Genetic variants in long non-coding RNAs UCA1 and NEAT1 were associated with the prognosis of oral squamous cell carcinoma

被引:7
|
作者
Zhu, L. [1 ]
He, Y. [1 ,2 ]
Feng, G. [1 ]
Yu, Y. [1 ]
Wang, R. [1 ]
Chen, N. [1 ]
Yuan, H. [1 ,2 ,3 ]
机构
[1] Nanjing Med Univ, Jiangsu Key Lab Oral Dis, 140 Hanzhong Rd, Nanjing, Peoples R China
[2] Nanjing Med Univ, Affiliated Hosp Stomatol, Dept Oral & Maxillofacial Surg, Nanjing, Peoples R China
[3] Nanjing Med Univ, Canc Ctr, Jiangsu Key Lab Canc Biomarkers Prevent & Treatme, Dept Epidemiol & Biostat, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
Oral squamous cell carcinoma; Single nucleotide polymorphism; Survival analysis; Long non-coding RNA; Urothelial Carcinoma associated 1 RNA; Nuclear paraspeckle assembly transcript 1 (non-protein coding); PROLIFERATION; PROGRESSION; EXPRESSION; INVASION; RISK;
D O I
10.1016/j.ijom.2020.11.024
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Oral squamous cell carcinoma (OSCC) is known for its high incidence, death rate, and relatively low 5-year survival. Long non-coding RNAs (lncRNAs) have been shown to play a significant role in cancerization and cancer progression. However, research on the association of polymorphisms in these lncRNAs with the prognosis of OSCC is lacking. Fifteen functional single-nucleotide polymorphisms (SNPs) in seven lncRNAs were selected to explore the relationship between these lncRNA SNPs and the prognosis among 209 OSCC patients. Kaplan-Meier analysis and Cox proportional hazards regression models were used to examine the associations. Further functional exploration of significant SNPs was done by eQTL analysis. Using multivariate Cox hazards regression analysis, a predictive role of NEAT1 rs3741384 GG and UCA1 rs7255437 TC + TT in a worse prognosis of OSCC was identified. In addition, a marked increased risk of death was observed with an increasing number of unfavourable genotypes (NUG). The NUG was then incorporated with clinical variables in the receiver operating characteristic curve, and the results indicated a potential role of the NUG in predicting OSCC patient risk of death (area under the curve increase from 0.616 to 0.703). In conclusion, the study findings indicate that genetic variants rs3741384 in NEAT and rs7255437 in UCA1 may influence the survival of OSCC patients.
引用
收藏
页码:1131 / 1137
页数:7
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