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Purpose: P53 is a suppressor gene closely related to carcinogenesis. However, the associations between genetic variants in the p53 signaling pathway and prognosis in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) remain unknown. The current study aims to analyze associations between the single nucleotide polymorphisms (SNPs) in p53 pathway-related genes and survival of patients with HBV-HCC. Methods: We evaluated the associations between 4698 SNPs in 70 genes of the p53 pathway and overall survival (OS) of 866 patients in additive genetic models by using Cox proportional hazards regression analysis. Stepwise multivariable Cox regression analysis was conducted to determine the independent effects of identified SNPs in single-locus analyses. The expression of quantitative trait loci (eQTL) was also analyzed using data from GTEx and 1000 Genomes Project, and functional prediction of SNPs was performed by using RegulomeDB v2.2, 3DSNP v2.0, HaploReg v4.2 and VannoPortal. Results: We found that two novel SNPs of CD82 rs7925603 A > G and PMAIP1 rs4396625 A > T, were significantly and independently associated with OS [adjusted hazards ratios (HRs) and 95% confidence intervals (CI) were 1.27 (1.10– 1.48) and 0.77 (0.66– 0.91), respectively; P = 0.001 and = 0.002, respectively] and that the combined risk genotypes of these SNPs showed a significant association with OS in patients with HBV-HCC (Ptrend < 0.001). Further eQTL analysis in the GTEx dataset showed that the rs7925603 G allele was associated with lower CD82 mRNA expression levels, while the rs4396625 T allele was associated with higher PMAIP1 mRNA expression levels in whole blood cells. Conclusion: We identified two observed survival-associated SNPs in CD82 and PMAIP1 in the p53 pathway, which influenced HBV-HCC survival possibly through a mechanism of altering mRNA expression. Large studies are warranted to validate our findings. [ABSTRACT FROM AUTHOR]

Background: Although the Notch pathway plays an important role in formation and progression of hepatocellular carcinoma (HCC), few studies have reported the associations between functional genetic variants and the survival of hepatitis B virus (HBV)‐related HCC. Methods: In the present study, we performed multivariable Cox proportional hazard regression analysis to evaluate associations between 36,101 SNPs in 264 Notch pathway‐related genes and overall survival (OS) of 866 patients with HBV‐related HCC. Results: It was found that three independent SNPs (NEURL1B rs4868192, CNTN1 rs444927 and FCER2 rs1990975) were significantly associated with the HBV‐related HCC OS. The number of protective genotypes (NPGs) were significantly associated with better survival in a dose‐response manner (ptrend <0.001). Compared with the model with sole clinical factors, the addition of protective genotypes to the predict models significantly increased the AUC, i.e., from 72.72% to 75.13% (p = 0.002) and from 72.04% to 74.76 (p = 0.004) for 3‐year and 5‐year OS, respectively. The expression quantitative trait loci (eQTL) analysis further revealed that the rs4868192 C allele was associated with lower mRNA expression levels of NEURL1B in the whole blood (p = 1.71 × 10‐3), while the rs1990975 T allele was correlated with higher mRNA expression levels of FCER2 in the whole blood and normal liver tissues (p = 3.51 × 10−5 and 0.033, respectively). Conclusions: Three potentially functional SNPs of NEURL1B, CNTN1 and FCER2 may serve as potential prognostic biomarkers for HBV‐related HCC. [ABSTRACT FROM AUTHOR]

Long non-coding RNA (lncRNA) potentially regulates tumorigenesis. LncRNA small nucleolar RNA host gene 1 (SNHG1) expression remains high in hepatocellular carcinoma cells; however, its biological mechanism in hepatocellular carcinoma remains unknown. In this study, SNHG1 expression in hepatocellular carcinoma cells was detected by qRT-PCR. Proliferative and migratory potentials of hepatocellular carcinoma cells were determined by CCK-8 and Transwell assay, respectively. Then, the nude mice model of xenograft was employed to verify the effect of SNHG1 on tumor formation in vivo. We identified the potential target of SNHG1 through bioinformatics and dual-luciferase reporter gene. Furthermore, Western blot and RIP assay was used for clarifying their interaction and functions in regulating the development of hepatocellular carcinoma. Our results indicated a high expression of SNHG1 in hepatocellular carcinoma cells. Downregulation of SNHG1 inhibited proliferative and migratory potentials of hepatocellular carcinoma cells in vitro and in vivo. Moreover, the expression of programmed cell death 4 (PDCD4) was positively regulated by SNHG1 through competing with miR-195-5p. These results indicated that SNHG1 participated in the development of hepatocellular carcinoma as a ceRNA to competitively bind to miR-195-5p and thus mediate PDCD4 expression. • Our results indicated a high expression of SNHG1 in HCC cells. • SNHG1 promotes cell proliferation and migration in vitro and in vivo. • SNHG1 acts as a ceRNA to promote HCC progression by sponging miR-195-5p. [ABSTRACT FROM AUTHOR]