Circulating biomarkers at diagnosis correlate with distant metastases of early luminal-like breast cancer.


Journal

Genes and immunity
ISSN: 1476-5470
Titre abrégé: Genes Immun
Pays: England
ID NLM: 100953417

Informations de publication

Date de publication:
10 2023
Historique:
received: 11 05 2023
accepted: 04 09 2023
revised: 30 08 2023
medline: 23 10 2023
pubmed: 28 9 2023
entrez: 27 9 2023
Statut: ppublish

Résumé

There is an urgent need for new and better biomarker modalities to estimate the risk of recurrence within the luminal-like breast cancer (BC) population. Molecular diagnostic tests used in the clinic lack accuracy in identifying patients with early luminal BC who are likely to develop metastases. This study provides proof of concept that various liquid biopsy read-outs could serve as valuable candidates to build a multi-modal biomarker model distinguishing, already at diagnosis, between early metastasizing and non-metastasizing patients. All these blood biomarkers (chemokines, microRNAs, leukemia inhibitory factor, osteopontin, and serum-induced functional myeloid signaling responses) can be measured in baseline plasma/serum samples and could be added to the existing prognostic factors to improve risk stratification and more patient-tailored treatment in early luminal BC.

Identifiants

pubmed: 37759086
doi: 10.1038/s41435-023-00220-z
pii: 10.1038/s41435-023-00220-z
pmc: PMC10575765
doi:

Substances chimiques

Biomarkers, Tumor 0
MicroRNAs 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

270-279

Informations de copyright

© 2023. The Author(s).

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Auteurs

Yentl Lambrechts (Y)

Laboratory of Experimental Oncology (LEO), Department of Oncology, KU Leuven, Leuven, Belgium.

Abhishek D Garg (AD)

Laboratory of Cell Stress & Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.

Giuseppe Floris (G)

Laboratory for Cell and Tissue Translational Research, Department of Imaging and Radiology, KU Leuven - Department of Pathology, University Hospitals Leuven, Leuven, Belgium.

Kevin Punie (K)

Department of General Medical Oncology and Multidisciplinary Breast Center, University Hospitals Leuven, Leuven, Belgium.

Patrick Neven (P)

Department of General Medical Oncology and Multidisciplinary Breast Center, University Hospitals Leuven, Leuven, Belgium.

Ines Nevelsteen (I)

Department of General Medical Oncology and Multidisciplinary Breast Center, University Hospitals Leuven, Leuven, Belgium.

Jannes Govaerts (J)

Laboratory of Cell Stress & Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.

François Richard (F)

Laboratory for Translational Breast Cancer Research (LTBCR), Department of Oncology, KU Leuven, Leuven, Belgium.

Annouschka Laenen (A)

Leuven Biostatistics and Statistical Bioinformatics Center, KU Leuven, Leuven, Belgium.

Christine Desmedt (C)

Laboratory for Translational Breast Cancer Research (LTBCR), Department of Oncology, KU Leuven, Leuven, Belgium.

Hans Wildiers (H)

Laboratory of Experimental Oncology (LEO), Department of Oncology, KU Leuven, Leuven, Belgium.
Department of General Medical Oncology and Multidisciplinary Breast Center, University Hospitals Leuven, Leuven, Belgium.

Sigrid Hatse (S)

Laboratory of Experimental Oncology (LEO), Department of Oncology, KU Leuven, Leuven, Belgium. sigrid.hatse@kuleuven.be.

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