Acquired NF2 mutation confers resistance to TRK inhibition in an ex vivo LMNA::NTRK1-rearranged soft-tissue sarcoma cell model.

LMNA::NTRK1‐rearranged soft‐tissue sarcoma TRK inhibitor acquired drug resistance ex vivo sarcoma cell model targeted therapy

Journal

The Journal of pathology
ISSN: 1096-9896
Titre abrégé: J Pathol
Pays: England
ID NLM: 0204634

Informations de publication

Date de publication:
12 Apr 2024
Historique:
received: 19 12 2023
accepted: 05 03 2024
medline: 13 4 2024
pubmed: 13 4 2024
entrez: 13 4 2024
Statut: aheadofprint

Résumé

Genomic rearrangements of the neurotrophic receptor tyrosine kinase genes (NTRK1, NTRK2, and NTRK3) are the most common mechanism of oncogenic activation for this family of receptors, resulting in sustained cancer cell proliferation. Several targeted therapies have been approved for tumours harbouring NTRK fusions and a new generation of TRK inhibitors has already been developed due to acquired resistance. We established a patient-derived LMNA::NTRK1-rearranged soft-tissue sarcoma cell model ex vivo with an acquired resistance to targeted TRK inhibition. Molecular profiling of the resistant clones revealed an acquired NF2 loss of function mutation that was absent in the parental cell model. Parental cells showed continuous sensitivity to TRK-targeted treatment, whereas the resistant clones were insensitive. Furthermore, resistant clones showed upregulation of the MAPK and mTOR/AKT pathways in the gene expression based on RNA sequencing data and increased sensitivity to MEK and mTOR inhibitor therapy. Drug synergy was seen using trametinib and rapamycin in combination with entrectinib. Medium-throughput drug screening further identified small compounds as potential drug candidates to overcome resistance as monotherapy or in combination with entrectinib. In summary, we developed a comprehensive model of drug resistance in an LMNA::NTRK1-rearranged soft-tissue sarcoma and have broadened the understanding of acquired drug resistance to targeted TRK therapy. Furthermore, we identified drug combinations and small compounds to overcome acquired drug resistance and potentially guide patient care in a functional precision oncology setting. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Identifiants

pubmed: 38613194
doi: 10.1002/path.6282
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Stiftung für wissenschaftliche Forschung an der UZH/Erbschaft Bühler UZH STEB-21-003, Zürich

Informations de copyright

© 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

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Auteurs

Yanjiang Chen (Y)

Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.

Sabrina Steiner (S)

Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.

Catherine Hagedorn (C)

Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.

Sarah Kollar (S)

Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.

Alicia Pliego-Mendieta (A)

Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.

Martina Haberecker (M)

Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.

Jan Plock (J)

Department of Plastic Surgery and Hand Surgery, Kantonsspital Aarau, Aarau, Switzerland.
Department of Plastic Surgery and Hand Surgery, University Hospital Zurich, Zurich, Switzerland.

Christian Britschgi (C)

Department of Hematology and Oncology, University Hospital Zurich, Zurich, Switzerland.

Lara Planas-Paz (L)

Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.

Chantal Pauli (C)

Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.
Medical Faculty, University of Zurich, Zurich, Switzerland.

Classifications MeSH