bioRxiv preprint doi: https://doi.org/10.1101/2020.11.03.366245; this version posted November 3, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Overcoming Resistance to BRAFV600E Inhibition in Melanoma by Deciphering and 2 Targeting Personalized Protein Network Alterations 3 S. Vasudevan#, E. Flashner-Abramson#, I. Adesoji Adejumobi, D. Vilencki, S. Stefansky, A.M. 4 Rubinstein and N. Kravchenko-Balasha* 5 Department for Bio-medical Research, Faculty of Dental Medicine, Hebrew University of Jerusalem, 6 Jerusalem 91120, Israel 7 *Corresponding author:
[email protected] 8 # Equal contribution 9 Keywords 10 Melanoma; information theory; surprisal analysis; patient-specific altered signaling signatures; 11 personalized therapy; BRAFV600E-mutated melanoma 12 13 Abstract 14 BRAFV600E melanoma patients, despite initially responding to the clinically prescribed anti-BRAFV600E 15 therapy, often relapse and their tumors develop drug resistance. While it is widely accepted that these 16 tumors are originally driven by the BRAFV600E mutation, they often eventually diverge and become 17 supported by various signaling networks. Therefore, patient-specific altered signaling signatures should be 18 deciphered and treated individually. 19 In this study, we design individualized melanoma combination treatments based on personalized network 20 alterations. Using an information-theoretic approach, we compute high-resolution patient-specific altered 21 signaling signatures. These altered signaling signatures each consist of several co-expressed subnetworks, 22 which should all be targeted to optimally inhibit the entire altered signaling flux. Based on these data, we 23 design smart, personalized drug combinations, often consisting of FDA-approved drugs.