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DNA damage repair (DDR) plays a pivotal role in hepatocellular carcinoma (HCC), driving oncogenesis, progression, and therapeutic response. However, the mechanisms of DDR mediated immune cells and immuno-modulatory pathways in HCC are yet ill-defined. Our study introduces an innovative deep machine learning framework for precise DDR assessment, utilizing single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data. Single-cell RNA sequencing data were obtained and in total 85,628 cells of primary or post-immunotherapy cases were analyzed. Large-scale HCC datasets, including 1027 patients in house together with public datasets, were used for 101 machine-learning models and a novel DDR feature was derived at single-cell resolution (DDRscore). Druggable targets were predicted using the reverse phase protein array (RPPA) proteomic profiling of 169 HCC patients and RNA-seq data from 22 liver cancer cell lines. Our investigation reveals a dynamic interplay of DDR with natural killer cells and B cells in the primary HCC microenvironment, shaping a tumor-promoting immune milieu through metabolic programming. Analysis of HCC post-immunotherapy demonstrates elevated DDR levels that induces epithelial-mesenchymal transition and fibroblast-like transformation, reshaping the fibrotic tumor microenvironment. Conversely, attenuated DDR promotes antigen cross-presentation by dendritic cells and CD8+ T cells, modulating the inflammatory tumor microenvironment. Regulatory network analysis identifies the CXCL10-CXCR3 axis as a key determinant of immunotherapeutic response in low DDR HCC, potentially regulated by transcription factors GATA3, REL, and TBX21. Using machine learning techniques by combining bulk RNA-seq data in house together with public datasets, we introduce DDRscore, a robust consensus DDR scoring system to predict overall survival and resistance to PD-1 therapy in HCC patients. Finally, we identify BRAF as a potential therapeutic target for high DDRscore patients. Our comprehensive findings advance our understanding of DDR and the tumor microenvironment in HCC, providing insights into immune regulatory mechanisms mediated via DDR pathways. • The study integrates multiple omics analyses to depict the heterogeneity of the tumor microenvironment (TME) in hepatocellular carcinoma (HCC) under different DDR statuses, both pre- and post- immunotherapy. • DDR scoring framework is developed using advanced machine learning algorithms, enabling accurate assessment of DDR levels in HCC. • Potential therapeutic targets (BRAF) was identified specifically for patients with high DDR status, offering promising avenues for personalized treatment in HCC. [ABSTRACT FROM AUTHOR]

Hepatocellular carcinoma (HCC) is an aggressive malignancy with few effective treatment options. Lenvatinib is the first-line therapy for HCC but has only limited clinical benefit. Here, we explored the role and mechanism of the WD repeat domain 4 (WDR4) in lenvatinib resistance to improve clinical benefit. We found that lenvatinib-resistant HCC tissues/cells exhibited increased the N7-methylguanosine (m7G) modification and WDR4 expression. By a gain/loss of function experiment, we showed that WDR4 promoted HCC lenvatinib resistance and tumor progress both in vitro and in vivo. By proteomics analysis and RNA immunoprecipitation PCR, we found that tripartite motif protein 28 (trim28) was an important WDR4 target gene. WDR4 promoted TRIM28 expression, further affected target genes expression, and thus increased cell-acquired stemness and lenvatinib resistance. Clinical tissue data showed that TRIM28 expression was correlated with WDR4 levels, and the expression of both was positively correlated with poor prognosis. Our study provides new insight into the role of WDR4, suggesting a potential therapeutic target to enhance the lenvatinib sensitivity of HCC. • WDR4 is high expressed in lenvatinib-resistant HCC cells and tissues. • WDR4 help cell acquire lenvatinib resistant by promote TRIM28 expression, further affect stem ness, and their expression were positively correlated with poor prognoses. [ABSTRACT FROM AUTHOR]

Evading immune destruction is an emerging hallmark of cancer and a potential key step in tumorigenesis. Immune checkpoint blocker (ICB)-based combination therapies revolutionize the landscape of systemic therapy for HCC. However, the molecular underpinnings governing immune evasion and responses remain unclear. Our study aims to find new regulatory molecules that drive HCC immune escape and tumorigenesis and find new promising immunotherapeutic approaches for HCC. In our study, laser capture microdissection (LCM) and miRNA sequencing combined with in vitro and in vivo experiment s identified miR-93-5p as a crucial initiating oncogene during liver progenitor cell (LPC) malignant transformation and immune escape. Mechanistically, miR-93-5p could directly target canonical tumour suppressors such as APC to promote LPC malignant transformation and hepatocarcinogenesis. More importantly, miR-93-5p could induce deviant GAL-9 augmentation to inactivate infiltrated CD8(+) T cells and induce immune evasion by targeting several epigenetic regulators, such as AEBP2, and then regulating H3K4me3/H3K27me3 bivalency. Experiments in C57BL/6 mice demonstrated that blockade of Gal-9 abrogated miR-93-5p-induced HCC progression and improved their prognosis. Clinically, we identified a unique subtype of HCC closely associated with high GAL-9 expression and anti-PD1 treatment resistance. Our study highlights the pivotal role of the miR-93-5p/Gal-9 axis in driving HCC immune escape and tumorigenesis. Blocking GAL-9 is an effective and promising immunotherapeutic approach for HCC. • miR-93-5p was demonstrated to be a crucial initiating oncogene during liver progenitor cell (LPC) malignant transformation. • miR-93-5p could directly target several tumour suppressors to promote LPC malignant transformation and hepatocarcinogenesis. • miR-93-5p induced GAL-9 augmentation to inactivate infiltrated CD8(+) T cells and induce immune evasion. • Blockade of Gal-9 abrogated miR-93-5p-induced HCC progression and improved animals prognosis. • A unique subtype of HCC was identified to be closely associated with high GAL-9 expression and anti-PD1 treatment resistance. [ABSTRACT FROM AUTHOR]