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Background: Identifying metabolic biomarkers can enhance early detection and risk stratification of hepatocellular carcinoma (HCC). We conducted a two-sample Mendelian randomization (MR) study to assess the potential causal effects of metabolites on HCC risk.
Methods: We performed meta-analyses to pool the effects of genetic instruments from 64 previously published genome-wide association studies. Summary statistics for HCC were obtained from a meta-analysis of the UK BioBank and FinnGen cohorts. MR analyses for the association between 3,275 metabolites and HCC risk were performed using inverse variance weighted, weighted median, MR-Egger, and MR-PRESSO methods to estimate the association. Enrichment analyses were performed on the significant metabolites to identify biological pathways associated with macronutrient intake.
Results: We identified 99 metabolites that were positively and 36 metabolites that were negatively associated with HCC risk. Methyl glucopyranoside and phosphatidylcholine C38:3 were positively associated with HCC risk, whereas while 3-dehydrocarnitine and 10-undecenoate were inversely associated, with no evidence of heterogeneity, pleiotropy, or outlier effects for any of these associations. Pathway enrichment analysis showed that metabolites associated with increased HCC risk were primarily related to amino acid transport and solute carrier transporter disorders, whereas those linked to reduced risk were mainly involved in inositol and phosphatidylinositol metabolism, glycerophospholipid catabolism, and MeCP2-related regulatory processes.
Conclusion: This comprehensive MR study identified several metabolites with potential causal roles in HCC development. Our findings highlight nutrient transport, lipid metabolism, and related regulatory mechanisms as key components of HCC pathogenesis, offering new avenues for biomarker discovery and therapeutic intervention.
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http://dx.doi.org/10.17998/jlc.2025.08.26 | DOI Listing |
Ann Surg Oncol
September 2025
Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China.
Background: Postoperative late recurrence (POLAR) after 2 years from the date of surgical resection of hepatocellular carcinoma (HCC) represents a unique surveillance and management challenge. Despite identified risk factors, individualized prediction tools to guide personalized surveillance strategies for recurrence remain scarce. The current study sought to develop a predictive model for late recurrence among patients undergoing HCC resection.
View Article and Find Full Text PDFJ Hepatocell Carcinoma
September 2025
Department of Liver Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Objective: Anoikis is an anchorage-dependent programmed cell death implicated in multiple pathological processes of cancers; however, the prognostic value of anoikis-related genes (ANRGs) in hepatocellular carcinoma (HCC) remains unclear. Our study aims to develop an ANRGs-based prediction model to improve prognostic assessment in HCC patients.
Methods: The RNA-seq profile was performed to estimate the expression of ANRGs in HCC patients.
Ann Gastroenterol Surg
September 2025
Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences Hiroshima University Hiroshima University Hiroshima Japan.
Background: Liver fibrosis is a key factor in the progression of chronic liver diseases, including viral hepatitis and metabolic dysfunction-associated steatotic liver disease. If untreated, fibrosis can progress to cirrhosis, increasing the risk of liver cancer or failure. This study evaluates the Fibrosis (FIB)-3 index, a novel marker free from age-related biases, for predicting liver fibrosis and 5-year outcomes in hepatocellular carcinoma (HCC) patients undergoing hepatectomy.
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