bioRxivCancer BiologyPreprint
Binding kinetics enable tumor-selective MAPK and growth suppression by a Type 1 RAF Inhibitor
Mathieu DesaunayiD, Tara Peters, Evangelia MatenoglouiD, Beau BaarsiD, Bijaya GaireiD, Ana Orive-RamosiD, Li Ren, Joseph P. Lyssikatos, Michael Burkard, Dalton DacusiD, Matthew J. SaleiD, Stuart A. AaronsoniD, Frank P. McCormickiD, Evripidis GavathiotisiD, Stefan David GrossiD, Poulikos I. PoulikakosiD
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Abstract
Therapeutic inhibition of the RAS/MAPK cascade, an oncogenic driver in over one-third of human cancers, has been limited by a core trade-off: effective pathway blockade in tumors versus dose-limiting toxicity in normal tissues. Although Type 1.5 RAF inhibitors successfully mitigated this trade-off in BRAF-monomer-driven tumors, an equivalent strategy has been lacking for RAF-dimer-driven cancers, including those with RAS mutations. Here, we characterize ELV-3111, a next-generation, potent, and selective Type 1 RAF inhibitor that overcomes this limitation via a distinct mechanism of action. ELV-3111 induces paradoxical MAPK hyperactivation in normal tissues by binding RAF and promoting the active conformation (priming) followed by rapid dissociation (fast off-rate), a biochemical feature that spares RAS-mutant tumors, where RAF is already primed. In these and other RAF dimer-driven tumor models, ELV-3111 achieves potent and selective MAPK and growth suppression. When combined with a MEK inhibitor, ELV-3111 enables complementary pharmacology: additive inhibition in tumors and compensatory effects in normal tissues. The combination produced durable regressions across RAS-mutant and BRAF-mutant models, including a RAS-mutant model refractory to current therapies, while maintaining favorable tolerability. Thus, we uncover a generalizable mechanism that enables Type 1 RAF inhibitor plus MEK inhibitor combinations to achieve tumor-selective MAPK suppression, with the potential to inform targeted therapy design.
- organism: human
- research focus: drug response / drug discovery
- research focus: perturbation response prediction
- approach: experimental assay
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