Tumor apelin and obesity are associated with reduced neoadjuvant chemotherapy response in a cohort of breast cancer patients.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
10 05 2021
Historique:
received: 16 12 2020
accepted: 26 04 2021
entrez: 11 5 2021
pubmed: 12 5 2021
medline: 26 10 2021
Statut: epublish

Résumé

Obesity is a known factor increasing the risk of developing breast cancer and reducing disease free survival. In addition to these well-documented effects, recent studies have shown that obesity is also affecting response to chemotherapy. Among the multiple dysregulations associated with obesity, increased level of the apelin adipokine has been recently shown to be directly involved in the association between obesity and increased breast cancer progression. In this study, we analyzed in a retrospective cohort of 62 breast cancer patients the impact of obesity and tumoral apelin expression on response to neoadjuvant chemotherapy. In the multivariate logistic regression, obesity and high tumoral apelin expression were associated with a reduced response to NAC in our cohort. However, obesity and high tumoral apelin expression were not correlated, suggesting that those two parameters could be independently associated with reduced NAC response. These findings should be confirmed in independent cohorts.

Identifiants

pubmed: 33972642
doi: 10.1038/s41598-021-89385-z
pii: 10.1038/s41598-021-89385-z
pmc: PMC8110990
doi:

Substances chimiques

APLN protein, human 0
Apelin 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

9922

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Auteurs

Florian Gourgue (F)

Biomedical Magnetic Resonance Research Group, UCLouvain, Louvain Drug Research Institute, Université catholique de Louvain, Brussels, Belgium.
Metabolism and Nutrition Research Group, Louvain Drug Research Institute, WELBIO (Walloon Excellence in Life Sciences and BIOtechnology), UCLouvain, Université catholique de Louvain, Brussels, Belgium.

Françoise Derouane (F)

Department of Medical Oncology, Institut Roi Albert II, Cliniques universitaires Saint-Luc and Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium.

Cedric van Marcke (C)

Department of Medical Oncology, Institut Roi Albert II, Cliniques universitaires Saint-Luc and Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium.

Elodie Villar (E)

Breast Clinic, Institut Roi Albert II, Cliniques Universitaires Saint-Luc, Brussels, Belgium.

Helene Dano (H)

Department of Pathology, Cliniques Universitaires St Luc, Brussels, Belgium.

Lieven Desmet (L)

Statistical Methodology and Computing Service, LIDAM, Université Catholique de Louvain, Brussels, Belgium.

Caroline Bouzin (C)

Imaging Platform 2IP, Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Université catholique de Louvain, Brussels, Belgium.

Francois P Duhoux (FP)

Department of Medical Oncology, Institut Roi Albert II, Cliniques universitaires Saint-Luc and Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium. francois.duhoux@uclouvain.be.

Patrice D Cani (PD)

Metabolism and Nutrition Research Group, Louvain Drug Research Institute, WELBIO (Walloon Excellence in Life Sciences and BIOtechnology), UCLouvain, Université catholique de Louvain, Brussels, Belgium. patrice.cani@uclouvain.be.

Bénédicte F Jordan (BF)

Biomedical Magnetic Resonance Research Group, UCLouvain, Louvain Drug Research Institute, Université catholique de Louvain, Brussels, Belgium. benedicte.jordan@uclouvain.be.

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Classifications MeSH