Research Papers:

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 and Meixia Lu _

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Oncotarget. 2016; 7:21579-21590. https://doi.org/10.18632/oncotarget.7781

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Hao Shi1, Jian Chen3, Yuncheng Li2, Guojun Li4, Rong Zhong1, Dandan Du1, Ruiwei Meng1, Weijia Kong2, Meixia Lu1

1Department of Epidemiology and Biostatistics, and The Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China

2Department of Otorhinolaryngology, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China

3Department of Head and Neck Surgery, Hubei Cancer Hospital, and Hubei Key Laboratory of Medical Information Analysis & Tumor Diagnosis and Treatment, Wuhan, Hubei, China

4Department of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, Texas, USA

Correspondence to:

Meixia Lu, e-mail: [email protected]

Weijia Kong, e-mail: [email protected]

Keywords: HNSCC, miRNA, prognosis, overall survival, TCGA

Received: January 10, 2016    Accepted: February 20, 2016    Published: February 27, 2016


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.

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