Jiyuan Liu1, Yunlong Wu1, Qizhang Wang1, Xian Liu1, Xuejuan Liao1, Jian Pan1. 1. State Key Laboratory of Oral Diseases, National Clinical Research Center for Clinical Research, Department of Oral & Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
Abstract
AIM: This study aimed to identify PFN2 expression profile, its prognostic value and the mechanism of its dysregulation in head and neck squamous cell carcinoma (HNSC). MATERIALS & METHODS: Bioinformatic analysis was performed using data in the Gene Expression Omnibus Datasets, Human Protein Atlas and The Cancer Genome Atlas-HNSC. RESULTS: PFN2 was upregulated in HNSC than in normal head and neck tissues. High PFN2 expression independently predicted poor overall survival in primary HNSC (hazard ratio: 1.548, 95% CI: 1.174-2.042; p = 0.002). Fourteen percent of HNSC cases had PFN2 amplification. PFN2 DNA methylation was negatively correlated with its mRNA expression (Pearson's r = -0.713). CONCLUSION: High PFN2 expression might serve as a valuable predictor for poor overall survival of HNSC. DNA amplification and hypomethylation might be two mechanisms of PFN2 dysregulation.
AIM: This study aimed to identify PFN2 expression profile, its prognostic value and the mechanism of its dysregulation in head and neck squamous cell carcinoma (HNSC). MATERIALS & METHODS: Bioinformatic analysis was performed using data in the Gene Expression Omnibus Datasets, Human Protein Atlas and The Cancer Genome Atlas-HNSC. RESULTS:PFN2 was upregulated in HNSC than in normal head and neck tissues. High PFN2 expression independently predicted poor overall survival in primary HNSC (hazard ratio: 1.548, 95% CI: 1.174-2.042; p = 0.002). Fourteen percent of HNSC cases had PFN2 amplification. PFN2 DNA methylation was negatively correlated with its mRNA expression (Pearson's r = -0.713). CONCLUSION: High PFN2 expression might serve as a valuable predictor for poor overall survival of HNSC. DNA amplification and hypomethylation might be two mechanisms of PFN2 dysregulation.
Authors: Michael C Rendleman; John M Buatti; Terry A Braun; Brian J Smith; Chibuzo Nwakama; Reinhard R Beichel; Bart Brown; Thomas L Casavant Journal: BMC Bioinformatics Date: 2019-06-17 Impact factor: 3.169