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A hierarchical approach to combine histological grade and immunohistochemical factors to identify high-risk luminal breast cancers

BACKGROUND: The luminal subtype accounts for ~70% of newly diagnosed breast cancer patients. Although it has a better prognosis, approximately 30% of them develop a late relapse. Identifying those patients is of interest to improve treatment decisions. METHODS: A retrospective observational, single-...

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Autores principales: da Luz, Felipe Andrés Cordero, da Costa Marinho, Eduarda, Nascimento, Camila Piqui, de Andrade Marques, Lara, Delfino, Patrícia Ferreira Ribeiro, Antonioli, Rafael Mathias, de Araújo, Rogério Agenor, Silva, Marcelo José Barbosa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cancer Intelligence 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300407/
https://www.ncbi.nlm.nih.gov/pubmed/35919235
http://dx.doi.org/10.3332/ecancer.2022.1382
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author da Luz, Felipe Andrés Cordero
da Costa Marinho, Eduarda
Nascimento, Camila Piqui
de Andrade Marques, Lara
Delfino, Patrícia Ferreira Ribeiro
Antonioli, Rafael Mathias
de Araújo, Rogério Agenor
Silva, Marcelo José Barbosa
author_facet da Luz, Felipe Andrés Cordero
da Costa Marinho, Eduarda
Nascimento, Camila Piqui
de Andrade Marques, Lara
Delfino, Patrícia Ferreira Ribeiro
Antonioli, Rafael Mathias
de Araújo, Rogério Agenor
Silva, Marcelo José Barbosa
author_sort da Luz, Felipe Andrés Cordero
collection PubMed
description BACKGROUND: The luminal subtype accounts for ~70% of newly diagnosed breast cancer patients. Although it has a better prognosis, approximately 30% of them develop a late relapse. Identifying those patients is of interest to improve treatment decisions. METHODS: A retrospective observational, single-centre study based on data from medical records of 572 non-metastatic (I–III) invasive ductal breast carcinoma patients, 448 with luminal tumours and 124 with triple-negative tumours. Kaplan–Meier, Cox regression and time-dependent Cox regression were carried out to obtain the prognosis value of risk factors. RESULTS: During a median observation of 5.5 years, 105 distant metastasis events and 105 all-cause deaths were observed. In addition to known clinicopathological factors (i.e., age, tumour size and lymph node metastasis), the high semi-quantitative expression of both hormone receptors was associated with distant metastasis-free survival (DMFS) (adjusted hazard ratio (HaR): 0.524 (0.316–0.867), p = 0.012) and overall survival (OS) (adjusted HaR: 0.486 (0.286–0.827), p = 0.008). The stratified analysis made it possible to identify risk modification factors. Subsequent stratification by histological grade, Ki-67 and semi-quantitative PR expression or, mainly, the composite semi-quantitative expression of hormone receptors (cHR) enabled the identification of luminal breast cancer patients of adjuvant schema at higher risk for metastasis and death. However, initial analyses including patients of neoadjuvant therapy pointed to a path of subsequent stratification by cHR and histological grade, also enabling grouping of luminal breast cancer patients with similar prognosis for DMFS (cHR ≤ 4+ G2 or G3 versus triple-negative, adjusted HaR: 0.703 (0.415–1.189), p = 0.189) and OS (cHR ≤4+ G2 or G3 versus triple-negative, adjusted HaR: 0.662 (0.403–1.088), p = 0.104). CONCLUSION: The semi-quantitative expression of both cHR, Ki-67 proliferation index and histological grade can identify luminal breast cancer patients at greater risk of developing metastasis and death when combined in a hierarchical fashion, and could be useful for a better prognosis stratification in services from low- and middle-income countries.
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spelling pubmed-93004072022-08-01 A hierarchical approach to combine histological grade and immunohistochemical factors to identify high-risk luminal breast cancers da Luz, Felipe Andrés Cordero da Costa Marinho, Eduarda Nascimento, Camila Piqui de Andrade Marques, Lara Delfino, Patrícia Ferreira Ribeiro Antonioli, Rafael Mathias de Araújo, Rogério Agenor Silva, Marcelo José Barbosa Ecancermedicalscience Research BACKGROUND: The luminal subtype accounts for ~70% of newly diagnosed breast cancer patients. Although it has a better prognosis, approximately 30% of them develop a late relapse. Identifying those patients is of interest to improve treatment decisions. METHODS: A retrospective observational, single-centre study based on data from medical records of 572 non-metastatic (I–III) invasive ductal breast carcinoma patients, 448 with luminal tumours and 124 with triple-negative tumours. Kaplan–Meier, Cox regression and time-dependent Cox regression were carried out to obtain the prognosis value of risk factors. RESULTS: During a median observation of 5.5 years, 105 distant metastasis events and 105 all-cause deaths were observed. In addition to known clinicopathological factors (i.e., age, tumour size and lymph node metastasis), the high semi-quantitative expression of both hormone receptors was associated with distant metastasis-free survival (DMFS) (adjusted hazard ratio (HaR): 0.524 (0.316–0.867), p = 0.012) and overall survival (OS) (adjusted HaR: 0.486 (0.286–0.827), p = 0.008). The stratified analysis made it possible to identify risk modification factors. Subsequent stratification by histological grade, Ki-67 and semi-quantitative PR expression or, mainly, the composite semi-quantitative expression of hormone receptors (cHR) enabled the identification of luminal breast cancer patients of adjuvant schema at higher risk for metastasis and death. However, initial analyses including patients of neoadjuvant therapy pointed to a path of subsequent stratification by cHR and histological grade, also enabling grouping of luminal breast cancer patients with similar prognosis for DMFS (cHR ≤ 4+ G2 or G3 versus triple-negative, adjusted HaR: 0.703 (0.415–1.189), p = 0.189) and OS (cHR ≤4+ G2 or G3 versus triple-negative, adjusted HaR: 0.662 (0.403–1.088), p = 0.104). CONCLUSION: The semi-quantitative expression of both cHR, Ki-67 proliferation index and histological grade can identify luminal breast cancer patients at greater risk of developing metastasis and death when combined in a hierarchical fashion, and could be useful for a better prognosis stratification in services from low- and middle-income countries. Cancer Intelligence 2022-05-04 /pmc/articles/PMC9300407/ /pubmed/35919235 http://dx.doi.org/10.3332/ecancer.2022.1382 Text en © the authors; licensee ecancermedicalscience. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
da Luz, Felipe Andrés Cordero
da Costa Marinho, Eduarda
Nascimento, Camila Piqui
de Andrade Marques, Lara
Delfino, Patrícia Ferreira Ribeiro
Antonioli, Rafael Mathias
de Araújo, Rogério Agenor
Silva, Marcelo José Barbosa
A hierarchical approach to combine histological grade and immunohistochemical factors to identify high-risk luminal breast cancers
title A hierarchical approach to combine histological grade and immunohistochemical factors to identify high-risk luminal breast cancers
title_full A hierarchical approach to combine histological grade and immunohistochemical factors to identify high-risk luminal breast cancers
title_fullStr A hierarchical approach to combine histological grade and immunohistochemical factors to identify high-risk luminal breast cancers
title_full_unstemmed A hierarchical approach to combine histological grade and immunohistochemical factors to identify high-risk luminal breast cancers
title_short A hierarchical approach to combine histological grade and immunohistochemical factors to identify high-risk luminal breast cancers
title_sort hierarchical approach to combine histological grade and immunohistochemical factors to identify high-risk luminal breast cancers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300407/
https://www.ncbi.nlm.nih.gov/pubmed/35919235
http://dx.doi.org/10.3332/ecancer.2022.1382
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