Publicado en 3C Empresa – Volume 13, Issue 1 (Ed. 53)

Autores

• Yunhao Miao


• Guangqiang You


• Xiubo Liu


• Dan Zhang*


• Yaning Wang

Resumen

Abstract

Objective: To establish and evaluate a prognostic survival model for Pancreatic neuroendocrine carcinoma (panNEC) of body and tail based on the Surveillance, Epidemiology, and End Results (SEER). Materials and methods: A retrospective study was conducted to collect data on panNEC of body and tail from the SEER database between 2005 and 2019, including clinical information and treatment regimens. A total of 246 patients were included, and they were randomly divided into a training set and a validation set at a ratio of 8:2. Based on independent risk factors identified through COX multivariate analysis, a nomogram model was constructed and compared with the performance of the 8th edition of the American Joint Committee on Cancer (AJCC) staging system in predicting survival. Results: Tumor differentiation, age, and treatment modality were identified as independent risk factors for prognosis in patients with pancreatic endocrine tumors (P<0.05). The area under the receiver operating characteristic curve (AUROC) for the 1-year, 3-year, and 5-year overall survival rates for the nomogram in the training and validation sets were 0.850 vs. 0.992, 0.899 vs. 0.979, and 0.879 vs. 0.856, respectively. The nomogram had a higher AUROC compared than the AJCC staging. Calibration curves showed good calibration for the nomogram, and clinical decision curves showed that the nomogram had higher accuracy compared with the AJCC staging. Conclusion: Based on the SEER database, the nomogram model can predict individualized survival outcomes for patients with panNEC of body and tail more accurately than the AJCC staging, providing a reference for treatment and follow-up.

Artículo

Palabras clave

Keywords

SEER database, Pancreatic neuroendocrine carcinoma, Nomogram, Prognosis

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