Abstract 3326: Uncovering the molecular mechanisms which predict sensitivity to a novel src kinase inhibitor NXP900 to inform personalized healthcare strategies

We have previously described the discovery of a highly potent, selective and orally bioavailable Src kinase inhibitor NXP900 with a unique binding mode relative to other Src inhibitors under clinical development or approved (Temps et al 2021). This unique binding mode locks SRC in its native inactive conformation, thereby inhibiting both enzymatic and scaffolding functions. Also, in contrast to other Src inhibitors in the clinic, NXP900 exhibits a unique target selectivity profile with 1000 fold selectivity for Src over Abl kinase. The aim of this current study was to perform broad cancer cell line panel screening to inform disease positioning and identify predictive biomarkers of sensitivity for this novel class of Src kinase inhibitor. We describe the results of extensive cancer cell line panel profiling across a suite of 2-dimensional(D) and 3-D in vitro cell viability and high content phenotypic profiling assays that has revealed clear patterns of cell line sensitivity and insensitivity. Among the most sensitive cell line subtypes are, squamous cell carcinoma, Arid1A mutant ovarian clear cell carcinoma and subtypes of breast luminal A and triple negative breast cancer cell lines. HER2+ breast cancer lines appear insensitive to NXP900 indicating HER2 as a potential driver of resistance to NXP900. Further in-depth bioinformatic analysis of genetic and transcriptomic profiles of sensitive cell lines has identified putative biomarkers to support patient selection and personalized healthcare strategies. These studies demonstrate the identification of cancer cell lines which exhibit high sensitivity to NXP900 and which can be grouped into discrete molecular subtypes based on gene mutation status, transcriptomics and histotype. Our result provide an indication of patient subgroups which may exhibit optimal therapeutic response to NXP900 and provide data to guide further preclinical, biomarker and clinical development. Temps C et al., Cancer Res. 2021 Nov 1;81(21):5438-5450. doi: 10.1158/0008-5472.CAN-21-0613.

Citation Format: Neil Carragher, Rebecca Hughes, Valerie Brunton, Asier Unciti-broceta, Iñigo Lanzagorta-Calvillo, Carolin Temps, Enrique Poradosu. Uncovering the molecular mechanisms which predict sensitivity to a novel src kinase inhibitor NXP900 to inform personalized healthcare strategies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3326.