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Exploration of Prognostic Biomarkers among Replication Factor C Family in the Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is one of the common cancers with a high incidence and mortality. The human replication factor C (RFC) family contains 5 subunits that play an important role in DNA replication and DNA damage repair. RFCs are abnormally expressed in a variety of cancers; some of them a...

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Autores principales: Deng, Jianxiong, Zhong, Fangyan, Gu, Weiguo, Qiu, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885030/
https://www.ncbi.nlm.nih.gov/pubmed/33628006
http://dx.doi.org/10.1177/1176934321994109
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author Deng, Jianxiong
Zhong, Fangyan
Gu, Weiguo
Qiu, Feng
author_facet Deng, Jianxiong
Zhong, Fangyan
Gu, Weiguo
Qiu, Feng
author_sort Deng, Jianxiong
collection PubMed
description Hepatocellular carcinoma (HCC) is one of the common cancers with a high incidence and mortality. The human replication factor C (RFC) family contains 5 subunits that play an important role in DNA replication and DNA damage repair. RFCs are abnormally expressed in a variety of cancers; some of them are differentially expressed in HCC tissues and related to tumor growth. However, the expression, prognostic value, and effect targets of the whole RFC family in HCC are still unclear. To address these issues, we performed a multidimensional analysis of RFCs in HCC patients by Oncomine, UALCAN, GEPIA, Human protein atlas, Kaplan-Meier plotter, cBioPortal, GeneMANIA, String, and LinkedOmics. mRNA expression of RFCs was significantly increased in HCC tissues. There was a significant correlation between the expression of RFC2/3/4/5 and tumor stage of HCC patients. Besides, high mRNA expression of RFC2/4 was associated with worse overall survival (OS). Moreover, genetic alterations of RFCs were associated with worse OS in HCC patients. We found that genes co-expressed with RFC2/4 were mainly involved in biological processes, such as chromosome segregation, mitotic cell cycle phase transition, and telomere organization and they activated the cell cycle and spliceosome pathways. The gene set is mainly enriched in cancer-related kinases AURKA, ATR, CDK1, PLK1, and CHEK1. E2F family members were the key transcription factors for RFCs. Our results suggest that differentially expressed RFC2 and RFC4 are potential prognostic biomarkers in HCC and may act on E2F transcription factors and some kinase targets to dysregulate the cell cycle pathway. These efforts may provide new research directions for prognostic biomarkers and therapeutic targets in HCC.
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spelling pubmed-78850302021-02-23 Exploration of Prognostic Biomarkers among Replication Factor C Family in the Hepatocellular Carcinoma Deng, Jianxiong Zhong, Fangyan Gu, Weiguo Qiu, Feng Evol Bioinform Online Original Research Hepatocellular carcinoma (HCC) is one of the common cancers with a high incidence and mortality. The human replication factor C (RFC) family contains 5 subunits that play an important role in DNA replication and DNA damage repair. RFCs are abnormally expressed in a variety of cancers; some of them are differentially expressed in HCC tissues and related to tumor growth. However, the expression, prognostic value, and effect targets of the whole RFC family in HCC are still unclear. To address these issues, we performed a multidimensional analysis of RFCs in HCC patients by Oncomine, UALCAN, GEPIA, Human protein atlas, Kaplan-Meier plotter, cBioPortal, GeneMANIA, String, and LinkedOmics. mRNA expression of RFCs was significantly increased in HCC tissues. There was a significant correlation between the expression of RFC2/3/4/5 and tumor stage of HCC patients. Besides, high mRNA expression of RFC2/4 was associated with worse overall survival (OS). Moreover, genetic alterations of RFCs were associated with worse OS in HCC patients. We found that genes co-expressed with RFC2/4 were mainly involved in biological processes, such as chromosome segregation, mitotic cell cycle phase transition, and telomere organization and they activated the cell cycle and spliceosome pathways. The gene set is mainly enriched in cancer-related kinases AURKA, ATR, CDK1, PLK1, and CHEK1. E2F family members were the key transcription factors for RFCs. Our results suggest that differentially expressed RFC2 and RFC4 are potential prognostic biomarkers in HCC and may act on E2F transcription factors and some kinase targets to dysregulate the cell cycle pathway. These efforts may provide new research directions for prognostic biomarkers and therapeutic targets in HCC. SAGE Publications 2021-02-12 /pmc/articles/PMC7885030/ /pubmed/33628006 http://dx.doi.org/10.1177/1176934321994109 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Deng, Jianxiong
Zhong, Fangyan
Gu, Weiguo
Qiu, Feng
Exploration of Prognostic Biomarkers among Replication Factor C Family in the Hepatocellular Carcinoma
title Exploration of Prognostic Biomarkers among Replication Factor C Family in the Hepatocellular Carcinoma
title_full Exploration of Prognostic Biomarkers among Replication Factor C Family in the Hepatocellular Carcinoma
title_fullStr Exploration of Prognostic Biomarkers among Replication Factor C Family in the Hepatocellular Carcinoma
title_full_unstemmed Exploration of Prognostic Biomarkers among Replication Factor C Family in the Hepatocellular Carcinoma
title_short Exploration of Prognostic Biomarkers among Replication Factor C Family in the Hepatocellular Carcinoma
title_sort exploration of prognostic biomarkers among replication factor c family in the hepatocellular carcinoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885030/
https://www.ncbi.nlm.nih.gov/pubmed/33628006
http://dx.doi.org/10.1177/1176934321994109
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