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Impact of residual disease biomarkers on the prognosis of HER2‐positive breast cancer following neoadjuvant therapy
BACKGROUND: The changes in prognostic factors and clinicopathological characteristics of residual disease following neoadjuvant therapy (NAT) for breast cancer are important references for postoperative adjuvant therapy. The analyses of the relationship between the clinicopathological characteristic...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242303/ https://www.ncbi.nlm.nih.gov/pubmed/36951436 http://dx.doi.org/10.1002/cam4.5839 |
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author | Ma, Youzhao Zhu, Mingda Lv, Minhao Yuan, Peng Chen, Xiuchun Liu, Zhenzhen |
author_facet | Ma, Youzhao Zhu, Mingda Lv, Minhao Yuan, Peng Chen, Xiuchun Liu, Zhenzhen |
author_sort | Ma, Youzhao |
collection | PubMed |
description | BACKGROUND: The changes in prognostic factors and clinicopathological characteristics of residual disease following neoadjuvant therapy (NAT) for breast cancer are important references for postoperative adjuvant therapy. The analyses of the relationship between the clinicopathological characteristics of residual diseases and the prognosis were not comprehensive in most previous studies. This study aimed to determine how prognostic factors changed following NAT and the impact of clinicopathological characteristics of residual disease on the prognosis of human epidermal growth factor receptor 2 (HER2)‐positive breast cancer. METHODS: The study comprised 350 consecutive patients with HER2‐positive breast cancer who had residual disease after surgery following NAT. The independent risk factors affecting the prognosis of HER2‐positive breast cancer were analyzed using univariate and multivariate Cox regression analyses. Chi‐square test and binary logistic regression were used to analyze the influencing factors of HER2 loss following NAT. RESULTS: The expression of prognostic factors changed significantly following NAT. A total of 44 patients (12.6%) had HER2 loss. HER2 status (immunohistochemistry (IHC) 3+ vs. IHC 2+/FISH+, p < 0.001) at baseline was associated with HER2 loss. In this investigation, the HER2 loss did not affect the prognosis. In univariate analysis, the decrease in Ki‐67 (p < 0.001) after NAT was associated with improved prognosis, but this influence was lost in the Cox proportional hazards model. The ypN stage (p < 0.001), postoperative ER status (p = 0.020), Miller–Payne grade (p = 0.007), and targeted therapy (p = 0.003) were all independent prognostic factors. CONCLUSIONS: ER, PR, HER2, and Ki‐67 changed significantly after NAT, but no impact of these changes on DFS was observed in this study. Postoperative N stage, postoperative ER status, MP grade, and targeted therapy were independent prognostic factors in patients with HER2‐positive breast cancer after NAT. |
format | Online Article Text |
id | pubmed-10242303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102423032023-06-07 Impact of residual disease biomarkers on the prognosis of HER2‐positive breast cancer following neoadjuvant therapy Ma, Youzhao Zhu, Mingda Lv, Minhao Yuan, Peng Chen, Xiuchun Liu, Zhenzhen Cancer Med RESEARCH ARTICLES BACKGROUND: The changes in prognostic factors and clinicopathological characteristics of residual disease following neoadjuvant therapy (NAT) for breast cancer are important references for postoperative adjuvant therapy. The analyses of the relationship between the clinicopathological characteristics of residual diseases and the prognosis were not comprehensive in most previous studies. This study aimed to determine how prognostic factors changed following NAT and the impact of clinicopathological characteristics of residual disease on the prognosis of human epidermal growth factor receptor 2 (HER2)‐positive breast cancer. METHODS: The study comprised 350 consecutive patients with HER2‐positive breast cancer who had residual disease after surgery following NAT. The independent risk factors affecting the prognosis of HER2‐positive breast cancer were analyzed using univariate and multivariate Cox regression analyses. Chi‐square test and binary logistic regression were used to analyze the influencing factors of HER2 loss following NAT. RESULTS: The expression of prognostic factors changed significantly following NAT. A total of 44 patients (12.6%) had HER2 loss. HER2 status (immunohistochemistry (IHC) 3+ vs. IHC 2+/FISH+, p < 0.001) at baseline was associated with HER2 loss. In this investigation, the HER2 loss did not affect the prognosis. In univariate analysis, the decrease in Ki‐67 (p < 0.001) after NAT was associated with improved prognosis, but this influence was lost in the Cox proportional hazards model. The ypN stage (p < 0.001), postoperative ER status (p = 0.020), Miller–Payne grade (p = 0.007), and targeted therapy (p = 0.003) were all independent prognostic factors. CONCLUSIONS: ER, PR, HER2, and Ki‐67 changed significantly after NAT, but no impact of these changes on DFS was observed in this study. Postoperative N stage, postoperative ER status, MP grade, and targeted therapy were independent prognostic factors in patients with HER2‐positive breast cancer after NAT. John Wiley and Sons Inc. 2023-03-23 /pmc/articles/PMC10242303/ /pubmed/36951436 http://dx.doi.org/10.1002/cam4.5839 Text en © 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | RESEARCH ARTICLES Ma, Youzhao Zhu, Mingda Lv, Minhao Yuan, Peng Chen, Xiuchun Liu, Zhenzhen Impact of residual disease biomarkers on the prognosis of HER2‐positive breast cancer following neoadjuvant therapy |
title | Impact of residual disease biomarkers on the prognosis of HER2‐positive breast cancer following neoadjuvant therapy |
title_full | Impact of residual disease biomarkers on the prognosis of HER2‐positive breast cancer following neoadjuvant therapy |
title_fullStr | Impact of residual disease biomarkers on the prognosis of HER2‐positive breast cancer following neoadjuvant therapy |
title_full_unstemmed | Impact of residual disease biomarkers on the prognosis of HER2‐positive breast cancer following neoadjuvant therapy |
title_short | Impact of residual disease biomarkers on the prognosis of HER2‐positive breast cancer following neoadjuvant therapy |
title_sort | impact of residual disease biomarkers on the prognosis of her2‐positive breast cancer following neoadjuvant therapy |
topic | RESEARCH ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242303/ https://www.ncbi.nlm.nih.gov/pubmed/36951436 http://dx.doi.org/10.1002/cam4.5839 |
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