Affiliation:
1. Department of Biomedical Engineering, University of California, Irvine, CA 92617, USA
2. Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine, CA 92604, USA
Abstract
Despite diagnostic advancements, the development of reliable prognostic systems for assessing the risk of cancer recurrence still remains a challenge. In this study, we developed a novel framework to generate highly representative machine-learning prediction models for oral tongue squamous cell carcinoma (OTSCC) cancer recurrence. We identified cases of 5- and 10-year OTSCC recurrence from the SEER database. Four classification models were trained using the H2O ai platform, whose performances were assessed according to their accuracy, recall, precision, and the area under the curve (AUC) of their receiver operating characteristic (ROC) curves. By evaluating Shapley additive explanation contribution plots, feature importance was studied. Of the 130,979 patients studied, 36,042 (27.5%) were female, and the mean (SD) age was 58.2 (13.7) years. The Gradient Boosting Machine model performed the best, achieving 81.8% accuracy and 97.7% precision for 5-year prediction. Moreover, 10-year predictions demonstrated 80.0% accuracy and 94.0% precision. The number of prior tumors, patient age, the site of cancer recurrence, and tumor histology were the most significant predictors. The implementation of our novel SEER framework enabled the successful identification of patients with OTSCC recurrence, with which highly accurate and sensitive prediction models were generated. Thus, we demonstrate our framework’s potential for application in various cancers to build generalizable screening tools to predict tumor recurrence.
Funder
National Institute of General Medical Sciences of the National Institutes of Health
Reference53 articles.
1. Noone, A.M., Howlader, N., Krapcho, M., Miller, D., Brest, A., Yu, M., and Cronin, K.A. (2018). SEER Cancer Statistics Review, National Cancer Institute.
2. Increasing Incidence and Improving Survival of Oral Tongue Squamous Cell Carcinoma;Kim;Sci. Rep.,2020
3. Increasing Incidence of Oral Tongue Squamous Cell Carcinoma in Young White Women, Age 18 to 44 Years;Patel;J. Clin. Oncol. Off. J. Am. Soc. Clin. Oncol.,2011
4. Global Epidemiology of Oral and Oropharyngeal Cancer;Warnakulasuriya;Oral Oncol.,2009
5. Oral Tongue Squamous Cell Carcinoma Survival as Stratified by Age and Sex: A Surveillance, Epidemiology, and End Results Analysis;Mukdad;Laryngoscope,2019
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献