Literature DB >> 32166848

Association of TP53 rs1042522 C>G and miR-34b/c rs4938723 T>C polymorphisms with hepatoblastoma susceptibility: A seven-center case-control study.

Peng Liu1, Zhen-Jian Zhuo2, Jinhong Zhu2,3, Zhonghua Yang4, Yijuan Xin5, Suhong Li6, Li Li7, Yong Li8, Huaili Wang1, Jing He2.   

Abstract

BACKGROUND: Hepatoblastoma is a rare malignancy originating from pluripotent stem cells with unknown etiology. An understanding of the etiology in pediatric hepatoblastoma has been hampered by the unavailability of sufficient patient samples. To date, only a few epidemiological studies with small sample sizes have been performed investigating risk factors for hepatoblastoma. TP53 and pri-miR-34b/c genes are implicated in the tumorigenesis, yet the role of their polymorphisms in hepatoblastoma susceptibility remains unknown.
METHODS: We conducted a seven-center case-control study to explore the genetic variants predisposing to hepatoblastoma susceptibility. In our study, we genotyped two functional polymorphisms, the TP53 rs1042522 C>G (Arg72Pro) and miR-34b/c rs4938723 T>C, in 313 cases and 1446 controls using the TaqMan method.
RESULTS: Single loci analysis showed that neither TP53 rs1042522 C>G, nor miR-34b/c rs4938723 T>C significantly modified hepatoblastoma risk. In the stratification analysis, we identified that the miR-34b/c rs4938723 TC/CC genotypes were associated with a decreased risk in patients with clinical stages III + IV hepatoblastoma (adjusted odds ratio = 0.53, 95% confidence interval = 0.33-0.84, P=0.007] compared to the rs4938723 TT genotype. Subsequent analysis further showed that the combination of TP53 and miR-34b/c variant genotypes had no impact on susceptibility hepatoblastoma.
CONCLUSIONS: Taken together, TP53 rs1042522 C>G and miR-34b/c rs4938723 T>C may not confer hepatoblastoma susceptibility. These findings may aid in our understanding of the genetic etiology of hepatoblastoma.
© 2020 John Wiley & Sons, Ltd.

Entities:  

Keywords:  TP53; hepatoblastoma; miR-34b/c; polymorphism; susceptibility

Mesh:

Substances:

Year:  2020        PMID: 32166848     DOI: 10.1002/jgm.3182

Source DB:  PubMed          Journal:  J Gene Med        ISSN: 1099-498X            Impact factor:   4.565


  7 in total

1.  Genetic variations in base excision repair pathway genes and risk of hepatoblastoma: a seven-center case-control study.

Authors:  Zhenjian Zhuo; Ao Lin; Jiao Zhang; Huitong Chen; Yong Li; Zhonghua Yang; Li Li; Suhong Li; Jiwen Cheng; Jing He
Journal:  Am J Cancer Res       Date:  2021-03-01       Impact factor: 6.166

Review 2.  The comprehensive landscape of miR-34a in cancer research.

Authors:  Sijing Li; Xiaohui Wei; Jinyong He; Quanquan Cao; Danyu Du; Xiaoman Zhan; Yuqi Zeng; Shengtao Yuan; Li Sun
Journal:  Cancer Metastasis Rev       Date:  2021-05-06       Impact factor: 9.264

3.  Association study of miR-149, miR-196a2, and miR-499a polymorphisms with coronary artery aneurysm of Kawasaki disease in southern Chinese population.

Authors:  Lanyan Fu; Yufen Xu; Hongyan Yu; Lei Pi; Jinqing Li; Huazhong Zhou; Li Zhang; Tingfang Zhang; Di Che; Xiaoqiong Gu
Journal:  J Gene Med       Date:  2022-01-30       Impact factor: 4.152

4.  Hepatoblastoma: Derived Exosomal LncRNA NEAT1 Induces BMSCs Differentiation into Tumor-Supporting Myofibroblasts via Modulating the miR-132/MMP9 Axis.

Authors:  Yu Hu; Hongyan Zai; Wei Jiang; Zhenglin Ou; Yuanbing Yao; Qin Zhu
Journal:  J Oncol       Date:  2022-03-08       Impact factor: 4.375

5.  METTL1 gene polymorphisms synergistically confer hepatoblastoma susceptibility.

Authors:  Lili Ge; Jinhong Zhu; Jiabin Liu; Li Li; Jiao Zhang; Jiwen Cheng; Yong Li; Zhonghua Yang; Suhong Li; Jing He; Xianwei Zhang
Journal:  Discov Oncol       Date:  2022-08-20

6.  WDR4 gene polymorphisms increase hepatoblastoma susceptibility in girls.

Authors:  Shaohua He; Jinhong Zhu; Zhixiang Xiao; Jiabin Liu; Jiao Zhang; Yong Li; Zhonghua Yang; Jiwen Cheng; Suhong Li; Li Li; Jing He; Di Xu
Journal:  J Cancer       Date:  2022-09-21       Impact factor: 4.478

7.  Haplotypes of single cancer driver genes and their local ancestry in a highly admixed long-lived population of Northeast Brazil.

Authors:  Steffany Larissa Galdino Galisa; Priscila Lima Jacob; Allysson Allan de Farias; Renan Barbosa Lemes; Leandro Ucela Alves; Júlia Cristina Leite Nóbrega; Mayana Zatz; Silvana Santos; Mathias Weller
Journal:  Genet Mol Biol       Date:  2022-02-02       Impact factor: 1.771

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.