Systems analysis of protein signatures predicting cetuximab responses in KRAS, NRAS, BRAF and PIK3CA wild-type patient-derived xenograft models of metastatic colorectal cancer.

Abstract

Antibodies targeting the human epidermal growth factor receptor (EGFR) are used for the treatment of RAS wild-type metastatic colorectal cancer. A significant proportion of patients remains unresponsive to this therapy. Here, we performed a reverse-phase protein array-based (phospho)protein analysis of 63 KRAS, NRAS, BRAF and PIK3CA wild-type metastatic CRC tumours. Responses of tumours to anti-EGFR therapy with cetuximab were recorded in patient-derived xenograft (PDX) models. Unsupervised hierarchical clustering of pretreatment tumour tissue identified three clusters, of which Cluster C3 was exclusively composed of responders. Clusters C1 and C2 exhibited mixed responses. None of the three protein clusters exhibited a significant correlation with transcriptome-based subtypes. Analysis of protein signatures across all PDXs identified 14 markers that discriminated cetuximab-sensitive and cetuximab-resistant tumours: PDK1 (S241), caspase-8, Shc (Y317), Stat3 (Y705), p27, GSK-3β (S9), HER3, PKC-α (S657), EGFR (Y1068), Akt (S473), S6 ribosomal protein (S240/244), HER3 (Y1289), NF-κB-p65 (S536) and Gab-1 (Y627). Least absolute shrinkage and selection operator and binominal logistic regression analysis delivered refined protein signatures for predicting response to cetuximab. (Phospo-)protein analysis of matched pretreated and posttreated models furthermore showed significant reduction of Gab-1 (Y627) and GSK-3β (S9) exclusively in responding models, suggesting novel targets for treatment.