Antibiotics modulate neoadjuvant therapy efficiency in patients with breast cancer: a pilot analysis

Abstract Mounting evidence suggests that microbiota dysbiosis caused by antibiotic administration is a risk factor for cancer, but few research reports focus on the relationships between antibiotics and chemotherapy efficiency. We evaluated the influence of antibiotic administration on neoadjuvant t...

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Autores principales:	Xi Zhang, Long Yu, Jiajie Shi, Sainan Li, Shiwei Yang, Wei Gao, Shan Yang, Meng Cheng, Haoqi Wang, Zhanjun Guo, Cuizhi Geng
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/df1ca7b9f0874707acaba8522009ef18
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spelling	oai:doaj.org-article:df1ca7b9f0874707acaba8522009ef182021-12-02T18:34:13ZAntibiotics modulate neoadjuvant therapy efficiency in patients with breast cancer: a pilot analysis10.1038/s41598-021-93428-w2045-2322https://doaj.org/article/df1ca7b9f0874707acaba8522009ef182021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93428-whttps://doaj.org/toc/2045-2322Abstract Mounting evidence suggests that microbiota dysbiosis caused by antibiotic administration is a risk factor for cancer, but few research reports focus on the relationships between antibiotics and chemotherapy efficiency. We evaluated the influence of antibiotic administration on neoadjuvant therapy efficacy in patients with breast cancer (BC) in the present study. BC patients were stratified into two groups: antibiotic-treated and control based on antibiotic administration within 30 days after neoadjuvant therapy initiation. Disease-free survival (DFS) and overall survival (OS) were assessed using the Kaplan–Meier method, and the Cox proportional hazards model was used for multivariate analyses. The pathologic complete response rate of the control group was significantly higher than that of the antibiotic-treated group (29.09% vs. 10.20%, p = 0.017). Further univariate analysis with Kaplan–Meier calculations demonstrated that antibiotic administration was strongly linked with both reduced DFS (p = 0.04) at significant statistical levels and OS (p = 0.088) at borderline statistical levels. Antibiotic administration was identified as a significant independent prognostic factor for DFS [hazard ratio (HR) 3.026, 95%, confidence interval (CI) 1.314–6.969, p = 0.009] and OS (HR 2.836, 95% CI 1.016–7.858, p = 0.047) by Cox proportional hazards model analysis. Antibiotics that initiated reduced efficiency of chemotherapy were more noticeable in the HER2-positive subgroup for both DFS (HR 5.51, 95% CI 1.77–17.2, p = 0.003) and OS (HR 7.0395% CI 1.94–25.53, p = 0.003), as well as in the T3-4 subgroup for both DFS (HR 20.36, 95% CI 2.41–172.07, p = 0.006) and OS (HR 13.45, 95% CI 1.39–130.08, p = 0.025) by stratified analysis. Antibiotic administration might be associated with reduced efficacy of neoadjuvant therapy and poor prognosis in BC patients. As a preliminary study, our research made preparations for further understanding and large-scale analyses of the impact of antibiotics on the efficacy of neoadjuvant therapy.Xi ZhangLong YuJiajie ShiSainan LiShiwei YangWei GaoShan YangMeng ChengHaoqi WangZhanjun GuoCuizhi GengNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xi Zhang Long Yu Jiajie Shi Sainan Li Shiwei Yang Wei Gao Shan Yang Meng Cheng Haoqi Wang Zhanjun Guo Cuizhi Geng Antibiotics modulate neoadjuvant therapy efficiency in patients with breast cancer: a pilot analysis
description	Abstract Mounting evidence suggests that microbiota dysbiosis caused by antibiotic administration is a risk factor for cancer, but few research reports focus on the relationships between antibiotics and chemotherapy efficiency. We evaluated the influence of antibiotic administration on neoadjuvant therapy efficacy in patients with breast cancer (BC) in the present study. BC patients were stratified into two groups: antibiotic-treated and control based on antibiotic administration within 30 days after neoadjuvant therapy initiation. Disease-free survival (DFS) and overall survival (OS) were assessed using the Kaplan–Meier method, and the Cox proportional hazards model was used for multivariate analyses. The pathologic complete response rate of the control group was significantly higher than that of the antibiotic-treated group (29.09% vs. 10.20%, p = 0.017). Further univariate analysis with Kaplan–Meier calculations demonstrated that antibiotic administration was strongly linked with both reduced DFS (p = 0.04) at significant statistical levels and OS (p = 0.088) at borderline statistical levels. Antibiotic administration was identified as a significant independent prognostic factor for DFS [hazard ratio (HR) 3.026, 95%, confidence interval (CI) 1.314–6.969, p = 0.009] and OS (HR 2.836, 95% CI 1.016–7.858, p = 0.047) by Cox proportional hazards model analysis. Antibiotics that initiated reduced efficiency of chemotherapy were more noticeable in the HER2-positive subgroup for both DFS (HR 5.51, 95% CI 1.77–17.2, p = 0.003) and OS (HR 7.0395% CI 1.94–25.53, p = 0.003), as well as in the T3-4 subgroup for both DFS (HR 20.36, 95% CI 2.41–172.07, p = 0.006) and OS (HR 13.45, 95% CI 1.39–130.08, p = 0.025) by stratified analysis. Antibiotic administration might be associated with reduced efficacy of neoadjuvant therapy and poor prognosis in BC patients. As a preliminary study, our research made preparations for further understanding and large-scale analyses of the impact of antibiotics on the efficacy of neoadjuvant therapy.
format	article
author	Xi Zhang Long Yu Jiajie Shi Sainan Li Shiwei Yang Wei Gao Shan Yang Meng Cheng Haoqi Wang Zhanjun Guo Cuizhi Geng
author_facet	Xi Zhang Long Yu Jiajie Shi Sainan Li Shiwei Yang Wei Gao Shan Yang Meng Cheng Haoqi Wang Zhanjun Guo Cuizhi Geng
author_sort	Xi Zhang
title	Antibiotics modulate neoadjuvant therapy efficiency in patients with breast cancer: a pilot analysis
title_short	Antibiotics modulate neoadjuvant therapy efficiency in patients with breast cancer: a pilot analysis
title_full	Antibiotics modulate neoadjuvant therapy efficiency in patients with breast cancer: a pilot analysis
title_fullStr	Antibiotics modulate neoadjuvant therapy efficiency in patients with breast cancer: a pilot analysis
title_full_unstemmed	Antibiotics modulate neoadjuvant therapy efficiency in patients with breast cancer: a pilot analysis
title_sort	antibiotics modulate neoadjuvant therapy efficiency in patients with breast cancer: a pilot analysis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/df1ca7b9f0874707acaba8522009ef18
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Antibiotics modulate neoadjuvant therapy efficiency in patients with breast cancer: a pilot analysis

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