Comparison of circulating tumor DNA assays for Molecular Residual Disease detection in early-stage triple negative breast cancer.


Journal

Clinical cancer research : an official journal of the American Association for Cancer Research
ISSN: 1557-3265
Titre abrégé: Clin Cancer Res
Pays: United States
ID NLM: 9502500

Informations de publication

Date de publication:
11 Dec 2023
Historique:
accepted: 06 12 2023
received: 11 08 2023
revised: 16 10 2023
medline: 11 12 2023
pubmed: 11 12 2023
entrez: 11 12 2023
Statut: aheadofprint

Résumé

Detection of circulating tumor DNA (ctDNA) in patients who have completed treatment for early-stage breast cancer is associated with a high risk of relapse, yet the optimal assay for ctDNA detection is unknown. The cTRAK-TN clinical trial prospectively used tumor informed digital PCR (dPCR) assays for ctDNA molecular residual disease (MRD) detection in early-stage triple negative breast cancer. We compared tumor informed dPCR assays with tumor informed personalized multi-mutation sequencing assays in 141 patients from cTRAK-TN. MRD was first detected by personalized sequencing in 47.9% of patients, 0% first detected by dPCR, and 52.1% with both assays simultaneously (p<0.001, Fisher's exact test). The median lead time from ctDNA detection to relapse was 6.1 months with personalized sequencing and 3.9 months with dPCR (p=0.004, mixed effects Cox model). Detection of MRD at the first timepoint was associated with a shorter time to relapse compared with detection at subsequent timepoints (median lead time 4.2 vs 7.1 months, p=0.02). Personalized multi-mutation sequencing assays have potential clinically important improvements in clinical outcome in the early detection of MRD.

Identifiants

pubmed: 38078899
pii: 731689
doi: 10.1158/1078-0432.CCR-23-2326
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Maria Coakley (M)

Institute of Cancer Research, London, United Kingdom.

Guillermo Villacampa (G)

Institute of Cancer Research, United Kingdom.

Prithika Sritharan (P)

Institute of Cancer Research, United Kingdom.

Claire Swift (C)

Royal Marsden Hospital, London, United Kingdom.

Kathryn Dunne (K)

Institute of Cancer Research, London, United Kingdom.

Lucy Kilburn (L)

Institute of Cancer Research, Sutton, United Kingdom.

Katie Goddard (K)

Institute of Cancer Research, Sutton, United Kingdom.

Christodoulos Pipinikas (C)

NeoGenomics, Cambridge, United Kingdom.

Patricia Rojas (P)

NeoGenomics (United States), United States.

Warren Emmett (W)

NeoGenomics (United States), United States.

Peter Hall (P)

University of Edinburgh, Edinburgh, Lothian, United Kingdom.

Catherine Harper-Wynne (C)

Maidstone and Tunbridge Wells NHS Trust, Maidstone, United Kingdom.

Tamas Hickish (T)

Royal Bournemouth Hospital NHS Foundation Trust Bournemouth, Bournemouth, United Kingdom.

Iain Macpherson (I)

University of Glasgow, Glasgow, United Kingdom.

Alicia Okines (A)

Royal Marsden NHS Foundation Trust, London, London, United Kingdom.

Andrew Wardley (A)

Outreach Research & Innovation Group, Manchester, United Kingdom.

Duncan Wheatley (D)

Royal Cornwall Hospital Trust, Truro, United Kingdom.

Simon Waters (S)

Velindre Cancer Centre, Cardiff, United Kingdom.

Carlo Palmieri (C)

Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom.

Matthew Winter (M)

Weston Park Cancer Centre, Sheffield, United Kingdom.

Rosalind J Cutts (RJ)

Institute of Cancer Research and The Royal Marsden Hospital, London, United Kingdom.

Isaac Garcia-Murillas (I)

Institute of Cancer Research, London, United Kingdom.

Judith Bliss (J)

Institute of Cancer Research, London, United Kingdom.

Nicholas C Turner (NC)

Royal Marsden NHS Foundation Trust, London, United Kingdom.

Classifications MeSH