Identification of a six microRNA signature as a novel potential prognostic biomarker in patients with head and neck squamous cell carcinoma

Hao Shi, Jian Chen, Yuncheng Li, Guojun Li, Rong Zhong, Dandan Du, Ruiwei Meng, Weijia Kong, Meixia Lu

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

The 5-year survival rate of patients with head and neck squamous cell carcinoma (HNSCC) was only 40%-50%. To investigate the prognostic and predictive value of specific mircoRNAs (miRNAs) in HNSCC. We identified 19 miRNAs associated with over survival (OS) of patients with HNSCC in different clinical classes between 492 HNSCC tissues and 44 normal tissues from The Cancer Genome Atlas (TCGA) dataset. A signature of six miRNAs was identified by the supervised principal component method in the training set. The AUC of the ROC curve for the six microRNA signature predicting 5-year survival was 0.737 (95%CI, 0.627-0.825) in the testing set and 0.708 (95%CI, 0.616-0.785) in the total dataset. In the multivariate Cox regression analysis, patients with high-risk scores had shorter OS (HR, 2.380, 95%CI, 1.361-4.303) than patients with low-risk scores in the total dataset. Therefore, these results provided a new prospect for prognostic biomarker of HNSCC.

Original languageEnglish (US)
Pages (from-to)21579-21590
Number of pages12
JournalOncotarget
Volume7
Issue number16
DOIs
StatePublished - Apr 19 2016

Keywords

  • HNSCC
  • MiRNA
  • Overall survival
  • Prognosis
  • TCGA

ASJC Scopus subject areas

  • Oncology

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