An Intraoperative Model for Predicting Survival and Deciding Therapeutic Schedules: A Comprehensive Analysis of Peritoneal Metastasis in Patients With Advanced Gastric Cancer

Frontiers in Oncology

Ya-Jun Zhao¹  Wen Jiang¹  Hua-Long Zheng³  Jian-Wei Xie³  Mi Lin³  Ze-Ning Huang³  Si-Jin Que³  Zhi-Yu Liu³  Qi-Yue Chen³  Qing Zhong³  Ju-Li Lin³  Long-Long Cao³  Ru-Hong Tu³  Jun Lu⁵  Chao-Hui Zheng⁵  Ping Li⁵  Jia-Bin Wang⁵  Jian-Xian Lin⁵  Chang-Ming Huang⁵ 

[1] Anhui Provincial Hospital Affiliated With Anhui Medical University, Hefei, China;Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China;Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China;Division of Life Sciences and Medicine, Department of Gastrointestinal Surgery, The First Affiliated Hospital of University of Science and Technology of China, University of Science and Technology of China, Hefei, China;Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, China;

关键词: gastric cancer;    peritoneal metastasis;    preoperative blood index;    prognosis model;    therapy;   

DOI  :  10.3389/fonc.2020.550526

来源: DOAJ

【 摘 要 】

Background and Objective: No specialized prognostic model for patients with gastric cancer with peritoneal metastasis (GCPM) exists for intraoperative clinical decision making. This study aims to establish a new prognostic model to provide individual treatment decisions for patients with GCPM.Method: This retrospective analysis included 324 patients with GCPM diagnosed pathologically by laparoscopy from January 2007 to January 2018 who were randomly assigned to different sets (227 in the training set and 97 in the internal validation set). A nomogram was established from preoperative and intraoperative variables determined by a Cox model. The predictive ability and clinical applicability of the PM nomogram (PMN) were compared with the 15th Japanese Classification of Gastric Carcinoma (JCGC) Staging Guidelines for PM (P1abc). Additional external validation was performed using a dataset (n = 39) from the First Affiliated Hospital of University of Science and Technology of China.Results: The median survival time was 8 (range, 1–90) months. In the training set, each PMN substage had significantly different survival curves (P < 0.001), and the PMN was superior to the P1abc based on the results of time-dependent receiver operating characteristic curve, C-index, Akaike information criterion and likelihood ratio chi-square analyses. In the internal and external validation sets, the PMN was also better than the P1abc in terms of its predictive ability. Of the PMN1 patients, those undergoing palliative resection had better overall survival (OS) than those undergoing exploratory surgery (P < 0.05). Among the patients undergoing exploratory surgery, those who received chemotherapy exhibited better OS than those who did not (P < 0.05). Among the patients who received palliative resection, only PMN1 patients exhibited better OS following chemotherapy (P < 0.05).Conclusion: We developed and validated a simple, specific PM model for patients with GCPM that can predict prognosis well and guide treatment decisions.

【 授权许可】

Unknown