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Validation and utilisation of high-coverage next-generation sequencing to deliver the pharmacological audit trail
BACKGROUND: Predictive biomarker development is a key challenge for novel cancer therapeutics. We explored the feasibility of next-generation sequencing (NGS) to validate exploratory genomic biomarkers that impact phase I trial selection. METHODS: We prospectively enrolled 158 patients with advanced...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150267/ https://www.ncbi.nlm.nih.gov/pubmed/24983367 http://dx.doi.org/10.1038/bjc.2014.350 |
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author | Ong, M Carreira, S Goodall, J Mateo, J Figueiredo, I Rodrigues, D N Perkins, G Seed, G Yap, T A Attard, G de Bono, J S |
author_facet | Ong, M Carreira, S Goodall, J Mateo, J Figueiredo, I Rodrigues, D N Perkins, G Seed, G Yap, T A Attard, G de Bono, J S |
author_sort | Ong, M |
collection | PubMed |
description | BACKGROUND: Predictive biomarker development is a key challenge for novel cancer therapeutics. We explored the feasibility of next-generation sequencing (NGS) to validate exploratory genomic biomarkers that impact phase I trial selection. METHODS: We prospectively enrolled 158 patients with advanced solid tumours referred for phase I clinical trials at the Royal Marsden Hospital (October 2012 to March 2013). After fresh and/or archived tumour tissue were obtained, 93 patients remained candidates for phase I trials. Results from tumour sequencing on the Illumina MiSeq were cross-validated in 27 out of 93 patients on the Ion Torrent Personal Genome Machine (IT-PGM) blinded to results. MiSeq validation with Sequenom MassARRAY OncoCarta 1.0 (Sequenom Inc., San Diego, CA, USA) was performed in a separate cohort. RESULTS: We found 97% concordance of mutation calls by MiSeq and IT-PGM at a variant allele frequency ⩾13% and ⩾500 × depth coverage, and 91% concordance between MiSeq and Sequenom. Common ‘actionable' mutations involved deoxyribonucleic acid (DNA) repair (51%), RAS-RAF-MEK (35%), Wnt (26%), and PI3K-AKT-mTOR (24%) signalling. Out of 53, 29 (55%) patients participating in phase I trials were recommended based on identified actionable mutations. CONCLUSIONS: Targeted high-coverage NGS panels are a highly feasible single-centre technology well-suited to cross-platform validation, enrichment of trials with molecularly defined populations and hypothesis testing early in drug development. |
format | Online Article Text |
id | pubmed-4150267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-41502672015-08-26 Validation and utilisation of high-coverage next-generation sequencing to deliver the pharmacological audit trail Ong, M Carreira, S Goodall, J Mateo, J Figueiredo, I Rodrigues, D N Perkins, G Seed, G Yap, T A Attard, G de Bono, J S Br J Cancer Clinical Study BACKGROUND: Predictive biomarker development is a key challenge for novel cancer therapeutics. We explored the feasibility of next-generation sequencing (NGS) to validate exploratory genomic biomarkers that impact phase I trial selection. METHODS: We prospectively enrolled 158 patients with advanced solid tumours referred for phase I clinical trials at the Royal Marsden Hospital (October 2012 to March 2013). After fresh and/or archived tumour tissue were obtained, 93 patients remained candidates for phase I trials. Results from tumour sequencing on the Illumina MiSeq were cross-validated in 27 out of 93 patients on the Ion Torrent Personal Genome Machine (IT-PGM) blinded to results. MiSeq validation with Sequenom MassARRAY OncoCarta 1.0 (Sequenom Inc., San Diego, CA, USA) was performed in a separate cohort. RESULTS: We found 97% concordance of mutation calls by MiSeq and IT-PGM at a variant allele frequency ⩾13% and ⩾500 × depth coverage, and 91% concordance between MiSeq and Sequenom. Common ‘actionable' mutations involved deoxyribonucleic acid (DNA) repair (51%), RAS-RAF-MEK (35%), Wnt (26%), and PI3K-AKT-mTOR (24%) signalling. Out of 53, 29 (55%) patients participating in phase I trials were recommended based on identified actionable mutations. CONCLUSIONS: Targeted high-coverage NGS panels are a highly feasible single-centre technology well-suited to cross-platform validation, enrichment of trials with molecularly defined populations and hypothesis testing early in drug development. Nature Publishing Group 2014-08-26 2014-07-01 /pmc/articles/PMC4150267/ /pubmed/24983367 http://dx.doi.org/10.1038/bjc.2014.350 Text en Copyright © 2014 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/3.0/ From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ |
spellingShingle | Clinical Study Ong, M Carreira, S Goodall, J Mateo, J Figueiredo, I Rodrigues, D N Perkins, G Seed, G Yap, T A Attard, G de Bono, J S Validation and utilisation of high-coverage next-generation sequencing to deliver the pharmacological audit trail |
title | Validation and utilisation of high-coverage next-generation sequencing to deliver the pharmacological audit trail |
title_full | Validation and utilisation of high-coverage next-generation sequencing to deliver the pharmacological audit trail |
title_fullStr | Validation and utilisation of high-coverage next-generation sequencing to deliver the pharmacological audit trail |
title_full_unstemmed | Validation and utilisation of high-coverage next-generation sequencing to deliver the pharmacological audit trail |
title_short | Validation and utilisation of high-coverage next-generation sequencing to deliver the pharmacological audit trail |
title_sort | validation and utilisation of high-coverage next-generation sequencing to deliver the pharmacological audit trail |
topic | Clinical Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150267/ https://www.ncbi.nlm.nih.gov/pubmed/24983367 http://dx.doi.org/10.1038/bjc.2014.350 |
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