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RMI2 is a novel prognostic and predictive biomarker for breast cancer

BACKGROUND: RecQ‐mediated genome instability 2 (RMI2) maintains genome stability by promoting DNA damage repair. It has been reported to accelerate the progression of several tumors. However, the functional mechanism of RMI2 in breast cancer remains unclear. METHODS: Gene expression profiles were ob...

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Autores principales: Zhang, Lijie, Hao, Chuncheng, Han, Baojuan, Zeng, Guangchun, Han, Lili, Cao, Cong, Liu, Hui, Zhong, Zhenbin, Zhao, Xue, Wang, Jingxuan, Zhang, Qingyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134310/
https://www.ncbi.nlm.nih.gov/pubmed/36533385
http://dx.doi.org/10.1002/cam4.5533
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author Zhang, Lijie
Hao, Chuncheng
Han, Baojuan
Zeng, Guangchun
Han, Lili
Cao, Cong
Liu, Hui
Zhong, Zhenbin
Zhao, Xue
Wang, Jingxuan
Zhang, Qingyuan
author_facet Zhang, Lijie
Hao, Chuncheng
Han, Baojuan
Zeng, Guangchun
Han, Lili
Cao, Cong
Liu, Hui
Zhong, Zhenbin
Zhao, Xue
Wang, Jingxuan
Zhang, Qingyuan
author_sort Zhang, Lijie
collection PubMed
description BACKGROUND: RecQ‐mediated genome instability 2 (RMI2) maintains genome stability by promoting DNA damage repair. It has been reported to accelerate the progression of several tumors. However, the functional mechanism of RMI2 in breast cancer remains unclear. METHODS: Gene expression profiles were obtained from TCGA, GTEx, and GEO databases. The expression of RMI2 and its prognostic value in breast cancer was explored. In addition, we calculated pooled standardized mean deviation (SMD) and performed a summary receiver operating characteristic (sROC) curve analysis to further determine RMI2 expression status and diagnostic significance. The functions and related signaling pathways were investigated based on GO and KEGG analyses. The PPI network was constructed by combining the STRING database and Cytoscape software. Subsequently, in vitro assays were conducted to detect the effect of RMI2 on the proliferation and migration of breast cancer cells. RESULTS: The expression of RMI2 was markedly upregulated in breast cancer tissues relative to that in normal tissues. Moreover, pooled SMD further confirmed the overexpression of RMI2 in breast cancer (SMD = 1.29, 95% confidence interval (CI): 1.18–1.41, p = 0.000). The sROC curve analysis result suggested that RMI2 had a relatively high diagnostic ability in breast cancer (AUC = 0.87, 95% CI: 0.84–0.90). High RMI2 expression was associated with poor prognosis. GO and KEGG analyses revealed that RMI2 was closely related to cell adhesion, various enzyme activities, and PI3K/AKT signaling pathway. PPI analysis showed that RMI2 had interactions with proteins involved in DNA damage repair. knockdown of RMI2 remarkably inhibited the proliferation and migration of breast cancer cells, while overexpression of RMI2 exerted the opposite effects. Furthermore, we identified that RMI2 accelerates the proliferation and migration of breast cancer cells via activation of the PI3K/AKT pathway. CONCLUSION: The results suggest that RMI2 is a potential diagnostic and prognostic biomarker associated with cell proliferation and migration, and may be used as a novel therapeutic target for breast cancer in the future.
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spelling pubmed-101343102023-04-28 RMI2 is a novel prognostic and predictive biomarker for breast cancer Zhang, Lijie Hao, Chuncheng Han, Baojuan Zeng, Guangchun Han, Lili Cao, Cong Liu, Hui Zhong, Zhenbin Zhao, Xue Wang, Jingxuan Zhang, Qingyuan Cancer Med RESEARCH ARTICLES BACKGROUND: RecQ‐mediated genome instability 2 (RMI2) maintains genome stability by promoting DNA damage repair. It has been reported to accelerate the progression of several tumors. However, the functional mechanism of RMI2 in breast cancer remains unclear. METHODS: Gene expression profiles were obtained from TCGA, GTEx, and GEO databases. The expression of RMI2 and its prognostic value in breast cancer was explored. In addition, we calculated pooled standardized mean deviation (SMD) and performed a summary receiver operating characteristic (sROC) curve analysis to further determine RMI2 expression status and diagnostic significance. The functions and related signaling pathways were investigated based on GO and KEGG analyses. The PPI network was constructed by combining the STRING database and Cytoscape software. Subsequently, in vitro assays were conducted to detect the effect of RMI2 on the proliferation and migration of breast cancer cells. RESULTS: The expression of RMI2 was markedly upregulated in breast cancer tissues relative to that in normal tissues. Moreover, pooled SMD further confirmed the overexpression of RMI2 in breast cancer (SMD = 1.29, 95% confidence interval (CI): 1.18–1.41, p = 0.000). The sROC curve analysis result suggested that RMI2 had a relatively high diagnostic ability in breast cancer (AUC = 0.87, 95% CI: 0.84–0.90). High RMI2 expression was associated with poor prognosis. GO and KEGG analyses revealed that RMI2 was closely related to cell adhesion, various enzyme activities, and PI3K/AKT signaling pathway. PPI analysis showed that RMI2 had interactions with proteins involved in DNA damage repair. knockdown of RMI2 remarkably inhibited the proliferation and migration of breast cancer cells, while overexpression of RMI2 exerted the opposite effects. Furthermore, we identified that RMI2 accelerates the proliferation and migration of breast cancer cells via activation of the PI3K/AKT pathway. CONCLUSION: The results suggest that RMI2 is a potential diagnostic and prognostic biomarker associated with cell proliferation and migration, and may be used as a novel therapeutic target for breast cancer in the future. John Wiley and Sons Inc. 2022-12-19 /pmc/articles/PMC10134310/ /pubmed/36533385 http://dx.doi.org/10.1002/cam4.5533 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle RESEARCH ARTICLES
Zhang, Lijie
Hao, Chuncheng
Han, Baojuan
Zeng, Guangchun
Han, Lili
Cao, Cong
Liu, Hui
Zhong, Zhenbin
Zhao, Xue
Wang, Jingxuan
Zhang, Qingyuan
RMI2 is a novel prognostic and predictive biomarker for breast cancer
title RMI2 is a novel prognostic and predictive biomarker for breast cancer
title_full RMI2 is a novel prognostic and predictive biomarker for breast cancer
title_fullStr RMI2 is a novel prognostic and predictive biomarker for breast cancer
title_full_unstemmed RMI2 is a novel prognostic and predictive biomarker for breast cancer
title_short RMI2 is a novel prognostic and predictive biomarker for breast cancer
title_sort rmi2 is a novel prognostic and predictive biomarker for breast cancer
topic RESEARCH ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134310/
https://www.ncbi.nlm.nih.gov/pubmed/36533385
http://dx.doi.org/10.1002/cam4.5533
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