AUTHOR=Huang Zhen-Dong , Yao Yang-Yang , Chen Ting-Yu , Zhao Yi-Fan , Zhang Chao , Niu Yu-Ming 

TITLE=Construction of Prognostic Risk Prediction Model of Oral Squamous Cell Carcinoma Based on Nine Survival-Associated Metabolic Genes

JOURNAL=Frontiers in Physiology

VOLUME=Volume 12 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2021.609770

DOI=10.3389/fphys.2021.609770

ISSN=1664-042X

ABSTRACT=The aim was to investigate the independent prognostic factors and construct a prognostic risk prediction model to facilitate the formulation of OSCC clinical treatment plan. We constructed a prognostic model using univariate COX, Lasso and multivariate COX regression analysis and conducted statistical analysis. In this study, 195 randomly obtained sample sets were defined as training set, while 390 samples constituted verification set for testing. A prognostic model was constructed using regression analysis based on 9 survival-associated metabolic genes, among which PIP5K1B, NAGK and HADHB significantly down-regulated, while MINPP1, PYGL, AGPAT4, ENTPD1, CA12 and CA9 significantly up-regulated. Statistical analysis used to evaluate the prognostic model showed a significant different between the high and low risk groups and a poor prognosis in the high risk group (P<0.05) based on the training set. To further clarify, validation sets showed a significant difference between the high-risk group with a worse prognosis and the low-risk group (P<0.05). Independent prognostic analysis based on the training set and verification set indicated that the risk score was superior as an independent prognostic factor compared to other clinical characteristics. GSEA demonstrated that the expression of genes related OSCC. Finally, nomogram incorporating some clinical characteristics and risk score was constructed to predict 1-, 2-, and 3-year survival (C-index=0.7). The proposed 9 metabolic gene prognostic model may contribute to a more accurate and individualized prediction for the prognosis of newly diagnosed OSCC patients, and provide advice for clinical treatment and follow-up observations.