Functional precision cancer medicine: drug sensitivity screening enabled by cell culture models.

cancer diagnostics drug sensitivity testing functional precision medicine molecular tumor board patient stratification

Journal

Trends in pharmacological sciences
ISSN: 1873-3735
Titre abrégé: Trends Pharmacol Sci
Pays: England
ID NLM: 7906158

Informations de publication

Date de publication:
11 2022
Historique:
received: 13 05 2022
revised: 20 08 2022
accepted: 22 08 2022
pubmed: 27 9 2022
medline: 19 10 2022
entrez: 26 9 2022
Statut: ppublish

Résumé

Functional precision medicine is a new, emerging area that can guide cancer treatment by capturing information from direct perturbations of tumor-derived, living cells, such as by drug sensitivity screening. Precision cancer medicine as currently implemented in clinical practice has been driven by genomics, and current molecular tumor boards rely extensively on genomic characterization to advise on therapeutic interventions. However, genomic biomarkers can only guide treatment decisions for a fraction of the patients. In this review we provide an overview of the current state of functional precision medicine, highlight advances for drug-sensitivity screening enabled by cell culture models, and discuss how artificial intelligence (AI) can be coupled to functional precision medicine to guide patient stratification.

Identifiants

pubmed: 36163057
pii: S0165-6147(22)00195-X
doi: 10.1016/j.tips.2022.08.009
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

973-985

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests S.S.S. has received honoraria from AbbVie and AstraZeneca, and research support from BeiGene and TG Therapeutics. Å.F. has received honoraria from Bayer, Novartis, Pierre Fabre, Amgen, and Pfizer. The other authors declare no conflicts of interest.

Auteurs

Åsmund Flobak (Å)

The Cancer Clinic, St. Olav University Hospital, Trondheim, Norway; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.

Sigrid S Skånland (SS)

Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; K.G. Jebsen Centre for B Cell Malignancies, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.

Eivind Hovig (E)

Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Department of Informatics, Centre for Bioinformatics, University of Oslo, Oslo, Norway.

Kjetil Taskén (K)

Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; K.G. Jebsen Centre for B Cell Malignancies, Institute of Clinical Medicine, University of Oslo, Oslo, Norway. Electronic address: kjetil.tasken@medisin.uio.no.

Hege G Russnes (HG)

Department of Pathology, Oslo University Hospital, Oslo, Norway; Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.

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Classifications MeSH