Assessing personalized responses to anti-PD-1 treatment using patient-derived lung tumor-on-chip

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Veith, Irina | Nurmik, Martin | Mencattini, Arianna | Damei, Isabelle | Lansche, Christine | Brosseau, Solenn | Gropplero, Giacomo | Corgnac, Stéphanie | Filippi, Joanna | Poté, Nicolas | Guenzi, Edouard | Chassac, Anaïs | Mordant, Pierre | Tosello, Jimena | Sedlik, Christine | Piaggio, Eliane | Girard, Nicolas | Camonis, Jacques | Shirvani, Hamasseh | Mami-Chouaib, Fathia | Mechta-Grigoriou, Fatima | Descroix, Stéphanie | Martinelli, Eugenio | Zalcman, Gérard | Parrini, Maria, Carla

Edité par CCSD ; Cell Press -

International audience. There is a compelling need for approaches to predict the efficacy of immunotherapy drugs. Tumor-on-chip technology exploits microfluidics to generate 3D cell co-cultures embedded in hydrogels that recapitulate simplified tumor ecosystems. Here, we present the development and validation of lung tumor-on-chip platforms to quickly and precisely measure ex vivo the effects of immune checkpoint inhibitors on T cell-mediated cancer cell death by exploiting the power of live imaging and advanced image analysis algorithms. The integration of autologous immunosuppressive FAP+ cancer-associated fibroblasts impaired the response to anti-PD-1, indicating that tumors-on-chips are capable of recapitulating stroma-dependent mechanisms of immunotherapy resistance. For a small cohort of non-small cell lung cancer patients, we generated personalized tumors-on-chips with their autologous primary cells isolated from fresh tumor samples, and we measured the responses to anti-PD-1 treatment. These results support the power of tumor-on-chip technology in immuno-oncology research and open a path to future clinical validations.

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