
High-risk primary biliary cholangitis (PBC), defined by inadequate response at one year to Ursodeoxycholic acid (UDCA), is associated with disease progression and liver transplantation. Stratifying high-risk patients early would facilitate improved approaches to care. Using long-term follow-up data to define risk at presentation, 6 high-risk PBC patients and 8 low-risk patients were identified from biopsy, transplant and biochemical archival records. Formalin-fixed paraffin-embedded (FFPE) liver biopsies taken at presentation were graded (Scheuer and Nakanuma scoring) and gene expression analysed using the NanoString® nCounter PanCancer Immunity 770-gene panel. Principle component analysis (PCA) demonstrated discrete gene expression clustering between controls and high- and low-risk PBC. High-risk PBC was characterised by up-regulation of genes linked to T-cell activation and apoptosis, INF-γ signalling and leukocyte migration and down-regulation of those linked to the complement pathway. CDKN1a, up-regulated in high-risk PBC, correlated with significantly increased expression of its gene product, the senescence marker p21WAF1/Cip, by biliary epithelial cells. Our findings suggest high- and low-risk PBC are biologically different from disease outset and senescence an early feature in high-risk disease. Identification of a high-risk 'signal' early from standard FFPE tissue sections has clear clinical utility allowing for patient stratification and second-line therapeutic intervention.
Adult, Cyclin-Dependent Kinase Inhibitor p21, Male, Cholangitis, Biopsy, PBC, UDCA, Humans, Gene Regulatory Networks, RNA, Messenger, NanoString® nCounter PanCancer Immunity Panel, Aged, Gene Expression Profiling, Middle Aged, Prognosis, Gene Expression Regulation, Disease Progression, Female, Stratification, Transcriptome, Biomarkers, Research Paper
Adult, Cyclin-Dependent Kinase Inhibitor p21, Male, Cholangitis, Biopsy, PBC, UDCA, Humans, Gene Regulatory Networks, RNA, Messenger, NanoString® nCounter PanCancer Immunity Panel, Aged, Gene Expression Profiling, Middle Aged, Prognosis, Gene Expression Regulation, Disease Progression, Female, Stratification, Transcriptome, Biomarkers, Research Paper
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