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

IF 29.7 1区 医学 Q1 ONCOLOGY
Tadayoshi Hashimoto, Yoshiaki Nakamura, Takao Fujisawa, Mitsuho Imai, Taro Shibuki, Naoko Iida, Hiroshi Ozaki, Norio Nonomura, Chigusa Morizane, Hiroji Iwata, Susumu Okano, Wataru Yamagami, Naoya Yamazaki, Shigenori Kadowaki, Hiroya Taniguchi, Makoto Ueno, Shogen Boku, Eiji Oki, Yoshito Komatsu, Satoshi Yuki, Akitaka Makiyama, Tomoyuki Otsuka, Hiroki Hara, Naohiro Okano, Tomohiro Nishina, Yasutoshi Sakamoto, Izumi Miki, Shin Kobayashi, Junichiro Yuda, Shun-Ichiro Kageyama, Michiko Nagamine, Shingo Sakashita, Naoya Sakamoto, Riu Yamashita, Yoshikatsu Koga, Hideaki Bando, Genichiro Ishii, Takeshi Kuwata, Woong-Yang Park, Atsushi Ohtsu, Takayuki Yoshino
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引用次数: 0

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.

SCRUM-MONSTAR 癌症-肿瘤生态系统:努力实现精准医学的飞跃。
SCRUM-Japan MONSTAR-SCREEN 联合体是一个全国性的分子图谱分析项目,采用人工智能驱动的多组学分析方法对晚期恶性肿瘤患者进行分析,旨在开发新型疗法和诊断方法,并向患者提供有效的药物。与此同时,包括 CIRCULATE-Japan 在内的针对可切除实体瘤的基于分子残留病的精准医疗评估研究也在进行中。这些平台产生的大量数据存储在最先进的超级计算基础设施VAPOR CONE中。自2015年以来,截至2023年12月,我们的项目已登记了超过24000名患者。在MONSTAR-SCREEN项目登记的16144名晚期实体瘤患者中,5.0%参加了匹配临床试验,结果显示,接受匹配临床试验治疗的患者客观反应率为29.2%,中位生存期为14.8个月(95%置信区间,13.4-16.3)。值得注意的是,与未接受匹配治疗的患者相比,接受匹配治疗的患者总生存期明显延长(危险比为 0.77;95% 置信区间为 0.71-0.83)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancer discovery
Cancer discovery ONCOLOGY-
CiteScore
22.90
自引率
1.40%
发文量
838
审稿时长
6-12 weeks
期刊介绍: Cancer Discovery publishes high-impact, peer-reviewed articles detailing significant advances in both research and clinical trials. Serving as a premier cancer information resource, the journal also features Review Articles, Perspectives, Commentaries, News stories, and Research Watch summaries to keep readers abreast of the latest findings in the field. Covering a wide range of topics, from laboratory research to clinical trials and epidemiologic studies, Cancer Discovery spans the entire spectrum of cancer research and medicine.
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