Prognosis of the Keratinizing Squamous Cell Carcinoma of the Tongue Based on Surveillance, Epidemiology, and End Results Database

Author:

Yu Hai1ORCID,Xie Shuping2ORCID,Zheng Xinkai1ORCID,Zhao Qiqi13ORCID,Xia Xichun45ORCID,Ming Wai-Kit6ORCID,Cheng Leong Nga17ORCID,Duan Xi18ORCID,Huang WenHsien Ethan9ORCID,Huang Fang5ORCID,Lyu Jun10ORCID,Deng Liehua13ORCID

Affiliation:

1. Department of Dermatology, The First Affiliated Hospital of Jinan University, Jinan University Institute of Dermatology, Guangzhou, China

2. School of Basic Medicine and Public Health, Jinan University, Guangzhou, China

3. Department of Dermatology, The Fifth Affiliated Hospital of Jinan University, Heyuan, China

4. Institute of Biomedical Transformation, Jinan University, Guangzhou, China

5. Department of Dermatology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Jinan University, Zhuhai, China

6. Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong SAR, China

7. Department of Dermatology, Kiang Wu Hospital, Macau, Macau SAR, China

8. Department of Dermatology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China

9. Gene Hope Clinic, Taipei, China

10. Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China

Abstract

Background. The objective of this study is to determine the prognostic factors of keratinizing squamous cell carcinoma of the tongue (KTSCC) and to establish a prognostic nomogram of KTSCC to assist clinical diagnosis and treatment. Methods. This study identified 3874 patients with KTSCC from the Surveillance, Epidemiology, and End Results (SEER) database, and these patients were randomly divided into the training (70%, (n = 2711) and validation (30%, n = 1163) cohorts. Cox regression was then used to filter variables. Nomograms were then constructed based on meaningful variables. Finally, the concordance index (C-index), net reclassification index (NRI), integrated discrimination improvement (IDI), calibration charts, and decision-curve analysis (DCA), were used to evaluate the discrimination, accuracy and effectiveness of the model. Results. A nomogram model was established for predicting the 3-, 5-, and 8-year overall survival (OS) probabilities of patients with KTSCC. The model indicated that age, radiotherapy sequence, SEER stage, marital status, tumor size, American Joint Committee on Cancer (AJCC) stage, radiotherapy status, race, lymph node dissection status, and sex were factors influencing the OS of patients with KTSCC. Verified by C-index, NRI, IDI, calibration curve, and DCA curve, our model has better discrimination, calibration, accuracy and net benefit compared to the AJCC system. Conclusions. This study identified the factors that affect the survival of KTSCC patients and established a prognostic nomogram that can help clinicians predict the 3-, 5-, and 8-year survival rates of KTSCC patients.

Publisher

Hindawi Limited

Subject

General Medicine

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