Interrogating breast cancer heterogeneity using single and pooled circulating tumor cell analysis.


Journal

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

Informations de publication

Date de publication:
05 Jul 2022
Historique:
received: 23 12 2021
accepted: 10 06 2022
entrez: 5 7 2022
pubmed: 6 7 2022
medline: 6 7 2022
Statut: epublish

Résumé

Single cell technologies allow the interrogation of tumor heterogeneity, providing insights into tumor evolution and treatment resistance. To better understand whether circulating tumor cells (CTCs) could complement metastatic biopsies for tumor genomic profiling, we characterized 11 single CTCs and 10 pooled CTC samples at the mutational and copy number aberration (CNA) levels, and compared these results with matched synchronous tumor biopsies from 3 metastatic breast cancer patients with triple-negative (TNBC), HER2-positive and estrogen receptor-positive (ER+) tumors. Similar CNA profiles and the same patient-specific driver mutations were found in bulk tissue and CTCs for the HER2-positive and TNBC tumors, whereas different CNA profiles and driver mutations were identified for the ER+ tumor, which presented two distinct clones in CTCs defined by mutations in ESR1 Y537N and TP53, respectively. Furthermore, de novo mutational signatures derived from CTCs described patient-specific biological processes. These data suggest that tumor tissue and CTCs provide complementary clinically relevant information to map tumor heterogeneity and tumor evolution.

Identifiants

pubmed: 35790747
doi: 10.1038/s41523-022-00445-7
pii: 10.1038/s41523-022-00445-7
pmc: PMC9256697
doi:

Types de publication

Journal Article

Langues

eng

Pagination

79

Informations de copyright

© 2022. The Author(s).

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Auteurs

Françoise Rothé (F)

Breast Cancer Translational Research Laboratory J.-C. Heuson, Université Libre de Bruxelles, Institut Jules Bordet, Brussels, Belgium.

David Venet (D)

Breast Cancer Translational Research Laboratory J.-C. Heuson, Université Libre de Bruxelles, Institut Jules Bordet, Brussels, Belgium.

Dieter Peeters (D)

Histopathology, Imaging and Quantification Unit, CellCarta, Antwerp, Belgium.
Department of Pathology, AZ Sint-Maarten, Mechelen, Belgium.

Ghizlane Rouas (G)

Breast Cancer Translational Research Laboratory J.-C. Heuson, Université Libre de Bruxelles, Institut Jules Bordet, Brussels, Belgium.

Mattia Rediti (M)

Breast Cancer Translational Research Laboratory J.-C. Heuson, Université Libre de Bruxelles, Institut Jules Bordet, Brussels, Belgium.

Dominiek Smeets (D)

Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
Center for Cancer Biology, VIB, Leuven, Belgium.

Floriane Dupont (F)

Breast Cancer Translational Research Laboratory J.-C. Heuson, Université Libre de Bruxelles, Institut Jules Bordet, Brussels, Belgium.

Peter Campbell (P)

Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK.

Diether Lambrechts (D)

Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
Center for Cancer Biology, VIB, Leuven, Belgium.

Luc Dirix (L)

Translational Cancer Research Unit, Center for Oncological Research, University of Antwerp, Antwerpen, Belgium.

Christos Sotiriou (C)

Breast Cancer Translational Research Laboratory J.-C. Heuson, Université Libre de Bruxelles, Institut Jules Bordet, Brussels, Belgium.

Michail Ignatiadis (M)

Department of Medical Oncology, Université Libre de Bruxelles, Institut Jules Bordet, Brussels, Belgium. michail.ignatiadis@bordet.be.

Classifications MeSH