A functional variant of CD40 modulates clearance of hepatitis B virus in hepatocytes via regulation of the ANXA2/CD40/BST2 axis.

More than 250 million people in the world are chronically infected with hepatitis B virus (HBV), which causes serious complications. Host genetic susceptibility is essential for chronic hepatitis B (CHB), and our previous genome-wide association study identified a single-nucleotide polymorphism (SNP), rs1883832, in the 5' untranslated region of CD40 predisposing to chronic HBV infection, but the underlying mechanism remains undefined. This study aimed to investigate whether rs1883832 was the real functional SNP (fSNP) of CD40 and how it modulated HBV clearance in hepatocytes. We determined the fSNP of CD40 and its regulatory protein(s) using luciferase reporter assays, electrophoretic mobility shift assay, flanking restriction enhanced pulldown and chromatin immunoprecipitation. The potential anti-HBV activity of CD40 and its downstream molecule BST2 was assessed in HBV-transfected and HBV-infected hepatoma cells and HBV-infected primary human hepatocytes. Moreover, the mechanism of CD40 was investigated by mRNA sequencing, quantitative real-time polymerase chain reaction, immunofluorescence and western blot. We revealed rs1883832 as the true fSNP of CD40 and identified ANXA2 as a negative regulatory protein that preferentially bound to the risk allele T of rs1883832 and hence reduced CD40 expression. Furthermore, CD40 suppressed HBV replication and transcription in hepatocytes via activating the JAK-STAT pathway. BST2 was identified to be the key IFN-stimulated gene regulated by CD40 after activating JAK-STAT pathway. Inhibition of JAK/STAT/BST2 axis attenuated CD40-induced antiviral effect. In conclusion, a functional variant of CD40 modulates HBV clearance via regulation of the ANXA2/CD40/BST2 axis, which may shed new light on HBV personalized therapy.

A genetic variant of CXCR4 predicts pegylated interferon-alpha treatment response in HBeAg-positive chronic hepatitis B patients.

Chemokine receptor 4 (CXCR4) plays a vital role in immunoregulation during hepatitis B virus (HBV) infection. This study aimed to screen single-nucleotide polymorphisms (SNPs) of CXCR4 for predicting pegylated interferon-alpha (PegIFNα) therapy response in chronic hepatitis B (CHB) patients. This retrospective cohort study enrolled a total of 945 CHB patients in two cohorts (Cohort 1, n = 238; Cohort 2, n = 707), and all the patients were hepatitis B e antigen (HBeAg)-positive and treated with PegIFNα for 48 weeks and followed up for 24 weeks. Twenty-two tag SNPs were selected in CXCR4 and its flanking region. A polygenic score (PGS) was utilized to evaluate the cumulative effect of multiple SNPs. The relationships between CXCR4 SNPs and PGS and PegIFNα treatment response were explored in the two cohorts. Among the 22 candidate SNPs of CXCR4, rs28367495 (T > C) was significantly linked to PegIFNα treatment response in both cohorts. In patients with more number of rs28367495 C allele, a higher rate of combined response (CR, defined as HBeAg seroconversion and HBV DNA level < 3.3 log10 IU/mL; P = 1.51 × 10-4), a lower mean hepatitis B surface antigen (HBsAg) level (P = 4.76 × 10-4), and a higher mean HBsAg decline (P = 3.88 × 10-4) at Week 72 were achieved. Moreover, a PGS integrating CXCR4_rs28367495 and five previously reported SNPs was strongly correlated with CR (P = 1.26 × 10-13), HBsAg level (P = 4.90 × 10-4), and HBsAg decline (P = 0.005) in all the patients of the two cohorts. CXCR4_rs28367495 is a promising indicator for predicting the responsiveness to PegIFNα treatment for HBeAg-positive CHB patients. The new PGS may further improve the prediction performance.

The Role of ALPK1 in Inhibiting Hepatitis B Virus Replication Facilitates the Identification of ALPK1 P660L Variant for Predicting Response to Pegylated Interferon α Therapy.

BACKGROUND: Alpha kinase 1 (ALPK1) agonist has recently been reported to demonstrate anti-hepatitis B virus (HBV) efficacy via activating NF-κB signaling, which is crucial for maximizing interferon (IFN) responses. Here, we investigated the impact of ALPK1 on HBV replication and explored ALPK1 variants for predicting the response to pegylated IFN-α (PegIFN-α) treatment. METHODS: The potential anti-HBV effect of ALPK1 was evaluated in HBV-integrated and HBV-infected hepatoma cells. The potentially functional genetic variants of ALPK1 were screened out, and their correlations with PegIFN-α treatment response were assessed in 945 hepatitis B e antigen (HBeAg)-positive patients with chronic hepatitis B (CHB). RESULTS: We revealed that ALPK1 inhibited HBV replication in hepatocytes via activating the JAK-STAT pathway. ALPK1 overexpression improved the anti-HBV effect of IFN-α in cell models. A missense variant, rs35389530 (P660L), of ALPK1 was strongly associated with combined response (CR; namely, HBeAg seroconversion and HBV DNA level <3.3log10 IU/mL) to PegIFN-α treatment in patients with CHB (P = 2.12 × 10-6). Moreover, a polygenic score integrating ALPK1_rs35389530 and 2 additional genetic variants was further significantly associated with CR (Ptrend = 9.28 × 10-7), hepatitis B surface antigen (HBsAg) level (Ptrend = .0002), and HBsAg loss (Ptrend = .025). CONCLUSIONS: The anti-HBV effects of ALPK1 through activating JAK-STAT pathway provides a new perspective for CHB therapy. ALPK1_rs35389530 and polygenic score are potential biomarkers to predict PegIFN-α treatment response and may be used for optimizing CHB treatment.

TRIM16 E121D variant affects the risk and prognosis of hepatocellular carcinoma by modulating the Wnt/ß-catenin pathway.

TRIM16 has been identified as a tumor suppressor in hepatocellular carcinoma (HCC). This study aimed to investigate whether there are genetic variants in TRIM16 influencing HCC risk and/or prognosis and explore the mechanisms. We performed a gene-wide single-nucleotide polymorphism (SNP) mining in TRIM16. The associations of SNPs with both HCC risk and prognosis were assessed through two independent cohorts respectively. Functional experiments were performed to investigate the underlying mechanisms. A missense variant rs2074890 (G > T, resulting in an amino acid substitution from glutamate to aspartate at code 121, E121D) of TRIM16 was found to be associated with both HCC risk (odds ratio = 0.806, p = 0.023) and prognosis (hazard ratio = 0.44, p = 0.034). Compared to the rs2074890 G allele (corresponding to TRIM16121E ) homozygote carriers, the rs2074890 T allele (corresponding to TRIM16121D ) carriers showed lower HCC risk and better overall survival. Mechanistically, TRIM16121D has stronger ability to inhibit proliferation, migration, and invasion of HCC cells. Furthermore, TRIM16121D could bind to ß-catenin better and mediate K48-linked ubiquitination to degrade ß-catenin, which leads to inhibition of Wnt/ß-catenin pathway. In conclusion, TRIM16 E121D variant impacts both risk and prognosis of HCC via regulation of Wnt/ß-catenin pathway, which may lead to better understanding the pathogenesis of HCC.

CXCL13 variant predicts pegylated-interferon α treatment response in HBeAg-positive chronic hepatitis B patients.

As a key immune cytokine, C-X-C motif chemokine ligand 13 (CXCL13) has been reported to play critical roles in immune control of hepatitis B virus (HBV) infection. We aimed to screen single-nucleotide polymorphisms (SNPs) of CXCL13 for predicting response to pegylated interferon-alpha (PegIFNα) therapy of chronic hepatitis B (CHB) patients. Two independent cohorts with a total of 945 (Cohort 1, n = 238; Cohort 2, n = 707) hepatitis B e antigen (HBeAg)-positive CHB patients treated with PegIFNα were enrolled in this retrospective cohort study. Eight candidate SNPs were selected through gene-wide SNP mining within or flanking CXCL13. A polygenic score (PGS) was utilized to assess the cumulative effects of multiple SNPs. The associations of candidate SNPs and PGS with combined response (CR, defined as the combination of HBeAg seroconversion and HBV DNA level <3.3log10 IU/mL) and hepatitis B surface antigen (HBsAg) level were evaluated. Among the eight candidate SNPs, rs76084459 which is located at upstream of CXCL13 was significantly associated with both CR (p = 0.002) and HBsAg level (p = 0.015). A PGS integrating CXCL13_rs76084459 and five other SNPs, which were previously identified as predictors of PegIFNα treatment response, was further strongly correlated with CR (p = 1.759 × 10-10 ) and HBsAg level (p = 0.004). This study demonstrated that CXCL13_rs76084459 can predict response to PegIFNα treatment of HBeAg-positive CHB patients. A PGS composed of six SNPs including CXCL13_rs76084459 predicts PegIFNα treatment response better.

Variants in STAT4 Associated With Cure of Chronic HBV Infection in HBeAg-positive Patients Treated With Pegylated Interferon-alpha.

BACKGROUND & AIMS: Variants in STAT4 (rs7574865) have been associated with seroconversion to hepatitis B e antigen (HBeAg) and reduction in levels of hepatitis B virus (HBV) DNA in patients with chronic infection treated with interferon alpha (IFNA). We evaluated the associations among rs7574865, loss of HB surface antigen (HBsAg, a marker of functional cure of HBV infection), and response to treatment with pegylated IFNA (PegIFN) or nucleos(t)ide analogues (NUCs) in HBeAg-positive patients with chronic HBV infection. METHODS: We performed a retrospective analysis of 1823 HBeAg-positive patients with chronic HBV infection (954 patients treated with PegIFN and 869 patients treated with NUCs) included in 4 phase-4 multicenter randomized controlled trials. The Cochran-Armitage trend test was used to evaluate the association of rs7574865 genotype with combined response (CR, defined as HBeAg seroconversion and HBV DNA level <2000 IU/mL) and loss of HBsAg at week 72, for patients given PegIFN, or week 104, for patients given NUCs. RESULTS: We found a significant association between rs7574865 genotype and CR (P = .004) and loss of HBsAg (P = .037) in patients treated with PegIFN. In patients with HBV genotype B infection, 43.6% of those with rs7574865 TT achieved a CR, compared to patients with rs7574865 GG (20.5%), and 7.7% had loss of HBsAg, compared to 1.9% of patients with rs7574865 GG. However, in patients treated with NUCs, we found no association of rs7574865 genotype with CR (P = .811) or loss of HBsAg (P=.439). CONCLUSIONS: In a retrospective analysis of data from 4 clinical trials, we found rs7574865 in STAT4 to be associated with functional cure of chronic HBV infection by PegIFN treatment, but not NUCs treatment, in HBeAg-positive patients with HBV genotype B infection.

TP53 R249S mutation detected in circulating tumour DNA is associated with Prognosis of hepatocellular carcinoma patients with or without hepatectomy.

BACKGROUND AND AIMS: Somatic mutation R249S in TP53 is highly common in hepatocellular carcinoma (HCC). We aim to investigate the effects of R249S in ctDNA on the prognosis of HCC. METHODS: We analysed three cohorts including 895 HCC patients. TP53 mutation spectrum was examined by direct sequencing of genomic DNA from tissue specimens in HCC patients with hepatectomy (Cohort 1, N = 260). R249S and other recurrent missense mutations were assessed for their biological functions and associations with overall survival (OS) and progression-free survival (PFS) of HCC patients in Cohort 1. R249S within circulating tumour DNA (ctDNA) was detected through droplet digital polymerase chain reaction (ddPCR) and its association with OS and PRS was analysed in HCC patients with (Cohort 2, N = 275) or without (Cohort 3, N = 360) hepatectomy. RESULTS: In Cohort 1, R249S occupied 60.28% of all TP53 mutations. Overexpression of R249S induced more serious malignant phenotypes than those of the other three identified TP53 recurrent missense mutations. Additionally, R249S, but not other missense mutations, was significantly associated with worse OS (P = .006) and PFS (P = .01) of HCC patients. Consistent with the results in Cohort 1, HCC patients in Cohorts 2 and 3 with R249S had worse OS (P = 8.291 × 10-7 and 2.608 × 10-7 in Cohorts 2 and 3, respectively) and PFS (P = 5.115 × 10-7 and 5.900 × 10-13 in Cohorts 2 and 3, respectively) compared to those without this mutation. CONCLUSIONS: TP53 R249S mutation in ctDNA may serve as a promising prognosis biomarker for HCC patients with or without hepatectomy.

NLRC3 silencing accelerates the invasion of hepatocellular carcinoma cell via IL-6/JAK2/STAT3 pathway activation.

Nucleotide-binding domain, leucine-rich repeat family with a caspase activation and recruitment domain 3 (NLRC3) participates in both immunity and cancer. The aim of this study was to determine the role of NLRC3 in human hepatocellular carcinoma (HCC) and the underlying mechanisms. We collected human liver tissues from nonalcoholic steatohepatitis (NASH), HCC, and adjacent normal tissues to characterize the pattern of NLRC3 expression by real-time quantitative polymerase chain reaction and immunohistochemistry. Then, we used the HCC cell line, HuH-7, transfected with small interfering RNA to silence the NLRC3 expression. 5-Ethynyl-2'-deoxyuridine assay, scratch assay, and transwell invasion assay were used for assessing proliferation, migration, and invasion, respectively. Flow cytometry and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assay were conducted to assess cell apoptosis. The expression of NLRC3 was reduced in human HCC tissues, compared with normal liver and nonalcoholic steatohepatitis tissues. After knocking down of NLRC3, the proliferation, migration, and invasion were increased in HuH-7 cells. And flow cytometry and TUNEL assay showed that HuH-7 cell apoptosis was suppressed after NLRC3 knockdown. As for the underlying mechanisms, knockdown of NLRC3 in HuH-7 cells was associated with the activation of Janus kinase 2/signal transducers and activators of transcription 3 (JAK2/STAT3) pathway under interleukin-6 (IL-6) stimulation. NLRC3 expression was downregulated in human HCC tissues. NLRC3 silencing in HuH-7 cells can promote the proliferation, migration, and invasion of hepatocellular carcinoma cells. JAK2/STAT3 pathway activation induced by IL-6 may be the underlying mechanism for HCC when NLRC3 expression is silenced. And the invasion of HuH-7 cells was partially suppressed by the STAT3 specific inhibitor (cryptotanshinone). Therefore, NLRC3 may play a significant role in HCC and might be a therapeutic target for the treatment of HCC.

Genetic variation in STAT4 predicts response to interferon-α therapy for hepatitis B e antigen-positive chronic hepatitis B.

UNLABELLED: Interferon (IFN)-α is a first-line therapy for chronic hepatitis B (CHB) patients but only initiates a response in a minority of patients. A genetic variant, rs7574865 in STAT4, was recently reported to be associated with risk of developing CHB and hepatitis B virus-related hepatocellular carcinoma. We aimed to determine whether this variant is associated with the response to IFNα treatment for hepatitis B e antigen (HBeAg)-positive CHB patients. We studied 466 HBeAg-positive CHB patients who received either IFNα-2b (n = 224) or pegylated IFNα-2a (n = 242) therapy for 48 weeks and were followed for an additional 24 weeks. The rate of sustained virologic response (SVR), defined as HBeAg seroconversion along with hepatitis B virus DNA level <2000 copies/mL at week 72, was compared among patients with different genotypes of rs7574865. After 48 weeks of treatment and 24 weeks off treatment, the SVR rates in the IFNα-2b and pegylated IFNα-2a therapy groups were 30.4% and 28.9%, respectively. Compared to the rs7574865 GT/TT genotype, the GG genotype (a risk factor of CHB and hepatitis B virus-related hepatocellular carcinoma) was significantly associated with a reduced SVR rate in both patients who received IFNα-2b therapy (21.1% versus 37.2%, P = 0.01) and those who received pegylated IFNα-2a therapy (18.0% versus 41.2%, P = 9.74 × 10(-5) ). In joint analysis of the 466 patients, the GG genotype was associated with an approximately half SVR rate compared to the GT/TT genotype (19.3% versus 39.1%, P = 4.15 × 10(-6) ). A multivariate logistic regression model including rs7574865 and clinical variables showed that rs7574865 was the most significant factor for the prediction of SVR. CONCLUSION: STAT4 rs7574865 is a reliable predictor of response to IFNα therapy for HBeAg-positive CHB patients and may be used for optimizing the treatment of CHB.

Genetic variants in five novel loci including CFB and CD40 predispose to chronic hepatitis B.

UNLABELLED: Hepatitis B virus affects more than 2 billion people worldwide, 350 million of which have developed chronic hepatitis B (CHB). The genetic factors that confer CHB risk are still largely unknown. We sought to identify genetic variants for CHB susceptibility in the Chinese population. We undertook a genome-wide association study (GWAS) in 2,514 CHB cases and 1,130 normal controls from eastern China. We replicated 33 of the most promising signals and eight previously reported CHB risk loci through a two-stage validation totaling 6,600 CHB cases and 8,127 controls in four independent populations, of which two populations were recruited from eastern China, one from northern China and one from southern China. The joint analyses of 9,114 CHB cases and 9,257 controls revealed significant association of CHB risk with five novel loci. Four loci are located in the human leukocyte antigen (HLA) region at 6p21.3, including two nonsynonymous variants (rs12614 [R32W] in complement factor B [CFB], Pmeta =1.28 × 10(-34) ; and rs422951 [T320A] in NOTCH4, Pmeta = 5.33 × 10(-16) ); one synonymous variant (rs378352 in HLA-DOA corresponding to HLA-DOA*010101, Pmeta = 1.04 × 10(-23) ); and one noncoding variant (rs2853953 near HLA-C, Pmeta = 5.06 × 10(-20) ). Another locus is located at 20q13.1 (rs1883832 in the Kozak sequence of CD40, Pmeta = 2.95 × 10(-15) ). Additionally, we validated seven of eight previously reported CHB susceptibility loci (rs3130542 at HLA-C, rs1419881 at TCF19, rs652888 at EHMT2, rs2856718 at HLA-DQB1, rs7453920 at HLA-DQB2, rs3077 at HLA-DPA1, and rs9277535 at HLA-DPA2, which are all located in the HLA region, 9.84 × 10(-71) ≤ Pmeta ≤ 9.92 × 10(-7) ). CONCLUSION: Our GWAS identified five novel susceptibility loci for CHB. These findings improve the understanding of CHB etiology and may provide new targets for prevention and treatment of this disease.

MiR-608 rs4919510 is associated with prognosis of hepatocellular carcinoma.

Single nucleotide polymorphisms (SNPs) within microRNAs (miRNAs) are considered potential markers for risk and prognosis of various cancers. In the current study, we aimed to determine whether miR-608 rs4919510 affected hepatocellular carcinoma (HCC) prognosis. We genotyped rs4919510 using DNA from blood samples of 362 HCC patients receiving surgical resection of HCC tumor. Associations between rs4919510 and overall survival (OS) and demographic characteristics and clinical features were estimated using the Cox proportional hazards model. Results showed that HCC patients who carried the rs4919510 CC genotype had a significantly longer OS compared to those who carried the GG genotype (P = 0.013, hazard ratio [HR] = 0.600, 95 % confidence interval [CI] 0.402-0.897) and the CG + GG genotype (P = 0.033, HR = 0.681, 95 % CI 0.479-0.970) in univariate analysis. Similar results were obtained in multivariate analysis. Further stratification analysis indicated that rs4919510 was significantly associated with OS in patients who were satisfied with one of the following criteria: male gender, HbsAg-positive, α-fetoprotein (AFP)-positive, tumor size >5 cm, cirrhosis, solitary tumor, I + II pTNM stage, or no tumor capsule. Finally, a significantly higher frequency of rs4919510 CC genotype was observed in patients with cirrhosis (22.9 %, 55/240) than those without cirrhosis (14.0 %, 17/121) (P = 0.047). In conclusion, our results illustrated the potential role of miR-608 rs4919510 as a prognostic marker for HCC patients undergoing surgical resection of the tumor.

miR-492G>C polymorphism (rs2289030) is associated with overall survival of hepatocellular carcinoma patients.

Single-nucleotide polymorphisms (SNPs) of microRNAs (miRNAs) are considered potential markers of cancer risk and prognosis in various cancers. In the current study, the primary aim is to determine whether the miR-492G>C polymorphism (rs2289030) altered hepatocellular carcinoma (HCC) prognosis. The SNP rs2289030 of miR-492 was genotyped using DNA from blood samples of 362 HCC patients that had undergone surgical resection of a HCC tumor. The associations between overall survival and demographic characteristics, clinical features, and the SNP rs2289030 were estimated using the Cox proportional hazards model. Results showed that patients who carried the CG genotype (P = 0.015, hazard ratio [HR] = 0.704, 95 % confidence interval [CI] 0.530-0.934) and CG+GG genotype (P = 0.011, HR = 0.703, 95 % CI 0.536-0.924) had significantly decreased risk of death compared to those with the CC genotype. Similar results were found in the multivariate analysis adjusted by tumor size and venous invasion. Further stratification analysis indicated that the effect of rs2289030 had more prominence in patients ≤50 years old and that reported ever using alcohol, male gender, a family history of HCC, being HbsAg or alpha fetoprotein (AFP) positive, differentiation I + II, presence of venous invasion or cirrhosis, multiple tumors, and pTNM stage I + II. Results from this study illustrate the potential use of miR-492 rs2289030 as a prognostic marker for HCC patients that have undergone a surgical resection of the tumor.

Higher BST2 Expression Promotes the Anti-HBV Effect of IFN-α and BST2 Genetic Variant Predicts PegIFNα Treatment Response of HBeAg-Positive Chronic Hepatitis B Patients.

We previously reported that an interferon (IFN)-inducible protein, BST2, was regulated by the JAK-STAT pathway activated by CD40, and subsequently suppressing hepatitis B virus (HBV) repliaction and transcription. The current research attempted to assess the impact of BST2 on the IFN-treated anti-HBV effect, and explore BST2 variants for predicting pegylated IFN alpha (PegIFNα) therapy response of patients with hepatitis B e antigen (HBeAg)-positive chronic hepatitis B (CHB). Using an HBV-transfected cell model, the function of BST2 on HBV DNA replication and transcription driven by IFN was studied. The potentially functional BST2 variants were selected through a strategy of gene-wide screening. The associations of BST2 variants and polygenic score (PGS) model, which was used to quantify the combined influence of several genetic variants, with treatment response were examined in 2 separate PegIFNα-treated cohorts of 238 and 707 patients with CHB, respectively. We found that overexpression of BST2 improved the anti-HBV activity triggered by IFN-α. Among PegIFNα-treated patients with CHB, BST2_rs9576 was screened out to be significantly correlated with combined response (CR; i.e., HBeAg seroconversion along with HBV DNA level <3.3log10 IU/mL, P = 7.12 × 10-5 ). Additionally, there was a strong correlation between the PGS incorporating BST2_rs9576 and other 5 genetic variations (previously described predictors of therapy response to PegIFNα) and CR (P = 1.81 × 10-13 ), hepatitis B surface antigen (HBsAg) level (P = 0.004), as well as HBsAg decline (P = 0.017). In conclusion, higher BST2 expression responded better to IFN-α treatment. BST2_rs9576 is an effective indicator to forecast therapy response of PegIFNα-treated patients with CHB. The PGS possesses the potential to boost the ability of PegIFNα therapy response.

CD55 Variant Associated with Pegylated-interferon α Therapy Response in HBeAg-positive Chronic Hepatitis B Patients.

Background and Aims: Only a small percentage of chronic hepatitis B (CHB) patients effectively respond to treatment with pegylated-interferon alpha (PegIFNα) or nucleos(t)ide analogues (NUCs). We aimed to detect the correlations of complement regulators-associated single-nucleotide polymorphisms (SNPs) with treatment response of hepatitis B e antigen (HBeAg)-positive CHB patients. Methods: A total of 1,763 HBeAg-positive CHB patients were enrolled, 894 received PegIFNα for at least 48 weeks and were followed up for 24 weeks, and 869 received NUCs for 104 weeks. For each patient, nine SNPs in genes encoding for complement regulators were determined and genotyped. To assess the cumulative effect of numerous SNPs, a polygenic score (PGS) was utilized. The correlations of SNPs and PGS with the levels of combined response (CR) and hepatitis B s antigen (HBsAg) loss were also investigated. Results: In PegIFNα-treated patients, an intronic SNP of CD55, rs28371597, was strongly related to CR, and the CR rate in rs28371597_GG genotype carriers was only approximately half that of rs28371597_GT/TT genotype carriers (20.29% vs. 37.10%, p=2.00 × 10-3). A PGS incorporating CD55_rs28371597 and two additional SNPs, CFB_rs12614 and STAT4_rs7574865, which had been considered as predictors for PegIFNα treatment response before, was strongly correlated with the levels of CR (p-trend=7.94×10-6) and HBsAg loss (p-trend=9.40×10-3) in PegIFNα-treated patients. In NUCs-treated individuals, however, none of the nine SNPs were shown to be significantly linked to CHB treatment response. Conclusions: CD55_rs28371597 is a promising biomarker for predicting CHB patients' responsiveness to PegIFNα therapy. The updated PGS may be used for optimizing CHB treatment.

Meta-analysis shows significant association of the TP53 Arg72Pro with ovarian cancer risk.

Growing bodies of studies have been conducted on the association of TP53 Arg72Pro polymorphism with susceptibility to ovarian cancer and have yielded conflicting results. Thus, a meta-analysis was performed to summarize the possible association. 18 case-control studies, including 2,193 ovarian cancer cases and 5,175 controls were identified. The quality of the studies was assessed according to a predefined scale. The strength of the associations between TP53 Arg72Pro polymorphism and ovarian cancer was measured by crude odds ratios (ORs) with 95% confidence intervals (CIs). Overall, no significant association was found between TP53 Arg72Pro polymorphism and ovarian cancer risk when all studies pooled into the meta-analysis in all genetic model. In the subgroup analysis by ethnicity, still no association of this polymorphism with ovarian cancer risk was obtained for all comparison models. However, significantly decreased risks of ovarian cancer were found for Arg/Arg versus Arg/Pro+Pro/Pro (OR 0.84, 95% CI 0.74-0.96) when the analysis was restricted to high quality studies. Conversely, when it was restricted to low quality studies, significantly increased risks were observed for Arg/Arg versus Pro/Pro (OR 1.58, 95% CI 1.09-2.28) and Arg/Arg+Arg/Pro versus Pro/Pro: (OR 1.50, 95% CI 1.10-2.06), which might be spurious due to the poor design of these studies. In conclusion, this meta-analysis suggests that the Arg allele is at a moderately reduced risk for ovarian cancer and this polymorphism might protect against ovarian carcinogenesis.

Implications of Stemness Features in 1059 Hepatocellular Carcinoma Patients from Five Cohorts: Prognosis, Treatment Response, and Identification of Potential Compounds.

Cancer stemness has been reported to drive hepatocellular carcinoma (HCC) tumorigenesis and treatment resistance. In this study, five HCC cohorts with 1059 patients were collected to calculate transcriptional stemness indexes (mRNAsi) by the one-class logistic regression machine learning algorithm. In the TCGA-LIHC cohort, we found mRNAsi was an independent prognostic factor, and 626 mRNAsi-related genes were identified by Spearman correlation analysis. The HCC stemness risk model (HSRM) was trained in the TCGA-LIHC cohort and significantly discriminated overall survival in four independent cohorts. HSRM was also significantly associated with transarterial chemoembolization treatment response and rapid tumor growth in HCC patients. Consensus clustering was conducted based on mRNAsi-related genes to divide 1059 patients into two stemness subtypes. On gene set variation analysis, samples of subtype I were found enriched with pathways such as DNA replication and cell cycle, while several liver-specific metabolic pathways were inhibited in these samples. Somatic mutation analysis revealed more frequent mutations of TP53 and RB1 in the subtype I samples. In silico analysis suggested topoisomerase, cyclin-dependent kinase, and histone deacetylase as potential targets to inhibit HCC stemness. In vitro assay showed two predicted compounds, Aminopurvalanol-a and NCH-51, effectively suppressed oncosphere formation and impaired viability of HCC cell lines, which may shed new light on HCC treatment.

TRIM26 inhibits hepatitis B virus replication by promoting HBx degradation and TRIM26 genetic polymorphism predicts PegIFNα treatment response of HBeAg-positive chronic hepatitis B Patients.

BACKGROUND: Hepatitis B virus (HBV) infection is a serious global health burden. TRIM26 has been reported to affect hepatitis C virus replication. AIMS: To manifest the role of TRIM26 on HBV replication and explore if there are single-nucleotide polymorphisms (SNPs) in TRIM26 associated with response to pegylated interferon-alpha (PegIFNα) treatment in patients with chronic hepatitis B (CHB). METHODS: We investigated the effect and mechanism of TRIM26 on HBV replication in vitro. The association between SNPs in TRIM26 and PegIFNα treatment response was evaluated in two independent cohorts including 238 and 707 patients with HBeAg-positive CHB. RESULTS: Knockdown of TRIM26 increased, while overexpression of TRIM26 inhibited, HBV replication. Co-immunoprecipitation assays and immunofluorescence showed that TRIM26 interacted and co-localised with HBx. Co-transfection of HBx-HIS and TRIM26-FLAG plasmids in Huh7 cells showed that TRIM26 inhibited the expression of HBx. Furthermore, TRIM26 inhibited HBV replication by mediating HBx ubiquitination degradation, and TRIM26 SPRY domain was responsible for the interaction and degradation of HBx. Besides, IFN increased TRIM26 expression. TRIM26 rs116806878 was associated with response to PegIFNα in two CHB cohorts. Moreover, a polygenic score integrating TRIM26 rs116806878, STAT4 rs7574865 and CFB rs12614 (previously reported to be associated with response to PegIFNα) was related to response to PegIFNα in CHB. CONCLUSIONS: TRIM26 inhibits HBV replication; IFN promotes TRIM26 expression. TRIM26 exerts an inhibitory effect on HBx by promoting ubiquitin-mediated degradation of HBx. Furthermore, TRIM26 rs116806878 is a potential predictive biomarker of response to PegIFNα in patients with CHB.

An enhancer variant at 16q22.1 predisposes to hepatocellular carcinoma via regulating PRMT7 expression.

Most cancer causal variants are found in gene regulatory elements, e.g., enhancers. However, enhancer variants predisposing to hepatocellular carcinoma (HCC) remain unreported. Here we conduct a genome-wide survey of HCC-susceptible enhancer variants through a three-stage association study in 11,958 individuals and identify rs73613962 (T > G) within the intronic region of PRMT7 at 16q22.1 as a susceptibility locus of HCC (OR = 1.41, P = 6.02 × 10-10). An enhancer dual-luciferase assay indicates that the rs73613962-harboring region has allele-specific enhancer activity. CRISPR-Cas9/dCas9 experiments further support the enhancer activity of this region to regulate PRMT7 expression. Mechanistically, transcription factor HNF4A binds to this enhancer region, with preference to the risk allele G, to promote PRMT7 expression. PRMT7 upregulation contributes to in vitro, in vivo, and clinical HCC-associated phenotypes, possibly by affecting the p53 signaling pathway. This concept of HCC pathogenesis may open a promising window for HCC prevention/treatment.

A Missense Variant in Granulysin is Associated with the Efficacy of Pegylated-Interferon-Alpha Therapy in Chinese Patients with HBeAg-Positive Chronic Hepatitis B.

PURPOSE: Granulysin (GNLY) is a cytotoxic granule that has been reported to have various antimicrobial activities. We evaluated the association between a missense variant in GNLY (rs11127) and treatment efficacy of pegylated interferon-alpha (PegIFNα) or nucleos(t)ide analogs (NUCs) in patients with chronic hepatitis B (CHB). PATIENTS AND METHODS: We included a total of 1823 patients with hepatitis B e antigen (HBeAg)-positive CHB (954 patients treated with PegIFNα and 869 patients treated with NUCs) in four Phase IV multicenter randomized controlled trials. The association of the GNLY rs11127 genotype with the combined response (CR), defined as HBeAg seroconversion and hepatitis B virus (HBV) DNA level <2000 IU/mL was evaluated. A polygenic score (PGS) was constructed to evaluate the cumulative effect of multiple single-nucleotide polymorphisms (SNPs), including rs11127 and several other SNPs, STAT4 rs7574865, CFB rs12614, and CD55 rs28371597, which were reported to be associated with CR. RESULTS: GNLY rs11127 was significantly associated with CR in patients treated with PegIFNα. The CR rate in patients with the rs11127 CC genotype was higher than that with the CT or TT genotype (40.98% vs 30.34% or 27.09%, P = 0.003). Furthermore, a PGS integrating GNLY rs11127 and three other SNPs was significantly associated with CR in PegIFNα-treated patients (P < 0.001). However, no significant correlation was found between GNLY rs11127 and CR in NUCs-treated patients. CONCLUSION: GNLY rs11127 is an independent biomarker for predicting the response to PegIFNα therapy in HBeAg-positive CHB patients. Furthermore, the PGS, including GNLY rs11127, provides new insights for individualized treatment in clinical practice.

Pan-Cancer Analysis Identified C1ORF112 as a Potential Biomarker for Multiple Tumor Types.

C1ORF112 is an evolutionarily conserved gene across vertebrates. Over the last decade, studies have suggested that C1ORF112 may play a role in tumorigenesis. Using The Cancer Genome Atlas datasets, we explored the role of C1ORF112 across various tumor types in this study. In most tumor types, C1ORF112 expression was increased in tumor tissues compared to corresponding non-tumor tissues. In patients with certain tumor types, higher C1ORF112 expression was correlated with shorter overall survival, disease-free survival, and progression-free survival. Further analyses of C1ORF112 genetic alteration data showed that C1ORF112 amplification and mutations may have an impact on liver hepatocellular carcinoma and uterine corpus endometrial carcinoma prognosis. In cancers including lower grade glioma and adrenocortical carcinoma, C1ORF112 expression was linked to cancer-associated fibroblast infiltration. Gene Ontology analysis showed that C1ORF112 was co-expressed with genes involved in biological processes such as cell cycle and mitotic regulation. The protein interaction network demonstrated that C1ORF112 physically interacted with RAD51, DMC1, and FIGNL1, which have well characterized functions in DNA repair and cell cycle regulation. This pan-cancer study revealed the prognostic value and oncogenic role of C1ORF112 across multiple tumor types.