Abstract

BackgroundOral tongue squamous cell carcinoma (OTSCC) is a devastating tumor with poor prognosis. There is an urgent need for reliable biomarkers to help predict prognosis and guide treatment for OTSCC. In the current study, we aimed to develop a robust multi-gene signature and prognostic nomogram to predict the prognosis of patients with non-distant metastatic OTSCC.MethodsOTSCC-related differentially-expressed genes were screened from The Cancer Genome Atlas (TCGA) database. Univariate Cox regression based on 1,000 bootstrap replicates, LASSO regression and stepwise multivariate Cox regression were utilized to develop a novel multi-mRNA signature for predicting overall survival in OTSCC. The concordance index, area under receiver operating characteristic (ROC AUC) and calibration curve were employed to assess the prediction capacity of the novel multi-gene model. In addition, a prognostic nomogram was constructed to facilitate the clinical use of the fitted model. The Kaplan-Meier with log-rank test was employed to assess differences in overall survival.ResultsWe successfully established a novel 15-mRNA prognostic model for predicting overall survival of non-distant metastatic OTSCC, involving ADTRP, ITGA3, RFC4, CCDC96, CYP2J2, NELL2, SPHK1, SPAG16, HBEGF, S100A9, EGFL6, ADGRG6, PDE4D, ABCA4, and CTTN. The prediction ability of this 15-gene signature was independent of other clinicopathological factors, with an HR of 11.5 (95% CI: 4.70–28.3). Moreover, internal validation by bootstrap analysis yielded a C-index of 0.849, with a 3-year AUC of 0.907 and 5-year AUC of 0.944, which implied excellent prediction accuracy of the fitted model. In addition, external validation by using the GEO dataset (GSE41116) yielded a C-index of 0.804, with a 3-year AUC of 0.868 and 5-year AUC of 0.855, which also indicated good prediction ability of the 15-gene model. Finally, a prognostic nomogram integrating risk group, grade, T stage and N stage was established.ConclusionOur results demonstrate our 15-gene signature was independently associated with overall survival in non-distant metastatic OTSCC. Moreover, the prognostic nomogram integrating the 15-gene signature and clinicopathological factors has potential to be developed as a prognostic tool.

Highlights

  • Oral tongue squamous cell carcinoma (OTSCC) is the most common cancer in the oral cavity, comprising 90% of all cases of oral malignancies [1, 2]

  • For the training set, clinical and gene expression data of 13 normal tongue tissues and 127 OTSCC tissues was downloaded from The Cancer Genome Atlas (TCGA) database

  • Clinical data of these 28 OTSCC patients was downloaded from cBioPortal for Cancer Genomics

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Summary

Introduction

Oral tongue squamous cell carcinoma (OTSCC) is the most common cancer in the oral cavity, comprising 90% of all cases of oral malignancies [1, 2]. New prognostic models are essentially needed to identify the high-risk patients with OTSCC and improve personalized treatment. An increasing amount of evidence has demonstrated that aberrant expression of certain messenger RNAs (mRNA) is closely related to the prognosis of cancer patients and could be used as molecular biomarkers for the prognostic evaluation and identification of potential high-risk patients [4]. A multi-mRNA prognostic signature and nomogram for OTSCC patients are still lacking. Oral tongue squamous cell carcinoma (OTSCC) is a devastating tumor with poor prognosis. There is an urgent need for reliable biomarkers to help predict prognosis and guide treatment for OTSCC.

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