简介：AbstractThe incidence of pancreatic cancer has been rising worldwide, and its clinical diagnosis and treatment remain a great challenge. To present the update and improvements in the clinical diagnosis and treatment of pancreatic cancer in recent years, Chinese Pancreatic Association, the Chinese Society of Surgery, Chinese Medical Association revised the Guidelines for the Diagnosis and Treatment of Pancreatic Cancer in China (2014) after reviewing evidence-based and problem-oriented literature published during 2015-2021, mainly focusing on highlight issues regarding diagnosis and surgical treatment of pancreatic cancer, conversion strategies for locally advanced pancreatic cancer, treatment of pancreatic cancer with oligo metastasis, adjuvant and neoadjuvant therapy, standardized processing of surgical specimens and evaluation of surgical margin status, systemic treatment for unresectable pancreatic cancer, genetic testing, as well as postoperative follow up of patients with pancreatic cancer. Forty recommendation items were finally proposed based on the above issues, and the quality of evidence and strength of recommendations were graded using the Grades of Recommendation, Assessment, Development, and Evaluation system. This guideline aims to standardize the clinical diagnosis and therapy, especially surgical treatment of pancreatic cancer in China, and further improve the prognosis of patients with pancreatic cancer.

简介：AbstractObjectives: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 <.05). These factors were used to establish Nomogram. The Nomogram showed good accuracy in predicting OS rate, with C-index of 0.727 [95%CI was (0.689, 0.764)] in internal validation and C-index of 0.738 [95%CI was (0.679, 0.796)] in external validation. All calibration curves showed excellent consistency between prediction by Nomogram and actual observation.Conclusion:Novel Nomogram for pancreatic cancer patients with lung metastasis was established to predict OS in our study. It has good prognostic significance. And it could provide the clinicians with more accurate and practical predictive tools which can quickly and accurately assess the patients’ survival prognosis individually, and make clinical suggestion for doctors in the follow-up treatment of patients.