Development and Validation of a Nomogram to Predict Cancer-Specific Survival in Elderly Patients With Papillary Renal Cell Carcinoma

Frontiers in Public Health

Zhen Yang¹  Yucheng Xie²  Jinkui Wang³  Zhigang Yao⁴  Chengchuang Wu⁴  Haoyu Tang⁴  Kun Zhang⁴  Chenghao Zhanghuang⁵  Li Li⁵  Bing Yan⁵ 

[1] Department of Oncology, Yunnan Children Solid Tumor Treatment Center, Kunming Children's Hospital (Children's Hospital Affiliated to Kunming Medical University), Kunming, China;Department of Pathology, Kunming Children's Hospital (Children's Hospital Affiliated to Kunming Medical University), Kunming, China;Department of Urology, Chongqing Key Laboratory of Children Urogenital Development and Tissue Engineering, Chongqing Key Laboratory of Pediatrics, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China;Department of Urology, Kunming Children's Hospital (Children's Hospital Affiliated to Kunming Medical University), Kunming, China;Yunnan Key Laboratory of Children's Major Disease Research, Kunming Children's Hospital (Children's Hospital Affiliated to Kunming Medical University), Kunming, China;

关键词: nomogram;    papillary renal cell carcinoma;    cancer-specific survival;    elderly patients;    SEER;   

DOI  :  10.3389/fpubh.2022.874427

来源: DOAJ

【 摘 要 】

ObjectivePapillary renal cell carcinoma (pRCC) is the second most common type of renal cell carcinoma and an important disease affecting older patients. We aimed to establish a nomogram to predict cancer-specific survival (CSS) in elderly patients with pRCC.MethodsPatient information was downloaded from the Surveillance, Epidemiology, and End Results (SEER) project, and we included all elderly patients with pRCC from 2004 to 2018. All patients were randomly divided into a training cohort and a validation cohort. Univariate and multivariate Cox proportional risk regression models were used to identify patient independent risk factors. We constructed a nomogram based on a multivariate Cox regression model to predict CSS for 1-, 3-, and 5- years in elderly patients with pRCC. A series of validation methods were used to validate the accuracy and reliability of the model, including consistency index (C-index), calibration curve, and area under the Subject operating curve (AUC).ResultsA total of 13,105 elderly patients with pRCC were enrolled. Univariate and multivariate Cox regression analysis suggested that age, tumor size, histological grade, TNM stage, surgery, radiotherapy and chemotherapy were independent risk factors for survival. We constructed a nomogram to predict patients' CSS. The training and validation cohort's C-index were 0.853 (95%CI: 0.859–0.847) and 0.855 (95%CI: 0.865–0.845), respectively, suggesting that the model had good discrimination ability. The AUC showed the same results. The calibration curve also indicates that the model has good accuracy.ConclusionsIn this study, we constructed a nomogram to predict the CSS of elderly pRCC patients, which has good accuracy and reliability and can help doctors and patients make clinical decisions.

【 授权许可】

Unknown