Value of the Preoperative D-Dimer to Albumin Ratio for Survival and Recurrence Patterns in Gastric Cancer

医学 内科学 危险系数 外科肿瘤学 胃肠病学 接收机工作特性 队列 阶段(地层学) 癌症 多元分析 肿瘤科 外科 置信区间 古生物学 生物
作者
Guosheng Lin,Jun Lü,Jia Lin,Hua‐Long Zheng,Binbin Xu,Zhen Xue,Dong Wu,Lili Shen,Chao‐Hui Zheng,Ping Li,Jian‐Wei Xie,Qi‐Yue Chen,Chang‐Ming Huang
出处
期刊:Annals of Surgical Oncology [Springer Science+Business Media]
卷期号:30 (2): 1132-1144 被引量:12
标识
DOI:10.1245/s10434-022-12625-7
摘要

BackgroundD-dimer (DDI) and albumin are prognostic markers for numerous cancers; however, the predictive value of the preoperative DDI-to-albumin ratio (DAR) on the survival and recurrence patterns of gastric cancer (GC) remains unclear.ObjectiveThe aim of this study was to explore the prognostic value of the DAR in GC.MethodsOur study included 1766 patients with GC, divided into training and testing cohorts at a ratio of 7:3. Patients were classified into either a high-DAR group (> 0.0145) or low-DAR group (≤ 0.0145) according to the cut-off value of receiver operating characteristic (ROC) curve analysis. The relationship between the DAR and recurrence pattern was analyzed in stage II/III patients.ResultsEight preoperative hematological factors were included and 17 composite inflammatory markers were constructed. ROC and random forest analyses indicated that among 17 markers, DAR was the best predictor for overall survival (OS) in GC (p < 0.01). High DAR was significantly associated with poor OS (hazard ratio [HR] 1.89, p < 0.001) and recurrence-free survival (RFS; HR 1.85, p < 0.001). Subgroup analysis showed no differences in OS and RFS between the high- and low-DAR groups in stage I or pT1/2 or pN0/1 patients; however, in stage II/III or pT3/4 or pN2/3 patients, the high-DAR group had shorter OS and RFS rates than the low-DAR group (p < 0.001). Similar results were found in the testing cohort. According to the multivariate analysis based on the training cohort, five indices, including DAR, cT stage, cN stage, age and body mass index (BMI), were incorporated to establish a nomogram model to predict the long-term prognosis of GC. The model showed comparable forecast performance in predicting OS (C-index: 0.773 vs. 0.786) and RFS (C-index: 0.788 vs. 0.795) compared with pTNM. Recurrence pattern analysis in stage II/III patients showed that the high-DAR group had a higher incidence of peritoneal implantation and early recurrence (ER) than the low-DAR group, and the post-recurrence survival in the high-DAR group was significantly shorter than that in the low-DAR group (p = 0.016).ConclusionThe preoperative DAR is a new biomarker for the long-term survival prediction of GC. In advanced GC, a preoperative DAR > 0.0145 aids the timely detection of ER and peritoneal recurrence after surgery, thus guiding individual follow-up strategies.
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