Functional genetic variants of the disulfidptosis-related INF2 gene predict survival of hepatitis B virus-related hepatocellular carcinoma.
Junjie WeiQiuping WenShicheng ZhanJi CaoYanji JiangJiawei LianYuejiao MaiMoqin QiuYingchun LiuPeiqin ChenQiuling LinXiaoxia WeiYuying WeiQiongguang HuangRuoxin ZhangSongqing HeGuandou YuanQingyi WeiZihan ZhouHongping YuPublished in: Carcinogenesis (2024)
Disulfidptosis is a novel form of programmed cell death involved in migration and invasion of cancer cells, but few studies investigated the roles of genetic variants in disulfidptosis-related genes in survival of patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). We used Cox proportional hazards regression analyses, Kaplan-Meier curves and receiver operating characteristic curves to assess effects of genetic variants in 14 disulfidptosis-related genes on overall survival of 866 HBV-HCC patients. The Bayesian false discovery probability was used for multiple testing corrections. We also investigated biological mechanisms of the significant variants through expression quantitative trait loci analyses using the data from publicly available databases, luciferase reporter assays and differential expression analyses. As a result, we identified two independently functional single nucleotide polymorphisms (SNPs) (INF2 rs4072285 G > A and INF2 rs4444271 A > T) that predicted overall survival of HBV-HCC patients, with adjusted hazard ratios of 1.60 (95% CI = 1.22-2.11, P = 0.001) and 1.50 (95% CI = 1.80-1.90, P < 0.001), respectively, after multiple testing correction. Luciferase reporter assays indicated that both INF2 rs4072285 A and INF2 rs4444271 T alleles increased INF2 mRNA expression levels (P < 0.001) that were also higher in HCC tumor tissues than in adjacent normal tissues (P < 0.001); such elevated INF2 expression levels were associated with a poorer survival of HBV-HCC patients (P < 0.001) in the TCGA database. In summary, this study supported that INF2 rs4072285 and INF2 rs4444271 may be novel biomarkers for survival of HBV-HCC patients.
Keyphrases
- hepatitis b virus
- end stage renal disease
- liver failure
- ejection fraction
- chronic kidney disease
- newly diagnosed
- genome wide
- free survival
- poor prognosis
- gene expression
- peritoneal dialysis
- high throughput
- prognostic factors
- small molecule
- long non coding rna
- atomic force microscopy
- deep learning
- single molecule
- high speed
- binding protein