Citations

Abstract The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English. Since our last report, a total of 2239 new HPO terms and 49235 new HPO annotations were developed, many in collaboration with external groups in the fields of psychiatry, arthrogryposis, immunology and cardiology. The Medical Action Ontology (MAxO) is a new effort to model treatments and other measures taken for clinical management. Finally, the HPO consortium is contributing to efforts to integrate the HPO and the GA4GH Phenopacket Schema into electronic health records (EHRs) with the goal of more standardized and computable integration of rare disease data in EHRs.

Introduction Hepatocellular carcinoma (HCC) is an important but infrequent outcome in primary biliary cirrhosis (PBC). Improved risk evaluation is an important goal for stratified surveillance. Methods Risk-factor analysis of the ‘Global PBC Study Group’ comprising 15 centres across North America and Europe spanning >40-years follow-up was performed using Cox proportional hazards model, logistic regression and Kaplan-Meier estimates (SPSSv21). Results Of 3546 patients with PBC (med. follow-up 8.6 yrs; IQR 4.4–14.1), 131 developed HCC. Excluding those who developed HCC within 12 months of PBC diagnosis (n = 23), median time to HCC was 12.7 yrs (6.9–16.8) and subsequent survival 1.1 yrs. (0.2–2.7). At diagnosis, factors associated with HCC development were male gender (adj. HR: 4.4;1.4–12.2, p = 0.014) and thrombocytopenia (adj. HR: 4.5;1.4–14.8, p = 0.012). Use of ursodeoxycholic acid per-se was not associated with future risk of HCC, but stratification of risk by biochemical response at 12 months was effective by Rotterdam (adj. HR: 8.9;2.1–37.3, P = 0.003), Paris-I (adj. HR: 7.6;2.0–29.0, p = 0.003) or Toronto criteria (HR: 5.6;1.6–18.8, P = 0.006). Five (4.6 vs. 0.2%) and 10-year (13%vs.1.9%) HCC incidence was significantly increased for biochemical non-responders (p = 2.2 × 10 –9 ), and by multivariate analysis non-response remained the only significant risk factor. Conclusion Our uniquely powered cohort allows robust demonstration that 12-month biochemical non-response is associated with an increased risk of developing HCC in PBC. Routine surveillance in those achieving biochemical response is unlikely cost-effective. Disclosure of Interest None Declared.