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A practical approach to aid physician interpretation of clinically actionable predictive biomarker results in a multi-platform tumor profiling service
Patients in whom the standard of care has failed or who have uncommon tumors for which no standard of care exists are often treated with drugs selected based on the physician’s best guess. The rate of success for this method is generally low. With the advent of fast, affordable tumor profiling techn...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3997001/ https://www.ncbi.nlm.nih.gov/pubmed/24782778 http://dx.doi.org/10.3389/fphar.2014.00076 |
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author | Russell, Kenneth Shunyakov, Leonid Dicke, Karel A. Maney, Todd Voss, Andreas |
author_facet | Russell, Kenneth Shunyakov, Leonid Dicke, Karel A. Maney, Todd Voss, Andreas |
author_sort | Russell, Kenneth |
collection | PubMed |
description | Patients in whom the standard of care has failed or who have uncommon tumors for which no standard of care exists are often treated with drugs selected based on the physician’s best guess. The rate of success for this method is generally low. With the advent of fast, affordable tumor profiling technologies, and a growth in the understanding of predictive biomarkers, it is now possible to identify drugs potentially associated with clinical benefit for such patients. We present the Caris approach to evidence-based tumor profiling and two patients with advanced ovarian and prostate cancer in whom standard of care had failed and tumor profiling identified an effective treatment schedule. To establish Caris Molecular Intelligence(TM) (CMI), over 120,000 clinical publications were screened and graded to characterize the predictive value of biomarkers that form the panel of tests. CMI includes multiple technologies to measure changes in proteins, ribonucleic acid, and deoxyribonucleic acid and proprietary software that matches the test results with the published evidence. The CMI results enable physicians to select drugs that are more likely to benefit the patients, avoid drugs that are not likely to work, and find treatment options that otherwise would not be considered. Worldwide, over 60,000 cancer patients have undergone evidence-based tumor profiling with CMI. In the cases reported in this article, CMI identified treatments that would not have been routinely used in the respective clinical setting. The clinical outcomes observed help to illustrate the utility of this approach. |
format | Online Article Text |
id | pubmed-3997001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-39970012014-04-29 A practical approach to aid physician interpretation of clinically actionable predictive biomarker results in a multi-platform tumor profiling service Russell, Kenneth Shunyakov, Leonid Dicke, Karel A. Maney, Todd Voss, Andreas Front Pharmacol Pharmacology Patients in whom the standard of care has failed or who have uncommon tumors for which no standard of care exists are often treated with drugs selected based on the physician’s best guess. The rate of success for this method is generally low. With the advent of fast, affordable tumor profiling technologies, and a growth in the understanding of predictive biomarkers, it is now possible to identify drugs potentially associated with clinical benefit for such patients. We present the Caris approach to evidence-based tumor profiling and two patients with advanced ovarian and prostate cancer in whom standard of care had failed and tumor profiling identified an effective treatment schedule. To establish Caris Molecular Intelligence(TM) (CMI), over 120,000 clinical publications were screened and graded to characterize the predictive value of biomarkers that form the panel of tests. CMI includes multiple technologies to measure changes in proteins, ribonucleic acid, and deoxyribonucleic acid and proprietary software that matches the test results with the published evidence. The CMI results enable physicians to select drugs that are more likely to benefit the patients, avoid drugs that are not likely to work, and find treatment options that otherwise would not be considered. Worldwide, over 60,000 cancer patients have undergone evidence-based tumor profiling with CMI. In the cases reported in this article, CMI identified treatments that would not have been routinely used in the respective clinical setting. The clinical outcomes observed help to illustrate the utility of this approach. Frontiers Media S.A. 2014-04-16 /pmc/articles/PMC3997001/ /pubmed/24782778 http://dx.doi.org/10.3389/fphar.2014.00076 Text en Copyright © 2014 Russell, Shunyakov, Dicke, Maney and Voss. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Russell, Kenneth Shunyakov, Leonid Dicke, Karel A. Maney, Todd Voss, Andreas A practical approach to aid physician interpretation of clinically actionable predictive biomarker results in a multi-platform tumor profiling service |
title | A practical approach to aid physician interpretation of clinically actionable predictive biomarker results in a multi-platform tumor profiling service |
title_full | A practical approach to aid physician interpretation of clinically actionable predictive biomarker results in a multi-platform tumor profiling service |
title_fullStr | A practical approach to aid physician interpretation of clinically actionable predictive biomarker results in a multi-platform tumor profiling service |
title_full_unstemmed | A practical approach to aid physician interpretation of clinically actionable predictive biomarker results in a multi-platform tumor profiling service |
title_short | A practical approach to aid physician interpretation of clinically actionable predictive biomarker results in a multi-platform tumor profiling service |
title_sort | practical approach to aid physician interpretation of clinically actionable predictive biomarker results in a multi-platform tumor profiling service |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3997001/ https://www.ncbi.nlm.nih.gov/pubmed/24782778 http://dx.doi.org/10.3389/fphar.2014.00076 |
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