ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2018
ClinGen Cancer Somatic Working Group - standardizing and democratizing access to cancer molecular diagnostic data to drive translational research.
Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- An Analytical Approach that Combines Knowledge from Germline and Somatic Mutations Enhances Tumor Genomic Reanalyses in Precision Oncology.Journal of computational biology : a journal of computational molecular cell biology · 2025Article
- Assessing Protein Surface-Based Scoring for Interpreting Genomic Variants.International journal of molecular sciences · 2024Article
- CIViCdb 2022: evolution of an open-access cancer variant interpretation knowledgebase.Nucleic acids research · 2023Article
- A community approach to the cancer-variant-interpretation bottleneck.Nature cancer · 2022Article
- Article
- Collaborative, Multidisciplinary Evaluation of Cancer Variants Through Virtual Molecular Tumor Boards Informs Local Clinical Practices.JCO clinical cancer informatics · 2020Review
- Implementing the FAIR Data Principles in precision oncology: review of supporting initiatives.Briefings in bioinformatics · 2020Review
- Molecular profiling for precision cancer therapies.Genome medicine · 2020Review
- Evidence-Based Network Approach to Recommending Targeted Cancer Therapies.JCO clinical cancer informatics · 2020Article
- A virtual molecular tumor board to improve efficiency and scalability of delivering precision oncology to physicians and their patients.JAMIA open · 2019Article
- Integrated genomic profiling expands clinical options for patients with cancer.Nature biotechnology · 2019Article
- Clinically Integrated Molecular Diagnostics in Adenoid Cystic Carcinoma.The oncologist · 2019Article
- Variant Interpretation for Cancer (VIC): a computational tool for assessing clinical impacts of somatic variants.Genome medicine · 2019Article
- First Responder to Genomic Information: A Guide for Primary Care Providers.Molecular diagnosis & therapy · 2019Review
- UniProt genomic mapping for deciphering functional effects of missense variants.Human mutation · 2019Article
- Knowledge base toward understanding actionable alterations and realizing precision oncology.International journal of clinical oncology · 2019Review
- Variant information systems for precision oncology.BMC medical informatics and decision making · 2018Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
A growing number of academic and community clinics are conducting genomic testing to inform treatment decisions for cancer patients (1). 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 (2). The increasing availability and decreasing cost of tumor genomic profiling means that physicians can now make treatment decisions armed with patient-specific genetic information. Accumulating research in the cancer biology field indicates that there is significant potential to improve cancer patient outcomes by effectively leveraging this rich source of genomic data in treatment planning (3). To achieve truly personalized medicine in 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. One critical challenge to encoding variant data is adopting a standard of annotation of those variants that are clinically actionable. Through the NIH-funded Clinical Genome Resource (ClinGen) (4), in collaboration with NLM's ClinVar database and >50 academic and industry based cancer research organizations, we developed the Minimal Variant Level Data (MVLD) framework to standardize reporting and interpretation of drug associated alterations (5). We are currently involved in collaborative efforts to align the MVLD framework with parallel, complementary sequence variants interpretation clinical guidelines from the Association of Molecular Pathologists (AMP) for clinical labs (6). In order to truly democratize access to MolDx data for care and research needs, these standards must be harmonized to support sharing of clinical cancer variants. Here we describe the processes and methods developed within the ClinGen's Somatic WG in collaboration with over 60 cancer care and research organizations as well as CLIA-certified, CAP-accredited clinical testing labs to develop standards for cancer variant interpretation and sharing.
Indexed as
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29218886PMC5728662What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.