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Oncogenicity Scoring in VSClinical
Dr. Nathan Fortier, Director of Research
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Questions
NIH Grant Funding Acknowledgments
• Research reported in this publication was supported by the National Institute Of General Medical
Sciences of the National Institutes of Health under:
• Award Number R43GM128485-01
• Award Number R43GM128485-02
• Award Number 2R44 GM125432-01
• Award Number 2R44 GM125432-02
• Montana SMIR/STTR Matching Funds Program Grant Agreement Number 19-51-RCSBIR-005
• PI is Dr. Andreas Scherer, CEO Golden Helix.
• The content is solely the responsibility of the authors and does not necessarily represent the official
views of the National Institutes of Health.
Filtering and Annotation
ACMG Guidelines
Clinical Reports
CNV Analysis
Pipeline: Run Workflows
Variant Warehouse
Centralized Annotations
Hosted Reports
Sharing and Integration
CNV Analysis
GWAS | Genomic Prediction
Large-N Population Studies
RNA-Seq
Large-N CNV-Analysis
Who Are We?
Golden Helix is a global bioinformatics company
founded in 1998
Cited in 1,000s of Peer-Reviewed Publications
Over 400 Customers Globally
SIMPLE, SUBSCRIPTION-
BASED BUSINESS MODEL
o Yearly fee
o Unlimited training & support
SOFTWARE IS VETTED
o 20,000+ users at 400+ organizations
o Quality & feedback
DEEPLY ENGRAINED IN
SCIENTIFIC COMMUNITY
o Give back to the community
o Contribute content and support
INNOVATIVE SOFTWARE SOLUTIONS
o Cited in 1,000s of publications
When you choose Golden Helix,
you receive more than just the software
PDF
REPORT
WORD
REPORT
EXCEL
TABLE
B A M
Calling of CNVs
V C F
Annotating, filtering & prioritizing of
clinically relevant SNPs and CNVs
‐ Clinical interpretation of SNPs & CNVs
‐ ACMG & AMP guidelines assessing
germline and somatic variations
‐ Clinical reporting
Hallmarks of Cancer
▪ Engines of Cancers
- Understanding cancer in a patient requires
understanding its underlying biology
- Multiple hallmarks are required for tumorigenesis
▪ A Disease of the Genome
- A given cancer gene plays a role in promoting or
suppressing one or more of these hallmarks
- Genomic mutations enable hallmarks by:
- Gain of function of a Oncogene
- Loss of function of a Tumor Suppressor Gene (TSG)
Hanahan D., Weinberg R.A. Hallmarks of Cancer: The next generation. Cell . 2011; 144:646–674
Tate J et al. COSMIC: the Catalogue Of Somatic Mutations In Cancer, Nucleic Acids Research, Volume 47, Issue D1, 08 January 2019
Hallmarks for PTEN:
Biomarkers
▪ Testable Biological Markers
- Biomarkers are biological states or measurements
that provide indications for treatment, prognostic or
diagnostic outcomes
- Range from presence or absence of proteins,
antigens and specific genomic attributes of the
tumor.
▪ Common Cancer Biomarkers Examples
- HER2+: High levels of HER2 receptor protein
- MSI-H: Microsatellite instability-high
- BRAFV600E: Presence of activating mutation V600E
- ERBB2Amp: Amplification of ERBB2
- BCR-ABL1: Activation of ABL1 through fusion with BCR
- TP53WT: No significant alterations of critical TSG
Haroche J. et al. Dramatic efficacy of vemurafenib in both
multisystemic and refractory Erdheim-Chester disease and
Langerhans cell histiocytosis harboring the BRAF V600E
mutation. Blood 2013 121
Evidence Levels and Tiers
VSClincial AMP Workflow
• Evaluate Which Variants to Report
• Classify Evidence Following AMP Guidelines
• Your Interpretations Saved & Re-Used
• Built In Auto-Scoring of Somatic & Germline
(ACMG Guideline) Variants
• Integrated Reporting
• Results: Comprehensive, Consistent, Efficient
Clinical
Report
Outline
Results
Biomarkers
Secondary Germline
Variants of Unknown
Significance
Coverage Report
References
Oncogenicity Scale
Oncogenic
Likely
Oncogenic
Likely
BenignBenign
-5 0 +3 +5-4 +2-2 +1 +4-1-3
Variant of
Unknown
Significance
• Germline Population Catalogs
• In-Silico Functional/Splicing
• Previous / Clinical Evaluations
• Somatic Catalogs
• Domain / Hotspot Analysis
• Gene Affinity to Variant Type
Oncogenicity Scoring
Applies To Criteria -5B -3B -2B -1B +1O +2O +3O
All
Population Frequency -5 -3 -1
Homozygous in Controls -2 -1
In Somatic Catalogs +1 +2 +3
Relevant Variant Assessments -1 +2 +3
Null
Damaging LoF +1 +2
LoF are Oncogenic Mutations in Gene +1
Missense
Nearby Pathogenic Missense Variants +2
In-Frame not in Repeat Region +1
Somatic Hotspot & Active Binding Sites +1 +2
Non-Null Computational Evidence -1 +1
All Splice Site Prediction +1 +2
Non-Coding Silent, Intronic, UTR, Intergenic Variants w/ No Splice Effect -3
Project Demonstration
Upcoming Webcasts
• August: Using VSClinical AMP Guidelines to Perform Cancer Testing
• Reporting Secondary Germline findings using ACMG guidelines
• Customizing clinical report to match the requirements of your lab
• Dr. Eli Sward, Field Application Scientist
• September: Cancer Interpretation Reuse and Golden Helix CancerKB
• Saving and re-using interpretations with your own lab knowledgebase
• Starting with 80% of your report written with Golden Helix CancerKB
• Gabe Rudy, VP Product & Engineering
NIH Grant Funding Acknowledgments
• Research reported in this publication was supported by the National Institute Of General Medical
Sciences of the National Institutes of Health under:
• Award Number R43GM128485-01
• Award Number R43GM128485-02
• Award Number 2R44 GM125432-01
• Award Number 2R44 GM125432-02
• Montana SMIR/STTR Matching Funds Program Grant Agreement Number 19-51-RCSBIR-005
• PI is Dr. Andreas Scherer, CEO Golden Helix.
• The content is solely the responsibility of the authors and does not necessarily represent the official
views of the National Institutes of Health.
Questions
EXTENDED Limited Time Offer
15-months of VSClinical +Cancer Add-On
with a one-year license purchase
Ends on Labor Day, Sept 2, 2019
To learn more, mention it in the Q&A pane, reach out to your Area
Director, or email info@goldenhelix.com.
New eBooks
We released two new eBooks – download
your complimentary copies!
bit.ly/ghiebooks
Questions

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Oncogenicity Scoring in VSClinical

  • 1. Oncogenicity Scoring in VSClinical Dr. Nathan Fortier, Director of Research 20 Most Promising Biotech Technology Providers Top 10 Analytics Solution Providers Hype Cycle for Life sciences
  • 3. NIH Grant Funding Acknowledgments • Research reported in this publication was supported by the National Institute Of General Medical Sciences of the National Institutes of Health under: • Award Number R43GM128485-01 • Award Number R43GM128485-02 • Award Number 2R44 GM125432-01 • Award Number 2R44 GM125432-02 • Montana SMIR/STTR Matching Funds Program Grant Agreement Number 19-51-RCSBIR-005 • PI is Dr. Andreas Scherer, CEO Golden Helix. • The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
  • 4. Filtering and Annotation ACMG Guidelines Clinical Reports CNV Analysis Pipeline: Run Workflows Variant Warehouse Centralized Annotations Hosted Reports Sharing and Integration CNV Analysis GWAS | Genomic Prediction Large-N Population Studies RNA-Seq Large-N CNV-Analysis Who Are We? Golden Helix is a global bioinformatics company founded in 1998
  • 5. Cited in 1,000s of Peer-Reviewed Publications
  • 7. SIMPLE, SUBSCRIPTION- BASED BUSINESS MODEL o Yearly fee o Unlimited training & support SOFTWARE IS VETTED o 20,000+ users at 400+ organizations o Quality & feedback DEEPLY ENGRAINED IN SCIENTIFIC COMMUNITY o Give back to the community o Contribute content and support INNOVATIVE SOFTWARE SOLUTIONS o Cited in 1,000s of publications When you choose Golden Helix, you receive more than just the software
  • 8. PDF REPORT WORD REPORT EXCEL TABLE B A M Calling of CNVs V C F Annotating, filtering & prioritizing of clinically relevant SNPs and CNVs ‐ Clinical interpretation of SNPs & CNVs ‐ ACMG & AMP guidelines assessing germline and somatic variations ‐ Clinical reporting
  • 9. Hallmarks of Cancer ▪ Engines of Cancers - Understanding cancer in a patient requires understanding its underlying biology - Multiple hallmarks are required for tumorigenesis ▪ A Disease of the Genome - A given cancer gene plays a role in promoting or suppressing one or more of these hallmarks - Genomic mutations enable hallmarks by: - Gain of function of a Oncogene - Loss of function of a Tumor Suppressor Gene (TSG) Hanahan D., Weinberg R.A. Hallmarks of Cancer: The next generation. Cell . 2011; 144:646–674 Tate J et al. COSMIC: the Catalogue Of Somatic Mutations In Cancer, Nucleic Acids Research, Volume 47, Issue D1, 08 January 2019 Hallmarks for PTEN:
  • 10. Biomarkers ▪ Testable Biological Markers - Biomarkers are biological states or measurements that provide indications for treatment, prognostic or diagnostic outcomes - Range from presence or absence of proteins, antigens and specific genomic attributes of the tumor. ▪ Common Cancer Biomarkers Examples - HER2+: High levels of HER2 receptor protein - MSI-H: Microsatellite instability-high - BRAFV600E: Presence of activating mutation V600E - ERBB2Amp: Amplification of ERBB2 - BCR-ABL1: Activation of ABL1 through fusion with BCR - TP53WT: No significant alterations of critical TSG Haroche J. et al. Dramatic efficacy of vemurafenib in both multisystemic and refractory Erdheim-Chester disease and Langerhans cell histiocytosis harboring the BRAF V600E mutation. Blood 2013 121
  • 12. VSClincial AMP Workflow • Evaluate Which Variants to Report • Classify Evidence Following AMP Guidelines • Your Interpretations Saved & Re-Used • Built In Auto-Scoring of Somatic & Germline (ACMG Guideline) Variants • Integrated Reporting • Results: Comprehensive, Consistent, Efficient Clinical Report Outline Results Biomarkers Secondary Germline Variants of Unknown Significance Coverage Report References
  • 13. Oncogenicity Scale Oncogenic Likely Oncogenic Likely BenignBenign -5 0 +3 +5-4 +2-2 +1 +4-1-3 Variant of Unknown Significance • Germline Population Catalogs • In-Silico Functional/Splicing • Previous / Clinical Evaluations • Somatic Catalogs • Domain / Hotspot Analysis • Gene Affinity to Variant Type
  • 14. Oncogenicity Scoring Applies To Criteria -5B -3B -2B -1B +1O +2O +3O All Population Frequency -5 -3 -1 Homozygous in Controls -2 -1 In Somatic Catalogs +1 +2 +3 Relevant Variant Assessments -1 +2 +3 Null Damaging LoF +1 +2 LoF are Oncogenic Mutations in Gene +1 Missense Nearby Pathogenic Missense Variants +2 In-Frame not in Repeat Region +1 Somatic Hotspot & Active Binding Sites +1 +2 Non-Null Computational Evidence -1 +1 All Splice Site Prediction +1 +2 Non-Coding Silent, Intronic, UTR, Intergenic Variants w/ No Splice Effect -3
  • 16. Upcoming Webcasts • August: Using VSClinical AMP Guidelines to Perform Cancer Testing • Reporting Secondary Germline findings using ACMG guidelines • Customizing clinical report to match the requirements of your lab • Dr. Eli Sward, Field Application Scientist • September: Cancer Interpretation Reuse and Golden Helix CancerKB • Saving and re-using interpretations with your own lab knowledgebase • Starting with 80% of your report written with Golden Helix CancerKB • Gabe Rudy, VP Product & Engineering
  • 17. NIH Grant Funding Acknowledgments • Research reported in this publication was supported by the National Institute Of General Medical Sciences of the National Institutes of Health under: • Award Number R43GM128485-01 • Award Number R43GM128485-02 • Award Number 2R44 GM125432-01 • Award Number 2R44 GM125432-02 • Montana SMIR/STTR Matching Funds Program Grant Agreement Number 19-51-RCSBIR-005 • PI is Dr. Andreas Scherer, CEO Golden Helix. • The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
  • 19. EXTENDED Limited Time Offer 15-months of VSClinical +Cancer Add-On with a one-year license purchase Ends on Labor Day, Sept 2, 2019 To learn more, mention it in the Q&A pane, reach out to your Area Director, or email info@goldenhelix.com.
  • 20. New eBooks We released two new eBooks – download your complimentary copies! bit.ly/ghiebooks