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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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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. |
format | Online Article Text |
id | pubmed-10134310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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