Rs9679162 genotype predicts prognosis of real-world advanced hepatocellular carcinoma treated by sorafenib

Chih Lang Lin, Rong Nan Chien, Li Wei Chen, Yu De Chu, Chau Ting Yeh

Research output: Contribution to journalJournal Article peer-review

1 Scopus citations

Abstract

BACKGROUND: Sorafenib and lenvatinib are tyrosine kinase inhibitors widely used in the targeted therapy to treat advanced hepatocellular carcinoma (aHCC). The GALNT14-rs9679162 genotype is a predictor of therapeutic outcome in multiple gastrointestinal cancers. OBJECTIVE: To investigate the predictive role of the GALNT14-rs9679162 genotype in aHCC treated with sorafenib or lenvatinib. METHODS: Totally 350 real-world patients with aHCC received sorafenib or lenvatinib were enrolled for GALNT14-rs9679162 genotyping and outcome analysis. Kaplan-Meier and Cox regression analysis were conducted to evaluate therapeutic outcomes. Cell-based assays were performed to determine the underlying mechanism. RESULTS: Kaplan-Meier and Cox regression analysis showed that the 'GG' genotype was not associated with overall survival (OS) when all patients were included. However, it was associated with shorter OS in specific clinical subgroups, including anti-hepatitis C virus antibody-positive (n= 108; P= 0.005) and hepatitis B surface antigen-negative (n= 117; P= 0.002) patients. Intriguingly, hepatitis B virus X protein trans-suppressed the GALNT14 promoter, thereby reducing the elevated expression of GALNT14 in hepatoma cells, which partially contributed to the inability of the GALNT14-rs9679162 genotypes to predict the outcome of hepatitis B-related HCC. Finally, by analyzing the outcomes of 52 patients with aHCC treated with lenvatinib, patients with the 'GG' genotype were associated with a favorable/shorter time-To-response (P= 0.013). CONCLUSIONS: The GALNT14-rs9679162 'GG' genotype predicted shorter OS in patients with HBsAg-negative aHCC treated with sorafenib, but predicted a favorable response in all patients with aHCC treated with lenvatinib.

Original languageEnglish
Pages (from-to)251-266
Number of pages16
JournalCancer Biomarkers
Volume36
Issue number3
DOIs
StatePublished - 2023

Bibliographical note

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Keywords

  • Rs9679162 genotype
  • Single nucleotide polymorphism
  • advanced hepatocellular carcinoma (HCC)
  • genetic biomarker and overall survival

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