The University of Southampton
University of Southampton Institutional Repository

The National Lung Matrix Trial of personalized therapy in lung cancer

The National Lung Matrix Trial of personalized therapy in lung cancer
The National Lung Matrix Trial of personalized therapy in lung cancer

The majority of targeted therapies for non-small-cell lung cancer (NSCLC) are directed against oncogenic drivers that are more prevalent in patients with light exposure to tobacco smoke1-3. As this group represents around 20% of all patients with lung cancer, the discovery of stratified medicine options for tobacco-associated NSCLC is a high priority. Umbrella trials seek to streamline the investigation of genotype-based treatments by screening tumours for multiple genomic alterations and triaging patients to one of several genotype-matched therapeutic agents. Here we report the current outcomes of 19 drug-biomarker cohorts from the ongoing National Lung Matrix Trial, the largest umbrella trial in NSCLC. We use next-generation sequencing to match patients to appropriate targeted therapies on the basis of their tumour genotype. The Bayesian trial design enables outcome data from open cohorts that are still recruiting to be reported alongside data from closed cohorts. Of the 5,467 patients that were screened, 2,007 were molecularly eligible for entry into the trial, and 302 entered the trial to receive genotype-matched therapy-including 14 that re-registered to the trial for a sequential trial drug. Despite pre-clinical data supporting the drug-biomarker combinations, current evidence shows that a limited number of combinations demonstrate clinically relevant benefits, which remain concentrated in patients with lung cancers that are associated with minimal exposure to tobacco smoke.

bayes theorem, carcinoma, non-small-cell lung/etiology, clinical protocols, clinical trials as topic, cohort studies, genetic markers, genotype, high-throughput nucleotide sequencing, humans, lung neoplasms/etiology, molecular targeted therapy, oncogenes/genetics, Patient selection, precision medicine, smoke/adverse effects, smoking/genetics, triage
0028-0836
807-812
Middleton, Gary
31c645ca-3e55-491c-866e-370b6bbd91e5
Fletcher, Peter
9d438839-fc08-48e5-a9fc-0f71a7788d85
Popat, Sanjay
10c354ba-52df-4cc8-8f46-7994dc241a0a
Savage, Joshua
7f4c4663-dc20-4046-b06b-afada255e5f4
Summers, Yvonne
408b42eb-9eac-47f4-b445-a5b8ac5331f4
Greystoke, Alastair
cfff98e4-ece7-45c9-9761-1560ad9d4091
Gilligan, David
45011bbb-7fd6-4922-9d7d-db4a610da331
Cave, Judith
60c67e39-121a-49ca-8594-93e8e456464f
O'Rourke, Noelle
6f3b2d33-4309-4d4d-bff0-4278ad50d85f
Brewster, Alison
2411c9c9-5f4b-48c4-8799-b6c3a8142c06
Toy, Elizabeth
3544a7dc-1f6e-4692-aaf9-9e42e59a563a
Spicer, James
96ddf0e4-9bd7-4322-b656-6ed59b06853e
Jain, Pooja
2dcff849-93fa-4f9c-967e-3a229bf2ea10
Dangoor, Adam
0149daf8-930f-4ed1-b6d6-75b029f0dd02
Mackean, Melanie
67626109-bbf4-400a-ae72-c51130cb12c7
Forster, Martin
c5e07b84-7471-48b6-8787-7b210b9fefcc
Farley, Amanda
f9f64a83-c245-49ec-925f-1dbd5a17157c
Wherton, Dee
603b61e8-6dfd-4784-8537-1e43d6835151
Mehmi, Manita
20e8a9d6-d540-44cf-96be-5de268df5d26
Sharpe, Rowena
3e9d4364-c615-426b-9422-bd926afec652
Mills, Tara C
82e18163-5f78-4d08-93dd-e87a3e9143b4
Cerone, Maria Antonietta
91ee34be-480e-45ab-831c-931a2ffffca2
Yap, Timothy A.
d3666253-f394-43c4-8617-27966ffeb7a9
Watkins, Thomas B.K.
3592c581-be84-4092-9502-36a6cb122e19
Lim, Emilia
8b55c1c6-c262-4bdb-9a6b-0cefd19bd4fd
Swanton, Charles
ec4243a5-762e-4c4f-b05b-33759a19dce4
Billingham, Lucinda
2c62dae2-4d66-4634-bb41-c5484f3d243a
Middleton, Gary
31c645ca-3e55-491c-866e-370b6bbd91e5
Fletcher, Peter
9d438839-fc08-48e5-a9fc-0f71a7788d85
Popat, Sanjay
10c354ba-52df-4cc8-8f46-7994dc241a0a
Savage, Joshua
7f4c4663-dc20-4046-b06b-afada255e5f4
Summers, Yvonne
408b42eb-9eac-47f4-b445-a5b8ac5331f4
Greystoke, Alastair
cfff98e4-ece7-45c9-9761-1560ad9d4091
Gilligan, David
45011bbb-7fd6-4922-9d7d-db4a610da331
Cave, Judith
60c67e39-121a-49ca-8594-93e8e456464f
O'Rourke, Noelle
6f3b2d33-4309-4d4d-bff0-4278ad50d85f
Brewster, Alison
2411c9c9-5f4b-48c4-8799-b6c3a8142c06
Toy, Elizabeth
3544a7dc-1f6e-4692-aaf9-9e42e59a563a
Spicer, James
96ddf0e4-9bd7-4322-b656-6ed59b06853e
Jain, Pooja
2dcff849-93fa-4f9c-967e-3a229bf2ea10
Dangoor, Adam
0149daf8-930f-4ed1-b6d6-75b029f0dd02
Mackean, Melanie
67626109-bbf4-400a-ae72-c51130cb12c7
Forster, Martin
c5e07b84-7471-48b6-8787-7b210b9fefcc
Farley, Amanda
f9f64a83-c245-49ec-925f-1dbd5a17157c
Wherton, Dee
603b61e8-6dfd-4784-8537-1e43d6835151
Mehmi, Manita
20e8a9d6-d540-44cf-96be-5de268df5d26
Sharpe, Rowena
3e9d4364-c615-426b-9422-bd926afec652
Mills, Tara C
82e18163-5f78-4d08-93dd-e87a3e9143b4
Cerone, Maria Antonietta
91ee34be-480e-45ab-831c-931a2ffffca2
Yap, Timothy A.
d3666253-f394-43c4-8617-27966ffeb7a9
Watkins, Thomas B.K.
3592c581-be84-4092-9502-36a6cb122e19
Lim, Emilia
8b55c1c6-c262-4bdb-9a6b-0cefd19bd4fd
Swanton, Charles
ec4243a5-762e-4c4f-b05b-33759a19dce4
Billingham, Lucinda
2c62dae2-4d66-4634-bb41-c5484f3d243a

Middleton, Gary, Fletcher, Peter, Popat, Sanjay, Savage, Joshua, Summers, Yvonne, Greystoke, Alastair, Gilligan, David, Cave, Judith, O'Rourke, Noelle, Brewster, Alison, Toy, Elizabeth, Spicer, James, Jain, Pooja, Dangoor, Adam, Mackean, Melanie, Forster, Martin, Farley, Amanda, Wherton, Dee, Mehmi, Manita, Sharpe, Rowena, Mills, Tara C, Cerone, Maria Antonietta, Yap, Timothy A., Watkins, Thomas B.K., Lim, Emilia, Swanton, Charles and Billingham, Lucinda (2020) The National Lung Matrix Trial of personalized therapy in lung cancer. Nature, 583, 807-812. (doi:10.1038/s41586-020-2481-8).

Record type: Article

Abstract

The majority of targeted therapies for non-small-cell lung cancer (NSCLC) are directed against oncogenic drivers that are more prevalent in patients with light exposure to tobacco smoke1-3. As this group represents around 20% of all patients with lung cancer, the discovery of stratified medicine options for tobacco-associated NSCLC is a high priority. Umbrella trials seek to streamline the investigation of genotype-based treatments by screening tumours for multiple genomic alterations and triaging patients to one of several genotype-matched therapeutic agents. Here we report the current outcomes of 19 drug-biomarker cohorts from the ongoing National Lung Matrix Trial, the largest umbrella trial in NSCLC. We use next-generation sequencing to match patients to appropriate targeted therapies on the basis of their tumour genotype. The Bayesian trial design enables outcome data from open cohorts that are still recruiting to be reported alongside data from closed cohorts. Of the 5,467 patients that were screened, 2,007 were molecularly eligible for entry into the trial, and 302 entered the trial to receive genotype-matched therapy-including 14 that re-registered to the trial for a sequential trial drug. Despite pre-clinical data supporting the drug-biomarker combinations, current evidence shows that a limited number of combinations demonstrate clinically relevant benefits, which remain concentrated in patients with lung cancers that are associated with minimal exposure to tobacco smoke.

Text
MATRIX - Accepted Manuscript
Available under License Other.
Download (3MB)

More information

Accepted/In Press date: 8 June 2020
e-pub ahead of print date: 15 July 2020
Keywords: bayes theorem, carcinoma, non-small-cell lung/etiology, clinical protocols, clinical trials as topic, cohort studies, genetic markers, genotype, high-throughput nucleotide sequencing, humans, lung neoplasms/etiology, molecular targeted therapy, oncogenes/genetics, Patient selection, precision medicine, smoke/adverse effects, smoking/genetics, triage

Identifiers

Local EPrints ID: 478162
URI: http://eprints.soton.ac.uk/id/eprint/478162
ISSN: 0028-0836
PURE UUID: cd150aa7-1e4c-413f-9bd6-14c6e711494a

Catalogue record

Date deposited: 23 Jun 2023 16:37
Last modified: 17 Mar 2024 02:03

Export record

Altmetrics

Contributors

Author: Gary Middleton
Author: Peter Fletcher
Author: Sanjay Popat
Author: Joshua Savage
Author: Yvonne Summers
Author: Alastair Greystoke
Author: David Gilligan
Author: Judith Cave
Author: Noelle O'Rourke
Author: Alison Brewster
Author: Elizabeth Toy
Author: James Spicer
Author: Pooja Jain
Author: Adam Dangoor
Author: Melanie Mackean
Author: Martin Forster
Author: Amanda Farley
Author: Dee Wherton
Author: Manita Mehmi
Author: Rowena Sharpe
Author: Tara C Mills
Author: Maria Antonietta Cerone
Author: Timothy A. Yap
Author: Thomas B.K. Watkins
Author: Emilia Lim
Author: Charles Swanton
Author: Lucinda Billingham

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×