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ObjectiveGastric cancer (GC) comprises multiple molecular subtypes. Recent studies have highlighted mesenchymal-subtype GC (Mes-GC) as a clinically aggressive subtype with few treatment options. Combining multiple studies, we derived and applied a consensus Mes-GC classifier to define the Mes-GC enhancer landscape revealing disease vulnerabilities.DesignTranscriptomic profiles of ~1000 primary GCs and cell lines were analysed to derive a consensus Mes-GC classifier. Clinical and genomic associations were performed across >1200 patients with GC. Genome-wide epigenomic profiles (H3K27ac, H3K4me1 and assay for transposase-accessible chromatin with sequencing (ATAC-seq)) of 49 primary GCs and GC cell lines were generated to identify Mes-GC-specific enhancer landscapes. Upstream regulators and downstream targets of Mes-GC enhancers were interrogated using chromatin immunoprecipitation followed by sequencing (ChIP-seq), RNA sequencing, CRISPR/Cas9 editing, functional assays and pharmacological inhibition.ResultsWe identified and validated a 993-gene cancer-cell intrinsic Mes-GC classifier applicable to retrospective cohorts or prospective single samples. Multicohort analysis of Mes-GCs confirmed associations with poor patient survival, therapy resistance and few targetable genomic alterations. Analysis of enhancer profiles revealed a distinctive Mes-GC epigenomic landscape, with TEAD1 as a master regulator of Mes-GC enhancers and Mes-GCs exhibiting preferential sensitivity to TEAD1 pharmacological inhibition. Analysis of Mes-GC super-enhancers also highlighted NUAK1 kinase as a downstream target, with synergistic effects observed between NUAK1 inhibition and cisplatin treatment.ConclusionOur results establish a consensus Mes-GC classifier applicable to multiple transcriptomic scenarios. Mes-GCs exhibit a distinct epigenomic landscape, and TEAD1 inhibition and combinatorial NUAK1 inhibition/cisplatin may represent potential targetable options.

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Intestinal metaplasia (IM) is a pre-malignant condition of the gastric mucosa associated with increased gastric cancer (GC) risk. We analyzed 1256 gastric samples (1152 IMs) from 692 subjects through a prospective 10-year study. We identified 26 IM driver genes in diverse pathways including chromatin regulation (ARID1A) and intestinal homeostasis (SOX9), largely occurring as small clonal events. Analysis of clonal dynamics between and within subjects, and also longitudinally across time, revealed that IM clones are likely transient but increase in size upon progression to dysplasia, with eventual transmission of somatic events to paired GCs. Single-cell and spatial profiling highlighted changes in tissue ecology and lineage heterogeneity in IM, including an intestinal stem-cell dominant cellular compartment linked to early malignancy. Expanded transcriptome profiling revealed expression-based molecular subtypes of IM, including a body-resident "pseudoantralized" subtype associated with incomplete histology, antral/intestinal cell types, ARID1A mutations, inflammation, and microbial communities normally associated with the healthy oral tract. We demonstrate that combined clinical-genomic models outperform clinical-only models in predicting IMs likely to progress. Our results raise opportunities for GC precision prevention and interception by highlighting strategies for accurately identifying IM patients at high GC risk and a role for microbial dysbiosis in IM progression.

Background Enhancers are distal cis-regulatory elements required for cell-specific gene expression and cell fate determination. In cancer, enhancer variation has been proposed as a major cause of inter-patient heterogeneity—however, most predicted enhancer regions remain to be functionally tested. Methods We analyzed 132 epigenomic histone modification profiles of 18 primary gastric cancer (GC) samples, 18 normal gastric tissues, and 28 GC cell lines using Nano-ChIP-seq technology. We applied Capture-based Self-Transcribing Active Regulatory Region sequencing (CapSTARR-seq) to assess functional enhancer activity. An Activity-by-contact (ABC) model was employed to explore the effects of histone acetylation and CapSTARR-seq levels on enhancer-promoter interactions. Results We report a comprehensive catalog of 75,730 recurrent predicted enhancers, the majority of which are GC-associated in vivo (> 50,000) and associated with lower somatic mutation rates inferred by whole-genome sequencing. Applying CapSTARR-seq to the enhancer catalog, we observed significant correlations between CapSTARR-seq functional activity and H3K27ac/H3K4me1 levels. Super-enhancer regions exhibited increased CapSTARR-seq signals compared to regular enhancers, even when decoupled from native chromatin contexture. We show that combining histone modification and CapSTARR-seq functional enhancer data improves the prediction of enhancer-promoter interactions and pinpointing of germline single nucleotide polymorphisms (SNPs), somatic copy number alterations (SCNAs), and trans-acting TFs involved in GC expression. We identified cancer-relevant genes (ING1, ARL4C) whose expression between patients is influenced by enhancer differences in genomic copy number and germline SNPs, and HNF4α as a master trans-acting factor associated with GC enhancer heterogeneity. Conclusions Our results indicate that combining histone modification and functional assay data may provide a more accurate metric to assess enhancer activity than either platform individually, providing insights into the relative contribution of genetic (cis) and regulatory (trans) mechanisms to GC enhancer functional heterogeneity.

ObjectiveGastric cancer (GC) is a leading cause of cancer mortality, withARID1Abeing the second most frequently mutated driver gene in GC. We sought to decipherARID1A-specific GC regulatory networks and examine therapeutic vulnerabilities arising fromARID1Aloss.DesignGenomic profiling of GC patients including a Singapore cohort (>200 patients) was performed to derive mutational signatures ofARID1Ainactivation across molecular subtypes. Single-cell transcriptomic profiles ofARID1A-mutated GCs were analysed to examine tumour microenvironmental changes arising fromARID1Aloss. Genome-wide ARID1A binding and chromatin profiles (H3K27ac, H3K4me3, H3K4me1, ATAC-seq) were generated to identify gastric-specific epigenetic landscapes regulated by ARID1A. Distinct cancer hallmarks ofARID1A-mutated GCs were converged at the genomic, single-cell and epigenomic level, and targeted by pharmacological inhibition.ResultsWe observed prevalentARID1Ainactivation across GC molecular subtypes, with distinct mutational signatures and linked to a NFKB-driven proinflammatory tumour microenvironment.ARID1A-depletion caused loss of H3K27ac activation signals atARID1A-occupied distal enhancers, but unexpectedly gain of H3K27ac at ARID1A-occupied promoters in genes such asNFKB1andNFKB2. Promoter activation inARID1A-mutated GCs was associated with enhanced gene expression, increased BRD4 binding, and reduced HDAC1 and CTCF occupancy. Combined targeting of promoter activation and tumour inflammation via bromodomain and NFKB inhibitors confirmed therapeutic synergy specific toARID1A-genomic status.ConclusionOur results suggest a therapeutic strategy forARID1A-mutated GCs targeting both tumour-intrinsic (BRD4-assocatiated promoter activation) and extrinsic (NFKB immunomodulation) cancer phenotypes.

Mutations in the DNA mismatch repair gene MSH2 are causative of microsatellite instability (MSI) in multiple cancers. Here, we discovered that besides its well-established role in DNA repair, MSH2 exerts a novel epigenomic function in gastric cancer (GC). Unbiased CRISPR-based mass spectrometry combined with genome-wide CRISPR functional screening revealed that in early-stage GC MSH2 genomic binding is not randomly distributed but rather is associated specifically with tumor-associated super-enhancers controlling the expression of cell adhesion genes. At these loci, MSH2 genomic binding was required for chromatin rewiring, de novo enhancer-promoter interactions, maintenance of histone acetylation levels, and regulation of cell adhesion pathway expression. The chromatin function of MSH2 was independent of its DNA repair catalytic activity but required MSH6, another DNA repair gene, and recruitment to gene loci by the SWI/SNF chromatin remodeler SMARCA4/BRG1. Loss of MSH2 in advanced GCs was accompanied by deficient cell adhesion pathway expression, epithelial-mesenchymal transition, and enhanced tumorigenesis in vitro and in vivo. However, MSH2-deficient GCs also displayed addiction to BAZ1B, a bromodomain-containing family member, and consequent synthetic lethality to bromodomain and extra-terminal motif (BET) inhibition. Our results reveal a role for MSH2 in GC epigenomic regulation and identify BET inhibition as a potential therapy in MSH2-deficient gastric malignancies.

43 Background: Platinum and 5-Fluorouracil (5FU) neoadjuvant chemotherapy followed by surgery is one of the standard approaches for patients with resectable EAC. To date, there are no predictive biomarkers of chemotherapy benefit. We hypothesize that DNA methylation of genes in key biologic and oncogenic pathways predict for chemotherapy benefit in EAC. Methods: In the OE02 trial, 802 patients with resectable esophageal carcinoma were randomised to surgery alone (S) versus two cycles of cisplatin and 5FU chemotherapy followed by surgery (CS). DNA was extracted from 213 EAC resection specimens (110 from the (CS) arm, 103 from the (S) arm). DNA methylation was analyzed at 1505 CpG sites within 807 genes using the Illumina GoldenGate platform. Cox proportional hazard analysis was performed to identify predictive markers of survival in (CS) arm; non-negative matrix factorization (NMF) was used to delineate methylation signatures. Results: Methylation status of 1505 CpG sites had no statistical difference between the (CS) and (S) arms. In the (CS) arm, 87 (5.7%) CpG sites were initially identified as promising candidates in univariate analysis (p < 0.05 cutoff). NMF generated a 4 CpG site signature which divided patients into poor risk and good risk. Genes involved in the signature include RUNX1T1, CCND2, MST1R and MMP14. Survival was significantly different between poor risk and good risk in (CS) arm (HR 0.32, 95% CI: 0.21 to 0.52, p < 0.0001). No difference in survival was detected in the surgery arm (HR 1.12, 95% CI: 0.76 to 1.80, p = 0.48), suggesting the signature served as a predictive and not prognostic biomarker. Methylation signature remained an independent predictor of survival in multivariate analysis with clinicopathologic factors (along with age and vascular invasion). Conclusions: Chemotherapy does not appear to change methylation status of EAC. Hypermethylation of RUNX1T1, CCND2 and hypomethylation of MST1R and MMP14 leads to significantly decreased benefit from chemotherapy in EA. We describe an epigenetic signature which may serve as a predictive biomarker for chemotherapy benefit using data form the largest bank of DNA methylation in EA reported to date.