Unveiling the signaling network of FLT3-ITD AML improves drug sensitivity prediction
S. Latini, V. Venafra, G. Massacci, V. Bica, S. Graziosi, G. M. Pugliese, M. Iannuccelli, F. Frioni, G. Minnella, J. D. Marra, P. Chiusolo, G. Pepe, M. Helmer-Citterich, D. Mougiakakos, M. Boettcher, , F. Sacco
This study develops a systems-based strategy to predict drug sensitivity in FLT3-ITD AML by integrating genomic, transcriptomic data with a prior-knowledge signaling network.
bioRxiv · Jun 22, 2023Cancer Biology