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Resource Name
MMRF CoMMpass Study
RRID:SCR_003721 RRID Copied      
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MMRF CoMMpass Study (RRID:SCR_003721)
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Resource Information

URL: http://www.themmrf.org/research-programs/commpass-study/

Proper Citation: MMRF CoMMpass Study (RRID:SCR_003721)

Description: A personalized medicine initiative to discover biomarkers that can better define the biological basis of multiple myeloma to help stratify patients. This effort hopes to obtain samples from approximately 1,000 multiple myeloma patients and follow them over time to identify how a patient's genetic profile is related to clinical progression and treatment response. As a partnership between 17 academic centers, 5 pharmaceuticals and the Department of Veterans Affairs, the goal of this eight year study is to create a database that can accelerate future clinical trials and personalized treatment strategies. MMRF's CoMMpass Study has the following goals: * Create a guide to which treatments work best for specific patient subgroups. * Share data with researchers to accelerate drug development for specific subtypes of multiple myeloma patients. In order to facilitate discoveries and development related to targeted therapies, the comprehensive data from CoMMpass is placed in an open-access research portal. The data will be part of the Multiple Myeloma Research Foundation's (MMRF) Personalized Medicine Platform combines CoMMpass data with those collected from MMRF's Genomics Initiative. It is hoped that the longitudinal data, combined with the annotated bio-specimens will help provide insights that can accelerate personalized therapies.

Abbreviations: CoMMpass

Synonyms: Relating Clinical Outcomes in MM to Personal Assessment of Genetic Profile, Relating Clinical Outcomes in Multiple Myeloma to Personal Assessment of Genetic Profile Study, Multiple Myeloma Research Foundation (MMRF) - CoMMpass Study

Resource Type: data or information resource, organization portal, portal, topical portal, disease-related portal, consortium

Keywords: consortium, biomarker, molecular, genetic, blood, cancer, clinical, data sharing

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