Chotiprasidhi, Perapa

PURPOSE Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide. The higher incidence and earlier onset of HCC in sub-Saharan Africa suggest a potential role for a genetic predisposition. This study evaluated the association of TERT -rs2242652-(A), a variant linked to lower HCC risk, with HCC in populations from Ghana, Nigeria, and Cameroon, compared with a population from the United States. METHODS The study included 537 patients with HCC: United States (n = 348), Ghana (n = 79), Nigeria (n = 43), and Cameroon (n = 67). The control group had 2,872 cancer-free individuals: United States (n = 2,399), Ghana (n = 323), Nigeria (n = 85), and Cameroon (n = 65). Whole-exome sequencing was conducted using germline DNA, and data for TERT -rs2242652 were analyzed. Odds ratios (ORs) and 95% CIs were calculated using unconditional logistic regression. Chi-square tests assessed protective allele frequencies. RESULTS In the US cohort, TERT -rs2242652 was significantly associated with lower HCC risk (OR, 0.75 [95% CI, 0.58 to 0.96]; P = .02), with an allele frequency of 18.8% (15.4% in HCC cases v 19.3% in controls). In the combined sub-Saharan African population, no significant association was observed, but there was a trend toward decreased HCC risk (OR, 0.80 [95% CI, 0.53 to 1.22]; P = .29), with an allele frequency of 12.2% (10.6% in HCC cases v 12.9% in controls). Separate analyses of Ghanaian, Nigerian, and Cameroonian populations showed similar nonsignificant trends. The protective allele frequency in the combined African populations was significantly lower than in the US cohort ( P < .0001). CONCLUSION In sub-Saharan African populations, there was a lower frequency of the HCC protective allele TERT -rs2242652 compared with European Americans. These findings underscore the importance of multiethnic genetic studies in understanding population differences in HCC risk and developing prevention strategies.

Background: There is no consensus scoring system for staging and prognosis in hepatocellular carcinoma (HCC), which is the fourth leading cause of cancer-related mortality worldwide. Commonly used systems include the albumin–bilirubin (ALBI) score, the Barcelona staging classification (Barcelona Clinic Liver Cancer, BCLC), the Model for End-Stage Liver Disease (MELD), and the model to estimate survival in ambulatory HCC patients (MESIAH). Liver secretion of pseudocholinesterase (PCHE) has been linked to liver function but is poorly studied in the natural history of HCC. We evaluated whether serum PCHE level predicts HCC mortality and whether it enhances existing scoring systems. Methods: We conducted a retrospective cohort study of individuals diagnosed with HCC. We collected variables including PCHE level, clinical data used in scoring systems, and time to mortality or liver transplant. We then analyzed the association between these variables and survival using Kaplan–Meier curves, Cox proportional hazards regression models, receiver operating characteristic (ROC) curves, and area under the curve (AUC) calculations. Results: We identified 420 individuals with HCC who were tested for PCHE levels, with a follow-up time of more than 20 years. There was a strong inverse relationship between PCHE level and overall survival, with the lowest quartile having high mortality and poor outcomes. Low PCHE level was associated with hepatitis C virus (HCV) infection, vascular invasion, poor liver function, and a high likelihood of liver transplant. In contrast, the highest quartile was associated with metabolic dysfunction–associated steatotic liver disease (MASLD) as the underlying cause. Compared with validated scoring systems, ALBI, BCLC, MELD 3.0, and MESIAH, the PCHE level was an independent predictor of mortality. PCHE levels could predict 3-month survival as well as or better than the other scoring systems, with an AUC of 0.74. PCHE level could also predict mortality related to hepatectomy. The addition of PCHE level to MESIAH and ALBI scoring systems could further improve the ability to predict overall mortality in HCC. Conclusions: PCHE is a reliable stand-alone biomarker of HCC prognosis. It is an independent predictor of mortality and can improve the accuracy of existing scoring systems. Improved risk stratification could improve outcomes by informing treatment decisions regarding hepatectomy or other interventions.

ABSTRACT Background & Aims Steatotic liver disease (SLD) is characterised by liver fat accumulation exceeding 5%. Lean body weight (BMI ≤ 25 kg/m 2 ) with non‐alcoholic SLD is a rare phenotype, and the balance of risks related to metabolic conditions or genetic predisposition, or the risk of progressive liver disease, is not known. This study evaluates clinical and genetic predictors of non‐alcoholic SLD and advanced liver disease in lean individuals. Methods We used International Classification of Disease codes, radiology and pathology review to identify 177 lean non‐alcoholic SLD cases (47 cryptogenic, 130 MASLD), 677 matched lean controls, and 3090 overweight/obese SLD cases in the Mayo Clinic Biobank and Tapestry databases. We performed case–control and cross‐sectional comparisons of clinical and genetic factors between these groups, using univariable and multivariable analyses. Results Lean individuals with non‐alcoholic SLD exhibited metabolic and genetic profiles that were intermediate between those of lean controls without SLD and overweight/obese SLD individuals, including intermediate rates of diabetes, hypertension, hyperlipidaemia and of homozygosity for the risk allele of PNPLA3 . Multivariable analysis indicated that diabetes was an independent predictor of SLD among lean individuals. Among lean individuals with non‐alcoholic SLD, those with metabolic‐associated SLD (MASLD), as compared to those with cryptogenic SLD (without metabolic risk factor), were more likely to be homozygous for risk alleles in GCKR . The Fib‐4 score, a tool for screening advanced liver disease in SLD, accurately predicted advanced fibrosis among lean individuals with non‐alcoholic SLD. Conclusion Diabetes serves as a primary predictor of non‐alcoholic SLD in lean individuals. These results support the recommendation to screen for SLD in patients with diabetes, regardless of BMI. The GCKR risk allele is associated with MASLD in lean individuals, and the risk factors for cryptogenic SLD remain unclear.