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SCRUM-Japan GI-SCREEN and MONSTAR-SCREEN: Path to the realization of biomarker-guided precision oncology in advanced

Yoshiaki Nakamura1,2, Takao Fujisawa2,3, Hiroya Taniguchi1,2,4

  • 1Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan.

Cancer Science
|September 12, 2021
PubMed

Insights

The SCRUM-Japan GI-SCREEN and MONSTAR-SCREEN platforms efficiently screen gastrointestinal cancer patients for precision oncology trials. These initiatives accelerate targeted therapy development and approvals for advanced solid tumors.

Area of Science:

  • Oncology
  • Genomics
  • Clinical Trials

Background:

  • Comprehensive genomic profiling identifies biomarkers in advanced solid tumors.
  • Patient screening for precision oncology faces challenges like cost and therapy access.
  • The SCRUM-Japan network initiated projects to overcome these barriers.

Purpose of the Study:

  • To describe the development and impact of the SCRUM-Japan GI-SCREEN and MONSTAR-SCREEN platforms.
  • To highlight the role of these platforms in advancing precision oncology for advanced solid tumors.
  • To showcase the successful integration of multiomics and clinical trials.

Main Methods:

  • Launched GI-SCREEN nationwide project in 2015 for gastrointestinal cancer genomic screening.
  • Initiated GOZILA, MONSTAR-SCREEN-1, and MONSTAR-SCREEN-2 using tissue and plasma multiomics.
  • Utilized clinicogenomic analyses of the SCRUM-Japan database.

Main Results:

  • Increased patient participation in targeted clinical trials.
  • Led to the approval of several therapeutics and companion diagnostics.
  • Provided new insights into molecular mechanisms of advanced solid tumors.

Conclusions:

  • The SCRUM-Japan platforms have facilitated the realization of cancer precision medicine.
  • These initiatives demonstrate a successful model for matching patients to targeted therapies.
  • Continued use of these platforms will drive further advancements in oncology.
Keywords:
circulating tumor DNAmultiomicsnext-generation sequencingprecision oncologyreal-world data

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