Clinical Research Papers:

A novel prognostic index for oral squamous cell carcinoma patients with surgically treated

Fa Chen _, Yujie Cao, Jiangfeng Huang, Lingjun Yan, Lisong Lin, Fengqiong Liu, Fangping Liu, Junfeng Wu, Yu Qiu, Lin Cai and Baochang He

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Oncotarget. 2017; 8:55525-55533. https://doi.org/10.18632/oncotarget.14821

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Fa Chen1,2,*, Yujie Cao3,*, Jiangfeng Huang1,2, Lingjun Yan1,2, Lisong Lin4, Fengqiong Liu1,2, Fangping Liu1,2, Junfeng Wu1,2, Yu Qiu4, Lin Cai1 and Baochang He1,2

1 Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fujian, China

2 Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fujian, China

3 Department of Stomatology, The First Affiliated Hospital of Fujian Medical University, Fujian, China

4 Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fujian, China

* These authors have contributed equally to the work

Correspondence to:

Baochang He, email:

Keywords: oral squamous cell carcinoma, prognostic prediction model, prognostic index, overall survival, prospective study

Received: November 30, 2016 Accepted: January 11, 2017 Published: January 26, 2017


This study aims to develop an applicable prognostic index with conventional factors for predicting outcome of patients with oral squamous cell carcinoma (OSCC). We performed a prospective study in a large cohort of 892 OSCC patients in Fujian, China. All patients were randomly divided into a discovery group and validation group. A prognostic index was developed based on β value of each significant variable obtained from the multivariate Cox regression model. The results from discovery and validation set demonstrated thatthe model-4(included clinical stage, tumor differentiation, ill-fitting denture, oral hygiene and cigarette smoking) was the optimal model. The optimal cutoff points of prognostic index (1.88 and 2.80) were determined by X-tile program which categorized all subjects into low, middle and high risk subsets. Patients in high risk group were at the greatest risk of death compared with those in low risk group (HR: 6.02; 95%CI: 4.33-8.38). Moreover, there was a significant tendency of the worse overall survival with the higher prognostic index (Ptrend <0.001). The discriminatory capacity of prognostic index was 0.661(95%CI: 0.621-0.701). This study developed and validated a prognostic index that is an economical and useful tool for predicting the clinical outcomes of OSCC patients in Southeast China. Future randomized trials with larger cohort are required to confirm our results.

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