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High RRM2 expression has poor prognosis in specific types of breast cancer

BACKGROUND: RRM2 plays an important role in different malignant tumors, but there are few studies in breast cancer. Public databases were used to analyze the expression of RRM2 in breast cancer and its prognostic value. MATERIALS AND METHODS: A total of 2,509 breast cancer samples were downloaded fr...

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Detalles Bibliográficos
Autores principales: Shi, Shen-chao, Zhang, Yi, Wang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923511/
https://www.ncbi.nlm.nih.gov/pubmed/35290409
http://dx.doi.org/10.1371/journal.pone.0265195
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author Shi, Shen-chao
Zhang, Yi
Wang, Tao
author_facet Shi, Shen-chao
Zhang, Yi
Wang, Tao
author_sort Shi, Shen-chao
collection PubMed
description BACKGROUND: RRM2 plays an important role in different malignant tumors, but there are few studies in breast cancer. Public databases were used to analyze the expression of RRM2 in breast cancer and its prognostic value. MATERIALS AND METHODS: A total of 2,509 breast cancer samples were downloaded from the METABRIC database. The relationship between RRM2 expression and clinical pathology was evaluated. Using the BCIP database and real-time-PCR, and western blotting, RRM2 mRNA and protein expression of RRM2 in breast cancer tissues and cell lines were evaluated. Univariate and multivariate analysis defined independent prognostic factors that affected the overall survival of patients with breast cancer. The Kaplan-Meier method was used to study the relationship between the high expression of RRM2 and overall survival and distant metastasis-free survival (DMFS) of breast cancer patients. Finally, We performed Gene Set Enrichment Analysis (GSEA) and obtained the relevant pathways associated with high expression of RRM2 potentially influencing breast cancer progression. RESULTS: RRM2 expression was significantly correlated with age, tumor size, grade, menopausal status, molecular typing, ER, PR, and Her-2 of patients with breast cancer(P<0.05). Univariate and multivariate regression analysis showed that RRM2, the number of positive lymph nodes, ER, Her-2, tumor size, and tumor stage can be used as independent prognostic factors for overall survival of patients with breast cancer. Kaplan-Meier analysis showed that in patients with Luminal A and Normal like breast cancers and Stage1 and stage2 breast cancers, patients with high expression of RRM2 had worse overall survival and DMFS. The analysis of the GSEA pathway showed that RRM2 is mainly enriched in the ERBB signaling pathway and other pathways. CONCLUSION: The high expression of RRM2 has a worse prognosis in patients with breast cancer with specific features. It can be used as a biomarker for the prognosis of breast cancer.
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spelling pubmed-89235112022-03-16 High RRM2 expression has poor prognosis in specific types of breast cancer Shi, Shen-chao Zhang, Yi Wang, Tao PLoS One Research Article BACKGROUND: RRM2 plays an important role in different malignant tumors, but there are few studies in breast cancer. Public databases were used to analyze the expression of RRM2 in breast cancer and its prognostic value. MATERIALS AND METHODS: A total of 2,509 breast cancer samples were downloaded from the METABRIC database. The relationship between RRM2 expression and clinical pathology was evaluated. Using the BCIP database and real-time-PCR, and western blotting, RRM2 mRNA and protein expression of RRM2 in breast cancer tissues and cell lines were evaluated. Univariate and multivariate analysis defined independent prognostic factors that affected the overall survival of patients with breast cancer. The Kaplan-Meier method was used to study the relationship between the high expression of RRM2 and overall survival and distant metastasis-free survival (DMFS) of breast cancer patients. Finally, We performed Gene Set Enrichment Analysis (GSEA) and obtained the relevant pathways associated with high expression of RRM2 potentially influencing breast cancer progression. RESULTS: RRM2 expression was significantly correlated with age, tumor size, grade, menopausal status, molecular typing, ER, PR, and Her-2 of patients with breast cancer(P<0.05). Univariate and multivariate regression analysis showed that RRM2, the number of positive lymph nodes, ER, Her-2, tumor size, and tumor stage can be used as independent prognostic factors for overall survival of patients with breast cancer. Kaplan-Meier analysis showed that in patients with Luminal A and Normal like breast cancers and Stage1 and stage2 breast cancers, patients with high expression of RRM2 had worse overall survival and DMFS. The analysis of the GSEA pathway showed that RRM2 is mainly enriched in the ERBB signaling pathway and other pathways. CONCLUSION: The high expression of RRM2 has a worse prognosis in patients with breast cancer with specific features. It can be used as a biomarker for the prognosis of breast cancer. Public Library of Science 2022-03-15 /pmc/articles/PMC8923511/ /pubmed/35290409 http://dx.doi.org/10.1371/journal.pone.0265195 Text en © 2022 Shi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Shi, Shen-chao
Zhang, Yi
Wang, Tao
High RRM2 expression has poor prognosis in specific types of breast cancer
title High RRM2 expression has poor prognosis in specific types of breast cancer
title_full High RRM2 expression has poor prognosis in specific types of breast cancer
title_fullStr High RRM2 expression has poor prognosis in specific types of breast cancer
title_full_unstemmed High RRM2 expression has poor prognosis in specific types of breast cancer
title_short High RRM2 expression has poor prognosis in specific types of breast cancer
title_sort high rrm2 expression has poor prognosis in specific types of breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923511/
https://www.ncbi.nlm.nih.gov/pubmed/35290409
http://dx.doi.org/10.1371/journal.pone.0265195
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