Prognostic Nomogram for pancreatic cancer with lung metastasis: a SEER database-based study

Abstract. Objectives:. To establish Nomogram to predict the overall survival (OS) rate of pancreatic cancer patients with lung metastasis by utilizing the database of the Surveillance, Epidemiology, and End Results (SEER) Program. Methods:. We obtained the data of 363 pancreatic cancer patients with lung metastasis who were diagnosed between 2010 and 2016 from the SEER database. These patients were randomly divided into training (n = 255) and validation (n = 108) cohorts. The Cox proportional hazards regression model was performed to evaluate the prognostic effects of multiple clinicopathologic factors on OS. Significant prognostic factors were combined to build Nomogram. The predictive performance of Nomogram was evaluated via internal (training cohort data) and external validation (validation cohort data) by calculating index of concordance (C-index) and plotting area under curve (AUC) and calibration curves. All data from SEER database have been fully de-identified and may be used without further independent ethics committee approval. Results:. In the training cohort, the results of Cox proportional hazards regression model showed that, tumor location, surgery, chemotherapy and other organ of metastasis were significantly associated with the survival prognosis (P