediated signal transduction served important roles in UCEC progression. The present study also constructed OV, CESC and UCEC progression-associated protein-protein interaction networks to reveal the associations among these genes. Furthermore, Kaplan-Meier curve analysis showed that progression-related genes were associated with the duration of overall survival. Finally, NARS2 and TPT1 in OV, SMYD2, EGLN1, TNFRSF10D, FUT11, SYTL3, MMP8 and EREG in CESC, and SLC5A1, TXN, KDM4B, TXNDC11, HSDL2, COX16, MGAT4A, DAGLA, ELOVL7, THRB and PCOLCE2 in UCEC were identified as hub genes in cancer progression. Therefore, this study may assist in the identification of novel mechanisms underlying cancer progression and new biomarkers for gynecological cancer prognosis and therapy.
引用
收藏
页码:6516 / 6524
页数:9
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