Childhood Cancer Data Initiative Annual Symposium (Abstract Registration): Submission #59

Submission information
Submission Number: 59
Submission ID: 150490
Submission UUID: a536d34d-7419-40b2-88d3-29ab3407dfe6

Created: Mon, 09/01/2025 - 20:30
Completed: Mon, 09/01/2025 - 21:17
Changed: Mon, 09/01/2025 - 21:17

Remote IP address: 10.208.28.30
Submitted by: Anonymous
Language: English

Is draft: No
serial: '59'
sid: '150490'
uuid: a536d34d-7419-40b2-88d3-29ab3407dfe6
uri: /nci/ccdisymposium/abstract
created: '1756773027'
completed: '1756775859'
changed: '1756775859'
in_draft: '0'
current_page: ''
remote_addr: 10.208.28.30
uid: '0'
langcode: en
webform_id: ccdi_symposium_abstract
entity_type: node
entity_id: '2139'
locked: '0'
sticky: '0'
notes: ''
metatag: meta
data:
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    - add_author_degree: M.S.
      add_author_first_name: Ritika
      add_author_last_name: Kundra
      add_author_middle: ''
      add_author_organization: MSK
    - add_author_degree: M.S.
      add_author_first_name: Rima
      add_author_last_name: AlHamad
      add_author_middle: ''
      add_author_organization: MSK
    - add_author_degree: M.S.
      add_author_first_name: Robert
      add_author_last_name: Sheridan
      add_author_middle: ''
      add_author_organization: MSK
    - add_author_degree: M.S.
      add_author_first_name: Manda
      add_author_last_name: Wilson
      add_author_middle: ''
      add_author_organization: MSK
    - add_author_degree: M.S.
      add_author_first_name: Avery
      add_author_last_name: Wang
      add_author_middle: ''
      add_author_organization: MSK
    - add_author_degree: B.S.
      add_author_first_name: Benjamin
      add_author_last_name: Preiser
      add_author_middle: ''
      add_author_organization: MSK
    - add_author_degree: M.S.
      add_author_first_name: Benjamin
      add_author_last_name: Gross
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      add_author_first_name: Kelly
      add_author_last_name: Cavender
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      add_author_first_name: Sarah
      add_author_last_name: Suehnholz
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    - add_author_degree: M.S.
      add_author_first_name: Ramyasree
      add_author_last_name: Madupuri
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      add_author_first_name: Baby
      add_author_last_name: Satravada
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      add_author_first_name: Aijaz
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      add_author_first_name: Tali
      add_author_last_name: Mazor
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      add_author_first_name: Ethan
      add_author_last_name: Cerami
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    - add_author_degree: 'M.D., Ph.D.'
      add_author_first_name: Justin
      add_author_last_name: Jee
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    - add_author_degree: Ph.D.
      add_author_first_name: Christopher
      add_author_last_name: Fong
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      add_author_first_name: Michele
      add_author_last_name: Waters
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      add_author_first_name: Michael
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      add_author_first_name: Nikolaus
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  abstract: |-
    OncoTree is an open source, publicly accessible, community driven cancer classification system developed by Memorial Sloan Kettering Cancer Center and maintained by a cross-institutional committee of oncologists, pathologists, scientists, and engineers (OncoTree committee). Accessible through an intuitive web interface and API, OncoTree provides a structured hierarchical framework that standardizes cancer types, thereby supporting accurate diagnosis, therapeutic decision making, and data harmonization. Since its inception, OncoTree has grown to include over 900 tumor types, mapped to external terminologies such as NCI Thesaurus and UMLS, and is updated to align with standards like the World Health Organization (WHO) classification of tumors. All updates are publicly released with versioning, mapping tools, and detailed documentation to ensure transparency and reproducibility.

    Initially focused on adult malignancies, OncoTree is now undergoing concentrated efforts to expand and refine its pediatric classification nodes. Pediatric cancers are biologically and clinically distinct from adult tumors, presenting unique challenges for classification. The pediatric extension of OncoTree aims to comprehensively represent childhood malignancies by incorporating WHO pediatric classifications, capturing rare and developmentally driven tumor entities, and restructuring ontology branches to better reflect pediatric tumor biology. This effort includes mapping diagnoses across ontology versions and external terminologies, identifying coverage gaps, and implementing systematic revisions under the governance of the OncoTree committee.

    With clear documentation with release notes, source references, and support tools, this pediatric expansion will deliver a well-organized, transparent framework that improves the consistency of tumor classification, facilitates cross-study analyses, and strengthens the evidence base for clinical decision-making in childhood cancer care.
  abstract_title_: 'Pediatric Extension of OncoTree: An Open-Source, Cancer Classification System'
  email_address_: kundrar@mskcc.org
  institution_: 'Memorial Sloan Kettering'
  presenting_author_: 'Ritika Kundra'