Cargando…

Evaluating the role of RAD52 and its interactors as novel potential molecular targets for hepatocellular carcinoma

BACKGROUND: Radiation sensitive 52 (RAD52) is an important protein that mediates DNA repair in tumors. However, little is known about the impact of RAD52 on hepatocellular carcinoma (HCC). We investigated the expression of RAD52 and its values in HCC. Some proteins that might be coordinated with RAD...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Ping, Xu, YanZhen, Zhang, Qinle, Li, Yu, Jia, Wenxian, Wang, Xiao, Xie, Zhibin, Liu, Jiayi, Zhao, Dong, Shao, Mengnan, Chen, Suixia, Mo, Nanfang, Jiang, Zhiwen, Li, Liuyan, Liu, Run, Huang, Wanying, Chang, Li, Chen, Siyu, Li, Hongtao, Zuo, Wenpu, Li, Jiaquan, Zhang, Ruoheng, Yang, Xiaoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836504/
https://www.ncbi.nlm.nih.gov/pubmed/31719794
http://dx.doi.org/10.1186/s12935-019-0996-6
_version_ 1783466921339912192
author Li, Ping
Xu, YanZhen
Zhang, Qinle
Li, Yu
Jia, Wenxian
Wang, Xiao
Xie, Zhibin
Liu, Jiayi
Zhao, Dong
Shao, Mengnan
Chen, Suixia
Mo, Nanfang
Jiang, Zhiwen
Li, Liuyan
Liu, Run
Huang, Wanying
Chang, Li
Chen, Siyu
Li, Hongtao
Zuo, Wenpu
Li, Jiaquan
Zhang, Ruoheng
Yang, Xiaoli
author_facet Li, Ping
Xu, YanZhen
Zhang, Qinle
Li, Yu
Jia, Wenxian
Wang, Xiao
Xie, Zhibin
Liu, Jiayi
Zhao, Dong
Shao, Mengnan
Chen, Suixia
Mo, Nanfang
Jiang, Zhiwen
Li, Liuyan
Liu, Run
Huang, Wanying
Chang, Li
Chen, Siyu
Li, Hongtao
Zuo, Wenpu
Li, Jiaquan
Zhang, Ruoheng
Yang, Xiaoli
author_sort Li, Ping
collection PubMed
description BACKGROUND: Radiation sensitive 52 (RAD52) is an important protein that mediates DNA repair in tumors. However, little is known about the impact of RAD52 on hepatocellular carcinoma (HCC). We investigated the expression of RAD52 and its values in HCC. Some proteins that might be coordinated with RAD52 in HCC were also analyzed. METHODS: Global RAD52 mRNA levels in HCC were assessed using The Cancer Genome Atlas (TCGA) database. RAD52 expression was analyzed in 70 HCC tissues and adjacent tissues by quantitative real-time PCR (qRT-PCR), Western blotting and immunohistochemistry. The effect of over-expressed RAD52 in Huh7 HCC cells was investigated. The String database was then used to perform enrichment and functional analysis of RAD52 and its interactome. Cytoscape software was used to create a protein–protein interaction network. Molecular interaction studies with RAD52 and its interactome were performed using the molecular docking tools in Hex8.0.0. Finally, these DNA repair proteins, which interact with RAD52, were also analyzed using the TCGA dataset and were detected by qRT-PCR. Based on the TCGA database, algorithms combining ROC between RAD52 and RAD52 interactors were used to diagnose HCC by binary logistic regression. RESULTS: In TCGA, upregulated RAD52 related to gender was obtained in HCC. The area under the receiver operating characteristic curve (AUC) of RAD52 was 0.704. The results of overall survival (OS) and recurrence-free survival (RFS) indicated no difference in the prognosis between patients with high and low RAD52 gene expression. We validated that RAD52 expression was increased at the mRNA and protein levels in Chinese HCC tissues compared with adjacent tissues. Higher RAD52 was associated with older age, without correlation with other clinicopathological factors. In vitro, over-expressed RAD52 significantly promoted the proliferation and migration of Huh7 cells. Furthermore, RAD52 interactors (radiation sensitive 51, RAD51; X-ray repair cross complementing 6, XRCC6; Cofilin, CFL1) were also increased in HCC and participated in some biological processes with RAD52. Protein structure analysis showed that RAD52–RAD51 had the firmest binding structure with the lowest E-total energy (− 1120.5 kcal/mol) among the RAD52–RAD51, RAD52–CFL1, and RAD52–XRCC6 complexes. An algorithm combining ROC between RAD52 and its interactome indicated a greater specificity and sensitivity for HCC screening. CONCLUSIONS: Overall, our study suggested that RAD52 plays a vital role in HCC pathogenesis and serves as a potential molecular target for HCC diagnosis and treatment. This study’s findings regarding the multigene prediction and diagnosis of HCC are valuable.
format Online
Article
Text
id pubmed-6836504
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-68365042019-11-12 Evaluating the role of RAD52 and its interactors as novel potential molecular targets for hepatocellular carcinoma Li, Ping Xu, YanZhen Zhang, Qinle Li, Yu Jia, Wenxian Wang, Xiao Xie, Zhibin Liu, Jiayi Zhao, Dong Shao, Mengnan Chen, Suixia Mo, Nanfang Jiang, Zhiwen Li, Liuyan Liu, Run Huang, Wanying Chang, Li Chen, Siyu Li, Hongtao Zuo, Wenpu Li, Jiaquan Zhang, Ruoheng Yang, Xiaoli Cancer Cell Int Primary Research BACKGROUND: Radiation sensitive 52 (RAD52) is an important protein that mediates DNA repair in tumors. However, little is known about the impact of RAD52 on hepatocellular carcinoma (HCC). We investigated the expression of RAD52 and its values in HCC. Some proteins that might be coordinated with RAD52 in HCC were also analyzed. METHODS: Global RAD52 mRNA levels in HCC were assessed using The Cancer Genome Atlas (TCGA) database. RAD52 expression was analyzed in 70 HCC tissues and adjacent tissues by quantitative real-time PCR (qRT-PCR), Western blotting and immunohistochemistry. The effect of over-expressed RAD52 in Huh7 HCC cells was investigated. The String database was then used to perform enrichment and functional analysis of RAD52 and its interactome. Cytoscape software was used to create a protein–protein interaction network. Molecular interaction studies with RAD52 and its interactome were performed using the molecular docking tools in Hex8.0.0. Finally, these DNA repair proteins, which interact with RAD52, were also analyzed using the TCGA dataset and were detected by qRT-PCR. Based on the TCGA database, algorithms combining ROC between RAD52 and RAD52 interactors were used to diagnose HCC by binary logistic regression. RESULTS: In TCGA, upregulated RAD52 related to gender was obtained in HCC. The area under the receiver operating characteristic curve (AUC) of RAD52 was 0.704. The results of overall survival (OS) and recurrence-free survival (RFS) indicated no difference in the prognosis between patients with high and low RAD52 gene expression. We validated that RAD52 expression was increased at the mRNA and protein levels in Chinese HCC tissues compared with adjacent tissues. Higher RAD52 was associated with older age, without correlation with other clinicopathological factors. In vitro, over-expressed RAD52 significantly promoted the proliferation and migration of Huh7 cells. Furthermore, RAD52 interactors (radiation sensitive 51, RAD51; X-ray repair cross complementing 6, XRCC6; Cofilin, CFL1) were also increased in HCC and participated in some biological processes with RAD52. Protein structure analysis showed that RAD52–RAD51 had the firmest binding structure with the lowest E-total energy (− 1120.5 kcal/mol) among the RAD52–RAD51, RAD52–CFL1, and RAD52–XRCC6 complexes. An algorithm combining ROC between RAD52 and its interactome indicated a greater specificity and sensitivity for HCC screening. CONCLUSIONS: Overall, our study suggested that RAD52 plays a vital role in HCC pathogenesis and serves as a potential molecular target for HCC diagnosis and treatment. This study’s findings regarding the multigene prediction and diagnosis of HCC are valuable. BioMed Central 2019-11-06 /pmc/articles/PMC6836504/ /pubmed/31719794 http://dx.doi.org/10.1186/s12935-019-0996-6 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Primary Research
Li, Ping
Xu, YanZhen
Zhang, Qinle
Li, Yu
Jia, Wenxian
Wang, Xiao
Xie, Zhibin
Liu, Jiayi
Zhao, Dong
Shao, Mengnan
Chen, Suixia
Mo, Nanfang
Jiang, Zhiwen
Li, Liuyan
Liu, Run
Huang, Wanying
Chang, Li
Chen, Siyu
Li, Hongtao
Zuo, Wenpu
Li, Jiaquan
Zhang, Ruoheng
Yang, Xiaoli
Evaluating the role of RAD52 and its interactors as novel potential molecular targets for hepatocellular carcinoma
title Evaluating the role of RAD52 and its interactors as novel potential molecular targets for hepatocellular carcinoma
title_full Evaluating the role of RAD52 and its interactors as novel potential molecular targets for hepatocellular carcinoma
title_fullStr Evaluating the role of RAD52 and its interactors as novel potential molecular targets for hepatocellular carcinoma
title_full_unstemmed Evaluating the role of RAD52 and its interactors as novel potential molecular targets for hepatocellular carcinoma
title_short Evaluating the role of RAD52 and its interactors as novel potential molecular targets for hepatocellular carcinoma
title_sort evaluating the role of rad52 and its interactors as novel potential molecular targets for hepatocellular carcinoma
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836504/
https://www.ncbi.nlm.nih.gov/pubmed/31719794
http://dx.doi.org/10.1186/s12935-019-0996-6
work_keys_str_mv AT liping evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT xuyanzhen evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT zhangqinle evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT liyu evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT jiawenxian evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT wangxiao evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT xiezhibin evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT liujiayi evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT zhaodong evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT shaomengnan evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT chensuixia evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT monanfang evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT jiangzhiwen evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT liliuyan evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT liurun evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT huangwanying evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT changli evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT chensiyu evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT lihongtao evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT zuowenpu evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT lijiaquan evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT zhangruoheng evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma
AT yangxiaoli evaluatingtheroleofrad52anditsinteractorsasnovelpotentialmoleculartargetsforhepatocellularcarcinoma