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Identification of WTAP-related genes by weighted gene co-expression network analysis in ovarian cancer
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528330/ https://www.ncbi.nlm.nih.gov/pubmed/32998774 http://dx.doi.org/10.1186/s13048-020-00710-y |
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author | Wang, Jing Xu, Jing Li, Ke Huang, Yunke Dai, Yilin Xu, Congjian Kang, Yu |
author_facet | Wang, Jing Xu, Jing Li, Ke Huang, Yunke Dai, Yilin Xu, Congjian Kang, Yu |
author_sort | Wang, Jing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7528330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75283302020-10-02 Identification of WTAP-related genes by weighted gene co-expression network analysis in ovarian cancer Wang, Jing Xu, Jing Li, Ke Huang, Yunke Dai, Yilin Xu, Congjian Kang, Yu J Ovarian Res Research 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. BioMed Central 2020-09-30 /pmc/articles/PMC7528330/ /pubmed/32998774 http://dx.doi.org/10.1186/s13048-020-00710-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wang, Jing Xu, Jing Li, Ke Huang, Yunke Dai, Yilin Xu, Congjian Kang, Yu Identification of WTAP-related genes by weighted gene co-expression network analysis in ovarian cancer |
title | Identification of WTAP-related genes by weighted gene co-expression network analysis in ovarian cancer |
title_full | Identification of WTAP-related genes by weighted gene co-expression network analysis in ovarian cancer |
title_fullStr | Identification of WTAP-related genes by weighted gene co-expression network analysis in ovarian cancer |
title_full_unstemmed | Identification of WTAP-related genes by weighted gene co-expression network analysis in ovarian cancer |
title_short | Identification of WTAP-related genes by weighted gene co-expression network analysis in ovarian cancer |
title_sort | identification of wtap-related genes by weighted gene co-expression network analysis in ovarian cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528330/ https://www.ncbi.nlm.nih.gov/pubmed/32998774 http://dx.doi.org/10.1186/s13048-020-00710-y |
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