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p53通路基因的遗传变异影响HBV相关性肝细胞癌患者的生存
Authors 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
Received 16 January 2024
Accepted for publication 26 July 2024
Published 12 August 2024 Volume 2024:11 Pages 1541—1555
DOI https://doi.org/10.2147/JHC.S459792
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Ahmed Kaseb
Liming Qin,1,2,* Moqin Qiu,3,* Jingmei Tang,2 Shuyan Liu,4 Qiuling Lin,5 Qiongguang Huang,2 Xiaoxia Wei,5 Qiuping Wen,1 Peiqin Chen,6 Zihan Zhou,7 Ji Cao,7 Xiumei Liang,8 Qian Guo,9 Cunli Nong,9 Yizhen Gong,5 Yuying Wei,1 Yanji Jiang,10 Hongping Yu,1,2,11– 13 Yingchun Liu1
1Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China; 2School of Public Health, Guangxi Medical University, Nanning, People’s Republic of China; 3Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China; 4Key Laboratory of Biological Molecular Medicine Research, Education Department of Guangxi Zhuang Autonomous Region, Guangxi Medical University, Nanning, People’s Republic of China; 5Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China; 6Editorial Department of Chinese Journal of Oncology Prevention and Treatment, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China; 7Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China; 8Department of Disease Process Management, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China; 9Liuzhou Worker’s Hospital, Liuzhou, People’s Republic of China; 10Department of Scientific Research, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China; 11Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Ministry of Education, Guangxi Medical University, Nanning, People’s Republic of China; 12Guangxi Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Nanning, People’s Republic of China; 13Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health Commission, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Yingchun Liu; Hongping Yu, Department of Experimental Research, Guangxi Medical University Cancer Hospital, 71# Hedi Road, Qingxiu District, Nanning, People’s Republic of China, Tel +86-15877191237 ; +86-771-5330850, Fax +86-771-5312000, Email liuyingchun@stu.gxmu.edu.cn; yuhongping@stu.gxmu.edu.cn
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.
Keywords: hepatocellular carcinoma, hepatitis B virus, p53 signaling pathway, genetic variants, survival