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Multiple Omics Analyses of Hispanic Hepatocellular Carcinoma

ABSTRACT: Multi-omics approaches were utilized to comprehensively analyze the molecular characteristics of hepatocellular carcinoma (HCC) in South Texas (STX) Hispanics. Exome sequencing revealed high mutation frequencies of AXIN2 and CTNNB1, suggesting a predominant activation of the Wnt/beta-catenin pathway. Cell cycles were positively-, and liver functions were negatively-enriched on gene set enrichment analysis of our transcriptomic and proteomic datasets. Enrichments of gene sets representing specific liver metabolic pathways were found to be associated with the dysregulation of corresponding metabolites. Significant reduction of the majority of lipids seen in serum samples of HCC patients and many fatty acids in HCC tumors corroborate negative adipogenesis and lipid metabolism enrichments. We identified two subtypes of HCC using enrichment scores from paired tumor-nontumor samples of STX-Hispanics or TCGA-LIHC. The subtype with better overall survival revealed pronounced positive enrichments of immune-, angiogenesis-, and negative enrichments of liver function-related hallmark gene sets than the other. The former had higher levels of immune checkpoint and immune exhaustion markers. Together, we report molecular features of HCC, specific and non-specific to Hispanics.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Lu-Zhe Sun

PROVIDER: MSV000092403 | MassIVE | Tue Jul 11 13:39:00 BST 2023

SECONDARY ACCESSION(S): PXD043687

REPOSITORIES: MassIVE

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Project description:Recent studies have shown that high cell cycle activity negatively correlates with antitumor immunity in certain cancer types. However, a similar correlation has not been proven in liver cancer.We downloaded transcriptomic profiles of TCGA-LIHC (the cancer genome atlas-liver hepatocellular carcinoma) and assessed the cell cycle distribution of samples using single sample gene set enrichment analysis (ssGSEA), termed the cell cycle score (CCS). We obtained cell cycle-related differentially expressed prognostic genes and identified CENPA, CDC20 and CTSV using LASSO regression. We studied the effect of CTSV on clinical features and immune alterations in liver cancer based on TCGA-LIHC data. In vitro and in vivo experiments were performed to validate the role of CTSV in liver cancer using liver cancer cell lines and tissues.We found that the CCS closely correlated with the clinical features and prognosis of patients in TCGA-LIHC. Analysis of differentially expressed genes (DEGs), univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression identified cathepsin V (CTSV) with prognostic significance in LIHC. Importantly, single-gene survival analysis of CTSV using microarray and sequencing data indicated that high levels of CTSV expression correlated with an unfavorable prognosis in various cancers. Gene set enrichment analysis (GSEA) revealed that high CTSV expression closely correlated with decreased expression of metabolic genes and increased expression of cell cycle genes. Furthermore, difference and correlation analyses of the relationship between CTSV expression and immune infiltrates, determined using CIBERSORT and TIMER algorithms, revealed that CTSV expression correlated with macrophages and CD4+ T cells. In vitro and in vivo experiments revealed that knockdown of CTSV inhibited liver cancer cells proliferation. Immunohistochemical staining showed that high CTSV expression correlated with macrophage infiltration in liver cancer tissues, predicted a poor prognosis, and may serve as a biomarker for HCC therapy.In conclusion, CTSV is a novel cell cycle prognostic gene that can affect HCC cells proliferation, and a potential biomarker for HCC therapy.

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Multiple Omics Analyses of Hispanic Hepatocellular Carcinoma

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