Mining nucleic acid "omics" to boost liquid biopsy in cancer.


Journal

Cell reports. Medicine
ISSN: 2666-3791
Titre abrégé: Cell Rep Med
Pays: United States
ID NLM: 101766894

Informations de publication

Date de publication:
17 Sep 2024
Historique:
received: 29 04 2024
revised: 22 07 2024
accepted: 21 08 2024
medline: 19 9 2024
pubmed: 19 9 2024
entrez: 18 9 2024
Statut: ppublish

Résumé

Treatments for cancer patients are becoming increasingly complex, and there is a growing desire from clinicians and patients for biomarkers that can account for this complexity to support informed decisions about clinical care. To achieve precision medicine, the new generation of biomarkers must reflect the spatial and temporal heterogeneity of cancer biology both between patients and within an individual patient. Mining the different layers of 'omics in a multi-modal way from a minimally invasive, easily repeatable, liquid biopsy has increasing potential in a range of clinical applications, and for improving our understanding of treatment response and resistance. Here, we detail the recent developments and methods allowing exploration of genomic, epigenomic, transcriptomic, and fragmentomic layers of 'omics from liquid biopsy, and their integration in a range of applications. We also consider the specific challenges that are posed by the clinical implementation of multi-omic liquid biopsies.

Identifiants

pubmed: 39293399
pii: S2666-3791(24)00466-X
doi: 10.1016/j.xcrm.2024.101736
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
Nucleic Acids 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

101736

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests F.M. is a co-inventor on multiple patents related to cfDNA analysis and has consulted for Roche Dx. A.C., S.M.H., D.G.R., and C.D. are co-inventors on a patent relating to cfDNA analysis. R.J.L. has received a speaker fee from Pierre Fabre and research funding from Bristol Myers Squibb, AstraZeneca, and Pierre Fabre. C.D. has received research funding/educational research grants since 2020 from the following: AstraZeneca, Amgen, Carrick Therapeutics, Merck AG, Bayer, Boehringer Ingelheim, BMS, Novartis, Celgene, Epigene Therapeutics Inc, and Menarini. C.D. has received honoraria for consultancy and/or advisory boards from Merck, AstraZeneca, GRAIL, and Boehringer Ingelheim.

Auteurs

Ann Tivey (A)

Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK; Division of Cancer Sciences, University of Manchester, Manchester, UK.

Rebecca J Lee (RJ)

Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK; Division of Cancer Sciences, University of Manchester, Manchester, UK.

Alexandra Clipson (A)

Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK.

Steven M Hill (SM)

Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK.

Paul Lorigan (P)

Division of Cancer Sciences, University of Manchester, Manchester, UK.

Dominic G Rothwell (DG)

Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK.

Caroline Dive (C)

Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK.

Florent Mouliere (F)

Cancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK. Electronic address: florent.mouliere@cruk.manchester.ac.uk.

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Classifications MeSH