A nomogram to predict prognosis for gastric cancer with peritoneal dissemination

作     者：Shi Chen Xijie Chen Runcong Nie Liying Ou Yang Aihong Liu Yuanfang Li Zhiwei Zhou Yingbo Chen Junsheng Peng 

作者机构：Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases the Sixth Affiliated Hospital of Sun Yat-sen University Department of Gastrointestinal Surgery the Sixth Affiliated Hospital of Sun Yat-sen University Department of Gastropancreatic Surgery Sun Yat-sen University Cancer Center Department of Intensive Care Sun Yat-sen University Cancer Center 

出 版 物：《Chinese Journal of Cancer Research》 (中国癌症研究（英文版）)

年 卷 期：2018年第30卷第4期

页      面：449-459页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：supported in part by a major special project grant from Guangzhou Health and Medical Collaborative Innovation (No. 15570006) the Tianhe District Science and Technology Project, Guangdong, China (No. 201434KW020) 

主　　题：Gastric cancer prognosis peritoneal dissemination nomogram 

摘      要：Objective： To identify independent prognostic factors to be included in a nomogram to predict the prognosis ofgastric cancer patients with peritoneal ***： This is a retrospective study on 684 patients with a histological diagnosis of gastric cancer withperitoneal dissemination from the Sun Yat-sen University Cancer Center as the development set, and 62 gastriccancer patients from the Sixth Affiliated Hospital of Sun Yat-sen University as the validation group. Chi-square testand Cox regression analysis were used to compare the clinicopathological variables and the prognosis of gastriccancer patients with peritoneal dissemination. The Harrell＇s concordance index （C-index） and calibration curvewere determined for comparisons of predictive ability of the ***： Univariate and multivariate analyses showed that serum carcinoembryonic antigen （CEA） level（P=0.032）, ascites grading （P=0.008）, presence of extraperitoneal metastasis （P〈0.001）, seeding status （P=0.016） andperformance status （P=0.009） were independent prognostic factors for gastric cancer patients with peritonealdissemination in the development set. The nomogram model was constructed using these five factors. Internalvalidation showed that the C-index of the model was 0.641. For the external validation, the C-index of this modelwas ***： We developed and validated a nomogram to predict the prognosis for gastric cancer patients withperitoneal dissemination. This nomogram may play an important clinical role in guiding palliative therapy for thesetypes of patients, although it may need more data for optimization.