title: A genetic variant in pre-miR-27a is associated with a reduced renal cell cancer risk in a Chinese population.
abstract: BACKGROUND
  MicroRNAs (miRNAs) are a class of small non-coding RNAs to regulate cell differentiation, proliferation, development, and apoptosis. The single nucleotide polymorphism (SNP) rs895819 is located at the terminal loop of pre-miR-27a. Here, we aimed to investigate whether SNP rs895819 was associated with the development of renal cell cancer (RCC) in a Chinese population.
  
  
  METHODS
  In this case-control study, we recruited 594 RCC patients and 600 cancer-free controls with frequency matched by age and sex. We genotyped this polymorphism using the TaqMan assay and assessed the effect of this polymorphism on RCC survival. Logistic regression model was used to assess the genetic effects on the development of RCC and interactions between rs895819 polymorphism and risk factors.
  
  
  RESULTS
  Compared with AA homozygote, individuals carrying AG/GG genotypes had a statistically significant reduced susceptibility to RCC (adjusted OR = 0.71, 95% CI = 0.56-0.90). Furthermore, AG/GG genotypes were associated with reduced RCC susceptibility in localized clinical stage (adjusted OR = 0.71, 95% CI = 0.55-0.91), and similar effects were observed in well differentiated and poorly differentiated RCC (adjusted OR = 0.71, 95% CI = 0.55-0.93 for well differentiated, adjusted OR = 0.51, 95% CI = 0.28-0.93 for poorly differentiated). We also observed that rs895819 had multiplicative interactions with age and hypertension. However, the polymorphism did not influence the survival of RCC.
  
  
  CONCLUSIONS
  Our results suggest that the pre-miR-27a rs895819 polymorphism can predict RCC risk in a Chinese population. Larger population-based prospective studies should be used to validate our findings.
authors.affiliation: State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing, China.
authors.forename: Danni
authors.initials: D
authors.lastname: Shi
authors.forename: Pu
authors.initials: P
authors.lastname: Li
authors.forename: Lan
authors.initials: L
authors.lastname: Ma
authors.forename: Dongyan
authors.initials: D
authors.lastname: Zhong
authors.forename: Haiyan
authors.initials: H
authors.lastname: Chu
authors.forename: Fu
authors.initials: F
authors.lastname: Yan
authors.forename: Qiang
authors.initials: Q
authors.lastname: Lv
authors.forename: Chao
authors.initials: C
authors.lastname: Qin
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
authors.forename: Meilin
authors.initials: M
authors.lastname: Wang
authors.forename: Na
authors.initials: N
authors.lastname: Tong
authors.forename: Zhengdong
authors.initials: Z
authors.lastname: Zhang
authors.forename: Changjun
authors.initials: C
authors.lastname: Yin
mesh_terms: D002292:Carcinoma, Renal Cell / Q000235:genetics* / Q000473:pathology; D002681:China; D005260:Female; D056726:Genetic Association Studies; D005838:Genotype; D006801:Humans; D008297:Male; D035683:MicroRNAs / Q000235:genetics*; D008875:Middle Aged; D020641:Polymorphism, Single Nucleotide; D011153:Population; D012307:Risk Factors
chemical_list: C531388:MIRN27 microRNA, human; D035683:MicroRNAs