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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...

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Autores principales: 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
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
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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.
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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
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