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  11. Reporting Tumor Genomic Test Results To Seer Registries Via Linkages

Reporting tumor genomic test results to SEER registries via linkages

Valentina I Petkov1, Jung S Byun1, Kevin C Ward2

  • 1Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.

Journal of the National Cancer Institute. Monographs
|August 5, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

The National Cancer Institute

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Area of Science:

  • Cancer surveillance
  • Genomic data integration
  • Population health research

Background:

  • Precision medicine is crucial in cancer care.
  • The National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) Program lacks comprehensive tumor genomic data.
  • This data gap hinders population-based research on molecular subtypes.

Purpose of the Study:

  • To establish a centralized process for linking SEER cancer cases with molecular test results.
  • To enhance cancer surveillance data with crucial genomic information.
  • To facilitate population-based research on cancer molecular subtypes.

Main Methods:

  • Utilized established operating procedures for centralized data linkages.
  • Employed Match*Pro probabilistic linkage software.
  • Leveraged a trusted third-party honest broker for facilitation.

Main Results:

  • Successfully linked SEER tumor cases with various genomic test results.
  • Included OncotypeDX Breast Recurrence Score, OncotypeDX Breast Ductal Carcinoma in Situ, OncotypeDX Genomic Prostate Score, Decipher Prostate Genomic Classifier, and DecisionDX melanoma tests.
  • Incorporated germline test results from Georgia and California SEER registries.

Conclusions:

  • Linking SEER cancer cases with genomic test results is an effective data collection strategy for cancer surveillance.
  • The National Cancer Institute's SEER Program provides de-identified data for extensive research.
  • Enables scientists to address diverse research questions in cancer genomics and epidemiology.