Somatic cancer variant curation and harmonization through consensus minimum variant level data

BackgroundTo truly achieve personalized medicine in oncology, it is critical to catalog and curate cancer sequence variants for their clinical relevance. The Somatic Working Group (WG) of the Clinical Genome Resource (ClinGen), in cooperation with ClinVar and multiple cancer variant curation stakeholders, has developed a consensus set of minimal variant level data (MVLD). MVLD is a framework of standardized data elements to curate cancer variants for clinical utility. With implementation of MVLD standards, and in a working partnership with ClinVar, we aim to streamline the somatic variant curation efforts in the community and reduce redundancy and time burden for the interpretation of cancer variants in clinical practice.MethodsWe developed MVLD through a consensus approach by i) reviewing clinical actionability interpretations from institutions participating in the WG, ii) conducting extensive literature search of clinical somatic interpretation schemas, and iii) survey of cancer variant web portals. A forthcoming guideline on cancer variant interpretation, from the Association of Molecular Pathology (AMP), can be incorporated into MVLD.ResultsAlong with harmonizing standardized terminology for allele interpretive and descriptive fields that are collected by many databases, the MVLD includes unique fields for cancer variants such as Biomarker Class, Therapeutic Context and Effect. In addition, MVLD includes recommendations for controlled semantics and ontologies. The Somatic WG is collaborating with ClinVar to evaluate MVLD use for somatic variant submissions. ClinVar is an open and centralized repository where sequencing laboratories can report summary-level variant data with clinical significance, and ClinVar accepts cancer variant data.ConclusionsWe expect the use of the MVLD to streamline clinical interpretation of cancer variants, enhance interoperability among multiple redundant curation efforts, and increase submission of somatic variants to ClinVar, all of which will enhance translation to clinical oncology practice.

[1]  Christine M. Micheel,et al.  The Path(way) Less Traveled: A Pathway-Oriented Approach to Providing Information about Precision Cancer Medicine on My Cancer Genome12 , 2016, Translational oncology.

[2]  David S. Wishart,et al.  DrugBank 4.0: shedding new light on drug metabolism , 2013, Nucleic Acids Res..

[3]  Bale,et al.  Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology , 2015, Genetics in Medicine.

[4]  R. Durbin,et al.  The Sequence Ontology: a tool for the unification of genome annotations , 2005, Genome Biology.

[5]  Suzanne Kamel-Reid,et al.  A classification system for clinical relevance of somatic variants identified in molecular profiling of cancer , 2015, Genetics in Medicine.

[6]  Sudhir Srivastava,et al.  Generating a focused view of disease ontology cancer terms for pan-cancer data integration and analysis , 2015, Database J. Biol. Databases Curation.

[7]  Gary D Bader,et al.  International network of cancer genome projects , 2010, Nature.

[8]  W. Hahn,et al.  Identification of an “Exceptional Responder” Cell Line to MEK1 Inhibition: Clinical Implications for MEK-Targeted Therapy , 2015, Molecular Cancer Research.

[9]  Suzanne Rose Huge Data-Sharing Project Launched. , 2016, Cancer discovery.

[10]  Steven J. M. Jones,et al.  Putative BRAF activating fusion in a medullary thyroid cancer , 2016, Cold Spring Harbor molecular case studies.

[11]  Alvis Brazma,et al.  Minimum Information About a Microarray Experiment (MIAME) – Successes, Failures, Challenges , 2009, TheScientificWorldJournal.

[12]  Hude Quan,et al.  The Development, Evolution, and Modifications of ICD-10: Challenges to the International Comparability of Morbidity Data , 2010, Medical care.

[13]  Heidi L Rehm,et al.  ClinGen--the Clinical Genome Resource. , 2015, The New England journal of medicine.

[14]  Funda Meric-Bernstam,et al.  The right drugs at the right time for the right patient: the MD Anderson precision oncology decision support platform. , 2015, Drug discovery today.

[15]  D. Orbach,et al.  Complete and Repeated Response of a Metastatic ALK-rearranged Inflammatory Myofibroblastic Tumor to Crizotinib in a Teenage Girl. , 2016, Journal of pediatric hematology/oncology.

[16]  Mingming Jia,et al.  COSMIC: exploring the world's knowledge of somatic mutations in human cancer , 2014, Nucleic Acids Res..

[17]  Jason E. Stewart,et al.  Minimum information about a microarray experiment (MIAME)—toward standards for microarray data , 2001, Nature Genetics.

[18]  Dennis C. Friedrich,et al.  Whole-exome sequencing and clinical interpretation of formalin-fixed , paraffin-embedded tumor samples to guide precision cancer medicine , 2014 .

[19]  Subha Madhavan,et al.  G-DOC: a systems medicine platform for personalized oncology. , 2011, Neoplasia.

[20]  Benjamin M. Good,et al.  Organizing knowledge to enable personalization of medicine in cancer , 2014, Genome Biology.

[21]  Amber M. Johnson,et al.  A decision support framework for genomically informed investigational cancer therapy. , 2015, Journal of the National Cancer Institute.

[22]  Obi L. Griffith,et al.  CIViC: A knowledgebase for expert-crowdsourcing the clinical interpretation of variants in cancer , 2016, bioRxiv.

[23]  Tao Wang,et al.  Diagnostic Yield of Clinical Tumor and Germline Whole-Exome Sequencing for Children With Solid Tumors. , 2016, JAMA oncology.

[24]  Benjamin E. Gross,et al.  The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. , 2012, Cancer discovery.

[25]  C. Sawyers The cancer biomarker problem , 2008, Nature.

[26]  G. Omenn,et al.  Evolution of Translational Omics: Lessons Learned and the Path Forward , 2013 .

[27]  Larry Wright,et al.  Overview and Utilization of the NCI Thesaurus , 2004, Comparative and functional genomics.

[28]  Rodrigo Dienstmann,et al.  Standardized decision support in next generation sequencing reports of somatic cancer variants , 2014, Molecular oncology.

[29]  S. Plon,et al.  Integrated tumor and germline whole-exome sequencing identifies mutations in MAPK and PI3K pathway genes in an adolescent with rosette-forming glioneuronal tumor of the fourth ventricle , 2016, Cold Spring Harbor molecular case studies.

[30]  Ricardo Villamarín-Salomón,et al.  ClinVar: public archive of interpretations of clinically relevant variants , 2015, Nucleic Acids Res..

[31]  Eliot Y. Zhu,et al.  Cancer Driver Log (CanDL): Catalog of Potentially Actionable Cancer Mutations. , 2015, The Journal of molecular diagnostics : JMD.

[32]  Subha Madhavan,et al.  Platform for Personalized Oncology: Integrative analyses reveal novel molecular signatures associated with colorectal cancer relapse. , 2013, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.