Epigenomic analysis of biliary tract cancer identifies subtypes with different immune characteristics and clinical outcomes.
e16153 Background: Biliary tract cancer (BTC) is an aggressive malignancy with poor prognosis and limited treatment options. The epigenome-associated multi-dimensional studies for BTC are limited. Here, we proposed a DNA methylation-based classification scheme and investigated the associations between methylation and multi-dimensional data including clinicopathological features, genetic aberrations, and prognosis. Methods: Multi-dimensional data concerning mutation, DNA methylation, and clinical data from 105 BTC patients who received surgical resection (gallbladder cancer [GBC], n=48, cholangiocarcinoma [CCA], n=57) were analyzed. Differentially methylated blocks (DMBs) in GBCs and CCAs were identified by comparing tumors and adjacent tissues. Methylation-based subtyping was performed via non-supervised consensus clustering. Results: The differentially methylated blocks (DMBs) in GBCs and CCAs are highly overlapping. Based on the common DMBs of GBCs and CCAs, the classifier yielded high sensitivity of 95.2% and specificity of 96.0%. Hypomethylated genes were enriched in pathways of transmemberane receptor and ion binding, while hypermethylation occurred in genes concerning DNA binding transcription activity. By non-supervised clustering of common DMBs, 6 clusters with different degrees of methylation change were identified. Higher methylation alteration (cluster risk-high) was associated with more copy number variation and shorter OS. By LASSO regression, a 12-gene prognostic model was trained and validated (Table). As for immune characteristics, the methylation of CD8A gene was lower in the cluster risk-high group, and this association was validated in the TCGA-cholangiocarcinoma cohort. In addition, lower methylation change was associated with higher BCR/TCR diversity, immune cell infiltration, and PD-L1 and CTLA4 mRNA expression. Conclusions: In BTC, methylation patterns may serve as a robust indicator of immune-related features and prognosis. Our integrative analysis highlights the association between genomic and epigenomic features, and provides insights into the molecular heterogeneity, and the potential therapeutic significance in biliary tract malignancies. Included methylation sites in the LASSO model.[Table: see text]