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Identification of prognostic significance of BIRC5 in breast cancer using integrative bioinformatics analysis

Aims: Baculoviral inhibitor of apoptosis repeat containing 5 (BIRC5) plays vital roles in carcinogenesis by influencing cell division and proliferation and by inhibiting apoptosis. However, the prognostic significance of BIRC5 remains unclear in breast cancer. Methods: BIRC5 expression and methylati...

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Autores principales: Dai, Jian-bo, Zhu, Bei, Lin, Wei-jia, Gao, Hai-yan, Dai, Hong, Zheng, Lin, Shi, Wei-hai, Chen, Wei-xian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029152/
https://www.ncbi.nlm.nih.gov/pubmed/32043523
http://dx.doi.org/10.1042/BSR20193678
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author Dai, Jian-bo
Zhu, Bei
Lin, Wei-jia
Gao, Hai-yan
Dai, Hong
Zheng, Lin
Shi, Wei-hai
Chen, Wei-xian
author_facet Dai, Jian-bo
Zhu, Bei
Lin, Wei-jia
Gao, Hai-yan
Dai, Hong
Zheng, Lin
Shi, Wei-hai
Chen, Wei-xian
author_sort Dai, Jian-bo
collection PubMed
description Aims: Baculoviral inhibitor of apoptosis repeat containing 5 (BIRC5) plays vital roles in carcinogenesis by influencing cell division and proliferation and by inhibiting apoptosis. However, the prognostic significance of BIRC5 remains unclear in breast cancer. Methods: BIRC5 expression and methylation status were evaluated using the Oncomine and The Cancer Genome Atlas (TCGA) databases. The relevance between BIRC5 and different clinicopathological features as well as survival information was analyzed using the bc-GenExMiner database and Kaplan–Meier Plotter. BIRC5–drug interaction network was obtained using the Comparative Toxicogenomics Database. Results: Based on the results from databases and own hospital data, BIRC5 was higher expressed in different breast cancer subtypes compared with the matched normal individuals. Hormone receptors were negatively correlated with BIRC5 expression, whereas the Scarff–Bloom–Richardson (SBR) grade, Nottingham Prognostic Index (NPI), human epidermal growth factor receptor-2 (HER-2) status, basal-like status, and triple-negative status were positively related to BIRC5 level in breast cancer samples with respect to normal tissues. High BIRC5 expression was responsible for shorter relapse-free survival, worse overall survival, reduced distant metastasis free survival, and increased risk of metastatic relapse event. BIRC5–drug interaction network indicated that several common drugs could modulate BIRC5 expression. Furthermore, a positive correlation between BIRC5 andcell-division cycle protein 20 (CDC20) gene was confirmed. Conclusion: BIRC5 may be adopted as a promising predictive marker and potential therapeutic target in breast cancer. Further large-scale studies are needed to more precisely confirm the value of BIRC5 in treatment of breast cancer.
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spelling pubmed-70291522020-02-27 Identification of prognostic significance of BIRC5 in breast cancer using integrative bioinformatics analysis Dai, Jian-bo Zhu, Bei Lin, Wei-jia Gao, Hai-yan Dai, Hong Zheng, Lin Shi, Wei-hai Chen, Wei-xian Biosci Rep Cancer Aims: Baculoviral inhibitor of apoptosis repeat containing 5 (BIRC5) plays vital roles in carcinogenesis by influencing cell division and proliferation and by inhibiting apoptosis. However, the prognostic significance of BIRC5 remains unclear in breast cancer. Methods: BIRC5 expression and methylation status were evaluated using the Oncomine and The Cancer Genome Atlas (TCGA) databases. The relevance between BIRC5 and different clinicopathological features as well as survival information was analyzed using the bc-GenExMiner database and Kaplan–Meier Plotter. BIRC5–drug interaction network was obtained using the Comparative Toxicogenomics Database. Results: Based on the results from databases and own hospital data, BIRC5 was higher expressed in different breast cancer subtypes compared with the matched normal individuals. Hormone receptors were negatively correlated with BIRC5 expression, whereas the Scarff–Bloom–Richardson (SBR) grade, Nottingham Prognostic Index (NPI), human epidermal growth factor receptor-2 (HER-2) status, basal-like status, and triple-negative status were positively related to BIRC5 level in breast cancer samples with respect to normal tissues. High BIRC5 expression was responsible for shorter relapse-free survival, worse overall survival, reduced distant metastasis free survival, and increased risk of metastatic relapse event. BIRC5–drug interaction network indicated that several common drugs could modulate BIRC5 expression. Furthermore, a positive correlation between BIRC5 andcell-division cycle protein 20 (CDC20) gene was confirmed. Conclusion: BIRC5 may be adopted as a promising predictive marker and potential therapeutic target in breast cancer. Further large-scale studies are needed to more precisely confirm the value of BIRC5 in treatment of breast cancer. Portland Press Ltd. 2020-02-18 /pmc/articles/PMC7029152/ /pubmed/32043523 http://dx.doi.org/10.1042/BSR20193678 Text en © 2020 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY).
spellingShingle Cancer
Dai, Jian-bo
Zhu, Bei
Lin, Wei-jia
Gao, Hai-yan
Dai, Hong
Zheng, Lin
Shi, Wei-hai
Chen, Wei-xian
Identification of prognostic significance of BIRC5 in breast cancer using integrative bioinformatics analysis
title Identification of prognostic significance of BIRC5 in breast cancer using integrative bioinformatics analysis
title_full Identification of prognostic significance of BIRC5 in breast cancer using integrative bioinformatics analysis
title_fullStr Identification of prognostic significance of BIRC5 in breast cancer using integrative bioinformatics analysis
title_full_unstemmed Identification of prognostic significance of BIRC5 in breast cancer using integrative bioinformatics analysis
title_short Identification of prognostic significance of BIRC5 in breast cancer using integrative bioinformatics analysis
title_sort identification of prognostic significance of birc5 in breast cancer using integrative bioinformatics analysis
topic Cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029152/
https://www.ncbi.nlm.nih.gov/pubmed/32043523
http://dx.doi.org/10.1042/BSR20193678
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