Abstract

e13562 Background: Personalized oncology has advanced through genomic and proteomic platforms. BCR-abl; EGFr and ALK have provided drug-able targets and companion diagnostics in several diseases, yet many transforming events in humans are polygenic, complex and incompletely understood at a genomic level. Recognition that oncogenesis reflects changes in the cell and its micro environment has renewed interest in whole cell experimental models that capture native-state cell-cell, -stroma and -vascular signaling. Ex vivo analysis of programmed cell death (EVA/PCD) has been shown to correlate significantly with response, time to progression and survival (Nagourney, R. Curr. Treat Op Oncol, 2006).To explore EVA/PCD functional profiling in Brazil, hospital-based investigators, Centro de Genomas and Rational Therapeutics coordinated the transport of 67 surgical specimens for analyses. Methods: Dose-response curves using metabolic (ATP-content, mitochondrial) and morphologic endpoints, interpolated to LC50's and synergy by median-effect, were compared with databases to identify patient-specific profiles for cytotoxics, targeted agents and combinations. Reports provided day 7. Results: 62/67 (92%) provided adequate tumor for analysis; 39 male (58%); 28 (42%) female; 6 chemo-naive and 61 previously treated. Results provided for < 8 drugs in 14/62 (22%); 8-16 drugs in 34/62 (54%) and > 16 drugs in 14/62 (22%). Of 22 tumor types, breast (8); Melanoma (8); NSCLC (8); ovary (7); pancreas (7) and sarcoma (4) predominated. EVA/PCD was used to select the most active combinations. Agents selected, response rates and durations are being tabulated and will be reported. Conclusions: The transport, processing and reporting of human tumor primary culture analyses is feasible, providing results in 92% of specimens and median of 12 drugs evaluated (range 4-32). Preliminary outcomes in these drug-refractory patients reveal that novel, often unexpected drug combinations (Everolimus and Lapatinib in triple negative breast) were identified and provided objective tumor responses, supporting EVA/PCD in therapy selection (personalized therapy) and drug development.

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