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Tracking genomic cancer evolution for precision medicine: the lung TRACERx study.

Authors :
Mariam Jamal-Hanjani
Alan Hackshaw
Yenting Ngai
Jacqueline Shaw
Caroline Dive
Sergio Quezada
Gary Middleton
Elza de Bruin
John Le Quesne
Seema Shafi
Mary Falzon
Stuart Horswell
Fiona Blackhall
Iftekhar Khan
Sam Janes
Marianne Nicolson
David Lawrence
Martin Forster
Dean Fennell
Siow-Ming Lee
Jason Lester
Keith Kerr
Salli Muller
Natasha Iles
Sean Smith
Nirupa Murugaesu
Richard Mitter
Max Salm
Aengus Stuart
Nik Matthews
Haydn Adams
Tanya Ahmad
Richard Attanoos
Jonathan Bennett
Nicolai Juul Birkbak
Richard Booton
Ged Brady
Keith Buchan
Arrigo Capitano
Mahendran Chetty
Mark Cobbold
Philip Crosbie
Helen Davies
Alan Denison
Madhav Djearman
Jacki Goldman
Tom Haswell
Leena Joseph
Malgorzata Kornaszewska
Matthew Krebs
Gerald Langman
Mairead MacKenzie
Joy Millar
Bruno Morgan
Babu Naidu
Daisuke Nonaka
Karl Peggs
Catrin Pritchard
Hardy Remmen
Andrew Rowan
Rajesh Shah
Elaine Smith
Yvonne Summers
Magali Taylor
Selvaraju Veeriah
David Waller
Ben Wilcox
Maggie Wilcox
Ian Woolhouse
Nicholas McGranahan
Charles Swanton
Source :
PLoS Biology, Vol 12, Iss 7, p e1001906 (2014)
Publication Year :
2014
Publisher :
Public Library of Science (PLoS), 2014.

Abstract

The importance of intratumour genetic and functional heterogeneity is increasingly recognised as a driver of cancer progression and survival outcome. Understanding how tumour clonal heterogeneity impacts upon therapeutic outcome, however, is still an area of unmet clinical and scientific need. TRACERx (TRAcking non-small cell lung Cancer Evolution through therapy [Rx]), a prospective study of patients with primary non-small cell lung cancer (NSCLC), aims to define the evolutionary trajectories of lung cancer in both space and time through multiregion and longitudinal tumour sampling and genetic analysis. By following cancers from diagnosis to relapse, tracking the evolutionary trajectories of tumours in relation to therapeutic interventions, and determining the impact of clonal heterogeneity on clinical outcomes, TRACERx may help to identify novel therapeutic targets for NSCLC and may also serve as a model applicable to other cancer types.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
15449173 and 15457885
Volume :
12
Issue :
7
Database :
Directory of Open Access Journals
Journal :
PLoS Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.8c969701acb64396b9868a4b3806e9e1
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pbio.1001906