J Cancer 2018; 9(12):2107-2115. doi:10.7150/jca.24530
A Prognostic Nomogram Incorporating Depth of Tumor Invasion to Predict Long-term Overall Survival for Tongue Squamous Cell Carcinoma With R0 Resection
1. Department of Vascular Interventional Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangdong 510060, P. R. China;
2. State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, P. R. China;
3. Department of Medical Statistic and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, P. R. China
4. Department of Gastroenterology, The 7th Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong 510275, P. R. China;
5. Department of Rehabilitation Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510275, P. R. China;
6. Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510080, P. R. China
# These authors contributed equally to this work.
Chang B, He W, Ouyang H, Peng J, Shen L, Wang A, Wu P. A Prognostic Nomogram Incorporating Depth of Tumor Invasion to Predict Long-term Overall Survival for Tongue Squamous Cell Carcinoma With R0 Resection. J Cancer 2018; 9(12):2107-2115. doi:10.7150/jca.24530. Available from http://www.jcancer.org/v09p2107.htm
Purpose: To establish a useful prognostic nomogram to predict long-term overall survival for patients with tongue squamous cell carcinoma (TSCC) after R0 resection.
Patients and Methods: The nomogram was developed using a retrospective cohort of 235 TSCC patients from Sun Yat-sen University Cancer Center between 1 January 2000 and 31 December 2007. An independent dataset of 223 patients was used for external validation. Multivariate Cox proportional hazards model (backward selection; the Akaike information criteria) was applied to select variables for construction of the nomogram. Discrimination and calibration were performed using the area under the receiver operating characteristic (ROC) curve (AUC) and calibration plots.
Results: Using the backward selection of clinically-relevant variables, depth of invasion (hazard ratio [HR], 3.55; P < 0.001), pN (HR, 3.48; P = 0.01), age (HR, 1.03; P < 0.01) and neck dissection (HR, 0.53; P = 0.04) were selected as independent predictive factors of survival. A nomogram was thus established to predict survival of TSCC patients after R0 resection. The calibration curve demonstrated that the nomogram was able to accurately predict 5-year overall survival (OS). In addition, our data showed the AUC of the nomogram were 0.78 and 0.71 based on the internal and external validation, which were significantly better than the 7th TNM stage (0.64/0.55).
Conclusion: The proposed nomogram resulted in accurate prognostic prediction of the 5-year OS for TSCC patients with R0 resection.
Keywords: oral carcinoma, non-liner, continuous variable, TNM stage