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Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy

BACKGROUND: Triple-negative breast cancer (TNBC) is a special subtype of breast cancer that is characterized by poor prognosis, strong tumor invasion and a high pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC). The pCR rate is a prognostic factor for TNBC. We aimed to evaluate th...

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Autores principales: Wu, Kunpeng, Yang, Qiaozhu, Liu, Yi, Wu, Aibing, Yang, Zhixiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4011773/
https://www.ncbi.nlm.nih.gov/pubmed/24731479
http://dx.doi.org/10.1186/1477-7819-12-95
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author Wu, Kunpeng
Yang, Qiaozhu
Liu, Yi
Wu, Aibing
Yang, Zhixiong
author_facet Wu, Kunpeng
Yang, Qiaozhu
Liu, Yi
Wu, Aibing
Yang, Zhixiong
author_sort Wu, Kunpeng
collection PubMed
description BACKGROUND: Triple-negative breast cancer (TNBC) is a special subtype of breast cancer that is characterized by poor prognosis, strong tumor invasion and a high pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC). The pCR rate is a prognostic factor for TNBC. We aimed to evaluate the relationship between pCR and TNBC after NAC and originally tried to identify factors related to achieving pCR for TNBC using a meta-analysis. METHODS: We systematically searched the literature for pCR and breast cancer after NAC and carefully identified eligibility criteria. The association between pCR and breast cancer subtypes was estimated using Review Manager, while pCR rates for TNBC and non-TNBC were determined using Meta-Analyst. RESULTS: This analysis included a total of 9,460 cases from 27 studies. The summary odds ratio estimating the relationship between pCR and breast cancer subtypes (TNBC vs non-TNBC) was 3.02 (95% confidence interval (CI), 2.66 to 3.42). The TNBC pCR rate was 28.9% (95% CI, 27.0 to 30.8%) and the non-TNBC was 12.5% (95% CI, 11.7 to 13.4%). From subgroup analyses, we identified the factors associated with the highest pCR rates for TNBC. CONCLUSIONS: TNBC has a higher pCR rate than non-TNBC. In the NAC setting, these factors of platinum-containing, more than six cycles, four kinds of drugs, 16 weeks’ treatment duration and sequential chemotherapy may contribute to increasing the pCR rate.
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spelling pubmed-40117732014-05-07 Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy Wu, Kunpeng Yang, Qiaozhu Liu, Yi Wu, Aibing Yang, Zhixiong World J Surg Oncol Research BACKGROUND: Triple-negative breast cancer (TNBC) is a special subtype of breast cancer that is characterized by poor prognosis, strong tumor invasion and a high pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC). The pCR rate is a prognostic factor for TNBC. We aimed to evaluate the relationship between pCR and TNBC after NAC and originally tried to identify factors related to achieving pCR for TNBC using a meta-analysis. METHODS: We systematically searched the literature for pCR and breast cancer after NAC and carefully identified eligibility criteria. The association between pCR and breast cancer subtypes was estimated using Review Manager, while pCR rates for TNBC and non-TNBC were determined using Meta-Analyst. RESULTS: This analysis included a total of 9,460 cases from 27 studies. The summary odds ratio estimating the relationship between pCR and breast cancer subtypes (TNBC vs non-TNBC) was 3.02 (95% confidence interval (CI), 2.66 to 3.42). The TNBC pCR rate was 28.9% (95% CI, 27.0 to 30.8%) and the non-TNBC was 12.5% (95% CI, 11.7 to 13.4%). From subgroup analyses, we identified the factors associated with the highest pCR rates for TNBC. CONCLUSIONS: TNBC has a higher pCR rate than non-TNBC. In the NAC setting, these factors of platinum-containing, more than six cycles, four kinds of drugs, 16 weeks’ treatment duration and sequential chemotherapy may contribute to increasing the pCR rate. BioMed Central 2014-04-15 /pmc/articles/PMC4011773/ /pubmed/24731479 http://dx.doi.org/10.1186/1477-7819-12-95 Text en Copyright © 2014 Wu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Wu, Kunpeng
Yang, Qiaozhu
Liu, Yi
Wu, Aibing
Yang, Zhixiong
Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy
title Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy
title_full Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy
title_fullStr Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy
title_full_unstemmed Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy
title_short Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy
title_sort meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4011773/
https://www.ncbi.nlm.nih.gov/pubmed/24731479
http://dx.doi.org/10.1186/1477-7819-12-95
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