Functional Personalized Oncology To Determine Drug Sensitivity In Cholangiocarcinoma.

e15672 Background: Rare tumors, such as cholangiocarcinoma (CC), have no established treatment protocols, forcing clinicians to select therapies based on educated guesses or small case series. Genomic tumor analyses fail to identify options for most patients. Here, we show the feasibility of using a high-throughput functional assay to test targeted drug libraries on individual patient-derived tumor organoids from CC to yield experimentally-validated therapeutic options. Methods: Three consecutive patients with CC who were undergoing a standard of care biopsy or resection were enrolled in an IRB-approved study. Patient characteristics, demographics, tumor pathology, including Next Generation Sequencing (NGS) data and organoid-derived drug recommendations are shown in the Table. Specimen (~ 200 mg of tumor) was shipped on ice overnight to SEngine Precision Medicine for tumor-derived organoid culture and sensitivity analysis. Organoids were evaluated using a multi-dose response to each drug in a library of 120 FDA-approved and investigational drugs and compared those responses to all prior patients. This established both functional sensitivity and the uniqueness of each patient’s response. Results: We tested operational logistics, tumor growth rates, and chemosensitivity reporting timelines. This has allowed us to: 1) operationalize the expansion process, 2) quantify turn-around time, and 3) identify any technical or logistic barriers. All specimens resulted in adequate growth for sensitivity characterization. None of the NGS studies resulted in recommendations for sensitivity to targeted chemotherapy. Conversely, tumor organoid assays rapidly identified selective, personalized drugs. Conclusions: We have shown the feasibility of this approach in CC. Our preliminary results will inform the design of a future prospective clinical trial to establish and validate this method to select personalized cancer treatments for rare malignancies.[Table: see text]