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

AI Article Synopsis

  • The SCRUM-Japan MONSTAR-SCREEN consortium is conducting a nationwide project that uses AI and multi-omics analyses for molecular profiling in patients with advanced cancers, aiming to create new treatments and diagnostics.
  • The project includes the CIRCULATE-Japan study, focusing on precision medicine for resectable solid tumors and requires substantial data storage in a high-tech supercomputing system called VAPOR CONE.
  • As of December 2023, over 24,000 patients have been registered, with 5.0% of those in advanced solid tumors participating in matched clinical trials, showing a 29.2% response rate and significantly improved survival rates compared to those not receiving matched therapies.

Article Abstract

The SCRUM-Japan MONSTAR-SCREEN consortium is a nationwide molecular profiling project employing artificial intelligence-driven multiomics analyses for patients with advanced malignancies, aiming to develop novel therapeutics and diagnostics and deliver effective drugs to patients. Concurrently, studies assessing molecular residual disease-based precision medicine for resectable solid tumors, including CIRCULATE-Japan, are ongoing. The substantial data generated by these platforms are stored within a state-of-the-art supercomputing infrastructure, VAPOR CONE. Since 2015, our project has registered over 24,000 patients as of December 2023. Among 16,144 patients with advanced solid tumors enrolled in MONSTAR-SCREEN projects, 5.0% have participated in matched clinical trials, demonstrating a 29.2% objective response rate and 14.8-month median survival (95% CI, 13.4-16.3) for patients treated in the matched clinical trials. Notably, patients who received matched therapy demonstrated significantly prolonged overall survival compared with those who did not (hazard ratio 0.77; 95% confidence interval, 0.71-0.83). Significance: Our nationwide molecular profiling initiative played pivotal roles in facilitating the enrollment of patients with advanced solid tumors into matched clinical trials and highlighted the substantial survival benefits of patients treated with matched therapy. We aim to facilitate an industry-academia data-sharing infrastructure ecosystem, fostering new drug discovery paradigms and precision medicine.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11528206PMC
http://dx.doi.org/10.1158/2159-8290.CD-24-0206DOI Listing

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