Impact of Duration of Neoadjuvant Aromatase Inhibitors on Molecular Expression Profiles in Estrogen Receptor-positive Breast Cancers.


Journal

Clinical cancer research : an official journal of the American Association for Cancer Research
ISSN: 1557-3265
Titre abrégé: Clin Cancer Res
Pays: United States
ID NLM: 9502500

Informations de publication

Date de publication:
15 03 2022
Historique:
received: 26 07 2021
revised: 18 10 2021
accepted: 16 12 2021
pubmed: 31 12 2021
medline: 16 4 2022
entrez: 30 12 2021
Statut: ppublish

Résumé

Aromatase inhibitor (AI) treatment is the standard of care for postmenopausal women with primary estrogen receptor-positive breast cancer. The impact of duration of neoadjuvant endocrine therapy (NET) on molecular characteristics is still unknown. We evaluated and compared changes of gene expression profiles under short-term (2-week) versus longer-term neoadjuvant AIs. Global gene expression profiles from the PeriOperative Endocrine Therapy for Individualised Care (POETIC) trial (137 received 2 weeks of AIs and 47 received no treatment) and targeted gene expression from 80 patients with breast cancer treated with NET for more than 1 month (NeoAI) were assessed. Intrinsic subtyping, module scores covering different cancer pathways and immune-related genes were calculated for pretreated and posttreated tumors. The differences in intrinsic subtypes after NET were comparable between the two cohorts, with most Luminal B (90.0% in the POETIC trial and 76.3% in NeoAI) and 50.0% of HER2 enriched at baseline reclassified as Luminal A or normal-like after NET. Downregulation of proliferative-related pathways was observed after 2 weeks of AIs. However, more changes in genes from cancer-signaling pathways such as MAPK and PI3K/AKT/mTOR and immune response/immune-checkpoint components that were associated with AI-resistant tumors and differential outcome were observed in the NeoAI study. Tumor transcriptional profiles undergo bigger changes in response to longer NET. Changes in HER2-enriched and Luminal B subtypes are similar between the two cohorts, thus AI-sensitive intrinsic subtype tumors associated with good survival might be identified after 2 weeks of AI. The changes of immune-checkpoint component expression in early AI resistance and its impact on survival outcome warrants careful investigation in clinical trials.

Identifiants

pubmed: 34965950
pii: 1078-0432.CCR-21-2718
doi: 10.1158/1078-0432.CCR-21-2718
pmc: PMC7612503
mid: EMS140645
doi:

Substances chimiques

Aromatase Inhibitors 0
Receptors, Estrogen 0
Receptor, ErbB-2 EC 2.7.10.1

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1217-1228

Subventions

Organisme : Cancer Research UK
ID : 8671
Pays : United Kingdom
Organisme : Cancer Research UK
ID : A15955
Pays : United Kingdom
Organisme : Cancer Research UK
ID : A8671
Pays : United Kingdom
Organisme : Cancer Research UK
ID : A8962
Pays : United Kingdom
Organisme : Cancer Research UK
ID : CRUK/07/015
Pays : United Kingdom

Informations de copyright

©2021 The Authors; Published by the American Association for Cancer Research.

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Auteurs

Milana A Bergamino (MA)

Clinical Trials and Statistics Unit (ICR-CTSU)- Division of Clinical Studies, The Institute of Cancer Research, London, United Kingdom.

Gabriele Morani (G)

Clinical Trials and Statistics Unit (ICR-CTSU)- Division of Clinical Studies, The Institute of Cancer Research, London, United Kingdom.

Joel Parker (J)

Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Eugene F Schuster (EF)

Royal Marsden Hospital, London, United Kingdom.

Mariana F Leal (MF)

Royal Marsden Hospital, London, United Kingdom.

Elena López-Knowles (E)

Royal Marsden Hospital, London, United Kingdom.

Holly Tovey (H)

Clinical Trials and Statistics Unit (ICR-CTSU)- Division of Clinical Studies, The Institute of Cancer Research, London, United Kingdom.

Judith M Bliss (JM)

Clinical Trials and Statistics Unit (ICR-CTSU)- Division of Clinical Studies, The Institute of Cancer Research, London, United Kingdom.

John F R Robertson (JFR)

Faculty of Medicine & Health Sciences, Queen's Medical Centre, Nottingham, United Kingdom.

Ian E Smith (IE)

Royal Marsden Hospital, London, United Kingdom.

Mitch Dowsett (M)

Royal Marsden Hospital, London, United Kingdom.
Breast Cancer Now Research Centre, The Institute of Cancer Research, Sutton, London, United Kingdom.

Maggie C U Cheang (MCU)

Clinical Trials and Statistics Unit (ICR-CTSU)- Division of Clinical Studies, The Institute of Cancer Research, London, United Kingdom.

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Classifications MeSH