Cargando…
Clinical next generation sequencing to identify actionable aberrations in a phase I program
PURPOSE: We determined the frequency of recurrent hotspot mutations in 46 cancer-related genes across tumor histologies in patients with advanced cancer. METHODS: We reviewed data from 500 consecutive patients who underwent genomic profiling on an IRB-approved prospective clinical protocol in the Ph...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4652990/ https://www.ncbi.nlm.nih.gov/pubmed/26015395 |
_version_ | 1782401848632672256 |
---|---|
author | Boland, Genevieve M. Piha-Paul, Sarina A. Subbiah, Vivek Routbort, Mark Herbrich, Shelley M. Baggerly, Keith Patel, Keyur P. Brusco, Lauren Horombe, Chacha Naing, Aung Fu, Siqing Hong, David S. Janku, Filip Johnson, Amber Broaddus, Russell Luthra, Raja Shaw, Kenna Mendelsohn, John Mills, Gordon B. Meric-Bernstam, Funda |
author_facet | Boland, Genevieve M. Piha-Paul, Sarina A. Subbiah, Vivek Routbort, Mark Herbrich, Shelley M. Baggerly, Keith Patel, Keyur P. Brusco, Lauren Horombe, Chacha Naing, Aung Fu, Siqing Hong, David S. Janku, Filip Johnson, Amber Broaddus, Russell Luthra, Raja Shaw, Kenna Mendelsohn, John Mills, Gordon B. Meric-Bernstam, Funda |
author_sort | Boland, Genevieve M. |
collection | PubMed |
description | PURPOSE: We determined the frequency of recurrent hotspot mutations in 46 cancer-related genes across tumor histologies in patients with advanced cancer. METHODS: We reviewed data from 500 consecutive patients who underwent genomic profiling on an IRB-approved prospective clinical protocol in the Phase I program at the MD Anderson Cancer Center. Archival tumor DNA was tested for 740 hotspot mutations in 46 genes (Ampli-Seq Cancer Panel; Life Technologies, CA). RESULTS: Of the 500 patients, 362 had at least one reported mutation/variant. The most common likely somatic mutations were within TP53 (36%), KRAS (11%), and PIK3CA (9%) genes. Sarcoma (20%) and kidney (30%) had the lowest proportion of likely somatic mutations detected, while pancreas (100%), colorectal (89%), melanoma (86%), and endometrial (75%) had the highest. There was high concordance in 62 patients with paired primary tumors and metastases analyzed. 151 (30%) patients had alterations in potentially actionable genes. 37 tumor types were enrolled; both rare actionable mutations in common tumor types and actionable mutations in rare tumor types were identified. CONCLUSION: Multiplex testing in the CLIA environment facilitates genomic characterization across multiple tumor lineages and identification of novel opportunities for genotype-driven trials. |
format | Online Article Text |
id | pubmed-4652990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-46529902015-12-02 Clinical next generation sequencing to identify actionable aberrations in a phase I program Boland, Genevieve M. Piha-Paul, Sarina A. Subbiah, Vivek Routbort, Mark Herbrich, Shelley M. Baggerly, Keith Patel, Keyur P. Brusco, Lauren Horombe, Chacha Naing, Aung Fu, Siqing Hong, David S. Janku, Filip Johnson, Amber Broaddus, Russell Luthra, Raja Shaw, Kenna Mendelsohn, John Mills, Gordon B. Meric-Bernstam, Funda Oncotarget Research Paper PURPOSE: We determined the frequency of recurrent hotspot mutations in 46 cancer-related genes across tumor histologies in patients with advanced cancer. METHODS: We reviewed data from 500 consecutive patients who underwent genomic profiling on an IRB-approved prospective clinical protocol in the Phase I program at the MD Anderson Cancer Center. Archival tumor DNA was tested for 740 hotspot mutations in 46 genes (Ampli-Seq Cancer Panel; Life Technologies, CA). RESULTS: Of the 500 patients, 362 had at least one reported mutation/variant. The most common likely somatic mutations were within TP53 (36%), KRAS (11%), and PIK3CA (9%) genes. Sarcoma (20%) and kidney (30%) had the lowest proportion of likely somatic mutations detected, while pancreas (100%), colorectal (89%), melanoma (86%), and endometrial (75%) had the highest. There was high concordance in 62 patients with paired primary tumors and metastases analyzed. 151 (30%) patients had alterations in potentially actionable genes. 37 tumor types were enrolled; both rare actionable mutations in common tumor types and actionable mutations in rare tumor types were identified. CONCLUSION: Multiplex testing in the CLIA environment facilitates genomic characterization across multiple tumor lineages and identification of novel opportunities for genotype-driven trials. Impact Journals LLC 2015-05-08 /pmc/articles/PMC4652990/ /pubmed/26015395 Text en Copyright: © 2015 Boland et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Boland, Genevieve M. Piha-Paul, Sarina A. Subbiah, Vivek Routbort, Mark Herbrich, Shelley M. Baggerly, Keith Patel, Keyur P. Brusco, Lauren Horombe, Chacha Naing, Aung Fu, Siqing Hong, David S. Janku, Filip Johnson, Amber Broaddus, Russell Luthra, Raja Shaw, Kenna Mendelsohn, John Mills, Gordon B. Meric-Bernstam, Funda Clinical next generation sequencing to identify actionable aberrations in a phase I program |
title | Clinical next generation sequencing to identify actionable aberrations in a phase I program |
title_full | Clinical next generation sequencing to identify actionable aberrations in a phase I program |
title_fullStr | Clinical next generation sequencing to identify actionable aberrations in a phase I program |
title_full_unstemmed | Clinical next generation sequencing to identify actionable aberrations in a phase I program |
title_short | Clinical next generation sequencing to identify actionable aberrations in a phase I program |
title_sort | clinical next generation sequencing to identify actionable aberrations in a phase i program |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4652990/ https://www.ncbi.nlm.nih.gov/pubmed/26015395 |
work_keys_str_mv | AT bolandgenevievem clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT pihapaulsarinaa clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT subbiahvivek clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT routbortmark clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT herbrichshelleym clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT baggerlykeith clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT patelkeyurp clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT bruscolauren clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT horombechacha clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT naingaung clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT fusiqing clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT hongdavids clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT jankufilip clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT johnsonamber clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT broaddusrussell clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT luthraraja clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT shawkenna clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT mendelsohnjohn clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT millsgordonb clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram AT mericbernstamfunda clinicalnextgenerationsequencingtoidentifyactionableaberrationsinaphaseiprogram |