Association between HLA-DQA1/DRB1 polymorphism and development of hepatocellular carcinoma during entecavir treatment

Hepatitis B surface antigen glycan isomer is a predictor of the development of hepatocellular carcinoma during nucleoside/nucleotide analog therapy

AIM

A recombinant monoclonal antibody against the hepatitis B surface antigen glycan isomer (HBsAgGi) was newly developed using the O-glycosylated PreS2 peptide in M-HBsAg of hepatitis B virus (HBV) genotype C. However, the association between HBsAgGi and the development of hepatocellular carcinoma (HCC) during nucleoside/nucleotide analog (NA) therapy remains unknown.

METHODS

A total of 112 HBV genotype C-infected patients who were treated with NA were included in this study. We assessed the association between HBV markers, including HBsAgGi and other conventional markers, and the development of HCC during NA therapy.

RESULTS

Ten patients developed HCC during the follow-up period. Of the HBV markers, HBsAg (≤3.53 log IU/mL; p = 0.047), HBsAgGi/HBsAg ratio (≥1.10; p = 0.035), and HBV DNA (≤6.3 log copies/mL; p = 0.012) at baseline and HBsAg (≤3.19 log IU/mL; p = 0.033) and HBsAgGi/HBsAg ratio (≥1.09; p = 0.003) at 48 weeks after NA therapy were significantly associated with the development of HCC according to the log rank test. In contrast, no significant association was observed between HBsAgGi and the development of HCC. Multivariate analysis revealed that a platelet count at baseline ≤88 × 103/mm3 (p = 0.026; hazard ratio [HR], 10.577) and an HBsAgGi/HBsAg ratio at 48 weeks after NA therapy ≥1.09 (p = 0.040; HR, 10.099) were independently and significantly associated with the development of HCC.

CONCLUSIONS

Our findings suggest that a combination of on-treatment HBsAgGi and HBsAg predicts the development of HCC during NA therapy.

Importance of CD8 Tex cell-associated gene signatures in the prognosis and immunology of osteosarcoma

As a highly aggressive bone malignancy, osteosarcoma poses a significant therapeutic challenge, especially in the setting of metastasis or recurrence. This study aimed to investigate the potential of CD8-Tex cell-associated genes as prognostic biomarkers to reveal the immunogenomic profile of osteosarcoma and guide therapeutic decisions. mRNA expression data and clinical details of osteosarcoma patients were obtained from the TCGA database (TARGET-OS dataset). The GSE21257 dataset (from the GEO database) was used as an external validation set to provide additional information on osteosarcoma specimens. 84 samples from the TARGET-OS dataset were used as the training set, and 53 samples from the GSE21257 dataset served as the external validation cohort. Univariate Cox regression analysis was utilized to identify CD8 Tex cell genes associated with prognosis. The LASSO algorithm was performed for 1000 iterations to select the best subset to form the CD8 Tex cell gene signature (TRS). Final genes were identified using the multivariate Cox regression model of the LASSO algorithm. Risk scores were calculated to categorize patients into high- and low-risk groups, and clinical differences were explored by Kaplan-Meier survival analysis to assess model performance. Prediction maps were constructed to estimate 1-, 3-, and 5 year survival rates for osteosarcoma patients, including risk scores for CD8 Texcell gene markers and clinicopathologic factors. The ssGSEA algorithm was used to assess the differences in immune function between TRS-defined high- and low-risk groups. TME and immune cell infiltration were further assessed using the ESTIMATE and CIBERSORT algorithms. To explore the relationship between immune checkpoint gene expression levels and the two risk-defined groups. A CD8 Tex cell-associated gene signature was extracted from the TISCH database and prognostic markers including two genes were developed. The high-risk group showed lower survival, and model performance was validated by ROC curves and C-index. Predictive plots were constructed to demonstrate survival estimates, combining CD8 Tex cell gene markers and clinical factors. This study provides valuable insights into the molecular and immune characteristics of osteosarcoma and offers potential avenues for advances in therapeutic approaches.

Comprehensive analysis of immunogenic cell death associated genes expression, tumor microenvironment, and prognosis in hepatocellular carcinoma

Background: Immunogenic cell death (ICD) plays an important role in the development of cancers. This study attempted to explore the role of ICD in the prognosis of hepatocellular carcinoma (HCC).

Methods: Gene expression and clinical data were downloaded from The Cancer Genome Alas and Gene Expression Omnibus dataset. The immune/stromal/Estimate scores of the tumor microenvironment (TME) were calculated by ESTIMATE and CIBERSORT algorithms. Kaplan-Meier analysis, functional enrichment analysis, least absolute shrinkage and selection operator (LASSO) analysis, and univariate and multivariate Cox regression analysis were used for prognostic gene screening and prognostic model construction. The correlation of immune cell infiltration and risk scores was analyzed as well. Molecular docking was used to explore the relevance of related genes to anti-cancer drugs.

Results: Ten ICD associated differentially expressed genes in HCC were found, and all of them had good predictive ability for HCC. ICD gene high amount of expression group was associated with poor prognosis (p = 0.015). The TME, immune cell infiltration and gene expression were different between ICD high and low groups (all p < 0.05). Six ICD associated genes (BAX, CASP8, IFNB1, LY96, NT5E and PIK3CA) which could predict the survival status were identified and used to construct the prognostic model for HCC. A risk score was calculated and it could be used as an independent prognostic factor in HCC patients (p < 0.001). In addition, the risk score had a positive correlation with macrophage M0 (r = 0.33, p = 0.0086). Molecular docking indicated that sorafenib could bind strongly to the target protein, representing that sorafenib may exert anticancer effects through these six ICD associated genes.

Conclusion: This study established a prognostic model including six ICD associated genes for HCC, which may deepen our understanding of ICD and guide therapy for HCC patients.

Soluble programmed cell death-1 predicts hepatocellular carcinoma development during nucleoside analogue treatment

Soluble immune checkpoint molecules are emerging novel mediators of immune regulation. However, it is unclear whether soluble immune checkpoint proteins affect the development of hepatocellular carcinoma (HCC) during nucleos(t)ide analogue (NA) treatment in patients with chronic hepatitis B virus infection. This study included 122 NA-naïve patients who received NA therapy. We assessed the associations of clinical factors, including soluble immune checkpoint proteins, with HCC development during NA treatment. The baseline serum concentrations of 16 soluble immune checkpoint proteins were measured using multiplexed fluorescent bead-based immunoassay. In total, 13 patients developed HCC during the follow-up period (median duration, 4.3 years). Of the 16 proteins, soluble inducible T-cell co-stimulator (≥ 164.71 pg/mL; p = 0.014), soluble programmed cell death-1 (sPD-1) (≤ 447.27 pg/mL; p = 0.031), soluble CD40 (≤ 493.68 pg/mL; p = 0.032), and soluble herpes virus entry mediator (≤ 2470.83 pg/mL; p = 0.038) were significantly associated with HCC development (log-rank test). In multivariate analysis, an sPD-1 level ≤ 447.27 pg/mL (p = 0.014; hazard ratio [HR], 4.537) and α-fetoprotein level ≥ 6.4 ng/mL (p = 0.040; HR, 5.524) were independently and significantly associated with HCC development. Pre-treatment sPD-1 is a novel predictive biomarker for HCC development during NA treatment.

Association between Polygenetic Risk Scores of Low Immunity and Interactions between These Scores and Moderate Fat Intake in a Large Cohort

White blood cell (WBC) counts represent overall immunity. However, a few studies have been conducted to explore the genetic impacts of immunity and their interaction with lifestyles. We aimed to identify genetic variants associated with a low-WBC risk and document interactions between polygenetic risk scores (PRS), lifestyle factors, and nutrient intakes that influence low-WBC risk in a large hospital-based cohort. Single nucleotide polymorphisms (SNPs) were selected by genome-wide association study of participants with a low-WBC count (<4 × 109/L, n = 4176; low-WBC group) or with a normal WBC count (≥4 × 109/L, n = 36,551; control group). The best model for gene-gene interactions was selected by generalized multifactor dimensionality reduction. PRS was generated by summing selected SNP risk alleles of the best genetic model. Adjusted odds ratio (ORs) of the low-WBC group were 1.467 (1.219-1.765) for cancer incidence risk and 0.458 (0.385-0.545) for metabolic syndrome risk. Vitamin D intake, plant-based diet, and regular exercise were positively related to the low-WBC group, but smoking and alcohol intake showed an inverse association. The 7 SNPs included in the best genetic model were PSMD3_rs9898547, LCT_rs80157389, HLA-DRB1_rs532162239 and rs3097649, HLA-C rs2308575, CDKN1A_rs3176337 and THRA_rs7502539. PRS with 7 SNP model were positively associated with the low-WBC risk by 2.123-fold (1.741 to 2.589). PRS interacted with fat intake and regular exercise but not with other nutrient intakes or lifestyles. The proportion with the low WBC in the participants with high-PRS was lower among those with moderate-fat intake and regular exercise than those with low-fat intake and no exercise. In conclusion, adults with high-PRS had a higher risk of a low WBC count, and they needed to be advised to have moderate fat intake (20-25 energy percent) and regular exercise.

Nonreceptor protein tyrosine phosphatases (NRPTPs) gene family associates with the risk of hepatocellular carcinoma in a Chinese hepatitis B virus-related subjects

Nonreceptor protein tyrosine phosphatases (NRPTPs) are reported to be associated with several human cancers, but their roles in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) remain unclear. Here, we integrated bioinformatics tools, population association analyses, and biological assays to systematically screen for potentially functional single nucleotide polymorphisms (SNPs) within the 17 NRPTPs genes and evaluate the effects of candidate SNPs on the risk of HCC or persistent HBV infection. A total of 790 HBV-related HCC cases and 1454 cancer-free controls were enrolled. Controls included 711 HBV persistent carriers and 743 spontaneously recovered subjects. Results demonstrated that PTPN4 rs9308777 (odds ratio [OR] = 1.25, 95% confidence interval [CI] = 1.06-1.49, P = .009) and PTPN12 rs350050 (OR = 1.26, 95% CI = 1.10-1.45, P = .001), were significantly associated with HCC risk, but not with persistent HBV infection risk. The cumulative risk effect of these two SNPs was more significantly increased the susceptibility to HCC (OR = 1.27, 95% CI = 1.14-1.41, P = 2.40 × 10^-5 ). Subsequent biological assays further revealed the potential pathogenesis that PTPN4 rs9308777 might decrease the gene expression, and PTPN12 rs3750050 might promote cell proliferation by attenuating PTPN12's inhibitory activity on EGFR/ERK pathway. In summary, our integrative study highlights that PTPN4 and PTPN12 are significantly associated with HBV-related HCC risk, but do not influence persistent HBV infection. These findings shed light on the importance of the synergistic effects of regulatory and missense variants on the risk for HCC, and provide data to support personalized cancer medicine in the future.