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Epigenetic heterogeneity hotspots in human liver disease progression [MethylationEPIC Beadchip]

ABSTRACT: Disruption of the epigenome is a hallmark of human disease including liver cirrhosis and hepatocellular carcinoma (HCC). While genetic heterogeneity is an established effector of pathologic phenotypes, epigenetic heterogeneity is less well understood. Environmental exposures including hepatitis C viral (HCV) infection and metabolic syndrome alter the liver-specific DNA methylation landscape and influence the onset of liver cancer. Given that currently available treatments are unable to target the most frequently mutated genes in HCC, there is an unmet need for novel therapeutic strategies to prevent or reverse hepatic tumorigenesis, which the epigenome may provide. We performed genome-wide profiling of DNA methylation, copy number, and gene expression landscapes from multiple liver regions from 31 patients with liver disease to examine their crosstalk and define the individual and combinatorial contribution of these processes to liver disease progression. We identify epigenetic heterogeneity hotspots that are conserved across patients. Elevated epigenetic heterogeneity associates with increases in gene expression heterogeneity. Cirrhotic regions comprise two distinct cohorts, one exclusively epigenetic, and a second where epigenetic and copy number variations collaborate. Epigenetic heterogeneity hotspots are enriched for genes central to liver function (e.g., HNF1A) and known tumor suppressors (e.g., RASSF1A). These hotspots encompass genes including ACSL1, ACSL5, MAT1A, and ELFN1, which have phenotypic effects in cell line functional screens, supporting their relevance to hepatocarcinogenesis. Substantial epigenetic heterogeneity arises early in liver disease development, targeting key pathways in the progression and initiation of both cirrhosis and HCC. Integration of epigenetic and transcriptional heterogeneity unveils putative epigenetic regulators of hepatocarcinogenesis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE263787 | GEO | 2024/07/30

REPOSITORIES: GEO

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Project description:Hepatocellular carcinoma (HCC) is a prevalent human cancer with rising incidence worldwide. Human HCC is frequently associated with chronic liver inflammation and cirrhosis, pathophysiological processes that are a consequence of chronic viral infection, disturbances in metabolism, or exposure to chemical toxicants. To better characterize the pathogenesis of HCC, we used a human disease-relevant mouse model of fibrosis-associated hepatocarcinogenesis. In this model, marked liver tumor response caused by a pro-mutagenic chemical N-nitrosodiethylamine in presence of liver fibrosis was associated with epigenetic events indicative of genomic instability. Therefore, we hypothesized that DNA copy number alterations (CNAs), a feature of genomic instability and a common characteristic of cancer, are concordant between human HCC and mouse models of fibrosis-associated hepatocarcinogenesis. We evaluated DNA CNAs and changes in gene expression in the mouse liver (normal, tumor and non-tumor cirrhotic tissues). In addition, we compared our findings to those in human HCC (tumor and non-tumor cirrhotic/fibrotic tissues). We observed that while fibrotic liver tissue is largely devoid of DNA CNAs, highly frequently occurring DNA CNAs are found in mouse tumors, which is indicative of a profound increase in chromosomal instability in HCC. When compared to CNAs in human HCC, we found that 33% of genes in these segments are similarly affected in the mouse tumors. Our results suggest that CNAs most commonly arise in neoplastic tissue rather than in fibrotic liver, and demonstrate the utility of this mouse model in replicating the molecular features of human HCC. Genomic DNA was extracted from frozen liver samples from vehicle-control and DEN+CCl4-treated mice using a DNEasy kit (Qiagen, Valencia, CA). Eighteen mouse tumor samples were included in the study, as well as 18 matched non-tumor samples taken from fibrotic, non-tumorous, surrounding liver tissue from the same mice. Liver DNA from 6 vehicle control-mice was pooled and used as the reference genome in the aCGH experiments. Copy number alterations were identified using the normalized data.

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Epigenetic heterogeneity hotspots in human liver disease progression [MethylationEPIC Beadchip]

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