Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer.

Cell Rep Med, 2023/12/19;4(12):101335.

Tan T[1], Mouradov D[1], Lee M[2], Gard G[3], Hirokawa Y[4], Li S[4], Lin C[5], Li F[5], Luo H[5], Wu K[5], Palmieri M[1], Leong E[4], Clarke J[4], Sakthianandeswaren A[1], Brasier H[4], Tie J[6], Tebbutt NC[7], Jalali A[8], Wong R[9], Burgess AW[10], Gibbs P[6], Sieber OM[11]

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PMID: 38118423DOI: 10.1016/j.xcrm.2023.101335

Impact factor: 16.988

Abstract
Predictive drug testing of patient-derived tumor organoids (PDTOs) holds promise for personalizing treatment of metastatic colorectal cancer (mCRC), but prospective data are limited to chemotherapy regimens with conflicting results. We describe a unified framework for PDTO-based predictive testing across standard-of-care chemotherapy and biologic and targeted therapy options. In an Australian community cohort, PDTO predictions based on treatment-naive patients (n = 56) and response rates from first-line mCRC clinical trials achieve 83% accuracy for forecasting responses in patients receiving palliative treatments (18 patients, 29 treatments). Similar assay accuracy is achieved in a prospective study of third-line or later mCRC treatment, AGITG FORECAST-1 (n = 30 patients). "Resistant" predictions are associated with inferior progression-free survival; misclassification rates are similar by regimen. Liver metastases are the optimal site for sampling, with testing achievable within 7 weeks for 68.8% cases. Our findings indicate that PDTO drug panel testing can provide predictive information for multifarious standard-of-care therapies for mCRC.

Keywords: colorectal cancer; patient-derived tumor organoid; precision medicine; predictive drug testing

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