Integrated safety analysis of filgotinib for ulcerative colitis: Results from SELECTION and SELECTIONLTE

BACKGROUND: Filgotinib 200 mg (FIL200) is an approved treatment for adults with moderately to severely active ulcerative colitis (UC). AIM: To report integrated safety data from the phase 2b/3 SELECTION study (NCT02914522) and its ongoing long-term extension study SELECTIONLTE (NCT02914535). METHODS: Safety outcomes were analysed in adults with moderately to severely active UC who received FIL200, filgotinib 100 mg (FIL100) or placebo once daily throughout the 11-week SELECTION induction study, the 47-week SELECTION maintenance study (if applicable) and SELECTIONLTE (if applicable). Exposure-adjusted incidence rates (EAIRs) per 100 censored patient-years of exposure with 95% confidence intervals were reported for treatment-emergent adverse events (AEs). Certain AE data were presented in subgroups, including age and prior biologic exposure status. RESULTS: This interim analysis included 1348 patients representing 3326.2 patient-years of exposure. Baseline characteristics of patients entering SELECTION were similar across treatment groups. EAIRs for serious infection, thromboembolic events and major adverse cardiovascular events (MACE) were consistently low across treatment groups. Most patients with MACE had cardiovascular risk factors. The EAIR for herpes zoster was numerically higher for FIL200 than for placebo. Infection incidences were numerically higher in biologic-experienced than biologic-naive patients. Higher incidences of certain AEs in patients 65 years of age or older were as expected. Four deaths occurred, including three cardiovascular deaths, none of which was considered related to filgotinib. CONCLUSION: FIL200 and FIL100 were well tolerated with no unexpected safety signals in patients with moderately to severely active UC, regardless of previous biologic exposure or age

Integration of Known DNA, RNA and Protein Biomarkers Provides Prediction of Anti-TNF Response in Rheumatoid Arthritis: Results from the COMBINE Study

Abstract OBJECTIVE: In rheumatoid arthritis (RA) several recent efforts have sought to discover means of predicting which patients would benefit from treatment. However, results have been discrepant with few successful replications. Our objective was to build a biobank with DNA, RNA and protein measurements to test the claim that the current state-of-the-art precision medicine will benefit RA patients. METHODS: We collected 451 blood samples from 61 healthy individuals and 185 RA patients initiating treatment, before treatment initiation and at a 3 month follow-up time. All samples were subjected to high-throughput RNA sequencing, DNA genotyping, extensive proteomics and flow cytometry measurements, as well as comprehensive clinical phenotyping. Literature review identified 2 proteins, 52 single-nucleotide polymorphisms (SNPs) and 72 gene-expression biomarkers that had previously been proposed as predictors of Tumor Necrosis Factor (TNF) inhibitor response (ΔDAS28-CRP), RESULTS: From these published TNFi biomarkers we found that 2 protein, 2 SNP and 8 mRNA biomarkers could be replicated in the 59 TNF initiating patients. Combining these replicated biomarkers into a single signature we found that we could explain 51% of the variation in ΔDAS28-CRP. This corresponds to a sensitivity of 0.73 and specificity of 0.78 for the prediction of three month ΔDAS28-CRP better than −1.2. CONCLUSIONS: The COMBINE biobank is currently the largest collection of multi-omics data from RA patients with high potential for discovery and replication. Taking advantage of this we surveyed the current state-of-the-art of drug-response stratification in RA, and identified a small set of previously published biomarkers available in peripheral blood which predicts clinical response to TNF blockade in this independent cohort