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Prognostic and Predictive Value of the American Joint Committee on Cancer Pathological Prognostic Staging System in Nodal Micrometastatic Breast Cancer
INTRODUCTION: To investigate the prognostic and predictive effect of the American Joint Committee on Cancer (AJCC) 8(th) edition pathological prognostic staging system in patients with T1-2N1micM0 breast cancer who underwent mastectomy. METHODS: Data from T1-2N1micM0 breast cancer patients who under...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775531/ https://www.ncbi.nlm.nih.gov/pubmed/33392071 http://dx.doi.org/10.3389/fonc.2020.570175 |
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author | Shi, Jian Lian, Chen-Lu Chi, Feng Zhou, Ping Lei, Jian Hua, Li Wang, Jun He, Zhen-Yu Wu, San-Gang |
author_facet | Shi, Jian Lian, Chen-Lu Chi, Feng Zhou, Ping Lei, Jian Hua, Li Wang, Jun He, Zhen-Yu Wu, San-Gang |
author_sort | Shi, Jian |
collection | PubMed |
description | INTRODUCTION: To investigate the prognostic and predictive effect of the American Joint Committee on Cancer (AJCC) 8(th) edition pathological prognostic staging system in patients with T1-2N1micM0 breast cancer who underwent mastectomy. METHODS: Data from T1-2N1micM0 breast cancer patients who underwent mastectomy from 2010–2014 were obtained from the Surveillance, Epidemiology, and End Results program. The chi-square test, binomial logistics regression, receiver-operating characteristics curve, competing-risk regression model, Cox proportional hazards regression model, and proportional hazard assumption were used for statistical analyses. RESULTS: We identified 4,729 patients, including 1,062 patients were received postmastectomy radiotherapy (PMRT). Stage change occurred in 88.2% of the patients, of which 84.4% were downstaged and 3.7% were upstaged. Patients with higher pathological prognostic stages were independently predicted to receive PMRT. The 5-year breast cancer-specific survival (BCSS) was 97.5, 93.7, 90.1, 86.0, and 73.5% in disease stages IA, IB, IIA, IIB, and IIIA, respectively, according to the 8(th) edition criteria (P < 0.001). The AJCC 8(th) edition demonstrated moderate discriminative ability, and it had a significantly better ability to predict the BCSS than the AJCC 7(th) edition criteria (P < 0.001). The multivariate prognostic analysis showed that the new pathological prognostic staging was an independent prognostic factor affecting the BCSS. The BCSS worsened with an increase in the stage. The PMRT did not affect the BCSS regardless of the pathological prognostic stage. Similar trends were found using the competing-risks regression model. CONCLUSIONS: The 8(th) AJCC breast cancer pathological prognostic staging system downstaged 84.4% of patients with T1-2N1micM0 disease and the survival outcome prediction with this staging system was more accurate than the AJCC 7(th) edition system. Our study does not support using the prognostic stage as a guideline to escalate of PMRT. |
format | Online Article Text |
id | pubmed-7775531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77755312021-01-02 Prognostic and Predictive Value of the American Joint Committee on Cancer Pathological Prognostic Staging System in Nodal Micrometastatic Breast Cancer Shi, Jian Lian, Chen-Lu Chi, Feng Zhou, Ping Lei, Jian Hua, Li Wang, Jun He, Zhen-Yu Wu, San-Gang Front Oncol Oncology INTRODUCTION: To investigate the prognostic and predictive effect of the American Joint Committee on Cancer (AJCC) 8(th) edition pathological prognostic staging system in patients with T1-2N1micM0 breast cancer who underwent mastectomy. METHODS: Data from T1-2N1micM0 breast cancer patients who underwent mastectomy from 2010–2014 were obtained from the Surveillance, Epidemiology, and End Results program. The chi-square test, binomial logistics regression, receiver-operating characteristics curve, competing-risk regression model, Cox proportional hazards regression model, and proportional hazard assumption were used for statistical analyses. RESULTS: We identified 4,729 patients, including 1,062 patients were received postmastectomy radiotherapy (PMRT). Stage change occurred in 88.2% of the patients, of which 84.4% were downstaged and 3.7% were upstaged. Patients with higher pathological prognostic stages were independently predicted to receive PMRT. The 5-year breast cancer-specific survival (BCSS) was 97.5, 93.7, 90.1, 86.0, and 73.5% in disease stages IA, IB, IIA, IIB, and IIIA, respectively, according to the 8(th) edition criteria (P < 0.001). The AJCC 8(th) edition demonstrated moderate discriminative ability, and it had a significantly better ability to predict the BCSS than the AJCC 7(th) edition criteria (P < 0.001). The multivariate prognostic analysis showed that the new pathological prognostic staging was an independent prognostic factor affecting the BCSS. The BCSS worsened with an increase in the stage. The PMRT did not affect the BCSS regardless of the pathological prognostic stage. Similar trends were found using the competing-risks regression model. CONCLUSIONS: The 8(th) AJCC breast cancer pathological prognostic staging system downstaged 84.4% of patients with T1-2N1micM0 disease and the survival outcome prediction with this staging system was more accurate than the AJCC 7(th) edition system. Our study does not support using the prognostic stage as a guideline to escalate of PMRT. Frontiers Media S.A. 2020-12-18 /pmc/articles/PMC7775531/ /pubmed/33392071 http://dx.doi.org/10.3389/fonc.2020.570175 Text en Copyright © 2020 Shi, Lian, Chi, Zhou, Lei, Hua, Wang, He and Wu 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 Shi, Jian Lian, Chen-Lu Chi, Feng Zhou, Ping Lei, Jian Hua, Li Wang, Jun He, Zhen-Yu Wu, San-Gang Prognostic and Predictive Value of the American Joint Committee on Cancer Pathological Prognostic Staging System in Nodal Micrometastatic Breast Cancer |
title | Prognostic and Predictive Value of the American Joint Committee on Cancer Pathological Prognostic Staging System in Nodal Micrometastatic Breast Cancer |
title_full | Prognostic and Predictive Value of the American Joint Committee on Cancer Pathological Prognostic Staging System in Nodal Micrometastatic Breast Cancer |
title_fullStr | Prognostic and Predictive Value of the American Joint Committee on Cancer Pathological Prognostic Staging System in Nodal Micrometastatic Breast Cancer |
title_full_unstemmed | Prognostic and Predictive Value of the American Joint Committee on Cancer Pathological Prognostic Staging System in Nodal Micrometastatic Breast Cancer |
title_short | Prognostic and Predictive Value of the American Joint Committee on Cancer Pathological Prognostic Staging System in Nodal Micrometastatic Breast Cancer |
title_sort | prognostic and predictive value of the american joint committee on cancer pathological prognostic staging system in nodal micrometastatic breast cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775531/ https://www.ncbi.nlm.nih.gov/pubmed/33392071 http://dx.doi.org/10.3389/fonc.2020.570175 |
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