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Experience with precision genomics and tumor board, indicates frequent target identification, but barriers to delivery
BACKGROUND: The ability to analyze the genomics of malignancies has opened up new possibilities for off-label targeted therapy in cancers that are refractory to standard therapy. At Mayo Clinic these efforts are organized through the Center for Individualized Medicine (CIM). RESULTS: Prior to GTB, d...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432324/ https://www.ncbi.nlm.nih.gov/pubmed/28423702 http://dx.doi.org/10.18632/oncotarget.16057 |
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author | Bryce, Alan H. Egan, Jan B. Borad, Mitesh J. Stewart, A. Keith Nowakowski, Grzegorz S. Chanan-Khan, Asher Patnaik, Mrinal M. Ansell, Stephen M. Banck, Michaela S. Robinson, Steven I. Mansfield, Aaron S. Klee, Eric W. Oliver, Gavin R. McCormick, Jennifer B. Huneke, Norine E. Tagtow, Colleen M. Jenkins, Robert B. Rumilla, Kandelaria M. Kerr, Sarah E. Kocher, Jean-Pierre A. Beck, Scott A. Fernandez-Zapico, Martin E. Farrugia, Gianrico Lazaridis, Konstantinos N. McWilliams, Robert R. |
author_facet | Bryce, Alan H. Egan, Jan B. Borad, Mitesh J. Stewart, A. Keith Nowakowski, Grzegorz S. Chanan-Khan, Asher Patnaik, Mrinal M. Ansell, Stephen M. Banck, Michaela S. Robinson, Steven I. Mansfield, Aaron S. Klee, Eric W. Oliver, Gavin R. McCormick, Jennifer B. Huneke, Norine E. Tagtow, Colleen M. Jenkins, Robert B. Rumilla, Kandelaria M. Kerr, Sarah E. Kocher, Jean-Pierre A. Beck, Scott A. Fernandez-Zapico, Martin E. Farrugia, Gianrico Lazaridis, Konstantinos N. McWilliams, Robert R. |
author_sort | Bryce, Alan H. |
collection | PubMed |
description | BACKGROUND: The ability to analyze the genomics of malignancies has opened up new possibilities for off-label targeted therapy in cancers that are refractory to standard therapy. At Mayo Clinic these efforts are organized through the Center for Individualized Medicine (CIM). RESULTS: Prior to GTB, datasets were analyzed and integrated by a team of bioinformaticians and cancer biologists. Therapeutically actionable mutations were identified in 65% (92/141) of the patients tested with 32% (29/92) receiving genomically targeted therapy with FDA approved drugs or in an independent clinical trial with 45% (13/29) responding. Standard of care (SOC) options were continued by 15% (14/92) of patients tested before exhausting SOC options, with 71% (10/14) responding to treatment. Over 35% (34/92) of patients with actionable targets were not treated with 65% (22/34) choosing comfort measures or passing away. MATERIALS AND METHODS: Patients (N = 165) were referred to the CIM Clinic between October 2012 and December 2015. All patients received clinical genomic panel testing with selected subsets receiving array comparative genomic hybridization and clinical whole exome sequencing to complement and validate panel findings. A genomic tumor board (GTB) reviewed results and, when possible, developed treatment recommendations. CONCLUSIONS: Treatment decisions driven by tumor genomic analysis can lead to significant clinical benefit in a minority of patients. The success of genomically driven therapy depends both on access to drugs and robustness of bioinformatics analysis. While novel clinical trial designs are increasing the utility of genomic testing, robust data sharing of outcomes is needed to optimize clinical benefit for all patients. |
format | Online Article Text |
id | pubmed-5432324 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-54323242017-05-17 Experience with precision genomics and tumor board, indicates frequent target identification, but barriers to delivery Bryce, Alan H. Egan, Jan B. Borad, Mitesh J. Stewart, A. Keith Nowakowski, Grzegorz S. Chanan-Khan, Asher Patnaik, Mrinal M. Ansell, Stephen M. Banck, Michaela S. Robinson, Steven I. Mansfield, Aaron S. Klee, Eric W. Oliver, Gavin R. McCormick, Jennifer B. Huneke, Norine E. Tagtow, Colleen M. Jenkins, Robert B. Rumilla, Kandelaria M. Kerr, Sarah E. Kocher, Jean-Pierre A. Beck, Scott A. Fernandez-Zapico, Martin E. Farrugia, Gianrico Lazaridis, Konstantinos N. McWilliams, Robert R. Oncotarget Research Paper BACKGROUND: The ability to analyze the genomics of malignancies has opened up new possibilities for off-label targeted therapy in cancers that are refractory to standard therapy. At Mayo Clinic these efforts are organized through the Center for Individualized Medicine (CIM). RESULTS: Prior to GTB, datasets were analyzed and integrated by a team of bioinformaticians and cancer biologists. Therapeutically actionable mutations were identified in 65% (92/141) of the patients tested with 32% (29/92) receiving genomically targeted therapy with FDA approved drugs or in an independent clinical trial with 45% (13/29) responding. Standard of care (SOC) options were continued by 15% (14/92) of patients tested before exhausting SOC options, with 71% (10/14) responding to treatment. Over 35% (34/92) of patients with actionable targets were not treated with 65% (22/34) choosing comfort measures or passing away. MATERIALS AND METHODS: Patients (N = 165) were referred to the CIM Clinic between October 2012 and December 2015. All patients received clinical genomic panel testing with selected subsets receiving array comparative genomic hybridization and clinical whole exome sequencing to complement and validate panel findings. A genomic tumor board (GTB) reviewed results and, when possible, developed treatment recommendations. CONCLUSIONS: Treatment decisions driven by tumor genomic analysis can lead to significant clinical benefit in a minority of patients. The success of genomically driven therapy depends both on access to drugs and robustness of bioinformatics analysis. While novel clinical trial designs are increasing the utility of genomic testing, robust data sharing of outcomes is needed to optimize clinical benefit for all patients. Impact Journals LLC 2017-03-09 /pmc/articles/PMC5432324/ /pubmed/28423702 http://dx.doi.org/10.18632/oncotarget.16057 Text en Copyright: © 2017 Bryce et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Bryce, Alan H. Egan, Jan B. Borad, Mitesh J. Stewart, A. Keith Nowakowski, Grzegorz S. Chanan-Khan, Asher Patnaik, Mrinal M. Ansell, Stephen M. Banck, Michaela S. Robinson, Steven I. Mansfield, Aaron S. Klee, Eric W. Oliver, Gavin R. McCormick, Jennifer B. Huneke, Norine E. Tagtow, Colleen M. Jenkins, Robert B. Rumilla, Kandelaria M. Kerr, Sarah E. Kocher, Jean-Pierre A. Beck, Scott A. Fernandez-Zapico, Martin E. Farrugia, Gianrico Lazaridis, Konstantinos N. McWilliams, Robert R. Experience with precision genomics and tumor board, indicates frequent target identification, but barriers to delivery |
title | Experience with precision genomics and tumor board, indicates frequent target identification, but barriers to delivery |
title_full | Experience with precision genomics and tumor board, indicates frequent target identification, but barriers to delivery |
title_fullStr | Experience with precision genomics and tumor board, indicates frequent target identification, but barriers to delivery |
title_full_unstemmed | Experience with precision genomics and tumor board, indicates frequent target identification, but barriers to delivery |
title_short | Experience with precision genomics and tumor board, indicates frequent target identification, but barriers to delivery |
title_sort | experience with precision genomics and tumor board, indicates frequent target identification, but barriers to delivery |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432324/ https://www.ncbi.nlm.nih.gov/pubmed/28423702 http://dx.doi.org/10.18632/oncotarget.16057 |
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