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Fusion-negative rhabdomyosarcoma 3D organoids to predict effective drug combinations: A proof-of-concept on cell death inducers

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Savary, Clara | Luciana, Léa | Huchedé, Paul | Tourbez, Arthur | Coquet, Claire | Broustal, Maëlle | Lopez Gonzalez, Alejandro | Deligne, Clémence | Diot, Thomas | Naret, Olivier | Costa, Mariana | Meynard, Nina | Barbet, Virginie | Müller, Kevin | Tonon, Laurie | Gadot, Nicolas | Degletagne, Cyril | Attignon, Valéry | Léon, Sophie | Vanbelle, Christophe | Bomane, Alexandra | Rochet, Isabelle | Mournetas, Virginie | Oliveira, Luciana | Rinaudo, Paul | Bergeron, Christophe | Dutour, Aurélie | Cordier-Bussat, Martine | Roch, Aline | Brandenberg, Nathalie | El Zein, Sophie | Watson, Sarah | Orbach, Daniel | Delattre, Olivier | Dijoud, Frédérique | Corradini, Nadège | Picard, Cécile | Maucort-Boulch, Delphine | Le Grand, Marion | Pasquier, Eddy | Blay, Jean-Yves | Castets, Marie | Broutier, Laura

Edité par CCSD ; Cell Press -

International audience. Highlights d Relapsed rhabdomyosarcoma (RMS) 3D organoids can be derived from needle biopsies d RMS 3D organoids finely preserve inter-and intra-tumor heterogeneity d Transcriptomic approach reveals Survivin as a key apoptosis blockage point in RMS d RMS 3D organoids are powerful tools to design and/or reexplore drug combinations Authors

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