Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China.
Department of Gastrointestinal Surgery/Department of Emergency, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
BMC Cancer. 2022 Nov 9;22(1):1154. doi: 10.1186/s12885-022-10260-9.
The prognosis of patients with gastric cancer (GC) with gastric outlet obstruction (GOO) after gastrectomy is highly variable. In this study, we aimed to develop a nomogram to predict the prognosis of these patients.
Data from 218 GC patients with GOO who underwent gastrectomy at Sun Yat-sen University Cancer Center were retrospectively collected as a training cohort. The data of 59 patients with the same diagnosis who underwent gastrectomy at the First Affiliated Hospital of Guangxi Medical University were collected as an external verification cohort. A nomogram for the overall survival (OS) was developed using the Cox regression model in the training cohort, which was validated in a verification cohort.
Multivariate analysis showed that the surgical procedure (P < 0.001), period of chemotherapy (P < 0.001), T stage (P = 0.006), N stage (P = 0.040), systemic immune-inflammatory index (SII) (P < 0.001), and fibrinogen level (P = 0.026) were independent factors affecting OS. The nomogram constructed on the aforementioned factors for predicting the 1- and 3-year OS achieved a Harrell's concordance index (C-index) of 0.756 and 0.763 for the training and verification cohorts, respectively. Compared with the 8 American Joint Committee on Cancer (AJCC) Tumour-Node-Metastasis (TNM) staging system, the nomogram had higher C-index values and areas under the curve (AUCs) and slightly higher net clinical benefit.
Compared to the 8 AJCC staging system, the newly developed nomogram showed superior performance in predicting the survival of GC patients with GOO after gastrectomy.
胃癌(GC)患者术后发生胃出口梗阻(GOO)的预后差异很大。本研究旨在建立一个列线图来预测这些患者的预后。
回顾性收集中山大学肿瘤防治中心 218 例 GC 伴 GOO 行胃切除术患者的数据作为训练队列,收集广西医科大学第一附属医院相同诊断的 59 例患者的数据作为外部验证队列。采用 Cox 回归模型在训练队列中建立总生存期(OS)的列线图,并在验证队列中进行验证。
多因素分析显示手术方式(P<0.001)、化疗周期(P<0.001)、T 分期(P=0.006)、N 分期(P=0.040)、系统免疫炎症指数(SII)(P<0.001)和纤维蛋白原水平(P=0.026)是影响 OS 的独立因素。基于上述因素构建的预测 1 年和 3 年 OS 的列线图在训练和验证队列中的 Harrell 一致性指数(C-index)分别为 0.756 和 0.763。与美国癌症联合委员会(AJCC)肿瘤-淋巴结-转移(TNM)分期系统相比,该列线图具有更高的 C 指数值和曲线下面积(AUC),且略有更高的净临床获益。
与 8 版 AJCC 分期系统相比,新建立的列线图在预测 GC 伴 GOO 患者胃切除术后生存方面表现出更好的性能。