• 1. The First Clinical Medical College of Lanzhou University, Lanzhou 730000, P. R. China;
  • 2. Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou 730000, P. R. China;
  • 3. Precision Medicine Center, The First Hospital of Lanzhou University, Lanzhou 730000, P. R. China;
  • 4. Gansu Province Key Laboratory of Biotherapy and Regenerative Medicine, Lanzhou 730000, P. R. China;
LI Xun, Email: lxdr21@126.com
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Objective To investigate the association of lipid metabolism and other markers with microvascular invasion in hepatocellular carcinoma (HCC) and to develop a preoperative prediction model from it. Methods Data from 389 HCC patients who underwent hepatectomy at First Hospital of Lanzhou University between January 2017 and March 2023 were retrospectively analyzed. These patients were divided into training group (n=272) and validation group (n=117) with a ratio of 7 : 3. The independent risk factors of microvascular invasion (MVI) were determined by univariate and multivariate logistic regression analysis, and the MVI prediction model was established. The prediction efficiency of the model was verified by the analysis of calibration curve, receiver operating characteristic (ROC) curve and decision curve. Results Univariate and multivariate logistic regression analysis showed that the risk factors independently related to MVI before operation included total cholesterol, lactate dehydrogenase, body mass index, alpha-fetoprotein, carbohydrate antigen 125, hepatitis B DNA, maximum tumor diameter and albumin-bilirubin score. MVI prediction model was established based on the above eight risk factors, and its area under ROC curve in the training group and the validation group were 0.79 [95%CI (0.74, 0.84)] and 0.75 [95%CI (0.66, 0.84)] respectively. Calibration curve analysis showed that the prediction curve fitted well with the standard curve. ROC curve analysis showed that the MVI prediction model was efficient. Decision curve analysis confirmed that the MVI prediction model had significant clinical applications. Conclusion This study identified independent correlations between total cholesterol levels, among other things, and MVI, and successfully developed and validated novel predictive model based on these indicators that can help physicians effectively identify individuals at high risk for MVI in patients with hepatocellular carcinoma preoperatively, leading to more rational treatment choices.

Citation: XU Lingcong, ZHENG Yan, GONG Tianle, ZHOU Yongqiang, YAN Jiexi, DING Fanghui, LI Xun. Development and validation of a preoperative predictive model for microvascular invasion in hepatocellular carcinoma based on lipid metabolism markers. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2024, 31(3): 320-329. doi: 10.7507/1007-9424.202310046 Copy

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