Identification of WTAP-related genes by weighted gene co-expression network analysis in ovarian cancer

被引:15
|
作者
Wang, Jing [1 ,2 ]
Xu, Jing [1 ,2 ]
Li, Ke [1 ]
Huang, Yunke [1 ]
Dai, Yilin [1 ]
Xu, Congjian [1 ,2 ]
Kang, Yu [1 ,2 ]
机构
[1] Fudan Univ, Obstet & Gynecol Hosp, 419 Fangxie Rd, Shanghai 200011, Peoples R China
[2] Shanghai Key Lab Female Reprod Endocrine Related, Shanghai 200011, Peoples R China
基金
国家重点研发计划;
关键词
Ovarian cancer; Progression; WTAP; WGCNA; HBS1L; FAM76A; TUMOR 1-ASSOCIATING PROTEIN; EXPRESSION;
D O I
10.1186/s13048-020-00710-y
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background Wilms tumor 1 associated protein (WTAP) modulates other genes via transcriptional and post-transcriptional regulation, in particular, by acting as a N6-methyladenosine writer or binding to the 3'UTR of mRNA, and promotes a variety of tumuors. However, the roles and mechanisms of WTAP in ovarian cancer are unknown. Results In this study, using univariate Cox analysis and online CPTA analysis, we found that WTAP was a poor prognostic factor for ovarian cancer, and its protein expression level was higher in ovarian cancer than in normal tissue. Functionally, WTAP promoted the proliferation, invasion, and migration capability of ovarian cancer, according to the results of real time cellular analysis (RTCA), EdU cell proliferation assay, transwell assay. Subsequently, we identified a module containing 133 genes that were carefully related to WTAP expression through weighted gene co-expression network analysis (WGCNA). By calculating the hazard ratios of these genes and comparing their differences in the WTAP high-expression group and the low-expression group, we observed that there was a significant positive correlation between WTAP and two poor survival-related genes, family with sequence similarity 76 member A (FAM76A) and HBS1 like translational GTPase (HBS1L), which was also verified by quantitative real-time PCR in SKOV3 and A2780 cells. Conclusion WTAP functions as an oncogenic factor that promotes the progression of ovarian cancer in which WTAP-HBS1L/FAM76A axis may be involved. Our study indicates the potential role of WTAP in prognostic biomarker and therapeutic target for ovarian cancer.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Molecular profiling of mucinous epithelial ovarian cancer by weighted gene co-expression network analysis
    Zhang, Gui Hong
    Chen, Miao Miao
    Kai, Jin Yan
    Ma, Qian
    Zhong, Ai Ling
    Xie, Su Hong
    Zheng, Hui
    Wang, Yan Chun
    Tong, Ying
    Lu, Ren Quan
    Guo, Lin
    GENE, 2019, 709 : 56 - 64
  • [22] Identification of driving genes of familial adenomatous polyposis by differential gene expression analysis and weighted gene co-expression network analysis
    Lin, Wan-Rong
    Liu, Wei-Qing
    Meng, Xuan-Yu
    Liu, Xiao-Ting
    Kou, Zhi-Yong
    Li, Wen-Liang
    Yang, Jun
    TECHNOLOGY AND HEALTH CARE, 2024, 32 (03) : 1675 - 1696
  • [23] Identification of hub genes in prostate cancer using robust rank aggregation and weighted gene co-expression network analysis
    Song, Zhen-yu
    Chao, Fan
    Zhuo, Zhiyuan
    Ma, Zhe
    Li, Wenzhi
    Chen, Gang
    AGING-US, 2019, 11 (13): : 4736 - 4756
  • [24] Identification of Hub Genes as Biomarkers Correlated with the Proliferation and Prognosis in Lung Cancer: A Weighted Gene Co-Expression Network Analysis
    Xu, Xuting
    Xu, Limin
    Huang, Huilian
    Li, Jing
    Dong, Shunli
    Jin, Lili
    Ma, Zhihong
    Li, Liqin
    BIOMED RESEARCH INTERNATIONAL, 2020, 2020
  • [25] Hub Genes of Recurrent Laryngeal Cancer Identified by Weighted Gene Co-Expression Network Analysis
    Xu, Yi
    Lu, Daikai
    INDIAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2022, 84 : 77 - 83
  • [26] Identification of prognostic genes for early basal-like breast cancer with weighted gene co-expression network analysis
    Yuan, Keyu
    Wu, Min
    Lyu, Shuzhen
    Li, Yanping
    MEDICINE, 2022, 101 (42) : E30581
  • [27] Identification of hub genes in bladder cancer based on weighted gene co-expression network analysis from TCGA database
    Wang, Lei
    Liu, Xudong
    Yue, Miao
    Liu, Zhe
    Zhang, Yu
    Ma, Ying
    Luo, Jia
    Li, Wuling
    Bai, Jiangshan
    Yao, Hongmei
    Chen, Yuxuan
    Li, Xiaofeng
    Feng, Dayun
    Song, Xinqiang
    CANCER REPORTS, 2022, 5 (09)
  • [28] Identification of Hub Genes in Gastric Cancer with High Heterogeneity Based on Weighted Gene Co-Expression Network
    Dong, Zhe
    Pei, Shengnan
    Zhao, Yan
    Guo, Shuai
    Wang, Yue
    CRITICAL REVIEWS IN EUKARYOTIC GENE EXPRESSION, 2020, 30 (02): : 101 - 109
  • [29] Identification of Prognostic Genes for Colon Cancer through Gene Co-expression Network Analysis
    Dan-wen Wang
    Zhang-shuo Yang
    Jian Xu
    Li-jie Yang
    Tie-cheng Yang
    Hua-qiao Wang
    Mao-hui Feng
    Fei Su
    Current Medical Science, 2021, 41 : 1012 - 1022
  • [30] Identification of Prognostic Genes for Colon Cancer through Gene Co-expression Network Analysis
    Wang, Dan-wen
    Yang, Zhang-shuo
    Xu, Jian
    Yang, Li-jie
    Yang, Tie-cheng
    Wang, Hua-qiao
    Feng, Mao-hui
    Su, Fei
    CURRENT MEDICAL SCIENCE, 2021, 41 (05) : 1012 - 1022