Development and comprehensive validation of a predictive prognosis model for very early HCC recurrence within one year after curative resection: a multicenter cohort study
- Lei Liu 1, Shangdong Qin 2, Kongying Lin 3, Qingguo Xu 4, Yuan Yang 1, Jinzhen Cai 4, Yongyi Zeng 3, Shengxian Yuan 1, Bangde Xiang 2, Wan Yee Lau 1,5, Weiping Zhou 1,6,7
- Lei Liu 1, Shangdong Qin 2, Kongying Lin 3
- 1The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital.
- 2Hepatobiliary Surgery Department, Guangxi Medical University Cancer Hospital, Nanning.
- 3Department of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou.
- 4Organ Transplantation Center, The Institute of Transplantation Science, The Affiliated Hospital of Qingdao University.
- 5Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR.
- 6Key Laboratory of Signaling Regulation and Targeting Therapy of Liver Cancer (SMMU), Ministry of Education.
- 7Shanghai Key Laboratory of Hepatobiliary Tumor Biology (EHBH), Shanghai, People's Republic of China.
- 0The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital.
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View abstract on PubMed
Summary
This summary is machine-generated.A new model, VERM-pre, accurately predicts very early recurrence of hepatocellular carcinoma (HCC) after liver resection. This tool aids in assessing patient risk for 1-year recurrence, improving long-term survival predictions.
Area Of Science
- Hepatobiliary surgery
- Surgical oncology
- Medical informatics
Background
- Early recurrence of hepatocellular carcinoma (HCC) after liver resection (LR) significantly impacts long-term survival.
- Predicting very early (1-year) recurrence risk is crucial for improving patient outcomes.
Purpose Of The Study
- To develop and validate a prognostic model for predicting the risk of very early recurrence of HCC post-liver resection.
- To identify independent risk factors associated with recurrence-free survival in HCC patients undergoing LR.
Main Methods
- A multicenter study enrolled 7401 patients undergoing LR for HCC with curative intent.
- The VERM-pre model was developed using identified risk factors and validated retrospectively and prospectively.
- Key predictors included tumor diameter, number, macrovascular invasion, satellite nodule, alpha-fetoprotein, HBV-DNA, γ-GT, and prothrombin time.
Main Results
- The VERM-pre model demonstrated good discrimination (C-index: 0.722) and was validated across internal, external, and prospective cohorts.
- Calibration plots confirmed satisfactory fitting for predicting early HCC recurrence.
- Three risk strata (low, intermediate, high) showed significantly different recurrence-free survival rates, with the prospective cohort confirming predictive accuracy.
Conclusions
- The VERM-pre model accurately predicts 1-year recurrence rates for HCC after curative LR.
- The model's retrospective and prospective validation supports its clinical utility.
- VERM-pre has been developed into an online tool for practical application.
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