A Comprehensive Ontology of Hematology/Oncology Regimens

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A Comprehensive Ontology of Hematology/Oncology Regimens Jeremy L. Warner MD, MS June 12, 2018 NAACCR Annual Meeting

Transcript of A Comprehensive Ontology of Hematology/Oncology Regimens

Page 1: A Comprehensive Ontology of Hematology/Oncology Regimens

A Comprehensive Ontology of

Hematology/Oncology Regimens

Jeremy L. Warner MD, MSJune 12, 2018

NAACCR Annual Meeting

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Chemotherapy regimens

• Systemic cancer treatment is context specific, with complex multidrug regimens in many cases.

• We have been building a comprehensive, freely available website containing such information, HemOnc.org, since 2011.

• 84% of the distinct regimens on HemOnc.org have more than one antineoplastic component.

• While some chemotherapy regimen information is captured in standard ontologies (e.g., the NCI Thesaurus, SEER*Rx), this area of oncology is mostly non-standardized.

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HemOnc.org

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The case for a new ontology derived from HemOnc.org

NCI Thesaurus:

Incomplete: many other treatment settings

Underspecified: • Context for accepted use• Supportive medications• Substitutions (e.g., prednisolone)• Supportive evidence (i.e., references)

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Are these the same?

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HemOnc.org Ontology version 2018-05-08

• 171,865 axioms• 25,406 individuals (drugs, regimens, authors, etc.)

o 1,275 distinct treatment regimenso 2,827 referenceso 20,778 authors

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Availability

http://ascopubs.org/doi/abs/10.1200/CCI.17.00142

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Anti-CD20 antibodies

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Drug example: Rituximab

29 classifications16 alias concepts1 standard mapping (to RxNorm)

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Published in: Andrew M. Malty; Sandeep K. Jain; Peter C. Yang; Krysten Harvey; Jeremy L. Warner; JCO Clinical Cancer Informatics 2018, 2, 1-11.Copyright © 2018 American Society of Clinical Oncology

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Regimen example: R-CHOP

4 alias concepts16 classifications20 treatment components42 references

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Published in: Andrew M. Malty; Sandeep K. Jain; Peter C. Yang; Krysten Harvey; Jeremy L. Warner; JCO Clinical Cancer Informatics 2018, 2, 1-11.Copyright © 2018 American Society of Clinical Oncology

Even a concept as seeminglysimple as R-CHOP is quitecomplex!

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Regimens by class(May 2018)

Class of regimen No. of distinct regimensChemotherapy 1,029Chemoimmunotherapy 26Chemoradiotherapy 79Endocrine therapy 37Growth factor therapy 10Immunosuppressive therapy 25Immunotherapy 29Radiotherapy 31Other 103

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Drug annotations(May 2018)

Annotation Number of instancesRxNorm 343Drug_Code_Name 253Drug_Generic_Name 283Drug_Brand_Name 1,107Drug_Brand_Name_Preferred 246Drug_Alias 2,796

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Regimen annotations(May 2018)

Annotation Number of instancesregimen 1,275biomarker 102empty 97historical 126Regimen_Alias 418

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Next steps

• Complete the elimination of duplicative regimen names

• Classify “other regimens” to the extent possible

• Add a preferred name term to all individual entities

• Add expected duration of treatment property

• Add an annotation for regimens that are not stand-alone (i.e., they’re a component of a multipart treatment protocol under certain circumstances)

• Store cooperative group information separately, when it occurs (e.g., ECOG, CALGB, Intergroup, etc.)

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Acknowledgements

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• Collaborators– Krysten Harvey, BS– Sandeep Jain, MD– Andrew Malty– Peter Yang, MD

• DeepPhe and CLAMP teams– Hua Xu, PhD (MPI)– Ergin Soysal, PhD– Liwei Wang, MD PhD– Elizabeth Sigworth, BS– Chenjie Zeng, PhD

• Licensees– Boston Children’s– Dana-Farber– EMBL-EBI– Mayo Clinic– Northwestern Univ.– OHDSI– UAMS– Univ. of Illinois– Univ. of Pennsylvania

• Grant Funding– L30 CA171123– U24 CA184407– U24 CA194215– GM10331601