Richard Turkington

Implementing prognostic and predictive biomarkers in CRC clinical trials.

Over the past two decades, several protein and genomic markers have refined the prognostic information of colorectal cancer (CRC) and helped to predict which patient group may benefit most from systemic treatment or targeted therapies. Of all these markers, KRAS represents the first biomarker integrated into clinical practice for CRC. Microarray-based gene-expression profiling has been used to identify prognostic signatures and to a lesser degree predictive signatures in CRC; however, common challenges with these types of studies are clinical study design, reproducibility, interpretation and reporting of the results. We focus on the clinical application of a range of published prognostic and predictive protein and genomic markers in CRC and discuss the different challenges associated with microarray-based gene-expression profiling. While none of these genomic signatures is currently in routine clinical use in CRC, novel adaptive clinical trial designs that incorporate putative genomic prognostic/predictive markers in prospective randomized trials, will enable a clinical validation of these markers and may facilitate the implementation of these biomarkers into routine medical practice.

Fibroblast growth factor receptor 4 (FGFR4): a targetable regulator of drug resistance in colorectal cancer

The discovery of underlying mechanisms of drug resistance, and the development of novel agents to target these pathways, is a priority for patients with advanced colorectal cancer (CRC). We previously undertook a systems biology approach to design a functional genomic screen and identified fibroblast growth factor receptor 4 (FGFR4) as a potential mediator of drug resistance. The aim of this study was to examine the role of FGFR4 in drug resistance using RNAi and the small-molecule inhibitor BGJ398 (Novartis). We found that FGFR4 is highly expressed at the RNA and protein levels in colon cancer tumour tissue compared with normal colonic mucosa and other tumours. Silencing of FGFR4 reduced cell viability in a panel of colon cancer cell lines and increased caspase-dependent apoptosis. A synergistic interaction was also observed between FGFR4 silencing and 5-fluorouracil (5-FU) and oxaliplatin chemotherapy in colon cancer cell lines. Mechanistically, FGFR4 silencing decreased activity of the pro-survival STAT3 transcription factor and expression of the anti-apoptotic protein c-FLIP. Furthermore, silencing of STAT3 resulted in downregulation of c-FLIP protein expression, suggesting that FGFR4 may regulate c-FLIP expression via STAT3. A similar phenotype and downstream pathway changes were observed following FGFR4 silencing in cell lines resistant to 5-FU, oxaliplatin and SN38 and upon exposure of parental cells to the FGFR small-molecule inhibitor BGJ398. Our results indicate that FGFR4 is a targetable regulator of chemo-resistance in CRC, and hence inhibiting FGFR4 in combination with 5-FU and oxaliplatin is a potential therapeutic strategy for this disease.

Identification of Galanin and Its Receptor GalR1 as Novel Determinants of Resistance to Chemotherapy and Potential Biomarkers in Colorectal Cancer

Purpose: A major factor limiting the effective clinical management of colorectal cancer (CRC) is resistance to chemotherapy. Therefore, the identification of novel, therapeutically targetable mediators of resistance is vital. Experimental design: We used a CRC disease-focused microarray platform to transcriptionally profile chemotherapy-responsive and nonresponsive pretreatment metastatic CRC liver biopsies and in vitro samples, both sensitive and resistant to clinically relevant chemotherapeutic drugs (5-FU and oxaliplatin). Pathway and gene set enrichment analyses identified candidate genes within key pathways mediating drug resistance. Functional RNAi screening identified regulators of drug resistance. Results: Mitogen-activated protein kinase signaling, focal adhesion, cell cycle, insulin signaling, and apoptosis were identified as key pathways involved in mediating drug resistance. The G-protein–coupled receptor galanin receptor 1 (GalR1) was identified as a novel regulator of drug resistance. Notably, silencing either GalR1 or its ligand galanin induced apoptosis in drug-sensitive and resistant cell lines and synergistically enhanced the effects of chemotherapy. Mechanistically, GalR1/galanin silencing resulted in downregulation of the endogenous caspase-8 inhibitor FLIPL, resulting in induction of caspase-8–dependent apoptosis. Galanin mRNA was found to be overexpressed in colorectal tumors, and importantly, high galanin expression correlated with poor disease-free survival of patients with early-stage CRC. Conclusion: This study shows the power of systems biology approaches to identify key pathways and genes that are functionally involved in mediating chemotherapy resistance. Moreover, we have identified a novel role for the GalR1/galanin receptor–ligand axis in chemoresistance, providing evidence to support its further evaluation as a potential therapeutic target and biomarker in CRC. Clin Cancer Res; 18(19); 5412–26. ©2012 AACR.

Test of Four Colon Cancer Risk-Scores in Formalin Fixed Paraffin Embedded Microarray Gene Expression Data

Background Prognosis prediction for resected primary colon cancer is based on the T-stage Node Metastasis (TNM) staging system. We investigated if four well-documented gene expression risk scores can improve patient stratification.Methods Microarray-based versions of risk-scores were applied to a large independent cohort of 688 stage II/III tumors from the PETACC-3 trial. Prognostic value for relapse-free survival (RFS), survival after relapse (SAR), and overall survival (OS) was assessed by regression analysis. To assess improvement over a reference, prognostic model was assessed with the area under curve (AUC) of receiver operating characteristic (ROC) curves. All statistical tests were two-sided, except the AUC increase.Results All four risk scores (RSs) showed a statistically significant association (single-test, P < .0167) with OS or RFS in univariate models, but with HRs below 1.38 per interquartile range. Three scores were predictors of shorter RFS, one of shorter SAR. Each RS could only marginally improve an RFS or OS model with the known factors T-stage, N-stage, and microsatellite instability (MSI) status (AUC gains < 0.025 units). The pairwise interscore discordance was never high (maximal Spearman correlation = 0.563) A combined score showed a trend to higher prognostic value and higher AUC increase for OS (HR = 1.74, 95% confidence interval [CI] = 1.44 to 2.10, P < .001, AUC from 0.6918 to 0.7321) and RFS (HR = 1.56, 95% CI = 1.33 to 1.84, P < .001, AUC from 0.6723 to 0.6945) than any single score.Conclusions The four tested gene expression–based risk scores provide prognostic information but contribute only marginally to improving models based on established risk factors. A combination of the risk scores might provide more robust information. Predictors of RFS and SAR might need to be different.

Comparison of diagnostic criteria for polycythaemia vera

Abstract Three sets of diagnostic criteria for polycythaemia vera (PY); the Polycythaemia Vera Study Group (PVSG) criteria (1975), the British Committee for Standards in Haematology (BCSH) criteria (1996) and the World Health Organisation (WHO) criteria (2001) have been described. We compared the ability of each set of criteria to accurately diagnose PV and differentiate it from secondary, apparent and idiopathic erythrocytosis. A cohort was drawn from a clinical database of erythrocytosis patients currently attending the Belfast City Hospital and the relevant information from the time of diagnosis for each patient was assessed according to each set of criteria, with the BCSH criteria used as a comparator. Sufficient data was available on 71 patients: 46 PV, 8 idiopathic, 8 apparent and 9 secondary erythrocytosis. The BCSH criteria classified 34 of 46 patients (73.9%) as PV and the WHO criteria had a sensitivity and specificity of 100% for classifying PV. For idiopathic and apparent erythrocytosis, the specificity of the WHO criteria, compared to the BCSH criteria, declined to 66.7 and 87.5%, respectively. The PVSG criteria were limited by the unavailability of required data for some patients resulting in a sensitivity and specificity of 50% for PV and specificity of 100% for all other groups. The Janus kinase 2 (JAK2) V617F mutation was present in 34 (85.3%) PV, 2 (50%) IE, 1 (50%) apparent and no secondary erythrocytosis cases. We concluded that the BCSH criteria were the most accurate diagnostic criteria for PV as they had an acceptable level of sensitivity and could differentiate between PV and other erythrocytoses.

Molecular profiling of signet ring cell colorectal cancer provides a strong rationale for genomic targeted and immune checkpoint inhibitor therapies

Background:Signet ring cell colorectal cancer (SRCCa) has a bleak prognosis. Employing molecular pathology techniques we investigated the potential of precision medicine in this disease.Methods:Using test (n=26) and validation (n=18) cohorts, analysis of mutations, DNA methylation and transcriptome was carried out. Microsatellite instability (MSI) status was established and immunohistochemistry (IHC) was used to test for adaptive immunity (CD3) and the immune checkpoint PDL1.Results:DNA methylation data split the cohorts into hypermethylated (n=18, 41%) and hypomethylated groups (n=26, 59%). The hypermethylated group predominant in the proximal colon was enriched for CpG island methylator phenotype (CIMP), BRAF V600E mutation and MSI (P<0.001). These cases also had a high CD3+ immune infiltrate (P<0.001) and expressed PDL1 (P=0.03 in intra-tumoural lymphoid cells). The hypomethylated group predominant in the distal colon did not show any characteristic molecular features. We also detected a common targetable KIT mutation (c.1621A>C) across both groups. No statistically significant difference in outcome was observed between the two groups.Conclusions:Our data show that SRCCa phenotype comprises two distinct genotypes. The MSI+/CIMP+/BRAF V600E+/CD3+/PDL1+ hypermethylated genotype is an ideal candidate for immune checkpoint inhibitor therapy. In addition, one fourth of SRCCa cases can potentially be targeted by KIT inhibitors.

Pharmacogenomic Profiling and Pathway Analyses Identify MAPK-Dependent Migration as an Acute Response to SN38 in p53 Null and p53-Mutant Colorectal Cancer Cells

The topoisomerase I inhibitor irinotecan is used to treat advanced colorectal cancer and has been shown to have p53-independent anticancer activity. The aim of this study was to identify the p53-independent signaling mechanisms activated by irinotecan. Transcriptional profiling of isogenic HCT116 p53 wild-type and p53 null cells was carried out following treatment with the active metabolite of irinotecan, SN38. Unsupervised analysis methods showed that p53 status had a highly significant impact on gene expression changes in response to SN38. Pathway analysis indicated that pathways involved in cell motility [adherens junction, focal adhesion, mitogen-activated protein kinase (MAPK), and regulation of the actin cytoskeleton] were significantly activated in p53 null cells, but not p53 wild-type cells, following SN38 treatment. In functional assays, SN38 treatment increased the migratory potential of p53 null and p53-mutant colorectal cancer cell lines, but not p53 wild-type lines. Moreover, p53 null SN38-resistant cells were found to migrate at a faster rate than parental drug-sensitive p53 null cells, whereas p53 wild-type SN38-resistant cells failed to migrate. Notably, cotreatment with inhibitors of the MAPK pathway inhibited the increased migration observed following SN38 treatment in p53 null and p53-mutant cells. Thus, in the absence of wild-type p53, SN38 promotes migration of colorectal cancer cells, and inhibiting MAPK blocks this potentially prometastatic adaptive response to this anticancer drug. Mol Cancer Ther; 11(8); 1724–34. ©2012 AACR.

Clinical Tumor Staging of Adenocarcinoma of the Esophagus and Esophagogastric Junction

TO THEEDITOR: We congratulate Davies et al 1 on the retrospective analysis of 400 patients treated with neoadjuvant chemotherapy followed by surgery at two high-volume London centers over the course of a decade. Rather than examining the prognostic effect of tumor regression, the authors focused on the downstaging effect of neoadjuvant chemotherapy as a predictor of recurrence-free and overall survival. Following adjustment for known clinicopathologic variables, tumor downstaging was associated with a reduction in the risk of recurrence and death, suggesting that major clinical decisions should be based on postchemotherapy staging. As mentioned by the authors, advanced diagnostic staging procedures, such as positron emission tomography-computed tomography (PET-CT),areimportantfordetectingnodaldiseaseanddistantmetastases.Toclassifyatumorasdownstaged,itisessentialtonotonlyaccurately define the pathologic stage following surgical resection but also to define the clinical stage before chemotherapy. Although much work has been carried out to standardize the reporting of pathologic stage, the use of clinical staging methodologies has varied over time and between centers. 2,3 StagingthatusesPET-CTcandetectoccultmetastaticdiseaseinup

Multicentre cohort study to define and validate pathological assessment of response to neoadjuvant therapy in oesophagogastric adenocarcinoma.

This multicentre cohort study sought to define a robust pathological indicator of clinically meaningful response to neoadjuvant chemotherapy in oesophageal adenocarcinoma.

‘Missed’ oesophageal adenocarcinoma and high grade dysplasia in Barrett’s oesophagus patients: a large population-based study

Background A systematic review suggests that 25% of oesophageal adenocarcinomas (OAC) are ‘missed’ at index endoscopy for Barrett’s oesophagus (BO); however, this included few population-based studies and may be an overestimate. Objective The objective of this article is to quantify the ‘missed’ rates of high-grade dysplasia (HGD) and OAC at index BO endoscopy. Methods Patients from the Northern Ireland BO register diagnosed between 1993 and 2010 (n = 13,159) were linked to the Northern Ireland Cancer Registry to identify patients who developed OAC or HGD. Logistic regression analysis compared characteristics of ‘missed’ vs ‘incident’ HGD/OAC, defined as diagnoses within 3–12 months vs >1 year after incident BO, respectively. Results A total of 267 patients were diagnosed with HGD/OAC ≥3 months after BO diagnosis, of whom 34 (12.7%) were potentially ‘missed’. The proportion of ‘missed’ HGD/OAC was 25% among BO patients with low-grade dysplasia (LGD) and 9% among non-dysplastic BO patients. Older age and BO-LGD carried a higher risk of ‘missed’ HGD/OAC. Non-dysplastic BO patients were more often diagnosed with a ‘missed’ OAC (rather than HGD; 89%), compared with BO-LGD patients (40%). Conclusions Approximately one in 10 HGD/OAC cases are ‘missed’ at incident BO diagnosis, which is significant but lower than previous reports. However, ‘missed’ HGD/OAC cases represent only 0.26% of all BO patients.