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TOP2A and CENPF are synergistic master regulators activated in cervical cancer

BACKGROUND: Identification of master regulators (MRs) using transcriptome data in cervical cancer (CC) could help us to develop biomarkers and find novel drug targets to fight this disease. METHODS: We performed differential expression (DE) analyses of public microarray and RNA-seq transcriptome dat...

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Autores principales: Yu, Beiwei, Chen, Long, Zhang, Weina, Li, Yue, Zhang, Yibiao, Gao, Yuan, Teng, Xianlin, Zou, Libo, Wang, Qian, Jia, Hongtao, Liu, Xiangtao, Zheng, Hui, Hou, Ping, Yu, Hongyan, Sun, Ying, Zhang, Zhiqin, Zhang, Ping, Zhang, Liqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541258/
https://www.ncbi.nlm.nih.gov/pubmed/33023625
http://dx.doi.org/10.1186/s12920-020-00800-2
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author Yu, Beiwei
Chen, Long
Zhang, Weina
Li, Yue
Zhang, Yibiao
Gao, Yuan
Teng, Xianlin
Zou, Libo
Wang, Qian
Jia, Hongtao
Liu, Xiangtao
Zheng, Hui
Hou, Ping
Yu, Hongyan
Sun, Ying
Zhang, Zhiqin
Zhang, Ping
Zhang, Liqin
author_facet Yu, Beiwei
Chen, Long
Zhang, Weina
Li, Yue
Zhang, Yibiao
Gao, Yuan
Teng, Xianlin
Zou, Libo
Wang, Qian
Jia, Hongtao
Liu, Xiangtao
Zheng, Hui
Hou, Ping
Yu, Hongyan
Sun, Ying
Zhang, Zhiqin
Zhang, Ping
Zhang, Liqin
author_sort Yu, Beiwei
collection PubMed
description BACKGROUND: Identification of master regulators (MRs) using transcriptome data in cervical cancer (CC) could help us to develop biomarkers and find novel drug targets to fight this disease. METHODS: We performed differential expression (DE) analyses of public microarray and RNA-seq transcriptome data of CC and normal cervical tissues (N). Virtual Inference of Protein activity by Enriched Regulon analysis (VIPER) was used to convert the DE outcomes to differential activity (DA) signature for MRs. Synergy analysis was conducted to study synergistic effect of MR-pairs. TCGA and microarray data were used to test the association of expression of a MR and a clinical feature or a molecular feature (e.g. somatic mutations). Various bioinformatic tools/websites (DAVID, GEPIA2, Oncomine, cBioPortal) were used to analyze the expression of the top MRs and their regulons. RESULTS: Ten DE and 10 DA signatures were generated for CC. Two MRs, DNA topoisomerase II alpha (TOP2A) and centromere protein F (CENPF) were found to be up-regulated, activated and synergistic in CC compared to N across the 10 datasets. The two MRs activate a common set of genes (regulons) with functions in cell cycle, chromosome, DNA damage etc. Higher expression of CENPF was associated with metastasis. High expression of both MRs is associated with somatic mutation of a set of genes including tumor suppressors (TP53, MSH2, RB1) and genes involved in cancer pathways, cell cycle, DNA damage and repair. The magnitude of up-regulation and the absolute expression level of both MRs in CC are significantly higher compared to many other cancer types. CONCLUSION: TOP2A and CENPF are a synergistic pair of MRs that are overexpressed and activated in CC. Their high expression is correlated with some prognosis features (e.g. metastasis) and molecular features (e.g. somatic mutations) and distinctly high in CC vs. many other cancer types. They may be good biomarkers and anticancer drug targets for CC.
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spelling pubmed-75412582020-10-08 TOP2A and CENPF are synergistic master regulators activated in cervical cancer Yu, Beiwei Chen, Long Zhang, Weina Li, Yue Zhang, Yibiao Gao, Yuan Teng, Xianlin Zou, Libo Wang, Qian Jia, Hongtao Liu, Xiangtao Zheng, Hui Hou, Ping Yu, Hongyan Sun, Ying Zhang, Zhiqin Zhang, Ping Zhang, Liqin BMC Med Genomics Research Article BACKGROUND: Identification of master regulators (MRs) using transcriptome data in cervical cancer (CC) could help us to develop biomarkers and find novel drug targets to fight this disease. METHODS: We performed differential expression (DE) analyses of public microarray and RNA-seq transcriptome data of CC and normal cervical tissues (N). Virtual Inference of Protein activity by Enriched Regulon analysis (VIPER) was used to convert the DE outcomes to differential activity (DA) signature for MRs. Synergy analysis was conducted to study synergistic effect of MR-pairs. TCGA and microarray data were used to test the association of expression of a MR and a clinical feature or a molecular feature (e.g. somatic mutations). Various bioinformatic tools/websites (DAVID, GEPIA2, Oncomine, cBioPortal) were used to analyze the expression of the top MRs and their regulons. RESULTS: Ten DE and 10 DA signatures were generated for CC. Two MRs, DNA topoisomerase II alpha (TOP2A) and centromere protein F (CENPF) were found to be up-regulated, activated and synergistic in CC compared to N across the 10 datasets. The two MRs activate a common set of genes (regulons) with functions in cell cycle, chromosome, DNA damage etc. Higher expression of CENPF was associated with metastasis. High expression of both MRs is associated with somatic mutation of a set of genes including tumor suppressors (TP53, MSH2, RB1) and genes involved in cancer pathways, cell cycle, DNA damage and repair. The magnitude of up-regulation and the absolute expression level of both MRs in CC are significantly higher compared to many other cancer types. CONCLUSION: TOP2A and CENPF are a synergistic pair of MRs that are overexpressed and activated in CC. Their high expression is correlated with some prognosis features (e.g. metastasis) and molecular features (e.g. somatic mutations) and distinctly high in CC vs. many other cancer types. They may be good biomarkers and anticancer drug targets for CC. BioMed Central 2020-10-06 /pmc/articles/PMC7541258/ /pubmed/33023625 http://dx.doi.org/10.1186/s12920-020-00800-2 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 Article
Yu, Beiwei
Chen, Long
Zhang, Weina
Li, Yue
Zhang, Yibiao
Gao, Yuan
Teng, Xianlin
Zou, Libo
Wang, Qian
Jia, Hongtao
Liu, Xiangtao
Zheng, Hui
Hou, Ping
Yu, Hongyan
Sun, Ying
Zhang, Zhiqin
Zhang, Ping
Zhang, Liqin
TOP2A and CENPF are synergistic master regulators activated in cervical cancer
title TOP2A and CENPF are synergistic master regulators activated in cervical cancer
title_full TOP2A and CENPF are synergistic master regulators activated in cervical cancer
title_fullStr TOP2A and CENPF are synergistic master regulators activated in cervical cancer
title_full_unstemmed TOP2A and CENPF are synergistic master regulators activated in cervical cancer
title_short TOP2A and CENPF are synergistic master regulators activated in cervical cancer
title_sort top2a and cenpf are synergistic master regulators activated in cervical cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541258/
https://www.ncbi.nlm.nih.gov/pubmed/33023625
http://dx.doi.org/10.1186/s12920-020-00800-2
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