Cargando…
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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |
_version_ | 1783324781590872064 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5961792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Medical Informatics Association |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT madhavansubha standardizinganddemocratizingaccesstocancermoleculardiagnostictestdatafrompatientstodrivetranslationalresearch AT ritterdeborah standardizinganddemocratizingaccesstocancermoleculardiagnostictestdatafrompatientstodrivetranslationalresearch AT micheelchristine standardizinganddemocratizingaccesstocancermoleculardiagnostictestdatafrompatientstodrivetranslationalresearch AT raoshruti standardizinganddemocratizingaccesstocancermoleculardiagnostictestdatafrompatientstodrivetranslationalresearch AT royangshumoy standardizinganddemocratizingaccesstocancermoleculardiagnostictestdatafrompatientstodrivetranslationalresearch AT sonkindmitriy standardizinganddemocratizingaccesstocancermoleculardiagnostictestdatafrompatientstodrivetranslationalresearch AT mccoymatthew standardizinganddemocratizingaccesstocancermoleculardiagnostictestdatafrompatientstodrivetranslationalresearch AT griffithmalachi standardizinganddemocratizingaccesstocancermoleculardiagnostictestdatafrompatientstodrivetranslationalresearch AT griffithobil standardizinganddemocratizingaccesstocancermoleculardiagnostictestdatafrompatientstodrivetranslationalresearch AT mcgarveypeter standardizinganddemocratizingaccesstocancermoleculardiagnostictestdatafrompatientstodrivetranslationalresearch AT kulkarnishashikant standardizinganddemocratizingaccesstocancermoleculardiagnostictestdatafrompatientstodrivetranslationalresearch |