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Clinical implications of a novel prognostic factor AIFM3 in breast cancer patients

BACKGROUND: In a time of increasing concerns over personalized and precision treatment in breast cancer (BC), filtering prognostic factors attracts more attention. Apoptosis-Inducing Factor Mitochondrion-associated 3 (AIFM3) is widely expressed in various tissues and aberrantly expressed in several...

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Autores principales: Zheng, Ang, Zhang, Lin, Song, Xinyue, Wang, Yuying, Wei, Minjie, Jin, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518782/
https://www.ncbi.nlm.nih.gov/pubmed/31088422
http://dx.doi.org/10.1186/s12885-019-5659-4
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author Zheng, Ang
Zhang, Lin
Song, Xinyue
Wang, Yuying
Wei, Minjie
Jin, Feng
author_facet Zheng, Ang
Zhang, Lin
Song, Xinyue
Wang, Yuying
Wei, Minjie
Jin, Feng
author_sort Zheng, Ang
collection PubMed
description BACKGROUND: In a time of increasing concerns over personalized and precision treatment in breast cancer (BC), filtering prognostic factors attracts more attention. Apoptosis-Inducing Factor Mitochondrion-associated 3 (AIFM3) is widely expressed in various tissues and aberrantly expressed in several cancers. However, clinical implication of AIFM3 has not been reported in BC. The aim of the study is to investigate the crystal structure, clinical and prognostic implications of AIFM3 in BC. METHODS: AIFM3 expression in 151 BC samples were assessed by immunohistochemistry (IHC). The Cancer Genome Atlas (TCGA) and Kaplan-Meier survival analysis were used to demonstrate expression and survival of AIFM3 signature. Gene Set Enrichment Analysis (GSEA) was performed to investigate the mechanisms related to AIFM3 expression in BC. RESULTS: AIFM3 was significantly more expressed in breast cancer tissues than in normal tissues. AIFM3 expression had a significant association with tumor size, lymph node metastasis, TNM stage and molecular typing. Higher AIFM3 expression was related to a shorter overall survival (OS) and disease-free survival (DFS). Lymph node metastasis and TNM stage were independent factors of AIFM3 expression. The study presented the crystal structure of AIFM3 successfully and predicted several binding sites when AIFM3 bonded to PTPN12 by Molecular Operating Environment software (MOE). CONCLUSIONS: AIFM3 might be a potential biomarker for predicting prognosis in BC, adding to growing evidence that AIFM3 might interact with PTPN12. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5659-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-65187822019-05-21 Clinical implications of a novel prognostic factor AIFM3 in breast cancer patients Zheng, Ang Zhang, Lin Song, Xinyue Wang, Yuying Wei, Minjie Jin, Feng BMC Cancer Research Article BACKGROUND: In a time of increasing concerns over personalized and precision treatment in breast cancer (BC), filtering prognostic factors attracts more attention. Apoptosis-Inducing Factor Mitochondrion-associated 3 (AIFM3) is widely expressed in various tissues and aberrantly expressed in several cancers. However, clinical implication of AIFM3 has not been reported in BC. The aim of the study is to investigate the crystal structure, clinical and prognostic implications of AIFM3 in BC. METHODS: AIFM3 expression in 151 BC samples were assessed by immunohistochemistry (IHC). The Cancer Genome Atlas (TCGA) and Kaplan-Meier survival analysis were used to demonstrate expression and survival of AIFM3 signature. Gene Set Enrichment Analysis (GSEA) was performed to investigate the mechanisms related to AIFM3 expression in BC. RESULTS: AIFM3 was significantly more expressed in breast cancer tissues than in normal tissues. AIFM3 expression had a significant association with tumor size, lymph node metastasis, TNM stage and molecular typing. Higher AIFM3 expression was related to a shorter overall survival (OS) and disease-free survival (DFS). Lymph node metastasis and TNM stage were independent factors of AIFM3 expression. The study presented the crystal structure of AIFM3 successfully and predicted several binding sites when AIFM3 bonded to PTPN12 by Molecular Operating Environment software (MOE). CONCLUSIONS: AIFM3 might be a potential biomarker for predicting prognosis in BC, adding to growing evidence that AIFM3 might interact with PTPN12. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5659-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-14 /pmc/articles/PMC6518782/ /pubmed/31088422 http://dx.doi.org/10.1186/s12885-019-5659-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zheng, Ang
Zhang, Lin
Song, Xinyue
Wang, Yuying
Wei, Minjie
Jin, Feng
Clinical implications of a novel prognostic factor AIFM3 in breast cancer patients
title Clinical implications of a novel prognostic factor AIFM3 in breast cancer patients
title_full Clinical implications of a novel prognostic factor AIFM3 in breast cancer patients
title_fullStr Clinical implications of a novel prognostic factor AIFM3 in breast cancer patients
title_full_unstemmed Clinical implications of a novel prognostic factor AIFM3 in breast cancer patients
title_short Clinical implications of a novel prognostic factor AIFM3 in breast cancer patients
title_sort clinical implications of a novel prognostic factor aifm3 in breast cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518782/
https://www.ncbi.nlm.nih.gov/pubmed/31088422
http://dx.doi.org/10.1186/s12885-019-5659-4
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