4.6 Article

A RAS-Independent Biomarker Panel to Reliably Predict Response to MEK Inhibition in Colorectal Cancer

Journal

CANCERS
Volume 14, Issue 13, Pages -

Publisher

MDPI
DOI: 10.3390/cancers14133252

Keywords

organoids; biomarker; targeted therapy; colorectal cancer; CRC; SMAD4; TGF-beta/BMP-pathway; intra-tumor heterogeneity; MEK inhibition

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This research investigated the impact of loss-of-function of the SMAD4 gene on the sensitivity to MEK inhibitors in colorectal cancer using CRISPR technology. It identified a mutation signature related to the TGF-beta/BMP signaling pathway and found a gene signature (SFAB) that can predict sensitivity to MEK inhibitors.
Background: In colorectal cancer (CRC), mutations of genes associated with the TGF-beta/BMP signaling pathway, particularly affecting SMAD4, are known to correlate with decreased overall survival and it is assumed that this signaling axis plays a key role in chemoresistance. Methods: Using CRISPR technology on syngeneic patient-derived organoids (PDOs), we investigated the role of a loss-of-function of SMAD4 in sensitivity to MEK-inhibitors. CRISPR-engineered SMAD4(R361H) PDOs were subjected to drug screening, RNA-Sequencing, and multiplex protein profiling (DigiWest (R)). Initial observations were validated on an additional set of 62 PDOs with known mutational status. Results: We show that loss-of-function of SMAD4 renders PDOs sensitive to MEK-inhibitors. Multiomics analyses indicate that disruption of the BMP branch within the TGF-beta/BMP pathway is the pivotal mechanism of increased drug sensitivity. Further investigation led to the identification of the SFAB-signature (SMAD4, FBXW7, ARID1A, or BMPR2), coherently predicting sensitivity towards MEK-inhibitors, independent of both RAS and BRAF status. Conclusion: We identified a novel mutational signature that reliably predicts sensitivity towards MEK-inhibitors, regardless of the RAS and BRAF status. This finding poses a significant step towards better-tailored cancer therapies guided by the use of molecular biomarkers.

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