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Characteristics of recurrence, predictors for relapse and prognosis of rapid relapse triple-negative breast cancer

BACKGROUND: Triple-negative breast cancer (TNBC) patients who recur at different times are associated with distinct biological characteristics and prognoses. Research on rapid-relapse TNBC (RR-TNBC) is sparse. In this study, we aimed to describe the characteristics of recurrence, predictors for rela...

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Autores principales: Cai, Shuang-Long, Liu, Jing-Jing, Liu, Ying-Xue, Yu, Shao-Hong, Liu, Xu, Lin, Xiu-Quan, Chen, Hong-Dan, Fang, Xuan, Ma, Tao, Li, Ya-Qing, Li, Ying, Li, Chun-Yan, Zhang, Sheng, Chen, Xiao-Geng, Guo, Xiao-Jing, Zhang, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978400/
https://www.ncbi.nlm.nih.gov/pubmed/36874102
http://dx.doi.org/10.3389/fonc.2023.1119611
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author Cai, Shuang-Long
Liu, Jing-Jing
Liu, Ying-Xue
Yu, Shao-Hong
Liu, Xu
Lin, Xiu-Quan
Chen, Hong-Dan
Fang, Xuan
Ma, Tao
Li, Ya-Qing
Li, Ying
Li, Chun-Yan
Zhang, Sheng
Chen, Xiao-Geng
Guo, Xiao-Jing
Zhang, Jin
author_facet Cai, Shuang-Long
Liu, Jing-Jing
Liu, Ying-Xue
Yu, Shao-Hong
Liu, Xu
Lin, Xiu-Quan
Chen, Hong-Dan
Fang, Xuan
Ma, Tao
Li, Ya-Qing
Li, Ying
Li, Chun-Yan
Zhang, Sheng
Chen, Xiao-Geng
Guo, Xiao-Jing
Zhang, Jin
author_sort Cai, Shuang-Long
collection PubMed
description BACKGROUND: Triple-negative breast cancer (TNBC) patients who recur at different times are associated with distinct biological characteristics and prognoses. Research on rapid-relapse TNBC (RR-TNBC) is sparse. In this study, we aimed to describe the characteristics of recurrence, predictors for relapse, and prognosis in rrTNBC patients. METHODS: Clinicopathological data of 1584 TNBC patients from 2014 to 2016 were retrospectively reviewed. The characteristics of recurrence were compared between patients with RR-TNBC and slow relapse TNBC(SR-TNBC). All TNBC patients were randomly divided into a training set and a validation set to find predictors for rapid relapse. The multivariate logistic regression model was used to analyze the data of the training set. C-index and brier score analysis for predicting rapid relapse in the validation set was used to evaluate the discrimination and accuracy of the multivariate logistic model. Prognostic measurements were analyzed in all TNBC patients. RESULTS: Compared with SR-TNBC patients, RR-TNBC patients tended to have a higher T staging, N staging, TNM staging, and low expression of stromal tumor-infiltrating lymphocytes (sTILs). The recurring characteristics were prone to appear as distant metastasis at the first relapse. The first metastatic site was apt to visceral metastasis and less likely to have chest wall or regional lymph node metastasis. Six predictors (postmenopausal status, metaplastic breast cancer,≥pT3 staging,≥pN1 staging, sTIL intermediate/high expression, and Her2 [1+]) were used to construct the predictive model of rapid relapse in TNBC patients. The C-index and brier score in the validation set was 0.861 and 0.095, respectively. This suggested that the predictive model had high discrimination and accuracy. The prognostic data for all TNBC patients showed that RR-TNBC patients had the worst prognosis, followed by SR-TNBC patients. CONCLUSION: RR-TNBC patients were associated with unique biological characteristics and worse outcomes compared to non-RR-TNBC patients.
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spelling pubmed-99784002023-03-03 Characteristics of recurrence, predictors for relapse and prognosis of rapid relapse triple-negative breast cancer Cai, Shuang-Long Liu, Jing-Jing Liu, Ying-Xue Yu, Shao-Hong Liu, Xu Lin, Xiu-Quan Chen, Hong-Dan Fang, Xuan Ma, Tao Li, Ya-Qing Li, Ying Li, Chun-Yan Zhang, Sheng Chen, Xiao-Geng Guo, Xiao-Jing Zhang, Jin Front Oncol Oncology BACKGROUND: Triple-negative breast cancer (TNBC) patients who recur at different times are associated with distinct biological characteristics and prognoses. Research on rapid-relapse TNBC (RR-TNBC) is sparse. In this study, we aimed to describe the characteristics of recurrence, predictors for relapse, and prognosis in rrTNBC patients. METHODS: Clinicopathological data of 1584 TNBC patients from 2014 to 2016 were retrospectively reviewed. The characteristics of recurrence were compared between patients with RR-TNBC and slow relapse TNBC(SR-TNBC). All TNBC patients were randomly divided into a training set and a validation set to find predictors for rapid relapse. The multivariate logistic regression model was used to analyze the data of the training set. C-index and brier score analysis for predicting rapid relapse in the validation set was used to evaluate the discrimination and accuracy of the multivariate logistic model. Prognostic measurements were analyzed in all TNBC patients. RESULTS: Compared with SR-TNBC patients, RR-TNBC patients tended to have a higher T staging, N staging, TNM staging, and low expression of stromal tumor-infiltrating lymphocytes (sTILs). The recurring characteristics were prone to appear as distant metastasis at the first relapse. The first metastatic site was apt to visceral metastasis and less likely to have chest wall or regional lymph node metastasis. Six predictors (postmenopausal status, metaplastic breast cancer,≥pT3 staging,≥pN1 staging, sTIL intermediate/high expression, and Her2 [1+]) were used to construct the predictive model of rapid relapse in TNBC patients. The C-index and brier score in the validation set was 0.861 and 0.095, respectively. This suggested that the predictive model had high discrimination and accuracy. The prognostic data for all TNBC patients showed that RR-TNBC patients had the worst prognosis, followed by SR-TNBC patients. CONCLUSION: RR-TNBC patients were associated with unique biological characteristics and worse outcomes compared to non-RR-TNBC patients. Frontiers Media S.A. 2023-02-16 /pmc/articles/PMC9978400/ /pubmed/36874102 http://dx.doi.org/10.3389/fonc.2023.1119611 Text en Copyright © 2023 Cai, Liu, Liu, Yu, Liu, Lin, Chen, Fang, Ma, Li, Li, Li, Zhang, Chen, Guo and Zhang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Cai, Shuang-Long
Liu, Jing-Jing
Liu, Ying-Xue
Yu, Shao-Hong
Liu, Xu
Lin, Xiu-Quan
Chen, Hong-Dan
Fang, Xuan
Ma, Tao
Li, Ya-Qing
Li, Ying
Li, Chun-Yan
Zhang, Sheng
Chen, Xiao-Geng
Guo, Xiao-Jing
Zhang, Jin
Characteristics of recurrence, predictors for relapse and prognosis of rapid relapse triple-negative breast cancer
title Characteristics of recurrence, predictors for relapse and prognosis of rapid relapse triple-negative breast cancer
title_full Characteristics of recurrence, predictors for relapse and prognosis of rapid relapse triple-negative breast cancer
title_fullStr Characteristics of recurrence, predictors for relapse and prognosis of rapid relapse triple-negative breast cancer
title_full_unstemmed Characteristics of recurrence, predictors for relapse and prognosis of rapid relapse triple-negative breast cancer
title_short Characteristics of recurrence, predictors for relapse and prognosis of rapid relapse triple-negative breast cancer
title_sort characteristics of recurrence, predictors for relapse and prognosis of rapid relapse triple-negative breast cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978400/
https://www.ncbi.nlm.nih.gov/pubmed/36874102
http://dx.doi.org/10.3389/fonc.2023.1119611
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