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Standardizing And Democratizing Access To Cancer Molecular Diagnostic Test Data From Patients To Drive Translational Research

In the last 3-5 years, there has been a rapid increase in clinical use of next generation sequencing (NGS) based cancer molecular diagnostic (MolDx) testing to develop better treatment plans with targeted therapies. To truly achieve precision oncology, it is critical to catalog cancer sequence varia...

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Autores principales: Madhavan, Subha, Ritter, Deborah, Micheel, Christine, Rao, Shruti, Roy, Angshumoy, Sonkin, Dmitriy, Mccoy, Matthew, Griffith, Malachi, Griffith, Obi L, Mcgarvey, Peter, Kulkarni, Shashikant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961792/
https://www.ncbi.nlm.nih.gov/pubmed/29888062
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author Madhavan, Subha
Ritter, Deborah
Micheel, Christine
Rao, Shruti
Roy, Angshumoy
Sonkin, Dmitriy
Mccoy, Matthew
Griffith, Malachi
Griffith, Obi L
Mcgarvey, Peter
Kulkarni, Shashikant
author_facet Madhavan, Subha
Ritter, Deborah
Micheel, Christine
Rao, Shruti
Roy, Angshumoy
Sonkin, Dmitriy
Mccoy, Matthew
Griffith, Malachi
Griffith, Obi L
Mcgarvey, Peter
Kulkarni, Shashikant
author_sort Madhavan, Subha
collection PubMed
description In the last 3-5 years, there has been a rapid increase in clinical use of next generation sequencing (NGS) based cancer molecular diagnostic (MolDx) testing to develop better treatment plans with targeted therapies. To truly achieve precision oncology, it is critical to catalog cancer sequence variants from MolDx testing for their clinical relevance along with treatment information and patient outcomes, and to do so in a way that supports large-scale data aggregation and new hypothesis generation. Through the NIH-funded Clinical Genome Resource (ClinGen), in collaboration with NLM’s ClinVar database and >50 academic and industry based cancer research organizations, a Minimal Variant Level Data (MVLD) framework to standardize reporting and interpretation of drug associated alterations was developed. Methodological and technology development to standardize and map MolDx data to the MVLD standard are presented here. Also described is a novel community engagement effort through disease-focused taskforces to provide usecases for technology development.
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spelling pubmed-59617922018-06-08 Standardizing And Democratizing Access To Cancer Molecular Diagnostic Test Data From Patients To Drive Translational Research Madhavan, Subha Ritter, Deborah Micheel, Christine Rao, Shruti Roy, Angshumoy Sonkin, Dmitriy Mccoy, Matthew Griffith, Malachi Griffith, Obi L Mcgarvey, Peter Kulkarni, Shashikant AMIA Jt Summits Transl Sci Proc Articles In the last 3-5 years, there has been a rapid increase in clinical use of next generation sequencing (NGS) based cancer molecular diagnostic (MolDx) testing to develop better treatment plans with targeted therapies. To truly achieve precision oncology, it is critical to catalog cancer sequence variants from MolDx testing for their clinical relevance along with treatment information and patient outcomes, and to do so in a way that supports large-scale data aggregation and new hypothesis generation. Through the NIH-funded Clinical Genome Resource (ClinGen), in collaboration with NLM’s ClinVar database and >50 academic and industry based cancer research organizations, a Minimal Variant Level Data (MVLD) framework to standardize reporting and interpretation of drug associated alterations was developed. Methodological and technology development to standardize and map MolDx data to the MVLD standard are presented here. Also described is a novel community engagement effort through disease-focused taskforces to provide usecases for technology development. American Medical Informatics Association 2018-05-18 /pmc/articles/PMC5961792/ /pubmed/29888062 Text en ©2018 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
spellingShingle Articles
Madhavan, Subha
Ritter, Deborah
Micheel, Christine
Rao, Shruti
Roy, Angshumoy
Sonkin, Dmitriy
Mccoy, Matthew
Griffith, Malachi
Griffith, Obi L
Mcgarvey, Peter
Kulkarni, Shashikant
Standardizing And Democratizing Access To Cancer Molecular Diagnostic Test Data From Patients To Drive Translational Research
title Standardizing And Democratizing Access To Cancer Molecular Diagnostic Test Data From Patients To Drive Translational Research
title_full Standardizing And Democratizing Access To Cancer Molecular Diagnostic Test Data From Patients To Drive Translational Research
title_fullStr Standardizing And Democratizing Access To Cancer Molecular Diagnostic Test Data From Patients To Drive Translational Research
title_full_unstemmed Standardizing And Democratizing Access To Cancer Molecular Diagnostic Test Data From Patients To Drive Translational Research
title_short Standardizing And Democratizing Access To Cancer Molecular Diagnostic Test Data From Patients To Drive Translational Research
title_sort standardizing and democratizing access to cancer molecular diagnostic test data from patients to drive translational research
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961792/
https://www.ncbi.nlm.nih.gov/pubmed/29888062
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