Decoding Epigenetic Mechanisms Driving Immune Evasion in Liver Cancer With Omics Approaches

We will use TILs, along with other immune, hepatocyte, and stromal cell populations isolated from hepatocellular carcinoma (HCC) tissue, matched adjacent non-tumoral liver, and peripheral blood samples. Single-cell RNA sequencing and spatial transcriptomics will be employed to define the cellular distribution and molecular profiles of TE-containing transcripts, other noncoding RNAs, and associated gene expression programs within the HCC microenvironment. Functional experiments-including CRISPR-Cas13 or ASO-mediated silencing-will be performed to elucidate the role of the novel regulatory transcripts, including TE-transcripts, in modulating cellular identity within the liver TME. In parallel, epigenetic analyses such as ChIPseq, ATAC-seq, DNA methylation profiling, RADICL-seq, and Hi-C will be conducted to map the regulatory networks and chromatin architecture associated with these transcripts

• Histological/radiological (LR-4 o 5)diagnosis of hepatocellular carcinoma (HCC).
• Solid tumor fresh tissue availability from HCC biospy or surgical resectionas per standard clinical practice, and/orHCC FFPE archival samples availability.
• Capability of understanding and signing an inform consent form.
• Known hepatits B and C status, including HBeAg (positive or negative), viral load (HBVDNA e HCV-RNA), HCV genotype, whether sustained virological response (SVR)was obtainedand potential antiviral treatments received (including direct antiretroviral therapy(DAA)and interferon). These parameters will be exploited to stratify patients and analyze the impact of the virological status on microenvironmental immunological features, with particular regards to immunesuppression mechanisms.