Cargando…

Risk-Adapted Postmastectomy Radiotherapy Decision Based on Prognostic Nomogram for pT1-2N1M0 Breast Cancer: A Multicenter Study

PURPOSE: The aim of this study was to develop a widely accepted prognostic nomogram and establish a risk-adapted PMRT strategy based on locoregional recurrence for pT1-2N1M0 breast cancer. METHODS AND MATERIALS: A total of 3,033 patients with pT1-2N1M0 breast cancer treated at 6 participating instit...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Ming, Yue, Jinbo, Wan, Xiangbo, Hua, Bin, Yang, Qiuan, Yang, Pei, Zhang, Zijian, Pei, Qian, Han, Weidong, Xu, Yaping, Xia, Xuefeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761288/
https://www.ncbi.nlm.nih.gov/pubmed/33363018
http://dx.doi.org/10.3389/fonc.2020.588859
_version_ 1783627533430816768
author Li, Ming
Yue, Jinbo
Wan, Xiangbo
Hua, Bin
Yang, Qiuan
Yang, Pei
Zhang, Zijian
Pei, Qian
Han, Weidong
Xu, Yaping
Xia, Xuefeng
author_facet Li, Ming
Yue, Jinbo
Wan, Xiangbo
Hua, Bin
Yang, Qiuan
Yang, Pei
Zhang, Zijian
Pei, Qian
Han, Weidong
Xu, Yaping
Xia, Xuefeng
author_sort Li, Ming
collection PubMed
description PURPOSE: The aim of this study was to develop a widely accepted prognostic nomogram and establish a risk-adapted PMRT strategy based on locoregional recurrence for pT1-2N1M0 breast cancer. METHODS AND MATERIALS: A total of 3,033 patients with pT1-2N1M0 breast cancer treated at 6 participating institutions between 2000 and 2016 were retrospectively reviewed. A nomogram was developed to predicted locoregional recurrence-free survival (LRFS). A propensity score-matched (PSM) analyses was performed in risk-adapted model. RESULTS: With the median follow-up of 65.0 months, the 5-year overall survival (OS), disease free survival (DFS) and LRFS were 93.0, 84.8, and 93.6%, respectively. There was no significant difference between patients who received PMRT or not for the entire group. A nomogram was developed and validated to estimate the probability of 5-year LRFS based on five independent factors including age, primary tumor site, positive lymph nodes number, pathological T stage, and molecular subtype that were selected by a multivariate analysis of patients who did not receive PMRT in the primary cohort. According to the total nomogram risk scores, the entire patients were classified into low- (40.0%), moderate- (42.4%), and high-risk group (17.6%). The 5-year outcomes were significantly different among these three groups (P<0.001). In low-risk group, patients who received PMRT or not both achieved a favorable OS, DFS, and LRFS. In moderate-risk group, no differences in OS, DFS, and LRFS were observed between PMRT and no PMRT patients. In high-risk group, compared with no PMRT, PMRT resulted in significantly different OS (86.8 vs 83.9%, P = 0.050), DFS (77.2 vs 70.9%, P = 0.049), and LRFS (90.8 vs. 81.6%, P = 0.003). After PSM adjustment, there were no significant differences in OS, DFS, and LRFS in low-risk and moderate-risk groups. However, in the high-risk group, PMRT still resulted in significantly better OS, DFS and improved LRFS. CONCLUSIONS: The proposed nomogram provides an individualized risk estimate of LRFS in patients with pT1-2N1M0 breast cancer. Risk-adapted PMRT for high-risk patients is a viable effective strategy.
format Online
Article
Text
id pubmed-7761288
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-77612882020-12-26 Risk-Adapted Postmastectomy Radiotherapy Decision Based on Prognostic Nomogram for pT1-2N1M0 Breast Cancer: A Multicenter Study Li, Ming Yue, Jinbo Wan, Xiangbo Hua, Bin Yang, Qiuan Yang, Pei Zhang, Zijian Pei, Qian Han, Weidong Xu, Yaping Xia, Xuefeng Front Oncol Oncology PURPOSE: The aim of this study was to develop a widely accepted prognostic nomogram and establish a risk-adapted PMRT strategy based on locoregional recurrence for pT1-2N1M0 breast cancer. METHODS AND MATERIALS: A total of 3,033 patients with pT1-2N1M0 breast cancer treated at 6 participating institutions between 2000 and 2016 were retrospectively reviewed. A nomogram was developed to predicted locoregional recurrence-free survival (LRFS). A propensity score-matched (PSM) analyses was performed in risk-adapted model. RESULTS: With the median follow-up of 65.0 months, the 5-year overall survival (OS), disease free survival (DFS) and LRFS were 93.0, 84.8, and 93.6%, respectively. There was no significant difference between patients who received PMRT or not for the entire group. A nomogram was developed and validated to estimate the probability of 5-year LRFS based on five independent factors including age, primary tumor site, positive lymph nodes number, pathological T stage, and molecular subtype that were selected by a multivariate analysis of patients who did not receive PMRT in the primary cohort. According to the total nomogram risk scores, the entire patients were classified into low- (40.0%), moderate- (42.4%), and high-risk group (17.6%). The 5-year outcomes were significantly different among these three groups (P<0.001). In low-risk group, patients who received PMRT or not both achieved a favorable OS, DFS, and LRFS. In moderate-risk group, no differences in OS, DFS, and LRFS were observed between PMRT and no PMRT patients. In high-risk group, compared with no PMRT, PMRT resulted in significantly different OS (86.8 vs 83.9%, P = 0.050), DFS (77.2 vs 70.9%, P = 0.049), and LRFS (90.8 vs. 81.6%, P = 0.003). After PSM adjustment, there were no significant differences in OS, DFS, and LRFS in low-risk and moderate-risk groups. However, in the high-risk group, PMRT still resulted in significantly better OS, DFS and improved LRFS. CONCLUSIONS: The proposed nomogram provides an individualized risk estimate of LRFS in patients with pT1-2N1M0 breast cancer. Risk-adapted PMRT for high-risk patients is a viable effective strategy. Frontiers Media S.A. 2020-12-11 /pmc/articles/PMC7761288/ /pubmed/33363018 http://dx.doi.org/10.3389/fonc.2020.588859 Text en Copyright © 2020 Li, Yue, Wan, Hua, Yang, Yang, Zhang, Pei, Han, Xu and Xia http://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
Li, Ming
Yue, Jinbo
Wan, Xiangbo
Hua, Bin
Yang, Qiuan
Yang, Pei
Zhang, Zijian
Pei, Qian
Han, Weidong
Xu, Yaping
Xia, Xuefeng
Risk-Adapted Postmastectomy Radiotherapy Decision Based on Prognostic Nomogram for pT1-2N1M0 Breast Cancer: A Multicenter Study
title Risk-Adapted Postmastectomy Radiotherapy Decision Based on Prognostic Nomogram for pT1-2N1M0 Breast Cancer: A Multicenter Study
title_full Risk-Adapted Postmastectomy Radiotherapy Decision Based on Prognostic Nomogram for pT1-2N1M0 Breast Cancer: A Multicenter Study
title_fullStr Risk-Adapted Postmastectomy Radiotherapy Decision Based on Prognostic Nomogram for pT1-2N1M0 Breast Cancer: A Multicenter Study
title_full_unstemmed Risk-Adapted Postmastectomy Radiotherapy Decision Based on Prognostic Nomogram for pT1-2N1M0 Breast Cancer: A Multicenter Study
title_short Risk-Adapted Postmastectomy Radiotherapy Decision Based on Prognostic Nomogram for pT1-2N1M0 Breast Cancer: A Multicenter Study
title_sort risk-adapted postmastectomy radiotherapy decision based on prognostic nomogram for pt1-2n1m0 breast cancer: a multicenter study
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761288/
https://www.ncbi.nlm.nih.gov/pubmed/33363018
http://dx.doi.org/10.3389/fonc.2020.588859
work_keys_str_mv AT liming riskadaptedpostmastectomyradiotherapydecisionbasedonprognosticnomogramforpt12n1m0breastcanceramulticenterstudy
AT yuejinbo riskadaptedpostmastectomyradiotherapydecisionbasedonprognosticnomogramforpt12n1m0breastcanceramulticenterstudy
AT wanxiangbo riskadaptedpostmastectomyradiotherapydecisionbasedonprognosticnomogramforpt12n1m0breastcanceramulticenterstudy
AT huabin riskadaptedpostmastectomyradiotherapydecisionbasedonprognosticnomogramforpt12n1m0breastcanceramulticenterstudy
AT yangqiuan riskadaptedpostmastectomyradiotherapydecisionbasedonprognosticnomogramforpt12n1m0breastcanceramulticenterstudy
AT yangpei riskadaptedpostmastectomyradiotherapydecisionbasedonprognosticnomogramforpt12n1m0breastcanceramulticenterstudy
AT zhangzijian riskadaptedpostmastectomyradiotherapydecisionbasedonprognosticnomogramforpt12n1m0breastcanceramulticenterstudy
AT peiqian riskadaptedpostmastectomyradiotherapydecisionbasedonprognosticnomogramforpt12n1m0breastcanceramulticenterstudy
AT hanweidong riskadaptedpostmastectomyradiotherapydecisionbasedonprognosticnomogramforpt12n1m0breastcanceramulticenterstudy
AT xuyaping riskadaptedpostmastectomyradiotherapydecisionbasedonprognosticnomogramforpt12n1m0breastcanceramulticenterstudy
AT xiaxuefeng riskadaptedpostmastectomyradiotherapydecisionbasedonprognosticnomogramforpt12n1m0breastcanceramulticenterstudy