Zuo, Mingxin

263 Background: DNA repair genomic alterations (GAs) have been identified in 12% of Intrahepatic cholangiocarcinoma (IHCCA), 26% of extrahepatic CCA (EHCCA) and 8% of gallbladder cancer (GBC) patients (pts) ( Cancer 2016;122:3838–3847). Recently, the Cancer Genome Atlas (TCGA) has described more than 20 mutated DNA repair genes, many of which were not previously represented in prior reports. DNA repair GAs including MSI are associated with higher tumor mutational burden (TMB). Our study aim is to identify variations in the frequency of DNA repair GAs in IHCCA, EHCCA, and GBC. Methods: Hybrid capture-based next-generation sequencing of 422 fixed formalin paraffin embedded (FFPE) tissue blocks of BTC including; 270 IHCCA, 60 EHCCA, and 92 GBC was performed. We included 20 DNA repair genes and classified them as "direct" DNA repair genes ( ATM, ATR, BRCA1, BRCA2, FANCA, FANCD2, MLH1, MSH2, MSH6, PALB2, POLD1, POLE, PRKDC, RAD50, SLX4) and "caretaker" genes that induce genomic instability ( BAP1, CDK12, MLL3, TP53, BLM). We calculated TMB on 1.1 Mb of sequenced DNA in 205 tissue specimens [138 IHCCA, 23 EHCCA, and 44 GBC] and classified into three groups; high (TMB-H; ≥ 20 mut/Mb), intermediate (TMB-I; 6-19mut/Mb) and low (TMB-L; < 6mut/Mb). Results: A distinct pattern of DNA repair GAs in each tumor type was detected. (Table 1). DNA repair GAs were more commonly noted in both EHCCA and GB (63%) as compared with IHCAA (45.2%) (p= .002). Direct DNA repair GAs were highest within EHCCA (25%), while indirect DNA GAs were predominant in GBC (59.8%) (p= 0.04 and 0.001, respectively). The frequency of TMB-H and TMB-I differed significantly between BTC subtypes. Pts with EHCCA and GBC had significantly higher TMB-H and TMB-I versus IHCCA. Conclusions: The frequency of DNA repair GA’s is higher in EHCCA and GBC as compared with IHCCA. These results may have implications for clinical trials with DNA repair inhibitors and immune checkpoint blockers. [Table: see text]

4086 Background: Mutations in DNA repair pathway were identified in 13% of Biliary Tract Cancers (BTC) [ Cancer2016;122:3838–3847]. High TMB tumors including melanoma, lung cancer and those with microsatellite instability (MSI-H) are associated with susceptibility to immune blockade using checkpoint inhibitors. TMB data in BTC is limited and its association with actionable somatic mutation (mut) profiles in BTC is unknown. Methods: Comprehensive genomic profiling (CGP) of 309 FFPE tissue blocks of BTC pts with a hybrid capture of all coding exons of 236 cancer-related genes and 47 introns of 19 genes rearranged in cancer was done using FoundationOne. Base substitutions, indels, gene fusion/rearrangements, TMB, and MSI status were assessed. TMB was calculated by counting mutations across a 1.25Mb region and classified into high (TMBH; ≥20 mut/Mb), intermediate (TMBI; 6 - 19mut/Mb) and low (TMBL; < 6mut/Mb). MSI high (MSIH) and Stable (MSS) status was assigned by a computational algorithm examining 114 intronic homopolymer loci. Patients with TMB ≥6 mut/Mb (N = 60) were included in the clinical correlative portion of this study. Results: Sixty patients with TMB ≥6 mut were identified out of 309 pts of which 9 (15%) were TMBH and 51 (85%) were TMBI. These included 3 (5%) MSIH and 18 (30 %) MSS. The median age was 59 years (range: 29-86), 35 (58%) were females, majority were intrahepatic cholangiocarcinoma (n = 31; 52%) and 28 (47%) presented with advanced disease at diagnosis. Twenty three (38%) pts had received radiation therapy, 28 (47%) surgery and 3 (5%) received immunotherapy. Most frequent co-existing mut seen was TP53 (N = 35; 58%). APC mut was seen in 7 (12%) pts. DNA repair pathway muts ( MSH6, BRCA1, BRCA2, ATM, MLH1, or MSH2 genes) were identified in 78% of TMBH versus 16% in TMBI cases (p < 0.0001). Frequency of PIK3CA mut differed significantly between TMBH and TMBI (44% vs 10%, p < 0.0001). Pts with TMBI had a significantly better median OS (110 weeks) as compared to TMBH (43 weeks) (p = 0.003). Conclusions: DNA repair pathway and PIK3CA mut maybe associated with TMBH in BTC. A better understanding of TMB and associated actionable mutations in BTC may be of value for the management of BTC patients with targeted agents and immunotherapy.