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FABP7 is a potential biomarker to predict response to neoadjuvant chemotherapy for breast cancer

BACKGROUND: Early prediction of response to neoadjuvant chemotherapy (NAC) is critical in choosing appropriate chemotherapeutic regimen for patients with locally advanced breast cancer. Herein, we sought to identify potential biomarkers to predict the response to neoadjuvant chemotherapy for breast...

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Autores principales: Xie, Qin, Xiao, Ying-sheng, Jia, Shi-cheng, Zheng, Jie-xuan, Du, Zhen-chao, Chen, Yi-chun, Chen, Mu-tong, Liang, Yuan-ke, Lin, Hao-yu, Zeng, De
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7684949/
https://www.ncbi.nlm.nih.gov/pubmed/33292226
http://dx.doi.org/10.1186/s12935-020-01656-3
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author Xie, Qin
Xiao, Ying-sheng
Jia, Shi-cheng
Zheng, Jie-xuan
Du, Zhen-chao
Chen, Yi-chun
Chen, Mu-tong
Liang, Yuan-ke
Lin, Hao-yu
Zeng, De
author_facet Xie, Qin
Xiao, Ying-sheng
Jia, Shi-cheng
Zheng, Jie-xuan
Du, Zhen-chao
Chen, Yi-chun
Chen, Mu-tong
Liang, Yuan-ke
Lin, Hao-yu
Zeng, De
author_sort Xie, Qin
collection PubMed
description BACKGROUND: Early prediction of response to neoadjuvant chemotherapy (NAC) is critical in choosing appropriate chemotherapeutic regimen for patients with locally advanced breast cancer. Herein, we sought to identify potential biomarkers to predict the response to neoadjuvant chemotherapy for breast cancer patients. METHODS: Three genomic profiles acquired by microarray analysis from subjects with or without residual tumors after NAC downloaded from the GEO database were used to screen the differentially expressed genes (DEGs). An array of public databases, including ONCOMINE, cBioportal, Breast Cancer Gene Expression Miner v4.0, and the Kaplan Meir-plotter, etc., were used to evaluate the potential functions, related signaling pathway, as well as prognostic values of FABP7 in breast cancer. Anti-cancer drug sensitivity assay, real-time PCR, flow cytometry and western-blotting assays were used to investigate the function of FABP7 in breast cancer cells and examine the relevant mechanism. RESULTS: Two differentially expressed genes, including FABP7 and ESR1, were identified to be potential indicators of response to anthracycline and taxanes for breast cancer. FABP7 was associated with better chemotherapeutic response, while ESR1 was associated with poorer chemotherapeutic effectiveness. Generally, the expression of FABP7 was significantly lower in breast cancer than normal tissue samples. FABP7 mainly high expressed in ER-negative breast tumor and might regulate cell cycle to enhance chemosensitivity. Moreover, elevated FABP7 expression increased the percentage of cells at both S and G2/M phase in MDA-MB-231-ADR cells, and decreased the percentage of cells at G0/G1 phase, as compared to control group. Western-blotting results showed that elevated FABP7 expression could increase Skp2 expression, while decrease Cdh1 and p27kip1 expression in MDA-MB-231-ADR cells. In addition, FABP7 was correlated to longer recurrence-free survival (RFS) in BC patients with ER-negative subtype of BC treated with chemotherapy. CONCLUSION: FABP7 is a potential favorable biomarker and predicts better response to NAC in breast cancer patients. Future study on the predictive value and detail molecular mechanisms of FABP7 in contribution to chemosensitivity in breast cancer is warranted.
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spelling pubmed-76849492020-11-25 FABP7 is a potential biomarker to predict response to neoadjuvant chemotherapy for breast cancer Xie, Qin Xiao, Ying-sheng Jia, Shi-cheng Zheng, Jie-xuan Du, Zhen-chao Chen, Yi-chun Chen, Mu-tong Liang, Yuan-ke Lin, Hao-yu Zeng, De Cancer Cell Int Primary Research BACKGROUND: Early prediction of response to neoadjuvant chemotherapy (NAC) is critical in choosing appropriate chemotherapeutic regimen for patients with locally advanced breast cancer. Herein, we sought to identify potential biomarkers to predict the response to neoadjuvant chemotherapy for breast cancer patients. METHODS: Three genomic profiles acquired by microarray analysis from subjects with or without residual tumors after NAC downloaded from the GEO database were used to screen the differentially expressed genes (DEGs). An array of public databases, including ONCOMINE, cBioportal, Breast Cancer Gene Expression Miner v4.0, and the Kaplan Meir-plotter, etc., were used to evaluate the potential functions, related signaling pathway, as well as prognostic values of FABP7 in breast cancer. Anti-cancer drug sensitivity assay, real-time PCR, flow cytometry and western-blotting assays were used to investigate the function of FABP7 in breast cancer cells and examine the relevant mechanism. RESULTS: Two differentially expressed genes, including FABP7 and ESR1, were identified to be potential indicators of response to anthracycline and taxanes for breast cancer. FABP7 was associated with better chemotherapeutic response, while ESR1 was associated with poorer chemotherapeutic effectiveness. Generally, the expression of FABP7 was significantly lower in breast cancer than normal tissue samples. FABP7 mainly high expressed in ER-negative breast tumor and might regulate cell cycle to enhance chemosensitivity. Moreover, elevated FABP7 expression increased the percentage of cells at both S and G2/M phase in MDA-MB-231-ADR cells, and decreased the percentage of cells at G0/G1 phase, as compared to control group. Western-blotting results showed that elevated FABP7 expression could increase Skp2 expression, while decrease Cdh1 and p27kip1 expression in MDA-MB-231-ADR cells. In addition, FABP7 was correlated to longer recurrence-free survival (RFS) in BC patients with ER-negative subtype of BC treated with chemotherapy. CONCLUSION: FABP7 is a potential favorable biomarker and predicts better response to NAC in breast cancer patients. Future study on the predictive value and detail molecular mechanisms of FABP7 in contribution to chemosensitivity in breast cancer is warranted. BioMed Central 2020-11-23 /pmc/articles/PMC7684949/ /pubmed/33292226 http://dx.doi.org/10.1186/s12935-020-01656-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Primary Research
Xie, Qin
Xiao, Ying-sheng
Jia, Shi-cheng
Zheng, Jie-xuan
Du, Zhen-chao
Chen, Yi-chun
Chen, Mu-tong
Liang, Yuan-ke
Lin, Hao-yu
Zeng, De
FABP7 is a potential biomarker to predict response to neoadjuvant chemotherapy for breast cancer
title FABP7 is a potential biomarker to predict response to neoadjuvant chemotherapy for breast cancer
title_full FABP7 is a potential biomarker to predict response to neoadjuvant chemotherapy for breast cancer
title_fullStr FABP7 is a potential biomarker to predict response to neoadjuvant chemotherapy for breast cancer
title_full_unstemmed FABP7 is a potential biomarker to predict response to neoadjuvant chemotherapy for breast cancer
title_short FABP7 is a potential biomarker to predict response to neoadjuvant chemotherapy for breast cancer
title_sort fabp7 is a potential biomarker to predict response to neoadjuvant chemotherapy for breast cancer
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7684949/
https://www.ncbi.nlm.nih.gov/pubmed/33292226
http://dx.doi.org/10.1186/s12935-020-01656-3
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