biostudies-literatureUnknown18(3)Kholili U<h4>Introduction</h4>Mounting evidence indicates that the p53 Pro72Arg single-nucleotide polymorphisms (SNPs) may play a role in modulating hepatocarcinogenesis in the setting of chronic HBV infection. However, there is currently a lack of studies focusing on this genetic variant in Indonesia, a country characterized by its diverse genetic landscape comprising over 1300 distinct ethnic groups. We aimed to investigate the association between the p53 Pro72Arg polymorphism and the risk of hepatocellular carcinoma (HCC) among Indonesian patients with chronic HBV infection.<h4>Methods</h4>A total of 140 patients with chronic hepatitis B (CHB) were recruited, including 79 with HCC and 61 without HCC serving as controls. We used direct sequencing of DNA extracted from peripheral blood to analyze Cancers380https://www.ebi.ac.uk/biostudies/studies/S-EPMC12896443biostudies-literatureAssociation of p53 Pro72Arg Polymorphism with Hepatocellular Carcinoma Risk in Hepatitis B Across Multiethnic Populations.PMC12896443Kholili UHidayat AAAryati AAlaydrus ASoetjipto SBintoro UYMiftahussurur MfalseAssociation of p53 Pro72Arg Polymorphism with Hepatocellular Carcinoma Risk in Hepatitis B Across Multiethnic Populations.<h4>Introduction</h4>Mounting evidence indicates that the p53 Pro72Arg single-nucleotide polymorphisms (SNPs) may play a role in modulating hepatocarcinogenesis in the setting of chronic HBV infection. However, there is currently a lack of studies focusing on this genetic variant in Indonesia, a country characterized by its diverse genetic landscape comprising over 1300 distinct ethnic groups. We aimed to investigate the association between the p53 Pro72Arg polymorphism and the risk of hepatocellular carcinoma (HCC) among Indonesian patients with chronic HBV infection.<h4>Methods</h4>A total of 140 patients with chronic hepatitis B (CHB) were recruited, including 79 with HCC and 61 without HCC serving as controls. We used direct sequencing of DNA extracted from peripheral blood to analyze 2026-01-01T00:00:00Z2026 Jan2026-07-08T03:16:57.123Z2026-07-08T03:08:42.766ZS-EPMC128964434168185210.3390/cancers18030380