Pre-miRNA variants as predictors of clinical outcome in patients with squamous cell carcinomas of the nonoropharynx.
Abstract
Functional polymorphisms of miRNAs may affect the function and target expression of
miRNAs, which can, in turn, affect the biological activity, etiology, and prognosis
of cancer. We hypothesized that four common polymorphisms in pre-miRNAs (hsa-mir-146a
rs2910164 G > C, hsa-mir-196a2 rs11614913 C > T, hsa-mir-149 rs2292832 G > T, and
hsa-mir-499 rs3746444 A > G) are associated with survival in SCCNOP. We used univariate
and multivariable Cox models to evaluate the associations between the four polymorphisms
and survival. We found that hsa-mir-149 rs2292832 and hsa-mir-499 rs3746444 had statistically
significant associations with survival, but hsa-mir-146a rs2910164 and hsa-mir-196a2
rs11614913 did not. Patients having the hsa-mir-149 CC and hsa-mir-499 TT wild-type
genotypes had significantly better overall, disease-specific, and disease-free survival
compared with those who had the corresponding variant CT/TT and CT/CC genotypes, respectively.
Furthermore, these genotypes were significantly associated with reduced risk of overall
death, death owing to disease, and recurrence after adjustment for important prognostic
confounders, indicating that these pre-miRNA polymorphisms may be prognostic biomarkers
for SCCNOP. Moreover, the stratified analyses based on smoking status and treatment
indicated that the effects of hsa-mir-149 and hsa-mir-499 polymorphisms on survival
were more pronounced in ever smokers and patients treated with chemoradiation. Our
findings support that the hsa-mir-149 rs2292832 and hsa-mir-499 rs3746444 polymorphisms
play a significant role in the prognosis of SCCNOP, especially in smokers and patients
treated with chemoradiation. Prospective studies with larger sample sizes are needed
to confirm these findings.
Type
Journal articleSubject
HumansCarcinoma, Squamous Cell
Head and Neck Neoplasms
Genetic Predisposition to Disease
MicroRNAs
Prognosis
Disease-Free Survival
Proportional Hazards Models
Genotype
Polymorphism, Single Nucleotide
Adult
Aged
Middle Aged
Female
Male
Kaplan-Meier Estimate
Biomarkers, Tumor
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https://hdl.handle.net/10161/18004Published Version (Please cite this version)
10.18632/oncotarget.8512Publication Info
Wang, Chengyuan; Sturgis, Erich M; Chen, Xingming; Zheng, Hongliang; Wei, Qingyi;
& Li, Guojun (2016). Pre-miRNA variants as predictors of clinical outcome in patients with squamous cell
carcinomas of the nonoropharynx. Oncotarget, 7(18). pp. 26444-26453. 10.18632/oncotarget.8512. Retrieved from https://hdl.handle.net/10161/18004.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Qingyi Wei
Professor in Population Health Sciences
Qingyi Wei, MD, PhD, Professor in the Department of Medicine, is Associate Director
for Cancer Control and Population Sciences, Co-leader of CCPS and Co-leader of Epidemiology
and Population Genomics (Focus Area 1). He is a professor of Medicine and an internationally
recognized epidemiologist focused on the molecular and genetic epidemiology of head
and neck cancers, lung cancer, and melanoma. His research focuses on biomarkers and
genetic determinants for the DNA repair deficient phenotype and

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