4.7 Article

Patient-derived organoids as a preclinical platform for precision medicine in colorectal cancer

Journal

MOLECULAR ONCOLOGY
Volume 16, Issue 12, Pages 2396-2412

Publisher

WILEY
DOI: 10.1002/1878-0261.13144

Keywords

colorectal cancer; drug repurposing; organoid score; patient-derived organoids; progression prediction

Categories

Funding

  1. Korea Health Technology R&D Project through the Korea Health Industry Development Institute - Ministry of Health Welfare [HI14C1277, HI18C2282, 2016M3A9B6026918, 2017M3A9A7050610, 2017M3C9A5029978]
  2. National Research Foundation of Korea [2017M3A9A7050610, 2017M3C9A5029978, 2016M3A9B6026918] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This study investigated the correlation between drug responses in patient-derived organoids and clinical responses of matched patients and disease progression. The organoid score based on drug response in organoids was found to be significantly correlated with tumor regression rate and progression-free survival in patients. The study also demonstrated the potential of using organoids for drug repurposing and personalized therapy for colorectal cancer patients.
Patient-derived organoids are being considered as models that can help guide personalized therapy through in vitro anticancer drug response evaluation. However, attempts to quantify in vitro drug responses in organoids and compare them with responses in matched patients remain inadequate. In this study, we investigated whether drug responses of organoids correlate with clinical responses of matched patients and disease progression of patients. Organoids were established from 54 patients with colorectal cancer who (except for one patient) did not receive any form of therapy before, and tumor organoids were assessed through whole-exome sequencing. For comparisons of in vitro drug responses in matched patients, we developed an 'organoid score' based on the variable anticancer treatment responses observed in organoids. Very interestingly, a higher organoid score was significantly correlated with a lower tumor regression rate after the standard-of-care treatment in matched patients. Additionally, we confirmed that patients with a higher organoid score (>= 2.5) had poorer progression-free survival compared with those with a lower organoid score (< 2.5). Furthermore, to assess potential drug repurposing using an FDA-approved drug library, ten tumor organoids derived from patients with disease progression were applied to a simulation platform. Taken together, organoids and organoid scores can facilitate the prediction of anticancer therapy efficacy, and they can be used as a simulation model to determine the next therapeutic options through drug screening. Organoids will be an attractive platform to enable the implementation of personalized therapy for colorectal cancer patients.

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