Illuminating oncogenic KRAS signaling by multi-dimensional chemical proteomics

Kabella, N.; Bayer, F. P.; Stamatiou, K.; Abele, M.; Sakhteman, A.; Chang, Y.-C.; Wagner, V.; Gabriel, A.; Krumm, J.; Reinecke, M.; Holzner, M.; Aigner, M.; The, M.; Hahne, H.; Bassermann, F.; Ludwig, C.; Vagnarelli, P.; Kuster, B.

doi:10.1101/2025.01.30.635627

bioRxiv · 10.1101/2025.01.30.635627

Illuminating oncogenic KRAS signaling by multi-dimensional chemical proteomics

Kabella, N.·Bayer, F. P.·Stamatiou, K.·Abele, M.·Sakhteman, A.·Chang, Y.-C.·Wagner, V.·Gabriel, A.·Krumm, J.·Reinecke, M.·Holzner, M.·Aigner, M.·The, M.·Hahne, H.·Bassermann, F.·Ludwig, C.·Vagnarelli, P.·Kuster, B.

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Abstract

Mutated KRAS is among the most frequent activating genetic alterations in cancer and drug discovery efforts have led to inhibitors that block its activity. To better understand oncogenic KRAS signaling and the cytostatic effects of drugs, we performed comprehensive dose-dependent proteome-wide target deconvolution, pathway engagement and protein expression characterization of KRAS, MEK, ERK, SHP2 and SOS1 inhibitors in pancreatic (KRAS G12C, G12D) and lung cancer (KRAS G12C) cells. Analysis of the resulting 687,954 dose-response curves available online revealed both common and cell line-specific signaling networks dominated by oncogenic KRAS activity. Time-dose experiments separated early KRAS-MEK-ERK from CDK-mediated signaling that cause cells to exit from the cell cycle. This transition to a quiescent state occurred without substantial proteome re-modelling but extensive changes of protein phosphorylation and ubiquitylation. The collective data highlights the complexity of KRAS signaling in cancer and places a large number of new proteins into this functional context.

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Kabella, N., Bayer, F. P., Stamatiou, K., Abele, M., Sakhteman, A., Chang, Y.-C., Wagner, V., Gabriel, A., Krumm, J., Reinecke, M., Holzner, M., Aigner, M., The, M., Hahne, H., Bassermann, F., Ludwig, C., Vagnarelli, P., Kuster, B.. 2025-02-01. Illuminating oncogenic KRAS signaling by multi-dimensional chemical proteomics. https://doi.org/10.1101/2025.01.30.635627

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