Profiling of Circulating Free DNA Using Targeted and Genome-wide Sequencing in Patients with SCLC.


Journal

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
ISSN: 1556-1380
Titre abrégé: J Thorac Oncol
Pays: United States
ID NLM: 101274235

Informations de publication

Date de publication:
02 2020
Historique:
received: 01 05 2019
revised: 14 09 2019
accepted: 10 10 2019
pubmed: 20 10 2019
medline: 7 1 2021
entrez: 20 10 2019
Statut: ppublish

Résumé

SCLC accounts for approximately 250,000 deaths worldwide each year. Acquisition of adequate tumor biopsy samples is challenging, and liquid biopsies present an alternative option for patient stratification and response monitoring. We applied whole genome next-generation sequencing to circulating free DNA (cfDNA) from 39 patients with limited-stage (LS) SCLC and 30 patients with extensive-stage SCLC to establish genome-wide copy number aberrations and also performed targeted mutation analysis of 110 SCLC associated genes. Quantitative metrics were calculated for copy number aberrations, including percent genome amplified (PGA [the percentage of genomic regions amplified]), Z-score (a measure of standard deviation), and Moran's I (a measure of spatial autocorrelation). In addition CellSearch, an epitope-dependent enrichment platform, was used to enumerate circulating tumor cells (CTCs) from a parallel blood sample. Genome-wide and targeted cfDNA sequencing data identified tumor-related changes in 94% of patients with LS SCLC and 100% of patients with extensive-stage SCLC. Parallel analysis of CTCs based on at least 1 CTC/7.5 mL of blood increased tumor detection frequencies to 95% for LS SCLC. Both CTC counts and cfDNA readouts correlated with disease stage and overall survival. We demonstrate that a simple cfDNA genome-wide copy number approach provides an effective means of monitoring patients through treatment and show that targeted cfDNA sequencing identifies potential therapeutic targets in more than 50% of patients. We are now incorporating this approach into additional studies and trials of targeted therapies.

Identifiants

pubmed: 31629061
pii: S1556-0864(19)33566-X
doi: 10.1016/j.jtho.2019.10.007
pmc: PMC7001105
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
Cell-Free Nucleic Acids 0
DNA 9007-49-2

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

216-230

Subventions

Organisme : Cancer Research UK
ID : C5759/A27412
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C5759/A25254
Pays : United Kingdom
Organisme : Cancer Research UK
ID : A25146
Pays : United Kingdom
Organisme : Cancer Research UK
ID : A20465
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/M008908/1
Pays : United Kingdom

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2019 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

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Auteurs

Sumitra Mohan (S)

Clinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

Victoria Foy (V)

Clinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

Mahmood Ayub (M)

Clinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

Hui Sun Leong (HS)

Computational Biology Support, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

Pieta Schofield (P)

Computational Biology Support, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

Sudhakar Sahoo (S)

Computational Biology Support, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

Tine Descamps (T)

Clinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

Bedirhan Kilerci (B)

Clinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

Nigel K Smith (NK)

Clinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

Mathew Carter (M)

Clinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

Lynsey Priest (L)

Clinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

Cong Zhou (C)

Clinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

T Hedley Carr (TH)

Oncology, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, United Kingdom.

Crispin Miller (C)

Computational Biology Support, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

Corinne Faivre-Finn (C)

Christie National Health Service Foundation Trust, Division of Cancer Sciences, The University of Manchester, Manchester, United Kingdom.

Fiona Blackhall (F)

Christie National Health Service Foundation Trust, Division of Cancer Sciences, The University of Manchester, Manchester, United Kingdom.

Dominic G Rothwell (DG)

Clinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom. Electronic address: dominic.rothwell@manchester.ac.uk.

Caroline Dive (C)

Clinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

Gerard Brady (G)

Clinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.

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Classifications MeSH