J Transl Med. 2025 Jun 10;23(1):639. doi: 10.1186/s12967-025-06560-w.
ABSTRACT
BACKGROUND: Hepatocellular carcinoma (HCC) is a rapidly progressing disease, frequently caused by hepatitis C virus (HCV) infection and a higher prevalence in males than females. Over 60% of HCCs harbour frequent activating mutations in the telomerase reverse transcriptase promoter (TERTp). However, the relationship between TERTp status, sex, and expression of specific genes remains poorly understood.
METHODS: We conducted a literature search to identify genes that were significantly upregulated in HCV-related HCC, compared to the respective peri-tumour tissues, in at least two independent studies. We identified 90 genes and validated their expression in 59 matched HCV-related HCC and peri-tumour tissues using a custom multiplex array qPCR. HCV-related HCC patients were stratified by TERTp mutations and sex. Statistical analysis was performed to identify relationships between different variables.
RESULTS: Overall, validation analysis confirmed the upregulation of 39 out of 90 genes. Expression levels of 24 genes differed significantly between HCV-related HCC with mutant and wild type TERTp. The expression of FASTK and FLVCR1 genes correlated with TNM and tumour size (p < 0.05). High expression of NUCKS1 was associated with mortality, particularly in male patients. Overall, the expression of 57 genes was sex-linked, with 26 and 48 genes significantly overexpressed in males and in females, respectively, some of which were also associated with mutant TERTp status.
CONCLUSIONS: We identified unique molecular signatures in TERTp mutant HCC associated with the activation of specific genes. Such results suggest that TERTp mutant HCC might represent a distinct clinical entity. Furthermore, the up-regulation of several genes in HCV-related HCC is sex-linked. These results are crucial for understanding the mechanisms underlying TERTp mutations in tumour progression and sex-related HCC risk and for developing more effective diagnostic and prognostic biomarkers.
PMID:40495193 | DOI:10.1186/s12967-025-06560-w