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Obesity and Breast Cancer: Interaction or Interference with the Response to Therapy?
Background: Aromatase inhibitors (AI) are widely used for treating hormone-sensitive breast cancer (BC). Obesity, however, due to aromatase-mediated androgen conversion into estradiol in the peripheral adipose tissue, might impair AI inhibitory capacity. We aimed at identifying a cut-off of body mas...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857850/ https://www.ncbi.nlm.nih.gov/pubmed/36661743 http://dx.doi.org/10.3390/curroncol30010094 |
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author | Riondino, Silvia Formica, Vincenzo Valenzi, Elena Morelli, Cristina Flaminio, Valeria Portarena, Ilaria Torino, Francesco Roselli, Mario |
author_facet | Riondino, Silvia Formica, Vincenzo Valenzi, Elena Morelli, Cristina Flaminio, Valeria Portarena, Ilaria Torino, Francesco Roselli, Mario |
author_sort | Riondino, Silvia |
collection | PubMed |
description | Background: Aromatase inhibitors (AI) are widely used for treating hormone-sensitive breast cancer (BC). Obesity, however, due to aromatase-mediated androgen conversion into estradiol in the peripheral adipose tissue, might impair AI inhibitory capacity. We aimed at identifying a cut-off of body mass index (BMI) with significant prognostic impact, in a cohort of stage I-II BC patients on systemic adjuvant therapy with AI. Methods: we retrospectively evaluated routinely collected baseline parameters. The optimal BMI cut-off affecting disease-free survival (DFS) in AI-treated BC patients was identified through maximally selected rank statistics; non-linear association between BMI and DFS in the AI cohort was assessed by hazard-ratio-smoothed curve analysis using BMI as continuous variable. The impact of the BMI cut-off on survival outcomes was estimated through Kaplan–Meier plots, with log-rank test and hazard ratio estimation comparing patient subgroups. Results: A total of 319 BC patients under adjuvant endocrine therapy and/or adjuvant chemotherapy were included. Curve-fitting analysis showed that for a BMI cut-off >29 in AI-treated BC patients (n = 172), DFS was increasingly deteriorating and that the impact of BMI on 2-year DFS identified a cut-off specific only for the cohort of postmenopausal BC patients under adjuvant therapy with AI. Conclusion: in radically resected hormone-sensitive BC patients undergoing neoadjuvant or adjuvant chemotherapy and treated with AI, obesity represents a risk factor for recurrence, with a significantly reduced 2-year DFS. |
format | Online Article Text |
id | pubmed-9857850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98578502023-01-21 Obesity and Breast Cancer: Interaction or Interference with the Response to Therapy? Riondino, Silvia Formica, Vincenzo Valenzi, Elena Morelli, Cristina Flaminio, Valeria Portarena, Ilaria Torino, Francesco Roselli, Mario Curr Oncol Article Background: Aromatase inhibitors (AI) are widely used for treating hormone-sensitive breast cancer (BC). Obesity, however, due to aromatase-mediated androgen conversion into estradiol in the peripheral adipose tissue, might impair AI inhibitory capacity. We aimed at identifying a cut-off of body mass index (BMI) with significant prognostic impact, in a cohort of stage I-II BC patients on systemic adjuvant therapy with AI. Methods: we retrospectively evaluated routinely collected baseline parameters. The optimal BMI cut-off affecting disease-free survival (DFS) in AI-treated BC patients was identified through maximally selected rank statistics; non-linear association between BMI and DFS in the AI cohort was assessed by hazard-ratio-smoothed curve analysis using BMI as continuous variable. The impact of the BMI cut-off on survival outcomes was estimated through Kaplan–Meier plots, with log-rank test and hazard ratio estimation comparing patient subgroups. Results: A total of 319 BC patients under adjuvant endocrine therapy and/or adjuvant chemotherapy were included. Curve-fitting analysis showed that for a BMI cut-off >29 in AI-treated BC patients (n = 172), DFS was increasingly deteriorating and that the impact of BMI on 2-year DFS identified a cut-off specific only for the cohort of postmenopausal BC patients under adjuvant therapy with AI. Conclusion: in radically resected hormone-sensitive BC patients undergoing neoadjuvant or adjuvant chemotherapy and treated with AI, obesity represents a risk factor for recurrence, with a significantly reduced 2-year DFS. MDPI 2023-01-16 /pmc/articles/PMC9857850/ /pubmed/36661743 http://dx.doi.org/10.3390/curroncol30010094 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Riondino, Silvia Formica, Vincenzo Valenzi, Elena Morelli, Cristina Flaminio, Valeria Portarena, Ilaria Torino, Francesco Roselli, Mario Obesity and Breast Cancer: Interaction or Interference with the Response to Therapy? |
title | Obesity and Breast Cancer: Interaction or Interference with the Response to Therapy? |
title_full | Obesity and Breast Cancer: Interaction or Interference with the Response to Therapy? |
title_fullStr | Obesity and Breast Cancer: Interaction or Interference with the Response to Therapy? |
title_full_unstemmed | Obesity and Breast Cancer: Interaction or Interference with the Response to Therapy? |
title_short | Obesity and Breast Cancer: Interaction or Interference with the Response to Therapy? |
title_sort | obesity and breast cancer: interaction or interference with the response to therapy? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857850/ https://www.ncbi.nlm.nih.gov/pubmed/36661743 http://dx.doi.org/10.3390/curroncol30010094 |
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