Development and validation of the SPEAR scoring model and predicting overall survival in unresectable hepatocellular carcinoma patients treated with TACE, molecular targeted therapies, and immune checkpoint inhibitors.

533 Background: To develop and validate a predictive model to identify hepatocellular carcinoma (HCC) patients likely to benefit from combined treatment of transarterial chemoembolization (TACE), molecular targeted therapies (MTTs), and immune checkpoint inhibitors (ICIs). Methods: Data from 500 patients with unresectable HCC treated with TACE, MTTs, and ICIs (2019-2023) were analyzed. Patients were divided into a training set (241 from Nanfang Hospital) and a validation set (259 from various hospitals). Key prognostic variables were identified using random forest survival analysis, and the top five were used to construct a Cox proportional hazards model. Model performance was assessed using time-dependent AUC values, calibration curves, clinical decision curves (DCA), and net reclassification improvement (NRI) indices. Risk scores and optimal cut-off values for risk stratification were determined and validated. Results: Five key survival variables were identified: serum alpha-fetoprotein (AFP), red cell distribution width coefficient of variation (RDW-CV), aspartate aminotransferase (AST), platelet-to-lymphocyte ratio (PLR), and extrahepatic metastasis (EHM). The Cox model had a C-index of 0.694 in the training and 0.691 in the validation set. The training set's 1-year, 2-year, 2.5-year, and 3-year AUC values were 0.77, 0.73, 0.73, and 0.72, respectively, and 0.74, 0.74, 0.76, and 0.66 in the validation set. The ARAPE model demonstrated a more significant net benefit than existing models. Median overall survival (mOS) was 33.9 months for low-risk, 20.4 months for intermediate-risk, and 14.2 months for high-risk groups in the training set; in the validation set, mOS was 30.8, 18.7, and 10.5 months, respectively. Conclusions: The SPEAR model (Serum AFP, PLR, EHM, AST, and RDW-CV) model effectively stratifies risk for HCC patients receiving TACE combined with MTTs and ICIs, aiding in personalized treatment decisions.

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Publication Details

Journal
Journal of Clinical Oncology
Published
2025-01-27
DOI
https://doi.org/10.1200/jco.2025.43.4_suppl.533
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
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0.00

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article

Development and validation of the SPEAR scoring model and predicting overall survival in unresectable hepatocellular carcinoma patients treated with TACE, molecular targeted therapies, and immune checkpoint inhibitors.

Mingjian Lu, Feng Shi, Kaiyan Su, Ruyi Lu et al.
1 links
Journal of Clinical Oncology
Hepatocellular Carcinoma Treatment and Prognosis
article

Development and validation of the SPEAR scoring model and predicting overall survival in unresectable hepatocellular carcinoma patients treated with TACE, molecular targeted therapies, and immune checkpoint inhibitors.

Mingjian Lu, Feng Shi, Kaiyan Su, Ruyi Lu, Xiao Hu, Guosheng Yuan, Qingxian Cai, Yongru Chen, Jinzhang Chen, Wenzhe Fan, Qi Li, Rong Li, Wenli Li, Xiao Cheng, Peilin Zhu, Mengya Zang
article en

Abstract

533 Background: To develop and validate a predictive model to identify hepatocellular carcinoma (HCC) patients likely to benefit from combined treatment of transarterial chemoembolization (TACE), molecular targeted therapies (MTTs), and immune checkpoint inhibitors (ICIs). Methods: Data from 500 patients with unresectable HCC treated with TACE, MTTs, and ICIs (2019-2023) were analyzed. Patients were divided into a training set (241 from Nanfang Hospital) and a validation set (259 from various hospitals). Key prognostic variables were identified using random forest survival analysis, and the top five were used to construct a Cox proportional hazards model. Model performance was assessed using time-dependent AUC values, calibration curves, clinical decision curves (DCA), and net reclassification improvement (NRI) indices. Risk scores and optimal cut-off values for risk stratification were determined and validated. Results: Five key survival variables were identified: serum alpha-fetoprotein (AFP), red cell distribution width coefficient of variation (RDW-CV), aspartate aminotransferase (AST), platelet-to-lymphocyte ratio (PLR), and extrahepatic metastasis (EHM). The Cox model had a C-index of 0.694 in the training and 0.691 in the validation set. The training set's 1-year, 2-year, 2.5-year, and 3-year AUC values were 0.77, 0.73, 0.73, and 0.72, respectively, and 0.74, 0.74, 0.76, and 0.66 in the validation set. The ARAPE model demonstrated a more significant net benefit than existing models. Median overall survival (mOS) was 33.9 months for low-risk, 20.4 months for intermediate-risk, and 14.2 months for high-risk groups in the training set; in the validation set, mOS was 30.8, 18.7, and 10.5 months, respectively. Conclusions: The SPEAR model (Serum AFP, PLR, EHM, AST, and RDW-CV) model effectively stratifies risk for HCC patients receiving TACE combined with MTTs and ICIs, aiding in personalized treatment decisions.

Journal of Clinical OncologyVol. 43(4_suppl)
Sun Yat-sen University (CN), Southern University of Science and Technology (CN), Nanfang Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Guangzhou Medical University Cancer Hospital (CN), Guangdong Provincial People's Hospital (CN), Southern Medical University (CN), Guangzhou Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province
Life in Land
Openalex Percentile: Top 98%
Hepatocellular Carcinoma Treatment and Prognosis
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