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Biomarker dynamics and prognosis in breast cancer after neoadjuvant chemotherapy

Breast cancer is a biologically diverse disease with treatment modalities selected based on tumor stage and tumor biology. Distinct intrinsic subtypes and surrogate biomarker profiles play a major role for therapeutic decisions. Response rates to systemic and local treatments as well as the interact...

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Autores principales: Zarotti, Cristina, Papassotiropoulos, Bärbel, Elfgen, Constanze, Dedes, Konstantin, Vorburger, Denise, Pestalozzi, Bernhard, Trojan, Andreas, Varga, Zsuzsanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741830/
https://www.ncbi.nlm.nih.gov/pubmed/34997055
http://dx.doi.org/10.1038/s41598-021-04032-x
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author Zarotti, Cristina
Papassotiropoulos, Bärbel
Elfgen, Constanze
Dedes, Konstantin
Vorburger, Denise
Pestalozzi, Bernhard
Trojan, Andreas
Varga, Zsuzsanna
author_facet Zarotti, Cristina
Papassotiropoulos, Bärbel
Elfgen, Constanze
Dedes, Konstantin
Vorburger, Denise
Pestalozzi, Bernhard
Trojan, Andreas
Varga, Zsuzsanna
author_sort Zarotti, Cristina
collection PubMed
description Breast cancer is a biologically diverse disease with treatment modalities selected based on tumor stage and tumor biology. Distinct intrinsic subtypes and surrogate biomarker profiles play a major role for therapeutic decisions. Response rates to systemic and local treatments as well as the interaction with epidemiological risk factors have been validated in clinical trials and translational studies. This retrospective study addresses the question how biomarker profiles and treatment modalities in the neoadjuvant chemotherapy setting have changed during the past 15 years and what prognostic impact these changes implicate. 342 female breast cancer stage I-IV patients receiving neoadjuvant chemotherapy between 2003 and 2017 were analyzed. Overall survival (OS) was correlated with preoperative clinical stage, postoperative pathological stage, treatment modalities and tumor biology before and after chemotherapy. Two subgroups were separated using an arbitrary cut-off year at 2009/2010, due to 2010 when platinum containing regimens were first administered. Median follow-up was 54 months. 57 (17%) patients died; recurrences occurred in 103 of 342 (30%) patients. Nodal stage and intrinsic subtypes (pre- and postoperative) significantly correlated with OS (p < 0.001). Preoperative histological grading lacked prognostic power. When comparing the patient characteristics of the subgroups, we found significant difference in the following characteristics: cT, ypT, ypN, pCR and chemotherapy regimens (p < 0.001). There was no difference in OS when comparing the two subgroups. Pathological complete response (pCR) rates had a significant impact on OS and disease-free survival (DFS) in HER2+ and triple negative subtypes (p = 0.03). In multivariate analysis, high proliferation index (> 30%), clinical metastatic stage and pathological tumor stage had prognostic impact on OS (p < 0.001, p = 0.0001, p = 0.002). Clinico-pathological factors and distinct therapy regiments especially in triple negative and HER2+ subtypes have prognostic impact on pCR, OS and DFS after neoadjuvant chemotherapy.
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spelling pubmed-87418302022-01-10 Biomarker dynamics and prognosis in breast cancer after neoadjuvant chemotherapy Zarotti, Cristina Papassotiropoulos, Bärbel Elfgen, Constanze Dedes, Konstantin Vorburger, Denise Pestalozzi, Bernhard Trojan, Andreas Varga, Zsuzsanna Sci Rep Article Breast cancer is a biologically diverse disease with treatment modalities selected based on tumor stage and tumor biology. Distinct intrinsic subtypes and surrogate biomarker profiles play a major role for therapeutic decisions. Response rates to systemic and local treatments as well as the interaction with epidemiological risk factors have been validated in clinical trials and translational studies. This retrospective study addresses the question how biomarker profiles and treatment modalities in the neoadjuvant chemotherapy setting have changed during the past 15 years and what prognostic impact these changes implicate. 342 female breast cancer stage I-IV patients receiving neoadjuvant chemotherapy between 2003 and 2017 were analyzed. Overall survival (OS) was correlated with preoperative clinical stage, postoperative pathological stage, treatment modalities and tumor biology before and after chemotherapy. Two subgroups were separated using an arbitrary cut-off year at 2009/2010, due to 2010 when platinum containing regimens were first administered. Median follow-up was 54 months. 57 (17%) patients died; recurrences occurred in 103 of 342 (30%) patients. Nodal stage and intrinsic subtypes (pre- and postoperative) significantly correlated with OS (p < 0.001). Preoperative histological grading lacked prognostic power. When comparing the patient characteristics of the subgroups, we found significant difference in the following characteristics: cT, ypT, ypN, pCR and chemotherapy regimens (p < 0.001). There was no difference in OS when comparing the two subgroups. Pathological complete response (pCR) rates had a significant impact on OS and disease-free survival (DFS) in HER2+ and triple negative subtypes (p = 0.03). In multivariate analysis, high proliferation index (> 30%), clinical metastatic stage and pathological tumor stage had prognostic impact on OS (p < 0.001, p = 0.0001, p = 0.002). Clinico-pathological factors and distinct therapy regiments especially in triple negative and HER2+ subtypes have prognostic impact on pCR, OS and DFS after neoadjuvant chemotherapy. Nature Publishing Group UK 2022-01-07 /pmc/articles/PMC8741830/ /pubmed/34997055 http://dx.doi.org/10.1038/s41598-021-04032-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zarotti, Cristina
Papassotiropoulos, Bärbel
Elfgen, Constanze
Dedes, Konstantin
Vorburger, Denise
Pestalozzi, Bernhard
Trojan, Andreas
Varga, Zsuzsanna
Biomarker dynamics and prognosis in breast cancer after neoadjuvant chemotherapy
title Biomarker dynamics and prognosis in breast cancer after neoadjuvant chemotherapy
title_full Biomarker dynamics and prognosis in breast cancer after neoadjuvant chemotherapy
title_fullStr Biomarker dynamics and prognosis in breast cancer after neoadjuvant chemotherapy
title_full_unstemmed Biomarker dynamics and prognosis in breast cancer after neoadjuvant chemotherapy
title_short Biomarker dynamics and prognosis in breast cancer after neoadjuvant chemotherapy
title_sort biomarker dynamics and prognosis in breast cancer after neoadjuvant chemotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741830/
https://www.ncbi.nlm.nih.gov/pubmed/34997055
http://dx.doi.org/10.1038/s41598-021-04032-x
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