Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Department of Hepatobiliary Surgery, Weihai Central Hospital, Qingdao University, Weihai, China.
Cancer Med. 2024 Mar;13(6):e7108. doi: 10.1002/cam4.7108.
The incidence of pancreatic cancer (PC) is higher in diabetic patients due to disturbances in glucose and lipid metabolism caused by insulin resistance (IR). However, the effect of diabetes as well as IR on the prognosis of PC patients remains inconclusive. Our study aims to assess the impact of IR on the prognosis of PC patients with diabetes.
We conducted a retrospective analysis of 172 PC patients with diabetes in our institute from 2015 to 2021. Prognostic assessment was performed using univariate/multifactorial analysis and survival analysis. The predictive efficacy of metabolic indices was compared using receiver operator characteristic (ROC) curve analysis.
One hundred twenty-one of 172 patients died during follow-up, with a median follow-up of 477 days and a median overall survival (OS) of 270 days. Survival analysis showed a significant difference in OS by IR related parameters, which were triglyceride-glucose index (TyG), triglyceride-glucose index-body mass index (TyG-BMI), and triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-c). The ROC curve indicated that TyG, TyG-BMI, and TG/HDL-c had prognostic efficacy for PC with diabetes. We next optimized TyG-BMI and obtained a new parameter, namely glucose-lipid metabolism index (GLMI), and the patients were classified into GLMI low group and high group based on the calculated cutoff value. The GLMI high group had higher TyG, TyG-BMI, TyG/HDL-c, BMI, TG, total cholesterol (TC), TC/HDL-c, fasting plasma glucose, CA199, and more advanced tumor stage compared to low group. Univariate and multivariate analyses showed that GLMI was an independent prognostic factor. Furthermore, the patients of GLMI high group had worse OS compared to low group and the ROC curves showed GLMI had better predictive ability than TyG and TyG-BMI.
IR is associated with the outcome of PC patients with diabetes and higher level of IR indicates worse prognosis. GLMI has a good predictive value for PC with diabetes.
由于胰岛素抵抗(IR)导致的葡萄糖和脂质代谢紊乱,糖尿病患者的胰腺癌(PC)发病率较高。然而,糖尿病和 IR 对 PC 患者预后的影响仍存在争议。我们的研究旨在评估 IR 对糖尿病合并 PC 患者预后的影响。
我们对 2015 年至 2021 年在我院就诊的 172 例糖尿病合并 PC 患者进行了回顾性分析。采用单因素/多因素分析和生存分析进行预后评估。通过受试者工作特征(ROC)曲线分析比较代谢指标的预测效能。
172 例患者中有 121 例在随访期间死亡,中位随访时间为 477 天,中位总生存期(OS)为 270 天。生存分析显示,IR 相关参数甘油三酯-葡萄糖指数(TyG)、甘油三酯-葡萄糖指数-体重指数(TyG-BMI)和甘油三酯/高密度脂蛋白胆固醇比值(TG/HDL-c)在 OS 方面存在显著差异。ROC 曲线表明,TyG、TyG-BMI 和 TG/HDL-c 对糖尿病合并 PC 具有预后预测效能。我们进一步优化了 TyG-BMI,得到了一个新的参数,即糖脂代谢指数(GLMI),并根据计算的截断值将患者分为 GLMI 低组和高组。GLMI 高组的 TyG、TyG-BMI、TG/HDL-c、BMI、TG、总胆固醇(TC)、TC/HDL-c、空腹血糖、CA199 更高,肿瘤分期更晚。单因素和多因素分析表明,GLMI 是独立的预后因素。此外,GLMI 高组患者的 OS 较低组患者更差,ROC 曲线表明 GLMI 对 PC 的预测能力优于 TyG 和 TyG-BMI。
IR 与糖尿病合并 PC 患者的预后相关,IR 水平越高,预后越差。GLMI 对糖尿病合并 PC 具有良好的预测价值。