The SCRUM-MONSTAR Cancer-Omics Ecosystem: Striving for a Quantum Leap in Precision Medicine

Tadayoshi Hashimoto1,2, Yoshiaki Nakamura1,2, Takao Fujisawa1,3

  • 1Translational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.

Cancer Discovery
|July 18, 2024
PubMed

Insights

The SCRUM-Japan MONSTAR-SCREEN project uses AI-driven multiomics to match advanced cancer patients to clinical trials. Matched therapy significantly improved overall survival, demonstrating the value of precision medicine in oncology.

Area of Science:

  • Oncology
  • Genomics
  • Artificial Intelligence

Background:

  • Advanced malignancies pose significant treatment challenges.
  • Precision medicine approaches are crucial for improving patient outcomes.

Purpose of the Study:

  • To evaluate the effectiveness of artificial intelligence-driven multiomics for molecular profiling in advanced cancer patients.
  • To assess the impact of matched clinical trial therapy on patient survival.
  • To establish an industry-academia data-sharing infrastructure for drug discovery.

Main Methods:

  • Nationwide molecular profiling using artificial intelligence-driven multiomics (MONSTAR-SCREEN).
  • Analysis of data from over 24,000 registered patients.
  • Comparison of outcomes for patients receiving matched therapy versus those who did not.

Main Results:

  • 5.0% of 16,144 advanced solid tumor patients enrolled in matched clinical trials.
  • Objective response rate of 29.2% and median survival of 14.8 months in matched trials.
  • Significantly prolonged overall survival for patients receiving matched therapy (HR 0.77).

Conclusions:

  • Nationwide molecular profiling facilitates patient enrollment into matched clinical trials.
  • Matched therapy offers substantial survival benefits for patients with advanced solid tumors.
  • An industry-academia data-sharing ecosystem can foster new drug discovery and precision medicine.

Related Concept Videos

Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
4.9K
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.2K
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
336