Prognosis of Patients with Hepatocellular Carcinoma Treated with TACE: A New Score Combining Alpha-Fetoprotein and Des-γ-Carboxy Prothrombin
- Shang-Yu Lu 1, Han-Yao Sun 1, Yan Zhou 2, Xi Luo 3, Sheng Liu 1, Wei-Zhong Zhou 1, Hai-Bin Shi 1, Wei Yang 1, Wei Tian 1
- Shang-Yu Lu 1, Han-Yao Sun 1, Yan Zhou 2
- 1Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China.
- 2Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China.
- 3The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
- 0Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China.
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View abstract on PubMed
Summary
This summary is machine-generated.A new AD score using alpha-fetoprotein (AFP) and des-γ-carboxy prothrombin (DCP) offers superior prediction for hepatocellular carcinoma (HCC) patients undergoing TACE. This prognostic tool improves risk assessment and survival prediction.
Area Of Science
- Hepatology
- Oncology
- Biomarkers
Background
- Hepatocellular carcinoma (HCC) poses a global health challenge, necessitating accurate prognostic tools for treatment planning.
- Transarterial chemoembolization (TACE) is a common treatment for HCC, requiring effective preoperative risk assessment.
Purpose Of The Study
- To develop and validate the AD score, a novel risk prediction tool for HCC.
- To assess the preoperative prognostic accuracy of the AD score using serum alpha-fetoprotein (AFP) and des-γ-carboxy prothrombin (DCP) levels.
- To compare the AD score's performance against existing prognostic models in HCC patients undergoing TACE.
Main Methods
- Retrospective analysis of 295 HCC patients undergoing TACE, divided into training (n=147) and testing (n=148) sets.
- Construction of the AD score using log-transformed serum AFP and DCP levels.
- Validation using multivariate Cox regression and comparison with established models (Child Pugh, BCLC, ALBI, etc.) via time-dependent ROC curves and risk stratification.
Main Results
- The AD score demonstrated superior predictive accuracy for HCC prognosis compared to existing models.
- Time-dependent ROC analysis confirmed the AD score's consistent superiority over a 5-year period.
- Risk stratification using the AD score into low, intermediate, and high groups showed significant survival differences in both training and testing cohorts.
Conclusions
- The AD score provides an objective and simple prognostic tool for HCC patients undergoing TACE.
- The AD score enhances predictive accuracy and clinical utility for preoperative risk assessment.
- The AD score represents a potentially significant addition to the preoperative assessment of HCC patients undergoing TACE.
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