Cargando…

Systemic immune-inflammation index and ultrasonographic classification of breast imaging-reporting and data system predict outcomes of triple-negative breast cancer

INTRODUCTION: This research was conducted to explore the relationship between the systemic immune-inflammation index (SII) and breast imaging-reporting and data system (BI-RADS) classification using ultrasonography and the survival of patients with triple-negative breast cancer (TNBC) in a cohort of...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Ping, Yue, Wensheng, Li, Wenyan, Luo, Yuqun, Li, Zukun, Shao, Yi, He, Zhizhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6340637/
https://www.ncbi.nlm.nih.gov/pubmed/30697073
http://dx.doi.org/10.2147/CMAR.S185890
_version_ 1783388820765409280
author Wang, Ping
Yue, Wensheng
Li, Wenyan
Luo, Yuqun
Li, Zukun
Shao, Yi
He, Zhizhong
author_facet Wang, Ping
Yue, Wensheng
Li, Wenyan
Luo, Yuqun
Li, Zukun
Shao, Yi
He, Zhizhong
author_sort Wang, Ping
collection PubMed
description INTRODUCTION: This research was conducted to explore the relationship between the systemic immune-inflammation index (SII) and breast imaging-reporting and data system (BI-RADS) classification using ultrasonography and the survival of patients with triple-negative breast cancer (TNBC) in a cohort of Chinese. METHODS: A total of 215 TNBC patients treated at our hospital between November 2008 and March 2016 were enrolled in this study. We used the log-rank test and Kaplan–Meier curves to assess the overall survival (OS) and disease-free survival (DFS) differences between groups. The prognostic role of SII and other clinicopathological characteristics in TNBC patients were identified using the Cox regression model. RESULTS: Patients with low and high SII had median OS of 60.9 and 40.3 months, respectively, (HR=3.78, 95% CI: 2.16–4.15, P<0.001); while the median DFS was 22.4 months and 14.4 months for TNBC patients with low and high SII, respectively (HR =3.16, 95% CI: 1.82–4.02, P<0.001). For patients with grade 5 ultrasonographic BI-RADS classification, the median DFS and OS were 41.2 and 16.5 months, respectively, whereas, it was 57.7 and 21.3 months, respectively, for those with BI-RADS grades 3–4 (P<0.01). According to multivariable analyses, increased SII was a risk factor that independently predicted poor OS (HR =2.96, 95% CI: 2.18–3.98, P<0.001) and DFS (HR = 2.85, 95% CI: 1.62–3.81, P=0.005). In addition, tumor stage, BI-RADS, and histological grade also independently predicted poor OS (P=0.002, <0.001, 0.004). CONCLUSION: Pretreatment SII and BI-RADS 5 were independent indicators for prognosis in TNBC patients. It is imperative to conduct prospective studies to evaluate the potential role of SII in patient selection, treatment guidance, and design of clinical trials.
format Online
Article
Text
id pubmed-6340637
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Dove Medical Press
record_format MEDLINE/PubMed
spelling pubmed-63406372019-01-29 Systemic immune-inflammation index and ultrasonographic classification of breast imaging-reporting and data system predict outcomes of triple-negative breast cancer Wang, Ping Yue, Wensheng Li, Wenyan Luo, Yuqun Li, Zukun Shao, Yi He, Zhizhong Cancer Manag Res Original Research INTRODUCTION: This research was conducted to explore the relationship between the systemic immune-inflammation index (SII) and breast imaging-reporting and data system (BI-RADS) classification using ultrasonography and the survival of patients with triple-negative breast cancer (TNBC) in a cohort of Chinese. METHODS: A total of 215 TNBC patients treated at our hospital between November 2008 and March 2016 were enrolled in this study. We used the log-rank test and Kaplan–Meier curves to assess the overall survival (OS) and disease-free survival (DFS) differences between groups. The prognostic role of SII and other clinicopathological characteristics in TNBC patients were identified using the Cox regression model. RESULTS: Patients with low and high SII had median OS of 60.9 and 40.3 months, respectively, (HR=3.78, 95% CI: 2.16–4.15, P<0.001); while the median DFS was 22.4 months and 14.4 months for TNBC patients with low and high SII, respectively (HR =3.16, 95% CI: 1.82–4.02, P<0.001). For patients with grade 5 ultrasonographic BI-RADS classification, the median DFS and OS were 41.2 and 16.5 months, respectively, whereas, it was 57.7 and 21.3 months, respectively, for those with BI-RADS grades 3–4 (P<0.01). According to multivariable analyses, increased SII was a risk factor that independently predicted poor OS (HR =2.96, 95% CI: 2.18–3.98, P<0.001) and DFS (HR = 2.85, 95% CI: 1.62–3.81, P=0.005). In addition, tumor stage, BI-RADS, and histological grade also independently predicted poor OS (P=0.002, <0.001, 0.004). CONCLUSION: Pretreatment SII and BI-RADS 5 were independent indicators for prognosis in TNBC patients. It is imperative to conduct prospective studies to evaluate the potential role of SII in patient selection, treatment guidance, and design of clinical trials. Dove Medical Press 2019-01-17 /pmc/articles/PMC6340637/ /pubmed/30697073 http://dx.doi.org/10.2147/CMAR.S185890 Text en © 2019 Wang et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Wang, Ping
Yue, Wensheng
Li, Wenyan
Luo, Yuqun
Li, Zukun
Shao, Yi
He, Zhizhong
Systemic immune-inflammation index and ultrasonographic classification of breast imaging-reporting and data system predict outcomes of triple-negative breast cancer
title Systemic immune-inflammation index and ultrasonographic classification of breast imaging-reporting and data system predict outcomes of triple-negative breast cancer
title_full Systemic immune-inflammation index and ultrasonographic classification of breast imaging-reporting and data system predict outcomes of triple-negative breast cancer
title_fullStr Systemic immune-inflammation index and ultrasonographic classification of breast imaging-reporting and data system predict outcomes of triple-negative breast cancer
title_full_unstemmed Systemic immune-inflammation index and ultrasonographic classification of breast imaging-reporting and data system predict outcomes of triple-negative breast cancer
title_short Systemic immune-inflammation index and ultrasonographic classification of breast imaging-reporting and data system predict outcomes of triple-negative breast cancer
title_sort systemic immune-inflammation index and ultrasonographic classification of breast imaging-reporting and data system predict outcomes of triple-negative breast cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6340637/
https://www.ncbi.nlm.nih.gov/pubmed/30697073
http://dx.doi.org/10.2147/CMAR.S185890
work_keys_str_mv AT wangping systemicimmuneinflammationindexandultrasonographicclassificationofbreastimagingreportinganddatasystempredictoutcomesoftriplenegativebreastcancer
AT yuewensheng systemicimmuneinflammationindexandultrasonographicclassificationofbreastimagingreportinganddatasystempredictoutcomesoftriplenegativebreastcancer
AT liwenyan systemicimmuneinflammationindexandultrasonographicclassificationofbreastimagingreportinganddatasystempredictoutcomesoftriplenegativebreastcancer
AT luoyuqun systemicimmuneinflammationindexandultrasonographicclassificationofbreastimagingreportinganddatasystempredictoutcomesoftriplenegativebreastcancer
AT lizukun systemicimmuneinflammationindexandultrasonographicclassificationofbreastimagingreportinganddatasystempredictoutcomesoftriplenegativebreastcancer
AT shaoyi systemicimmuneinflammationindexandultrasonographicclassificationofbreastimagingreportinganddatasystempredictoutcomesoftriplenegativebreastcancer
AT hezhizhong systemicimmuneinflammationindexandultrasonographicclassificationofbreastimagingreportinganddatasystempredictoutcomesoftriplenegativebreastcancer