Develop and validate nomogram to predict cancer-specific survival for patients with testicular yolk sac tumors

作者全名："Li, Maoxian; Wang, Jinkui; Li, Jinfeng; Zhang, Yongbo; Zhao, Xing; Lin, Yang; Deng, Changkai; Li, Fulin; Peng, Qiang"

作者地址："[Li, Maoxian; Li, Jinfeng; Zhang, Yongbo; Zhao, Xing; Lin, Yang; Deng, Changkai; Li, Fulin; Peng, Qiang] Univ Elect Sci & Technol China, Chengdu Womens & Childrens Cent Hosp, Sch Med, Dept Pediat Surg, Chengdu, Peoples R China; [Li, Maoxian; Wang, Jinkui] Childrens Hosp Chongqing Med Univ, Natl Clin Res Ctr Child Hlth & Disorders, Dept Urol,China Int Sci Technol Cooperat Base Chil, Minist Educ Key Lab Child Dev & Disorders, Chongqing, Peoples R China"

通信作者："Li, MX (通讯作者)，Univ Elect Sci & Technol China, Chengdu Womens & Childrens Cent Hosp, Sch Med, Dept Pediat Surg, Chengdu, Peoples R China.; Li, MX (通讯作者)，Childrens Hosp Chongqing Med Univ, Natl Clin Res Ctr Child Hlth & Disorders, Dept Urol,China Int Sci Technol Cooperat Base Chil, Minist Educ Key Lab Child Dev & Disorders, Chongqing, Peoples R China."

来源：FRONTIERS IN PUBLIC HEALTH

ESI学科分类：SOCIAL SCIENCES, GENERAL

WOS号：WOS:000877961800001

JCR分区：Q1

影响因子：5.2

年份：2022

卷号：10

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：testicular; yolk sac tumors; cancer-specific survival; SEER; nomogram

摘要："PurposeTesticular yolk sac tumor (TYST) is a rare malignant germ cell tumor that mainly occurs in young men. Due to the low incidence of yolk sac tumors, there is a lack of prospective cohort studies with large samples. We aimed to develop a nomogram to predict cancer-specific survival (CSS) in patients with TYST. Materials and methodsPatient information was downloaded from the Surveillance, Epidemiology and End Results (SEER) database. We enrolled all patients with TYST from 2000 to 2018, and all patients were randomly divided into a training set and a validation set. Univariate and multivariate Cox proportional hazards regression models were used to identify independent risk factors for patients. We constructed a nomogram based on the multivariate Cox regression model to predict 1-, 3-, and 5-year CSS in patients with TYST. We used a series of validation methods to test the accuracy and reliability of the model, including the concordance index (C-index), calibration curve and the area under the receiver operating characteristic curve (AUC). Results619 patients with TYST were enrolled in the study. Univariate and multivariate Cox regression analysis showed that age, T stage, M stage and chemotherapy were independent risk factors for CSS. A nomogram was constructed to predict the patient's CSS. The C-index of the training set and the validation set were 0.901 (95%CI: 0.859-0.847) and 0.855 (95%CI: 0.865-0.845), respectively, indicating that the model had excellent discrimination. The AUC showed the same results. The calibration curve also indicated that the model had good accuracy. ConclusionsIn this study, we constructed the nomogram for the first time to predict the CSS of patients with TYST, which has good accuracy and reliability and can help doctors and patients make clinical decisions."

基金机构：　

基金资助正文：