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Tolloid-like 1 Gene Variant Rs17047200, Pretreatment FIB-4, ALBI and PALBI Scores As Predictors of Hepatocellular Carcinoma Occurrence After Directly Acting Antivirals

Overview
Specialty Gastroenterology
Date 2023 Jan 23
PMID 36683867
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Abstract

Aim Of The Study: Identifying persons at increased risk of developing hepatocellular carcinoma (HCC) after exposure to directly acting antivirals (DAAs) is of utmost importance. Our aim was to identify the predictors of HCC occurrence among cirrhotic patients after hepatitis C virus (HCV) treatment using DAAs.

Material And Methods: 529 cirrhotic patients who initiated treatment for HCV using DAAs were followed up for 2 years from the end of treatment for development of HCC. Pretreatment clinical and laboratory data were assessed as possible predictors for HCC occurrence. Genotyping for tolloid-like 1 gene () variant rs17047200 was assessed in all patients who developed HCC and in the matched control group.

Results: Pretreatment bilirubin, FIB-4 and platelet-albumin-bilirubin (PALBI) scores were significantly higher among those who developed HCC than those who did not develop HCC during the 2-year follow-up period while hemoglobin level was significantly lower. ROC curve analysis revealed that at a cut-off ≥ 3.07, pretreatment FIB-4 had a sensitivity of 76.5%, and negative predictive value (NPV) of 92%. At a cut-off ≥ -2.5, pretreatment PALBI score had a sensitivity of 82.4%, and NPV of 93.2%. Regarding genotyping for rs17047200 there were no statistically significant differences between those who developed HCC during follow-up and the matched control group.

Conclusions: rs17047200 genotyping is not helpful in predicting HCC occurrence after DAAs. On the other hand, lower pretreatment hemoglobin level and higher pretreatment bilirubin, FIB-4 and PALBI scores are associated with higher risk of HCC development after DAAs.

Citing Articles

Fibrosis and Hepatocarcinogenesis: Role of Gene-Environment Interactions in Liver Disease Progression.

Banerjee A, Farci P Int J Mol Sci. 2024; 25(16).

PMID: 39201329 PMC: 11354981. DOI: 10.3390/ijms25168641.

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