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Pre‐treatment systemic immune‐inflammation index is a useful prognostic indicator in patients with breast cancer undergoing neoadjuvant chemotherapy

The systemic immune‐inflammation index (SII = N × P/L) based on neutrophil (N), platelet (P) and lymphocyte (L) counts is used to predict the survival of patients with malignant tumours and can fully reflect the balance between host inflammatory and immune status. This study is conducted to explore...

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Autores principales: Chen, Li, Kong, Xiangyi, Wang, Zhongzhao, Wang, Xiangyu, Fang, Yi, Wang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077539/
https://www.ncbi.nlm.nih.gov/pubmed/31989747
http://dx.doi.org/10.1111/jcmm.14934
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author Chen, Li
Kong, Xiangyi
Wang, Zhongzhao
Wang, Xiangyu
Fang, Yi
Wang, Jing
author_facet Chen, Li
Kong, Xiangyi
Wang, Zhongzhao
Wang, Xiangyu
Fang, Yi
Wang, Jing
author_sort Chen, Li
collection PubMed
description The systemic immune‐inflammation index (SII = N × P/L) based on neutrophil (N), platelet (P) and lymphocyte (L) counts is used to predict the survival of patients with malignant tumours and can fully reflect the balance between host inflammatory and immune status. This study is conducted to explore the potential prognostic significance of SII in patients with breast cancer undergoing neoadjuvant chemotherapy (NACT). A total of 262 patients with breast cancer received NACT were enrolled in this study. According to the receiver operating characteristic curve, the optimal cut‐off value of SII was divided into two groups: low SII group (<602 × 10(9)/L) and high SII group (≥602 × 10(9)/L). The associations between breast cancer and clinicopathological variables by SII were determined by chi‐squared test or Fisher's exact test. The Kaplan‐Meier plots and log‐rank test were used to determine clinical outcomes of disease‐free survival (DFS) and overall survival (OS). The prognostic value of SII was analysed by univariate and multivariate Cox proportional hazards regression models. The toxicity of NACT was accessed by National Cancer Institute Common Toxicity Criteria (NCICTC). According to univariate and multivariate Cox regression survival analyses, the results showed that the value of SII had prognostic significance for DFS and OS. The patients with low SII value had longer DFS and OS than those with high SII value (31.11 vs 40.76 months, HR: 1.075, 95% CI: 0.718‐1.610, P = .006; 44.47 vs 53.68 months, HR: 1.051, 95% CI: 0.707‐1.564, P = .005, respectively). The incidence of DFS and OS in breast cancer patients with low SII value was higher than that in those patients with high SII value in 3‐, 5‐ and 10‐year rates. The common toxicities after NACT were haematological and gastrointestinal reaction, and there were no differences by SII for the assessment of side effects of neoadjuvant chemotherapy. Meanwhile, the results also proved that breast cancer patients with low SII value and high Miller and Payne grade (MPG) survived longer than those breast cancer with high SII value and low MPG grade. In patients without lymph vessel invasion, these breast cancer patients with low SII value had better prognosis and lower recurrence rates than those with high SII value. Pre‐treatment SII with the advantage of reproducible, convenient and non‐invasive was a useful prognostic indicator for breast cancer patients undergoing neoadjuvant chemotherapy and is a promising biomarker for breast cancer on treatment strategy decisions.
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spelling pubmed-70775392020-03-19 Pre‐treatment systemic immune‐inflammation index is a useful prognostic indicator in patients with breast cancer undergoing neoadjuvant chemotherapy Chen, Li Kong, Xiangyi Wang, Zhongzhao Wang, Xiangyu Fang, Yi Wang, Jing J Cell Mol Med Original Articles The systemic immune‐inflammation index (SII = N × P/L) based on neutrophil (N), platelet (P) and lymphocyte (L) counts is used to predict the survival of patients with malignant tumours and can fully reflect the balance between host inflammatory and immune status. This study is conducted to explore the potential prognostic significance of SII in patients with breast cancer undergoing neoadjuvant chemotherapy (NACT). A total of 262 patients with breast cancer received NACT were enrolled in this study. According to the receiver operating characteristic curve, the optimal cut‐off value of SII was divided into two groups: low SII group (<602 × 10(9)/L) and high SII group (≥602 × 10(9)/L). The associations between breast cancer and clinicopathological variables by SII were determined by chi‐squared test or Fisher's exact test. The Kaplan‐Meier plots and log‐rank test were used to determine clinical outcomes of disease‐free survival (DFS) and overall survival (OS). The prognostic value of SII was analysed by univariate and multivariate Cox proportional hazards regression models. The toxicity of NACT was accessed by National Cancer Institute Common Toxicity Criteria (NCICTC). According to univariate and multivariate Cox regression survival analyses, the results showed that the value of SII had prognostic significance for DFS and OS. The patients with low SII value had longer DFS and OS than those with high SII value (31.11 vs 40.76 months, HR: 1.075, 95% CI: 0.718‐1.610, P = .006; 44.47 vs 53.68 months, HR: 1.051, 95% CI: 0.707‐1.564, P = .005, respectively). The incidence of DFS and OS in breast cancer patients with low SII value was higher than that in those patients with high SII value in 3‐, 5‐ and 10‐year rates. The common toxicities after NACT were haematological and gastrointestinal reaction, and there were no differences by SII for the assessment of side effects of neoadjuvant chemotherapy. Meanwhile, the results also proved that breast cancer patients with low SII value and high Miller and Payne grade (MPG) survived longer than those breast cancer with high SII value and low MPG grade. In patients without lymph vessel invasion, these breast cancer patients with low SII value had better prognosis and lower recurrence rates than those with high SII value. Pre‐treatment SII with the advantage of reproducible, convenient and non‐invasive was a useful prognostic indicator for breast cancer patients undergoing neoadjuvant chemotherapy and is a promising biomarker for breast cancer on treatment strategy decisions. John Wiley and Sons Inc. 2020-01-27 2020-03 /pmc/articles/PMC7077539/ /pubmed/31989747 http://dx.doi.org/10.1111/jcmm.14934 Text en © 2020 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Chen, Li
Kong, Xiangyi
Wang, Zhongzhao
Wang, Xiangyu
Fang, Yi
Wang, Jing
Pre‐treatment systemic immune‐inflammation index is a useful prognostic indicator in patients with breast cancer undergoing neoadjuvant chemotherapy
title Pre‐treatment systemic immune‐inflammation index is a useful prognostic indicator in patients with breast cancer undergoing neoadjuvant chemotherapy
title_full Pre‐treatment systemic immune‐inflammation index is a useful prognostic indicator in patients with breast cancer undergoing neoadjuvant chemotherapy
title_fullStr Pre‐treatment systemic immune‐inflammation index is a useful prognostic indicator in patients with breast cancer undergoing neoadjuvant chemotherapy
title_full_unstemmed Pre‐treatment systemic immune‐inflammation index is a useful prognostic indicator in patients with breast cancer undergoing neoadjuvant chemotherapy
title_short Pre‐treatment systemic immune‐inflammation index is a useful prognostic indicator in patients with breast cancer undergoing neoadjuvant chemotherapy
title_sort pre‐treatment systemic immune‐inflammation index is a useful prognostic indicator in patients with breast cancer undergoing neoadjuvant chemotherapy
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077539/
https://www.ncbi.nlm.nih.gov/pubmed/31989747
http://dx.doi.org/10.1111/jcmm.14934
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