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Overexpressed XRCC2 as an independent risk factor for poor prognosis in glioma patients

BACKGROUND: XRCC2, a homologous recombination-related gene, has been reported to be associated with a variety of cancers. However, its role in glioma has not been reported. This study aimed to find out the role of XRCC2 in glioma and reveal in which glioma-specific biological processes is XRCC2 invo...

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Autores principales: Liu, Zhendong, Zhang, Wang, Cheng, Xingbo, Wang, Hongbo, Bian, Lu, Wang, Jialin, Han, Zhibin, Wang, Yanbiao, Lian, Xiaoyu, Liu, Binfeng, Ren, Zhishuai, Zhang, Bo, Jiang, Zhenfeng, Lin, Zhiguo, Gao, Yanzheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164800/
https://www.ncbi.nlm.nih.gov/pubmed/34051735
http://dx.doi.org/10.1186/s10020-021-00316-0
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author Liu, Zhendong
Zhang, Wang
Cheng, Xingbo
Wang, Hongbo
Bian, Lu
Wang, Jialin
Han, Zhibin
Wang, Yanbiao
Lian, Xiaoyu
Liu, Binfeng
Ren, Zhishuai
Zhang, Bo
Jiang, Zhenfeng
Lin, Zhiguo
Gao, Yanzheng
author_facet Liu, Zhendong
Zhang, Wang
Cheng, Xingbo
Wang, Hongbo
Bian, Lu
Wang, Jialin
Han, Zhibin
Wang, Yanbiao
Lian, Xiaoyu
Liu, Binfeng
Ren, Zhishuai
Zhang, Bo
Jiang, Zhenfeng
Lin, Zhiguo
Gao, Yanzheng
author_sort Liu, Zhendong
collection PubMed
description BACKGROUND: XRCC2, a homologous recombination-related gene, has been reported to be associated with a variety of cancers. However, its role in glioma has not been reported. This study aimed to find out the role of XRCC2 in glioma and reveal in which glioma-specific biological processes is XRCC2 involved based on thousands of glioma samples, thereby, providing a new perspective in the treatment and prognostic evaluation of glioma. METHODS: The expression characteristics of XRCC2 in thousands of glioma samples from CGGA and TCGA databases were comprehensively analyzed. Wilcox or Kruskal test was used to analyze the expression pattern of XRCC2 in gliomas with different clinical and molecular features. The effect of XRCC2 on the prognosis of glioma patients was explored by Kaplan–Meier and Cox regression. Gene set enrichment analysis (GSEA) revealed the possible cellular mechanisms involved in XRCC2 in glioma. Connectivity map (CMap) was used to screen small molecule drugs targeting XRCC2 and the expression levels of XRCC2 were verified in glioma cells and tissues by RT-qPCR and immunohistochemical staining. RESULTS: We found the overexpression of XRCC2 in glioma. Moreover, the overexpressed XRCC2 was associated with a variety of clinical features related to prognosis. Cox and meta-analyses showed that XRCC2 is an independent risk factor for the poor prognosis of glioma. Furthermore, the results of GSEA indicated that overexpressed XRCC2 could promote malignant progression through involved signaling pathways, such as in the cell cycle. Finally, doxazosin, quinostatin, canavanine, and chrysin were identified to exert anti-glioma effects by targeting XRCC2. CONCLUSIONS: This study analyzed the expression pattern of XRCC2 in gliomas and its relationship with prognosis using multiple datasets. This is the first study to show that XRCC2, a novel oncogene, is significantly overexpressed in glioma and can lead to poor prognosis in glioma patients. XRCC2 could serve as a new biomarker for glioma diagnosis, treatment, and prognosis evaluation, thus bringing new insight into the management of glioma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s10020-021-00316-0.
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spelling pubmed-81648002021-06-01 Overexpressed XRCC2 as an independent risk factor for poor prognosis in glioma patients Liu, Zhendong Zhang, Wang Cheng, Xingbo Wang, Hongbo Bian, Lu Wang, Jialin Han, Zhibin Wang, Yanbiao Lian, Xiaoyu Liu, Binfeng Ren, Zhishuai Zhang, Bo Jiang, Zhenfeng Lin, Zhiguo Gao, Yanzheng Mol Med Research Article BACKGROUND: XRCC2, a homologous recombination-related gene, has been reported to be associated with a variety of cancers. However, its role in glioma has not been reported. This study aimed to find out the role of XRCC2 in glioma and reveal in which glioma-specific biological processes is XRCC2 involved based on thousands of glioma samples, thereby, providing a new perspective in the treatment and prognostic evaluation of glioma. METHODS: The expression characteristics of XRCC2 in thousands of glioma samples from CGGA and TCGA databases were comprehensively analyzed. Wilcox or Kruskal test was used to analyze the expression pattern of XRCC2 in gliomas with different clinical and molecular features. The effect of XRCC2 on the prognosis of glioma patients was explored by Kaplan–Meier and Cox regression. Gene set enrichment analysis (GSEA) revealed the possible cellular mechanisms involved in XRCC2 in glioma. Connectivity map (CMap) was used to screen small molecule drugs targeting XRCC2 and the expression levels of XRCC2 were verified in glioma cells and tissues by RT-qPCR and immunohistochemical staining. RESULTS: We found the overexpression of XRCC2 in glioma. Moreover, the overexpressed XRCC2 was associated with a variety of clinical features related to prognosis. Cox and meta-analyses showed that XRCC2 is an independent risk factor for the poor prognosis of glioma. Furthermore, the results of GSEA indicated that overexpressed XRCC2 could promote malignant progression through involved signaling pathways, such as in the cell cycle. Finally, doxazosin, quinostatin, canavanine, and chrysin were identified to exert anti-glioma effects by targeting XRCC2. CONCLUSIONS: This study analyzed the expression pattern of XRCC2 in gliomas and its relationship with prognosis using multiple datasets. This is the first study to show that XRCC2, a novel oncogene, is significantly overexpressed in glioma and can lead to poor prognosis in glioma patients. XRCC2 could serve as a new biomarker for glioma diagnosis, treatment, and prognosis evaluation, thus bringing new insight into the management of glioma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s10020-021-00316-0. BioMed Central 2021-05-29 /pmc/articles/PMC8164800/ /pubmed/34051735 http://dx.doi.org/10.1186/s10020-021-00316-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Liu, Zhendong
Zhang, Wang
Cheng, Xingbo
Wang, Hongbo
Bian, Lu
Wang, Jialin
Han, Zhibin
Wang, Yanbiao
Lian, Xiaoyu
Liu, Binfeng
Ren, Zhishuai
Zhang, Bo
Jiang, Zhenfeng
Lin, Zhiguo
Gao, Yanzheng
Overexpressed XRCC2 as an independent risk factor for poor prognosis in glioma patients
title Overexpressed XRCC2 as an independent risk factor for poor prognosis in glioma patients
title_full Overexpressed XRCC2 as an independent risk factor for poor prognosis in glioma patients
title_fullStr Overexpressed XRCC2 as an independent risk factor for poor prognosis in glioma patients
title_full_unstemmed Overexpressed XRCC2 as an independent risk factor for poor prognosis in glioma patients
title_short Overexpressed XRCC2 as an independent risk factor for poor prognosis in glioma patients
title_sort overexpressed xrcc2 as an independent risk factor for poor prognosis in glioma patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164800/
https://www.ncbi.nlm.nih.gov/pubmed/34051735
http://dx.doi.org/10.1186/s10020-021-00316-0
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