Comprehensive characterization of pre- and post-treatment samples of breast cancer reveal potential mechanisms of chemotherapy resistance.


Journal

NPJ breast cancer
ISSN: 2374-4677
Titre abrégé: NPJ Breast Cancer
Pays: United States
ID NLM: 101674891

Informations de publication

Date de publication:
06 May 2022
Historique:
received: 06 09 2021
accepted: 12 04 2022
entrez: 6 5 2022
pubmed: 7 5 2022
medline: 7 5 2022
Statut: epublish

Résumé

When locally advanced breast cancer is treated with neoadjuvant chemotherapy, the recurrence risk is significantly higher if no complete pathologic response is achieved. Identification of the underlying resistance mechanisms is essential to select treatments with maximal efficacy and minimal toxicity. Here we employed gene expression profiles derived from 317 HER2-negative treatment-naïve breast cancer biopsies of patients who underwent neoadjuvant chemotherapy, deep whole exome, and RNA-sequencing profiles of 22 matched pre- and post-treatment tumors, and treatment outcome data to identify biomarkers of response and resistance mechanisms. Molecular profiling of treatment-naïve breast cancer samples revealed that expression levels of proliferation, immune response, and extracellular matrix (ECM) organization combined predict response to chemotherapy. Triple negative patients with high proliferation, high immune response and low ECM expression had a significantly better treatment response and survival benefit (HR 0.29, 95% CI 0.10-0.85; p = 0.02), while in ER+ patients the opposite was seen (HR 4.73, 95% CI 1.51-14.8; p = 0.008). The characterization of paired pre-and post-treatment samples revealed that aberrations of known cancer genes were either only present in the pre-treatment sample (CDKN1B) or in the post-treatment sample (TP53, APC, CTNNB1). Proliferation-associated genes were frequently down-regulated in post-treatment ER+ tumors, but not in triple negative tumors. Genes involved in ECM were upregulated in the majority of post-chemotherapy samples. Genomic and transcriptomic differences between pre- and post-chemotherapy samples are common and may reveal potential mechanisms of therapy resistance. Our results show a wide range of distinct, but related mechanisms, with a prominent role for proliferation- and ECM-related genes.

Identifiants

pubmed: 35523804
doi: 10.1038/s41523-022-00428-8
pii: 10.1038/s41523-022-00428-8
pmc: PMC9076915
doi:

Types de publication

Journal Article

Langues

eng

Pagination

60

Subventions

Organisme : KWF Kankerbestrijding (Dutch Cancer Society)
ID : 2014-6007
Organisme : KWF Kankerbestrijding (Dutch Cancer Society)
ID : 2014-6007
Organisme : KWF Kankerbestrijding (Dutch Cancer Society)
ID : 2014-6007
Organisme : KWF Kankerbestrijding (Dutch Cancer Society)
ID : 2014-6007

Informations de copyright

© 2022. The Author(s).

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Auteurs

Marlous Hoogstraat (M)

Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Division of Molecular Carcinogenesis, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands.

Esther H Lips (EH)

Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands. e.lips@nki.nl.

Isabel Mayayo-Peralta (I)

Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands.

Lennart Mulder (L)

Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.

Petra Kristel (P)

Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.

Ingrid van der Heijden (I)

Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.

Stefano Annunziato (S)

Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.

Maartje van Seijen (M)

Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.

Petra M Nederlof (PM)

Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.

Gabe S Sonke (GS)

Division of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Wilbert Zwart (W)

Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands.

Jelle Wesseling (J)

Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands.

Lodewyk F A Wessels (LFA)

Division of Molecular Carcinogenesis, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands. l.wessels@nki.nl.
Department of EEMCS, Delft University of Technology, Delft, The Netherlands. l.wessels@nki.nl.

Classifications MeSH