Childhood Cancer Data Initiative Annual Symposium (Abstract Registration): Submission #65

serial: '65'
sid: '150963'
uuid: 7789d6fc-1299-408a-8bdc-d4de3ce112ba
uri: /nci/ccdisymposium/abstract
created: '1757019319'
completed: '1757019628'
changed: '1757019628'
in_draft: '0'
current_page: ''
remote_addr: 10.208.28.132
uid: '1112'
langcode: en
webform_id: ccdi_symposium_abstract
entity_type: node
entity_id: '2139'
locked: '0'
sticky: '0'
notes: ''
metatag: meta
data:
  authors_:
    - add_author_degree: PhD
      add_author_first_name: Michael
      add_author_last_name: Watkins
      add_author_middle: ''
      add_author_organization: 'University of Chicago'
    - add_author_degree: ''
      add_author_first_name: Brian
      add_author_last_name: Furner
      add_author_middle: ''
      add_author_organization: 'University of Chicago'
    - add_author_degree: 'MD, PhD'
      add_author_first_name: Samuel
      add_author_last_name: Volchenboum
      add_author_middle: ''
      add_author_organization: 'University of Chicago'
    - add_author_degree: PhD
      add_author_first_name: Patrick
      add_author_last_name: Dunn
      add_author_middle: ''
      add_author_organization: 'Frederick National Laboratory for Cancer Research'
    - add_author_degree: PhD
      add_author_first_name: Sean
      add_author_last_name: Burke
      add_author_middle: ''
      add_author_organization: 'Frederick National Laboratory for Cancer Research'
    - add_author_degree: ''
      add_author_first_name: Maureen
      add_author_last_name: Ryan
      add_author_middle: ''
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: ''
      add_author_first_name: Janice
      add_author_last_name: Knable
      add_author_middle: ''
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: PharmD
      add_author_first_name: Austin
      add_author_last_name: Fitts
      add_author_middle: ''
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: PhD
      add_author_first_name: Subhashini
      add_author_last_name: Jagu
      add_author_middle: ''
      add_author_organization: 'National Cancer Institute'
  abstract: 'The Childhood Cancer Clinical Data Commons (C3DC) is an important addition to the CCDI Data Ecosystem. With its 6th release in June 2025, its available data currently includes 18,594 participants from the Molecular Characterization Initiative (MCI) and the TARGET Initiative. The scope of the data has initially been limited to disease site and diagnosis, treatment types and agents, treatment response, and survival status. However, recent modeling has been undertaken in order to augment this data with genetic findings. The C3DC data model is adapted from the Data for the Common Good (D4CG) Pediatric Cancer Data Commons (PCDC) data model, which was built through iterative consensus by dozens of international oncology subject matter experts. The source format of clinical genomic data varies greatly depending on the specific test/panel and the proprietary structure/format of the test reports that each laboratory uses. This model is able to accommodate genetic findings at three general levels of granularity. The least granular is simply a test name and an unstructured text blob of results. The middle level (which we have seen to be the most common) also includes a test name and unstructured results, but adds additional fields for the standardized representation of the specific alterations in either ISCN (chromosomal) or HGVS (genic) nomenclatures. The most granular is to represent the elements of the unstructured text blob as discrete fields in addition to the ISCN or HGVS strings. These fields cover a wide breadth of information, from copy number status to allele frequency.'
  abstract_file: '82862'
  abstract_title_: 'Genetic Data Modeling for the Childhood Cancer Clinical Data Commons (C3DC)'
  email_address_: bfurner@bsd.uchicago.edu
  institution_: 'University of Chicago'
  presenting_author_: 'Brian Furner'