MicroRNA-related genetic variants associated with survival of head and neck squamous cell carcinoma

Owen M. Wilkins, Alexander J. Titus, Lucas A. Salas, Jiang Gui, Melissa Eliot, Rondi A. Butler, Erich M. Sturgis, Guojun Li, Karl T. Kelsey, Brock C. Christensen

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Background: Head and neck squamous cell carcinoma (HNSCC) is commonly diagnosed at an advanced stage, and prognosis for such patients is poor. There remains a gap in our understanding of genetic variants related with HNSCC prognosis. miRNA-related single nucleotide polymorphisms (miR-SNPs) are a class of genetic variants with gene-regulatory potential. Methods: We used a genome-scale approach and independent patient populations in a two-stage approach to test 40,286 common miR-SNPs for association with HNSCC survival in the discovery population (n = 847), and selected the strongest associations for replication in validation phase cases (n = 1,236). Furthermore, we leveraged miRNA interaction databases and miRNA expression data from The Cancer Genome Atlas, to provide functional insight for the identified and replicated associations. Results: Joint population analyses identified novel miR-SNPs associated with overall survival in oral and laryngeal cancers. rs1816158, located within long noncoding RNA MIR100HG, was associated with overall survival in oral cavity cancer (HR, 1.56; 95% confidence interval (CI), 1.21–2.00). In addition, expression of MIR100HG-embedded miRNA, miR-100, was significantly associated with overall survival in an independent cohort of HNSCC cases (HR, 1.25; 95% CI, 1.06–1.49). A SNP in the 3'UTR of SH3BP4 (rs56161233) that overlaps predicted miRNA-binding sites and is predicted to disrupt several miRNA–mRNA interactions was associated with overall survival of laryngeal cancer (HR, 2.57; 95% CI, 1.71–3.86). Conclusions: This work reveals novel miR-SNPs associated with HNSCC survival, and utilizes miRNA-mRNA interaction and expression data to provide functional support for these associations. Impact: These findings extend our understanding of how genetic variation contributes to HNSCC survival, and may contribute to future prognostic models for improved risk stratification.

Original languageEnglish (US)
Pages (from-to)127-136
Number of pages10
JournalCancer Epidemiology Biomarkers and Prevention
Volume28
Issue number1
DOIs
StatePublished - Jan 2019

ASJC Scopus subject areas

  • Epidemiology
  • Oncology

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