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Qin L, Qiu M, Tang J, Liu S, Lin Q, Huang Q, Wei X, Wen Q, Chen P, Zhou Z, Cao J, Liang X, Guo Q, Nong C, Gong Y, Wei Y, Jiang Y, Yu H, Liu Y. Genetic Variants in p53 Pathway Genes Affect Survival of Patients with HBV-Related Hepatocellular Carcinoma. J Hepatocell Carcinoma 2024; 11:1541-1555. [PMID: 39156673 PMCID: PMC11328861 DOI: 10.2147/jhc.s459792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 07/26/2024] [Indexed: 08/20/2024] Open
Abstract
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 (P trend < 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.
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Affiliation(s)
- Liming Qin
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
- School of Public Health, Guangxi Medical University, Nanning, People’s Republic of China
| | - Moqin Qiu
- Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
| | - Jingmei Tang
- School of Public Health, Guangxi Medical University, Nanning, People’s Republic of China
| | - Shuyan Liu
- Key Laboratory of Biological Molecular Medicine Research, Education Department of Guangxi Zhuang Autonomous Region, Guangxi Medical University, Nanning, People’s Republic of China
| | - Qiuling Lin
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
| | - Qiongguang Huang
- School of Public Health, Guangxi Medical University, Nanning, People’s Republic of China
| | - Xiaoxia Wei
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
| | - Qiuping Wen
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
| | - Peiqin Chen
- Editorial Department of Chinese Journal of Oncology Prevention and Treatment, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
| | - Zihan Zhou
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
| | - Ji Cao
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
| | - Xiumei Liang
- Department of Disease Process Management, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
| | - Qian Guo
- Liuzhou Worker’s Hospital, Liuzhou, People’s Republic of China
| | - Cunli Nong
- Liuzhou Worker’s Hospital, Liuzhou, People’s Republic of China
| | - Yizhen Gong
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
| | - Yuying Wei
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
| | - Yanji Jiang
- Department of Scientific Research, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
| | - Hongping Yu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
- School of Public Health, Guangxi Medical University, Nanning, People’s Republic of China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Ministry of Education, Guangxi Medical University, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Nanning, People’s Republic of China
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
| | - Yingchun Liu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
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Liu Y, Fan Y, Gong R, Qiu M, Wei X, Lin Q, Zhou Z, Cao J, Jiang Y, Chen P, Chen B, Yang X, Wei Y, Zhang R, Wen Q, Yu H. Novel genetic variants in the NLRP3 inflammasome-related PANX1 and APP genes predict survival of patients with hepatitis B virus-related hepatocellular carcinoma. Clin Transl Oncol 2024:10.1007/s12094-024-03634-x. [PMID: 39090420 DOI: 10.1007/s12094-024-03634-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Accepted: 07/19/2024] [Indexed: 08/04/2024]
Abstract
BACKGROUND The nod-like receptor protein 3 (NLRP3) is one of the most characterized inflammasomes involved in the pathogenesis of several cancers, including hepatocellular carcinoma (HCC). However, the effects of genetic variants in the NLRP3 inflammasome-related genes on survival of hepatitis B virus (HBV)-related HCC patients are unclear. METHODS We performed multivariable Cox proportional hazards regression analysis to evaluate associations between 299 single-nucleotide polymorphisms (SNPs) in 16 NLRP3 inflammasome-related genes and overall survival (OS) of 866 patients with HBV-related HCC. We further performed expression quantitative trait loci (eQTL) analysis using the data from the GTEx project and 1000 Genomes projects, and performed differential expression analysis using the TCGA dataset to explore possible molecular mechanisms underlying the observed associations. RESULTS We found that two functional SNPs (PANX1 rs3020013 A > G and APP rs9976425 C > T) were significantly associated with HBV-related HCC OS with the adjusted hazard ratio (HR) of 0.83 [95% confidence interval (CI) = 0.73-0.95, P = 0.008], and 1.26 (95% CI = 1.02-1.55, P = 0.033), respectively. Moreover, the eQTL analysis revealed that the rs3020013 G allele was correlated with decreased mRNA expression levels of PANX1 in both normal liver tissues (P = 0.044) and whole blood (P < 0.001) in the GTEx dataset, and PANX1 mRNA expression levels were significantly higher in HCC samples and associated with a poorer survival of HCC patients. However, we did not observe such correlations for APP rs9976425. CONCLUSIONS These results indicated that SNPs in the NLRP3 inflammasome-related genes may serve as potential biomarkers for HBV-related HCC survival, once replicated by additional larger studies.
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Affiliation(s)
- Yingchun Liu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China
| | - Yuman Fan
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi, China
| | - Rongbin Gong
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi, China
| | - Moqin Qiu
- Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China
| | - Xiaoxia Wei
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China
| | - Qiuling Lin
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China
| | - Zihan Zhou
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China
| | - Ji Cao
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China
| | - Yanji Jiang
- Department of Scientific Research, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China
| | - Peiqin Chen
- Editorial Department of Chinese Journal of Oncology Prevention and Treatment, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China
| | - Bowen Chen
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China
| | - Xiaobing Yang
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi, China
| | - Yuying Wei
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China
| | - RuoXin Zhang
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China
| | - Qiuping Wen
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China.
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China.
| | - Hongping Yu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China.
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning, Guangxi, China.
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, 22 Shuangyong Road, Nanning, Guangxi, China.
- Guangxi Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Nanning, 22 Shuangyong Road, Guangxi, China.
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Wei J, Wen Q, Zhan S, Cao J, Jiang Y, Lian J, Mai Y, Qiu M, Liu Y, Chen P, Lin Q, Wei X, Wei Y, Huang Q, Zhang R, He S, Yuan G, Wei Q, Zhou Z, Yu H. Functional genetic variants of the disulfidptosis-related INF2 gene predict survival of hepatitis B virus-related hepatocellular carcinoma. Carcinogenesis 2024; 45:199-209. [PMID: 38270181 DOI: 10.1093/carcin/bgae003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 12/18/2023] [Accepted: 01/23/2024] [Indexed: 01/26/2024] Open
Abstract
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.
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Affiliation(s)
- Junjie Wei
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Qiuping Wen
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Shicheng Zhan
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Ji Cao
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Yanji Jiang
- Department of Scientific Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Jiawei Lian
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Yuejiao Mai
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Moqin Qiu
- Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Yingchun Liu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Peiqin Chen
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Qiuling Lin
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Xiaoxia Wei
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Yuying Wei
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Qiongguang Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Ruoxin Zhang
- School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - Songqing He
- Division of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China
- Guangxi Key Laboratory of Immunology and Metabolism for Liver Diseases, Nanning, Guangxi 530021, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning 530021, China
| | - Guandou Yuan
- Division of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China
- Guangxi Key Laboratory of Immunology and Metabolism for Liver Diseases, Nanning, Guangxi 530021, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning 530021, China
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, 10 Bryn Searle Dr., Durham, NC, 27710, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, USA
| | - Zihan Zhou
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning 530021, China
| | - Hongping Yu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning 530021, China
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, Nanning 530021, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning 530021, China
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Qin L, Qiu M, Lin Q, Jiang B, Zhan S, Wei X, Wei J, Liu Y, Wen Q, Chen P, Jiang Y, Zhou Z, Liang X, Cao J, Gong Y, Wei Y, Wei X, Yu H. Association between novel genetic variants of Notch signaling pathway genes and survival of hepatitis B virus-related hepatocellular carcinoma. Cancer Med 2024; 13:e7040. [PMID: 38562021 PMCID: PMC10985410 DOI: 10.1002/cam4.7040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 10/22/2023] [Accepted: 02/08/2024] [Indexed: 04/04/2024] Open
Abstract
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.
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Affiliation(s)
- Liming Qin
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Moqin Qiu
- Department of Respiratory OncologyGuangxi Medical University Cancer HospitalNanningChina
| | - Qiuling Lin
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Binbin Jiang
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Shicheng Zhan
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Xueyan Wei
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Junjie Wei
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Yingchun Liu
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Qiuping Wen
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Peiqin Chen
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Yanji Jiang
- Department of Scientific ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Zihan Zhou
- Department of Cancer Prevention and ControlGuangxi Medical University Cancer HospitalNanningChina
| | - Xiumei Liang
- Department of Disease Process ManagementGuangxi Medical University Cancer HospitalNanningChina
| | - Ji Cao
- Department of Cancer Prevention and ControlGuangxi Medical University Cancer HospitalNanningChina
| | - Yizhen Gong
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Yuying Wei
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Xiaoxia Wei
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Hongping Yu
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor(Guangxi Medical University), Ministry of EducationNanningChina
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health CommissionGuangxi Medical University Cancer HospitalNanningChina
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Jiang B, Qiu M, Qin L, Tang J, Zhan S, Lin Q, Wei J, Liu Y, Zhou Z, Liang X, Cao J, Lian J, Mai Y, Jiang Y, Yu H. Associations between genetic variants in sphingolipid metabolism pathway genes and hepatitis B virus-related hepatocellular carcinoma survival. Front Oncol 2024; 13:1252158. [PMID: 38260847 PMCID: PMC10801735 DOI: 10.3389/fonc.2023.1252158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 12/15/2023] [Indexed: 01/24/2024] Open
Abstract
Background Although the sphingolipid metabolism pathway is known to play a significant role in tumor progression, there have been few studies on how genetic variants in the sphingolipid metabolism pathway genes affect the survival of patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). Methods We utilized available genotyping data to conduct multivariate Cox proportional hazards regression model analysis, examining the associations of 12,188 single nucleotide polymorphisms (SNPs) in 86 sphingolipid metabolism pathway genes on the survival of 866 HBV-HCC patients, and the model was also used in additive interaction analysis. We used bioinformatics functional prediction and expression quantitative trait locus (eQTL) analysis to explore the potential functions of SNPs and to evaluate the association of SNPs with the corresponding mRNA expression, respectively. We also used the online database TIMER2.0 (http://timer.comp-genomics.org/) to analyze the relationship between the corresponding mRNA expression levels and immune cell infiltration. Results Our study found that GBA2 rs1570247 G>A was significantly associated with elevated survival of HBV-HCC patients [(hazards ratio (HR)=0.74, 95% confidence interval (CI)=0.64-0.86, P<0.001)]. And on an additive scale, a synergistic effect was observed between the GG genotype of rs1570247 and advanced BCLC stage. Among HBV-HCC patients with advanced BCLC stage, those carrying the GBA2 rs1570247 GG genotype exhibited a significantly elevated risk of mortality (HR=3.32, 95%CI=2.45-4.50). Further functional prediction and eQTL analysis revealed that rs1570247 were located in the 5' untranslated region of the GBA2, the A allele of SNP rs1570247 was associated with higher mRNA expression levels of GBA2 in normal liver tissues (P=0.009). Moreover, we observed a positive correlation between GBA2 mRNA expression and the infiltration level of B lymphocytes cell (R=0.331, P<0.001), while a negative correlation was noted between GBA2 mRNA expression and the infiltration level of macrophage M2 in HCC (R=-0.383, P<0.001). Conclusion Our findings suggest that GBA2 rs1570247 G>A in sphingolipid metabolism pathway may be a key factor for survival of HBV-HCC patients by regulating the expression of corresponding genes and affecting the infiltration level of immune cells.
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Affiliation(s)
- Binbin Jiang
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Moqin Qiu
- Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Liming Qin
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Jingmei Tang
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Shicheng Zhan
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Qiuling Lin
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Junjie Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Yingchun Liu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Zihan Zhou
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Xiumei Liang
- Department of Disease Process Management, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Ji Cao
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Jiawei Lian
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Yuejiao Mai
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Yanji Jiang
- Department of Scientific Research Dept, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Hongping Yu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Guangxi Medical University, Ministry of Education, Nanning, China
- Guangxi Health Commission, Key Cultivated Laboratory of Cancer Molecular Medicine, Guangxi Medical University Cancer Hospital, Nanning, China
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6
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Zhan S, Qiu M, Wei X, Wei J, Qin L, Jiang B, Wen Q, Chen P, Lin Q, Wei X, Zhou Z, Jiang Y, Liang X, Li R, Liu Y, Yu H. Potentially functional genetic variants in ferroptosis-related CREB3 and GALNT14 genes predict survival of hepatitis B virus-related hepatocellular carcinoma. Cancer Med 2024; 13:e6848. [PMID: 38151984 PMCID: PMC10807646 DOI: 10.1002/cam4.6848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 11/19/2023] [Accepted: 11/27/2023] [Indexed: 12/29/2023] Open
Abstract
BACKGROUND Ferroptosis is a known crucial player in the development of cancers. However, the effect of single nucleotide polymorphisms (SNPs) in ferroptosis-related genes on survival in hepatitis B virus (HBV)-related hepatocellular carcinoma (HBV-HCC) patients remains unknown. METHODS We used two-stage multivariable Cox proportional hazards regression analyses to estimate the associations between 48,774 SNPs in 480 ferroptosis-related genes and overall survival (OS) of 866 HBV-HCC patients. RESULTS We identified that two potentially functional SNPs (CREB3 rs10814274 C > T and GALNT14 rs17010547 T > C) were significantly independently associated with the OS of HBV-HCC patients (CT + TT verse CC, hazards ratio (HR) = 0.77, 95% confidence interval (CI) = 0.67-0.89, p < 0.001 for rs10814274 and TC + CC verse TT, HR = 0.66, 95% CI = 0.53-0.82, p < 0.001 for rs17010547, respectively). Additional joint assessment of protective genotypes of these two SNPs showed that patients with 1-2 protective genotypes had a significantly better OS compared with those carrying 0 protective genotypes (HR = 0.56, 95% CI = 0.45-0.70, p < 0.001). Moreover, the expression quantitative trait loci (eQTL) analysis revealed that the survival-associated SNP rs10814274 T allele was significantly correlated with reduced CREB3 transcript levels in both normal liver tissues and whole blood cells, while the GALNT14 rs17010547 C allele had a significant correlation with increased GALNT14 transcript levels in whole blood cells. CONCLUSION These results suggest that genetic variants of CREB3 and GALNT14 may affect the survival of HBV-HCC patients, likely via transcriptional regulation of respective genes. However, further studies are required to confirm these findings.
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Affiliation(s)
- Shicheng Zhan
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Moqin Qiu
- Department of Respiratory OncologyGuangxi Medical University Cancer HospitalNanningChina
| | - Xueyan Wei
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Junjie Wei
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Liming Qin
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Binbin Jiang
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Qiuping Wen
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Peiqin Chen
- Editorial Department of Chinese Journal of Oncology Prevention and TreatmentGuangxi Medical University Cancer HospitalNanningChina
| | - Qiuling Lin
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Xiaoxia Wei
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Zihan Zhou
- Department of Cancer Prevention and ControlGuangxi Medical University Cancer HospitalNanningChina
| | - Yanji Jiang
- Scientific Research DepartmentGuangxi Medical University Cancer HospitalNanningChina
| | - Xiumei Liang
- Department of Disease Process ManagementGuangxi Medical University Cancer HospitalNanningChina
| | - Runwei Li
- Department of Civil Engineering, College of EngineeringNew Mexico State UniversityLas CrucesNew MexicoUSA
| | - Yingchun Liu
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health CommissionGuangxi Medical University Cancer HospitalNanningChina
| | - Hongping Yu
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health CommissionGuangxi Medical University Cancer HospitalNanningChina
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University)Ministry of EducationNanningChina
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Zhang Y, Wan G, Li H, Gao L, Liu N, Gao P, Liu Y, Gao X, Duan X. A prediction nomogram for hepatitis B virus-associated hepatocellular carcinoma. Scand J Gastroenterol 2024; 59:70-77. [PMID: 37647217 DOI: 10.1080/00365521.2023.2252546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 08/16/2023] [Accepted: 08/23/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND The present study aimed to develop and validate a new nomogram for predicting the incidence of hepatocellular carcinoma (HCC) among chronic hepatitis B (CHB) patients receiving antiviral therapy from real-world data. METHODS The nomogram was established based on a real-world retrospective study of 764 patients with HBV from October 2008 to July 2020. A predictive model for the incidence of HCC was developed by multivariable Cox regression, and a nomogram was constructed. The predictive accuracy and discriminative ability of the nomogram were assessed by the concordance index (C-index), calibration curves, and decision curve analysis (DCA). Risk group stratification was performed to assess the predictive capacity of the nomogram. The nomogram was compared to three current commonly used predictive models. RESULTS A total of 764 patients with HBV were recruited for this study. Age, family history of HCC, alcohol consumption, and Aspartate aminotransferase-to-Platelet Ratio Index (APRI) were all independent risk predictors of HCC in CHB patients. The constructed nomogram had good discrimination with a C-index of 0.811. The calibration curve and DCA also proved the reliability and accuracy of the nomogram. Three risk groups (low, moderate, and high) with significantly different prognoses were identified (p < 0.001). The model's performance was significantly better than that of other risk models. CONCLUSIONS The nomogram was superior in predicting HCC risk among CHB patients who received antiviral treatment. The model can be utilized in clinical practice to aid decision-making on the strategy of long-term HCC surveillance, especially for moderate- and high-risk patients.
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Affiliation(s)
- Yijin Zhang
- Department of General Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Gang Wan
- Department of Medical Record, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Hongjie Li
- Department of General Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Lili Gao
- Department of General Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Nan Liu
- Department of General Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Ping Gao
- Department of General Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yaping Liu
- Department of General Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xuesong Gao
- Department of General Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xuefei Duan
- Department of General Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China
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