El-Refai, Sherif

PURPOSE Biliary tract cancers (BTCs) are aggressive cancers that carry a poor prognosis. An enhanced understanding of the immune landscape of anatomically and molecularly defined subsets of BTC may improve patient selection for immunotherapy and inform immune-based combination treatment strategies. METHODS We analyzed deidentified clinical, genomic, and transcriptomic data from the Tempus database to determine the mutational frequency and mutational clustering across the three major BTC subtypes (intrahepatic cholangiocarcinoma [IHC], extrahepatic cholangiocarcinoma, and gallbladder cancer). We subsequently determined the relationship between specific molecular alterations and anatomical subsets and features of the BTC immune microenvironment. RESULTS We analyzed 454 samples of BTC, of which the most commonly detected alterations were TP53 (42.5%), CDKN2A (23.4%), ARID1A (19.6%), BAP1 (15.5%), KRAS (15%), CDKN2B (14.2%), PBRM1 (11.7%), IDH1 (11.7%), TERT (8.4%), KMT2C (10.4%) and LRP1B (8.4%), and FGFR2 fusions (8.7%). Potentially actionable molecular alterations were identified in 30.5% of BTCs including 39.1% of IHC. Integrative cluster analysis revealed four distinct molecular clusters, with cluster 4 predominately associated with FGFR2 rearrangements and BAP1 mutations in IHC. Immune-related biomarkers indicative of an inflamed tumor-immune microenvironment were elevated in gallbladder cancers and in cluster 1, which was enriched for TP53, KRAS, and ATM mutations. Multiple common driver genes, including TP53, FGFR2, IDH1, TERT, BRAF, and BAP1, were individually associated with unique BTC immune microenvironments. CONCLUSION BTC subtypes exhibit diverse DNA alterations, RNA inflammatory signatures, and immune biomarkers. The association between specific BTC anatomical subsets, molecular alterations, and immunophenotypes highlights new opportunities for therapeutic development.

3067 Background: The KEYNOTE-177 trial demonstrated pembrolizumab’s superiority over first-line chemotherapy in patients with MSI-H/dMMR mCRC. However, in a subgroup analysis, patients with KRAS or NRAS mutations did not show the same favorable PFS benefit with PD-1 blockade therapy (HR 1,19; CI 0.68-2,07). The impact of RAS mutations on the immunologic characteristics of the TME of MSI-H/dMMR CRC has not been well characterized. Methods: A retrospective review of deidentified records of patients with MSI-H/dMMR CRC tumors was conducted using next-generation sequencing data (Tempus |xT assay, DNA-seq of 595-648 genes at 500x coverage, and full transcriptome RNA-seq). MSI-H determined by assessment of 239 loci by NGS. Several immune markers were assessed, including tumor mutational burden (TMB), neoantigen tumor burden (NTB, ScanNeo), PD-L1 expression, immune infiltration, and canonical immune pathways (82 geneset signatures). Results: A total of 463 MSI-H/dMMR CRCs were analyzed, of which 110 (24%) tumors harbored RAS mutations ( RASmut) [ KRAS: 93%, NRAS 6% and HRAS 1%}, while 353 were RAS-wild-type ( RASWT). Compared to MSI-H/dMMR RASWT, MSI-H/dMMR RASmut tumors were more frequently identified in males (53% vs. 38%; P= 0.005), and younger patients (median age: 57 yrs vs. 71 yrs, P< 0.001). Although there were no significant differences in median TMB (40 mut/MB for both, p = 0.9) or frequency of TMB-high status (≥10 mut/MB) between the two groups, RASmuttumors tended to have a lower tumor NTB (16 vs. 12 neoAg/Mb, P <0.001) and lower % CD8 T cell but higher % CD4 T cell infiltration (P < 0.05). Significant differences were observed in genomic alterations co-occurring with RASmut compared to RASWT (e.g., MLH1 (23% vs. 8.8%, P < 0.001), MSH6 (36% vs. 24%, P = 0.017), APC (60% vs. 20%, P< 0.001), ARID1A (54% vs 30%, P< 0.001), PIK3CA (36% vs 19%, P< 0.001), and TP53 (32% vs. 19%, P = 0.014). Pathway enrichment analysis identified 14 differentially expressed pathways among RASmut tumors. Four pathways showed significant upregulation, including Hedgehog, Wnt, TGFβ, and cancer stem cell pathways. Ten pathways of interest showed significant downregulation among RASmut tumors. The majority (9/10) were immune-related, including cytokine signaling [ JAK-STAT, TGFβ, TH1], innate immune [ NK cells], and adaptive immune events (CD8 T cell, Tregs)]. Conclusions: MSI-H/dMMR CRCs harboring RASmut exhibited overall upregulated WNT/SHH pathway activity, coupled with reduced NTB, cytokine signaling, and innate and adaptive immune events. TGFβ is pleiotropic, and different members were associated with variable modulation. These data suggest that MSI-H/dMMR CRCs harboring RAS mutations are less immunogenic and appeared to contain a TME that is less sensitive to immune checkpoint blockade than MSI-H/dMMR RAS wt CRCs.

3066 Background: The BRAFV600E mutation is associated with the hypermethylator phenotype CIMP, which can also lead to the MSI-H phenotype. BRAFV600E mutation and MSI-H/dMMR status seem to be biologically intertwined; however, the impact of coexisting BRAFV600E mutations on the TME and immunometabolomic features of MSI-H/dMMR CRC tumors is not well characterized. Methods: A retrospective review of deidentified records of patients with MSI-H/dMMR CRC tumors was conducted using next-generation sequencing data (Tempus |xT assay: DNA-seq of 595-648 genes at 500x coverage, and full transcriptome RNA-seq). Several immune markers of tumor immunogenicity in BRAF wild-type ( BRAFwt) vs. V600E-mutated (BRAFV600E) tumors were assessed, including tumor mutational burden (TMB), neoantigen tumor burden (NTB, ScanNeo), PD-L1 expression, immune infiltration, and canonical immuno-metabolomic pathways (82 geneset signatures). Results: A total of 459 MSI-H/dMMR CRC tumors were analyzed, of which 123 (27%) tumors harbored BRAFV600Emutations, and 336 (73%) were BRAFwt. MSI-H/dMMR BRAFV600E tumors were more frequently identified in females (69% vs. 55%; P= 0.01), non-Hispanic or non-Latino (100% vs. 73%; P =0.001), and older patients (median age: 76 yrs vs. 62 yrs; P< 0.001). Compared to BRAFWT, BRAFV600E tumors exhibited significantly higher TMB (Median: 49 mut/MB vs. 36 mut/MB; P < 0.001) and were more frequently associated with TMB-High status (> 10 mut/MB; 100% vs. 95%; P = 0.008); however, no significant differences were observed with tumor NTB, immune score, or T cell infiltration (CD4 or CD8). NK cell infiltration was higher in the BRAFV600Ecohort (< 0.001). When compared to BRAFWT tumors , BRAFV600E tumors harbored a greater frequency of mutations in MSH6(42% vs. 20%), B2M (33% vs. 16%), BRCA2 (31% vs. 12%), ATM (23% vs. 12%), and TP53 (30% vs. 19%) but a lower frequency of MSH2 (3.3% vs. 11%), all P< 0.05. Pathway enrichment analysis identified 10 significantly altered signaling pathways, most of which related to stromal/immune cell signaling and metabolism. Five were upregulated among BRAFV600E tumors: glycerophospholipid, galactose, cyclin-dependent cell signaling; Nucleotide, and TH1 inflammation. Five pathways were downregulated (Wnt, Notch, TH17 inflammation, amino sugar, and cancer stem cell signaling). Conclusions: MSI-H/dMMR BRAFV600E CRCs undergo broad metabolic reprogramming (e.g., glycerophospholipidgalactose, nucleotide). A rise in lipid metabolism, particularly with NK inflammation, suggests that BRAFV600Emutated tumors may be associated with a non-classical immune component. BRAFV600E and BRAFwt CRCs exhibited similar NTB and T cell infiltration, suggesting that both are likely to benefit from immune checkpoint inhibitors.

4023 Background: Biliary tract cancers (BTC) are increasingly subtyped by molecular alterations, but little is known about the relationship between gain-of-function mutations and the RNA transcript expression of immune-related pathways. Methods: A sample of retrospective, clinicogenomic and transcriptomic data from de-identified records of patients with BTC in the Tempus database was selected. We then investigated the relationship between the mutational landscape and immune-related RNA signatures of different anatomic and genomic BTC subtypes. Results: The cohort included 455 samples of intrahepatic bile duct (IH) (n=267), gallbladder (GB) (n=153), and extrahepatic bile duct (EH) (n=35) cancer subtypes. Across all subtypes, we detected alterations in TP53 (43.8%), ARID1A (19.8%), KMT2C (18.2%), BAP1 (14.6%), KRAS (12.7%), TERT (12.0%), IDH1 (11.4%), KMT2D (11.0%), LRP1B (11.0%), and PBRM1 (10.7%), along with FGFR2 fusions (2.6%). Potentially actionable biomarkers ( FGFR2 and NTRK1-3 fusions, IDH1 and BRAFV600E mutations, tumor mutational burden [TMB]>10, HER2 expression, and/or microsatellite instability) were identified in 21.1% of all BTC and 28.6% of IH samples. Mutually exclusive alterations observed between subtypes were TP53 & BAP1, KRAS & BAP1, TP53 & IDH1, KRAS & IDH1, and SMAD4 & BAP1 ( P < 0.001 for all). GB was more inflamed based on RNA signatures and classical immune biomarkers, including PD-L1 and TMB. RNA signature analyses revealed a higher expression of immune-related pathways in GB than IH ( P = 0.001) with no differences in comparison with EH. PD-L1 expression and continuous TMB were elevated in GB versus the other anatomical subtypes. Significant associations were noted between particular genetic mutations and immune profiling features (table). Conclusions: BTC subtypes are diverse in DNA alterations, RNA inflammatory signatures, and immune markers. Notably, potentially actionable biomarkers were identified in a sizable portion of the cohort and varied significantly between subtypes. These results provide guidance for targeted therapy development and support the use of multimodal immune profiling for BTC. For example, GB-specific clinical trials may be considered due to the relative increase in immune-related biomarkers observed in GB and the historically limited success of BTC trials.[Table: see text]