» Articles » PMID: 31522615

Genetic Variant of is Associated With the Metastasis of Osteosarcoma in Chinese Population

Overview
Date 2019 Sep 17
PMID 31522615
Citations 1
Authors
Affiliations
Soon will be listed here.
Abstract

Variant rs7034162 in was reported to be associated with metastasis of osteosarcoma in European cases with genome-wide significance. Our purpose was to replicate the association of rs7034162 with the metastasis of osteosarcoma in the Chinese population and to further characterize the expression level of in osteosarcoma tissues. A total of 321 patients were included in this study. Variant rs7034162 was genotyped for each patient using the Taqman genotyping assay. Fifty-two cases of tumor tissues and adjacent normal tissues were collected during surgery. The χ test was used to investigate the association of rs7034162 with the metastasis of osteosarcoma. The Student test was used to compare the gene expression between patients with metastasis and those without metastasis. The messenger RNA expression level of was then compared among different genotypes of rs7034162 with 1-way analysis of variance test. Ninety-three patients were found to have metastasis. Patients with genotype AA had remarkably higher incidence of metastasis than those with genotype TT (34.4% vs 17.1%, = .002). Patients with metastasis were found to have significantly higher rate of allele A than those without metastasis (53.2% vs 43.9%, = .03). The messenger RNA expression of was significantly lower in tumor tissues of patients with metastasis than in those without metastasis (0.00035 ± 0.00017 vs 0.00063 ± 0.0025, < .001). Compared to patients with genotype TT, those with genotype AA had remarkably decreased expression of (0.00033 ± 0.0014 vs 0.00067 ± 0.00037, = .01). Single-nucleotide polymorphism rs7034162 was associated with metastasis of osteosarcoma in the Chinese population possibly via downregulation of . Further network analyses revealing the related pathways can help elucidate the molecular mechanism of distant metastasis in patients with osteosarcoma.

Citing Articles

Integrated Microarray to Identify the Hub miRNAs and Constructed miRNA-mRNA Network in Neuroblastoma Via Bioinformatics Analysis.

Chen B, Hua Z, Qin X, Li Z Neurochem Res. 2020; 46(2):197-212.

PMID: 33104965 DOI: 10.1007/s11064-020-03155-3.

References
1.
Pruksakorn D, Phanphaisarn A, Arpornchayanon O, Uttamo N, Leerapun T, Settakorn J . Survival rate and prognostic factors of conventional osteosarcoma in Northern Thailand: A series from Chiang Mai University Hospital. Cancer Epidemiol. 2015; 39(6):956-63. DOI: 10.1016/j.canep.2015.10.016. View

2.
Faisham W, Mat Saad A, Alsaigh L, Nor Azman M, Kamarul Imran M, Biswal B . Prognostic factors and survival rate of osteosarcoma: A single-institution study. Asia Pac J Clin Oncol. 2015; 13(2):e104-e110. DOI: 10.1111/ajco.12346. View

3.
Kubista B, Klinglmueller F, Bilban M, Pfeiffer M, Lass R, Giurea A . Microarray analysis identifies distinct gene expression profiles associated with histological subtype in human osteosarcoma. Int Orthop. 2010; 35(3):401-11. PMC: 3047650. DOI: 10.1007/s00264-010-0996-6. View

4.
Mirabello L, Koster R, Moriarity B, Spector L, Meltzer P, Gary J . A Genome-Wide Scan Identifies Variants in NFIB Associated with Metastasis in Patients with Osteosarcoma. Cancer Discov. 2015; 5(9):920-31. PMC: 4560660. DOI: 10.1158/2159-8290.CD-15-0125. View

5.
Huang Z, Yuan L, Jiang Z, Wang D . Associations of polymorphisms in NAT2 gene with risk and metastasis of osteosarcoma in young Chinese population. Onco Targets Ther. 2015; 8:2675-80. PMC: 4590633. DOI: 10.2147/OTT.S92275. View