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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 pre-treatment tumour tissue identified three clusters, of which cluster C3 was exclusively composed of responders. Clusters C1 and C2 showed mixed responses. None of the three protein clusters showed a significant correlation with transcriptome-based subtypes. Analysis of protein signatures across all PDXs identified 14 markers that discriminated cetuximab-sensitive and -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 pre- and post-treated models furthermore showed significant reduction of Gab-1 (Y627) and GSK-3β (S9) exclusively in responding models, suggesting novel targets for treatment. This article is protected by copyright. All rights reserved.

Purpose: Regorafenib (REG) is approved for the treatment of metastatic colorectal cancer, but has modest survival benefit and associated toxicities. Robust predictive/early response biomarkers to aid patient stratification are outstanding. We have exploited biological pathway analyses in a patient-derived xenograft (PDX) trial to study REG response mechanisms and elucidate putative biomarkers. Experimental Design: Molecularly subtyped PDXs were annotated for REG response. Subtyping was based on gene expression (CMS, consensus molecular subtype) and copy-number alteration (CNA). Baseline tumor vascularization, apoptosis, and proliferation signatures were studied to identify predictive biomarkers within subtypes. Phospho-proteomic analysis was used to identify novel classifiers. Supervised RNA sequencing analysis was performed on PDXs that progressed, or did not progress, following REG treatment. Results: Improved REG response was observed in CMS4, although intra-subtype response was variable. Tumor vascularity did not correlate with outcome. In CMS4 tumors, reduced proliferation and higher sensitivity to apoptosis at baseline correlated with response. Reverse phase protein array (RPPA) analysis revealed 4 phospho-proteomic clusters, one of which was enriched with non-progressor models. A classification decision tree trained on RPPA- and CMS-based assignments discriminated non-progressors from progressors with 92% overall accuracy (97% sensitivity, 67% specificity). Supervised RNA sequencing revealed that higher basal EPHA2 expression is associated with REG resistance. Conclusions: Subtype classification systems represent canonical “termini a quo” (starting points) to support REG biomarker identification, and provide a platform to identify resistance mechanisms and novel contexts of vulnerability. Incorporating functional characterization of biological systems may optimize the biomarker identification process for multitargeted kinase inhibitors.

Resistance to chemotherapy often results from dysfunctional apoptosis, however multiple proteins with overlapping functions regulate this pathway. We sought to determine whether an extensively validated, deterministic apoptosis systems model, &lsquo, DR_MOMP&rsquo, could be used as a stratification tool for the apoptosis sensitiser and BCL-2 antagonist, ABT-199 in patient-derived xenograft (PDX) models of colorectal cancer (CRC). Through quantitative profiling of BCL-2 family proteins, we identified two PDX models which were predicted by DR_MOMP to be sufficiently sensitive to 5-fluorouracil (5-FU)-based chemotherapy (CRC0344), or less responsive to chemotherapy but sensitised by ABT-199 (CRC0076). Treatment with ABT-199 significantly improved responses of CRC0076 PDXs to 5-FU-based chemotherapy, but showed no sensitisation in CRC0344 PDXs, as predicted from systems modelling. 18F-Fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) scans were performed to investigate possible early biomarkers of response. In CRC0076, a significant post-treatment decrease in mean standard uptake value was indeed evident only in the combination treatment group. Radiomic CT feature analysis of pre-treatment images in CRC0076 and CRC0344 PDXs identified features which could phenotypically discriminate between models, but were not predictive of treatment responses. Collectively our data indicate that systems modelling may identify metastatic (m)CRC patients benefitting from ABT-199, and that 18F-FDG-PET could independently support such predictions.

Purpose: Patient-derived xenograft (PDX) models accurately recapitulate the tumor of origin in terms of histopathology, genomic landscape, and therapeutic response, but some limitations due to costs associated with their maintenance and restricted amenability for large-scale screenings still exist. To overcome these issues, we established a platform of 2D cell lines (xeno-cell lines, XL), derived from PDXs of colorectal cancer with matched patient germline gDNA available. Experimental Design: Whole-exome and transcriptome sequencing analyses were performed. Biomarkers of response and resistance to anti-HER therapy were annotated. Dependency on the WRN helicase gene was assessed in MSS, MSI-H, and MSI-like XLs using a reverse genetics functional approach. Results: XLs recapitulated the entire spectrum of colorectal cancer transcriptional subtypes. Exome and RNA-seq analyses delineated several molecular biomarkers of response and resistance to EGFR and HER2 blockade. Genotype-driven responses observed in vitro in XLs were confirmed in vivo in the matched PDXs. MSI-H models were dependent upon WRN gene expression, while loss of WRN did not affect MSS XLs growth. Interestingly, one MSS XL with transcriptional MSI-like traits was sensitive to WRN depletion. Conclusions: The XL platform represents a preclinical tool for functional gene validation and proof-of-concept studies to identify novel druggable vulnerabilities in colorectal cancer.

Colorectal cancer is the third most common cancer worldwide, with 1.2 million patients diagnosed annually. In late-stage colorectal cancer, the most commonly used targeted therapies are the monoclonal antibodies cetuximab and panitumumab, which prevent epidermal growth factor receptor (EGFR) activation. Recent studies have identified alterations in KRAS and other genes as likely mechanisms of primary and secondary resistance to anti-EGFR antibody therapy. Despite these efforts, additional mechanisms of resistance to EGFR blockade are thought to be present in colorectal cancer and little is known about determinants of sensitivity to this therapy. To examine the effect of somatic genetic changes in colorectal cancer on response to anti-EGFR antibody therapy, here we perform complete exome sequence and copy number analyses of 129 patient-derived tumour grafts and targeted genomic analyses of 55 patient tumours, all of which were KRAS wild-type. We analysed the response of tumours to anti-EGFR antibody blockade in tumour graft models and in clinical settings and functionally linked therapeutic responses to mutational data. In addition to previously identified genes, we detected mutations in ERBB2, EGFR, FGFR1, PDGFRA, and MAP2K1 as potential mechanisms of primary resistance to this therapy. Novel alterations in the ectodomain of EGFR were identified in patients with acquired resistance to EGFR blockade. Amplifications and sequence changes in the tyrosine kinase receptor adaptor gene IRS2 were identified in tumours with increased sensitivity to anti-EGFR therapy. Therapeutic resistance to EGFR blockade could be overcome in tumour graft models through combinatorial therapies targeting actionable genes. These analyses provide a systematic approach to evaluating response to targeted therapies in human cancer, highlight new mechanisms of responsiveness to anti-EGFR therapies, and delineate new avenues for intervention in managing colorectal cancer.

Introduction Anti-EGFR therapies with the monoclonal antibodies cetuximab and panitumumab have improved survival in colorectal cancer (CRC) patients; nevertheless, incomplete mass obliteration and eventual relapse are a common setback, even after a plateau of maximal response. Preclinical data suggest that tumour recurrence may be fueled by a reservoir of so-called ‘drug-tolerant persisters’ that engage non-mutational routes of adaptation to therapy. Yet, the molecular underpinnings that sustain residual disease, as well as the strategies to oppose it, are largely unexplored. Material and methods The effects of targeted therapies were evaluated in patient-derived xenografts. The biochemical and biological consequences of drug exposure were gauged by immunohistochemistry and morphometric analyses (in vivo), and by time-lapse imaging, Western Blot, Cell Titer-Glo and Caspase-Glo assays (in vitro). Transcriptional perturbations were assessed by microarray analysis and/or RT-qPCR. The activity of transcriptional modulators was measured by reporter assays in vitro. Results and discussions Residual tumours surviving cetuximab treatment exhibited a quiescent, Wnt-high, and secretory/Paneth cell-like state as a distinctive trait. This pattern outlines that of EGFR-inhibited quiescent stem cells of the normal intestine, suggesting that developmental trajectories are somehow coopted by cancer cells to face external insults. Such phenotype was reversible with drug suspension, pointing to non-genetic plasticity as a determinant of cancer cell reprogramming. Residual tumours also displayed lower expression of EGFR-activating ligands, congruent with reduced EGFR dependency, and showed rewired reliance on compensatory HER2/HER3 activity, as well as persistent PI3K signalling. Mechanistically, the acquisition of Paneth cell-like features was mediated, at least partly, by inactivation of YAP – a key driver of intestinal cell regeneration. Therapeutically, combined blockade of EGFR and PI3K/AKT lessened residual disease burden, but did not lead to long-term disease control. However, treatment with panHER, a mixture of antibodies concurrently targeting EGFR, HER2, and HER3, reduced tumour volumes and delayed tumour relapse after therapy cessation. Conclusion Drug tolerance in cetuximab-sensitive CRC models involves a switch towards a Paneth-cell like state typified by sustained HER2/HER3 and PI3K signalling. Treatment with panHER effectively exhausted residual tumour burden and impeded/delayed late relapse.

Stromal content heavily impacts the transcriptional classification of colorectal cancer (CRC), with clinical and biological implications. Lineage-dependent stromal transcriptional components could therefore dominate over more subtle expression traits inherent to cancer cells. Since in patient-derived xenografts (PDXs) stromal cells of the human tumour are substituted by murine counterparts, here we deploy human-specific expression profiling of CRC PDXs to assess cancer-cell intrinsic transcriptional features. Through this approach, we identify five CRC intrinsic subtypes (CRIS) endowed with distinctive molecular, functional and phenotypic peculiarities: (i) CRIS-A: mucinous, glycolytic, enriched for microsatellite instability or KRAS mutations; (ii) CRIS-B: TGF-β pathway activity, epithelial–mesenchymal transition, poor prognosis; (iii) CRIS-C: elevated EGFR signalling, sensitivity to EGFR inhibitors; (iv) CRIS-D: WNT activation, IGF2 gene overexpression and amplification; and (v) CRIS-E: Paneth cell-like phenotype, TP53 mutations. CRIS subtypes successfully categorize independent sets of primary and metastatic CRCs, with limited overlap on existing transcriptional classes and unprecedented predictive and prognostic performances., Stromal cells contribute to the gene expression profiles based on which colorectal cancer (CRC) molecular subtypes are classified. Here, patient-derived xenografts enable the authors to obtain cancer cell-specific transcriptomes by excluding transcripts from murine stromal cells, based on which they define CRC intrinsic subtypes (CRIS) and evaluate their prognostic and predictive potential.

Among patients with colorectal cancer who benefit from therapy targeted to the epidermal growth factor receptor (EGFR), stable disease (SD) occurs more frequently than massive regressions. Exploring the mechanisms of this incomplete sensitivity to devise more efficacious treatments will likely improve patients' outcomes. We tested therapies tailored around hypothesis-generating molecular features in patient-derived xenografts ("xenopatients"), which originated from 125 independent samples that did not harbor established resistance-conferring mutations. Samples from xenopatients that responded to cetuximab, an anti-EGFR agent, with disease stabilization displayed high levels of EGFR family ligands and receptors, indicating high EGFR pathway activity. Five of 21 SD models (23.8%) characterized by particularly high expression of EGFR and EGFR family members regressed after intensified EGFR blockade by cetuximab and a small-molecule inhibitor. In addition, a subset of cases in which enhanced EGFR inhibition was unproductive (6 of 16, 37.5%) exhibited marked overexpression of insulin-like growth factor 2 (IGF2). Enrichment of IGF2 overexpressors among cases with SD was demonstrated in the entire xenopatient collection and was confirmed in patients by mining clinical gene expression data sets. In functional studies, IGF2 overproduction attenuated the efficacy of cetuximab. Conversely, interception of IGF2-dependent signaling in IGF2-overexpressing xenopatients potentiated the effects of cetuximab. The clinical implementation of IGF inhibitors awaits reliable predictors of response, but the results of this study suggest rational combination therapies for colorectal cancer and provide evidence for IGF2 as a biomarker of reduced tumor sensitivity to anti-EGFR therapy and a determinant of response to combined IGF2/EGFR targeting.

In the precision medicine era, multi-parametric interrogation of tumors in cancer patients has enabled rationally refined clinical trials and considerably improved response rates. Nevertheless, incomplete mass obliteration and late relapse invariably emerge. This also relates to metastatic colorectal cancer (mCRC), as massive tumor regression upon anti-EGFR therapy with cetuximab is relatively infrequent. Clinical evidence suggests that tumor recurrence may be endorsed by a population of lingering cancer cells that survive therapy and fuel residual disease through reversible, non-mutational cues, thus installing a “poised” state of drug tolerance that anticipates tumor relapse. The mechanisms underlying this resilience, and the strategies to tackle it, remain to be explored. In this study, we capitalized on different exploratory resources, including a proprietary collection of patient-derived xenografts, as well as CRC cell lines and primary cultures, to explore the mechanisms of cetuximab tolerance. Biochemical characterization of cetuximab persisters evidenced a dichotomous output, with full MAPK neutralization but persistent PI3K/AKT activity, suggesting that PI3K is engaged as a competitor route. Consistently, concomitant EGFR/PI3K blockade specifically unleashed apoptosis in cell lines, as opposed to the cytostatic activity of cetuximab alone, and prevented colosphere growth recovery after drug washout. In vivo, evaluation of residual cellularity confirmed the superior efficacy of dual EGFR/PI3K deactivation. Hence, both the number and fitness of tolerant cells were thwarted by EGFR/PI3K interception. Integrative morphologic analysis, immunohistochemistry, gene-expression profiling and reporter assays in vitro put forward increased beta-catenin activity and Paneth cell-like reprogramming as distinctive traits of residual cells surviving cetuximab treatment. These features are likely related to cetuximab-induced biochemical rewiring, as relieve of ERK-mediated beta-catenin repression in conjunction with persistent PI3K-AKT activity may converge on Wnt-dependent Paneth cell-like differentiation. Importantly, PI3K inhibition dampened cetuximab-triggered Paneth cell specification, thus intercepting a putative mechanism of drug-tolerance. Future studies will extricate the relative contribution of PI3K, MAPK, and Wnt-dependent networks to sustaining the reservoir of persisters, and how Paneth-like traits may foster residual disease. Citation Format: Barbara Lupo, Paolo Gagliardi, Francesco Sassi, Eugenia Rosalinda Zanella, Francesca Cottino, Andrea Bertotti, Livio Trusolino. Targeting the PI3K pathway to intercept cetuximab tolerance in metastatic colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr LB-293. doi:10.1158/1538-7445.AM2017-LB-293

Colorectal cancer (CRC) is the third and second most commonly diagnosed cancer in males and females, and the second most common cause of cancer-related deaths in the developed world. Identifying the importance of epidermal growth factor (EGF) signalling pathways for the survival of CRC cells (Van Cutsem, Kohne et al. 2011) resulted in development of therapies that target EGF-receptors (EGFR). Late stage CRC patients are mainly treated with monoclonal anti-EGFR antibodies such as cetuximab. Although anti-EGFR therapies have significantly improved survival in CRC patients (Van Cutsem, Kohne et al. 2009), they are not effective in patients with activating KRAS, BRAF, NRAS and PI3KCA mutations (De Roock, Claes et al. 2010). Nevertheless, between 50-60% of patients will not benefit from the additional anti-EGFR treatment, even when these have a quadruple wild-type status (De Roock, De Vriendt et al. 2011), suggesting that novel biomarkers and targeted therapies are required. In this study, we investigate potential biomarkers for cetuximab response in a panel of 93 quadruple wild-type, liver metastatic CRC samples from patient derived xenografts (PDX) with known responses to cetuximab. Matching PDXs were used to measure changes in tumour volumes post cetuximab treatment (Bertotti, Papp et al. 2015) and were later categorised as regressing, progressing or stabilised. Protein expression levels were measured in matched PDXs, using a reverse phase protein array (RPPA) with a panel of 72 antibodies targeting key cancer related proteins as previously described). Statistical analysis of measured values showed significant correlation between high protein expression levels, such as Chk-1, PARP, HIAP-2 (cIAP-1), and PDX progression post cetuximab treatment. These proteins were significantly expressed lower in both regressing and stable PDXs. Interestingly, we found a high cross correlation between expression levels of these proteins across all the samples, giving them a great potential to act as predictive biomarkers for cetuximab response. Bioinformatics pathway enrichment of these proteins showed a significant enrichment of intrinsic apoptotic and cell cycle signalling pathways. These results have also been investigated in publically available patient data with cetuximab response and together will be used to construct a deterministic mathematical cell cycle model that will help to predict the outcome of cetuximab therapy in future. Citation Format: Naser Monsefi, Robert O’Byrne, Steven Carberry, Eugenia R. Zanella, Ana Barat, Mattia Cremona, Clare Morgan, Bryan T. Hennessy, Andrea Bertotti, Livio Trusolino, Jochen H.M. Prehn. Investigating potential molecular biomarkers for cetuximab response in metastatic colorectal cancer tissue using reverse phase protein array. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr LB-354.

Results Xenopatients retained the histological and genomic features of the original counterparts, responded to the anti-EGFR antibody cetuximab similarly to clinical observations, and could be prospectively stratified as responders or nonresponders based on predictive biomarkers. Genotype-response correlations indicated HER2 amplification specifically in a subset of cetuximab-resistant, KRAS/ NRAS/BRAF/PIK3CA wild-type cases. In this subset, combined HER2/EGFR inhibition induced long-lasting tumor regression. We also assessed the effects of MEK and PI3K/ mTor inhibitors (AZD6244 and BEZ235 respectively) in 40 specimens harboring KRAS/ NRAS/BRAF/PIK3CA mutations. Cotreatment of xenografts with AZD6244 +BEZ235 induced disease stabilization in the majority of cases (70%) but did not lead to tumor regression. Monotherapy was less effective, with BEZ235 displaying higher activity than AZD6244. Triple therapy with cetuximab provided further advantage. The extent of disease control declined upon prolonged treatment.