Jun Kawashima MD , Miho Akabane MD , Mujtaba Khalil MD , Selamawit Woldesenbet MD , Yutaka Endo MD , Kota Sahara MD , Andrea Ruzzenente MD , Francesca Ratti MD , Hugo P. Marques MD , Sara Oliveira MD , Jorge Balaia MD , François Cauchy MD , Vincent Lam MD , George A. Poultsides MD , Minoru Kitago MD , Irinel Popescu MD , Guillaume Martel MD , Ana Gleisner MD , Tom Hugh MD , Matthew Weiss MD , Timothy M. Pawlik MD, PhD, MPH, MTS, MBA, FACS, FSSO, FRACS (Hon.)
{"title":"终末期肝病-甲胎蛋白-肿瘤负荷模型(MELD-AFP-TBS)评分对肝癌肝切除术后预后进行分层","authors":"Jun Kawashima MD , Miho Akabane MD , Mujtaba Khalil MD , Selamawit Woldesenbet MD , Yutaka Endo MD , Kota Sahara MD , Andrea Ruzzenente MD , Francesca Ratti MD , Hugo P. Marques MD , Sara Oliveira MD , Jorge Balaia MD , François Cauchy MD , Vincent Lam MD , George A. Poultsides MD , Minoru Kitago MD , Irinel Popescu MD , Guillaume Martel MD , Ana Gleisner MD , Tom Hugh MD , Matthew Weiss MD , Timothy M. Pawlik MD, PhD, MPH, MTS, MBA, FACS, FSSO, FRACS (Hon.)","doi":"10.1016/j.surg.2025.109388","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Morphologic criteria, such as the Barcelona Clinic Liver Cancer staging system often fail to accurately predict long-term survival among patients undergoing liver resection for hepatocellular carcinoma. We sought to develop a continuous risk score that incorporates established markers of tumor biology and liver function to improve the prediction of overall survival.</div></div><div><h3>Methods</h3><div>Data from a multi-institutional database were used to identify patients who underwent curative-intent hepatectomy for hepatocellular carcinoma. A predictive score for overall survival was developed using weighted beta-coefficients from a multivariable Cox regression model.</div></div><div><h3>Results</h3><div>Among 850 patients, 595 (70.0%) were assigned to the training cohort, and 255 (30.0%) to the test cohort. In the training cohort, multivariable analysis identified the Model of End-Stage Liver Disease (hazard ratio, 1.04; 95% confidence interval, 1.01–1.07), log-transformed alpha-fetoprotein (hazard ratio, 1.07; 95% confidence interval, 1.02–1.13), and tumor burden score (hazard ratio, 1.07; 95% confidence interval, 1.03–1.11) as independent predictors of worse overall survival. The Model of End-Stage Liver Disease–alpha-fetoprotein–tumor burden score, based on the Cox model, stratified patients into low-risk (<em>n</em> = 466, 78.3%) with a 5-year OS of 70.5% and high-risk (<em>n</em> = 129, 21.7%) with a 5-year OS of 47.0% (<em>P</em> < .001). In the test cohort, the Model of End-Stage Liver Disease–alpha-fetoprotein–tumor burden score demonstrated superior discriminative accuracy (C-index: 0.72, time-dependent area under the curve 1-year: 0.80, 3-year 0.76, 5-year 0.70) compared with the Barcelona Clinic Liver Cancer staging system (C-index: 0.53, time-dependent area under the curve 1-year: 0.61, 3-year 0.55, 5-year 0.56). An online tool was made accessible at <span><span>https://jk-osu.shinyapps.io/MELD_AFP_TBS/</span><svg><path></path></svg></span>.</div></div><div><h3>Conclusion</h3><div>The Model of End-Stage Liver Disease–alpha-fetoprotein–tumor burden score provides a novel, accurate tool for prognostic stratification of patients with hepatocellular carcinoma, identifying high-risk patients who may benefit from alternative treatments to improve outcomes.</div></div>","PeriodicalId":22152,"journal":{"name":"Surgery","volume":"183 ","pages":"Article 109388"},"PeriodicalIF":3.2000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Model of End-Stage Liver Disease–alpha-fetoprotein–tumor burden (MELD-AFP-TBS) score to stratify prognosis after liver resection for hepatocellular carcinoma\",\"authors\":\"Jun Kawashima MD , Miho Akabane MD , Mujtaba Khalil MD , Selamawit Woldesenbet MD , Yutaka Endo MD , Kota Sahara MD , Andrea Ruzzenente MD , Francesca Ratti MD , Hugo P. Marques MD , Sara Oliveira MD , Jorge Balaia MD , François Cauchy MD , Vincent Lam MD , George A. Poultsides MD , Minoru Kitago MD , Irinel Popescu MD , Guillaume Martel MD , Ana Gleisner MD , Tom Hugh MD , Matthew Weiss MD , Timothy M. Pawlik MD, PhD, MPH, MTS, MBA, FACS, FSSO, FRACS (Hon.)\",\"doi\":\"10.1016/j.surg.2025.109388\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>Morphologic criteria, such as the Barcelona Clinic Liver Cancer staging system often fail to accurately predict long-term survival among patients undergoing liver resection for hepatocellular carcinoma. We sought to develop a continuous risk score that incorporates established markers of tumor biology and liver function to improve the prediction of overall survival.</div></div><div><h3>Methods</h3><div>Data from a multi-institutional database were used to identify patients who underwent curative-intent hepatectomy for hepatocellular carcinoma. A predictive score for overall survival was developed using weighted beta-coefficients from a multivariable Cox regression model.</div></div><div><h3>Results</h3><div>Among 850 patients, 595 (70.0%) were assigned to the training cohort, and 255 (30.0%) to the test cohort. In the training cohort, multivariable analysis identified the Model of End-Stage Liver Disease (hazard ratio, 1.04; 95% confidence interval, 1.01–1.07), log-transformed alpha-fetoprotein (hazard ratio, 1.07; 95% confidence interval, 1.02–1.13), and tumor burden score (hazard ratio, 1.07; 95% confidence interval, 1.03–1.11) as independent predictors of worse overall survival. The Model of End-Stage Liver Disease–alpha-fetoprotein–tumor burden score, based on the Cox model, stratified patients into low-risk (<em>n</em> = 466, 78.3%) with a 5-year OS of 70.5% and high-risk (<em>n</em> = 129, 21.7%) with a 5-year OS of 47.0% (<em>P</em> < .001). In the test cohort, the Model of End-Stage Liver Disease–alpha-fetoprotein–tumor burden score demonstrated superior discriminative accuracy (C-index: 0.72, time-dependent area under the curve 1-year: 0.80, 3-year 0.76, 5-year 0.70) compared with the Barcelona Clinic Liver Cancer staging system (C-index: 0.53, time-dependent area under the curve 1-year: 0.61, 3-year 0.55, 5-year 0.56). An online tool was made accessible at <span><span>https://jk-osu.shinyapps.io/MELD_AFP_TBS/</span><svg><path></path></svg></span>.</div></div><div><h3>Conclusion</h3><div>The Model of End-Stage Liver Disease–alpha-fetoprotein–tumor burden score provides a novel, accurate tool for prognostic stratification of patients with hepatocellular carcinoma, identifying high-risk patients who may benefit from alternative treatments to improve outcomes.</div></div>\",\"PeriodicalId\":22152,\"journal\":{\"name\":\"Surgery\",\"volume\":\"183 \",\"pages\":\"Article 109388\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0039606025002405\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surgery","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0039606025002405","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SURGERY","Score":null,"Total":0}
Model of End-Stage Liver Disease–alpha-fetoprotein–tumor burden (MELD-AFP-TBS) score to stratify prognosis after liver resection for hepatocellular carcinoma
Introduction
Morphologic criteria, such as the Barcelona Clinic Liver Cancer staging system often fail to accurately predict long-term survival among patients undergoing liver resection for hepatocellular carcinoma. We sought to develop a continuous risk score that incorporates established markers of tumor biology and liver function to improve the prediction of overall survival.
Methods
Data from a multi-institutional database were used to identify patients who underwent curative-intent hepatectomy for hepatocellular carcinoma. A predictive score for overall survival was developed using weighted beta-coefficients from a multivariable Cox regression model.
Results
Among 850 patients, 595 (70.0%) were assigned to the training cohort, and 255 (30.0%) to the test cohort. In the training cohort, multivariable analysis identified the Model of End-Stage Liver Disease (hazard ratio, 1.04; 95% confidence interval, 1.01–1.07), log-transformed alpha-fetoprotein (hazard ratio, 1.07; 95% confidence interval, 1.02–1.13), and tumor burden score (hazard ratio, 1.07; 95% confidence interval, 1.03–1.11) as independent predictors of worse overall survival. The Model of End-Stage Liver Disease–alpha-fetoprotein–tumor burden score, based on the Cox model, stratified patients into low-risk (n = 466, 78.3%) with a 5-year OS of 70.5% and high-risk (n = 129, 21.7%) with a 5-year OS of 47.0% (P < .001). In the test cohort, the Model of End-Stage Liver Disease–alpha-fetoprotein–tumor burden score demonstrated superior discriminative accuracy (C-index: 0.72, time-dependent area under the curve 1-year: 0.80, 3-year 0.76, 5-year 0.70) compared with the Barcelona Clinic Liver Cancer staging system (C-index: 0.53, time-dependent area under the curve 1-year: 0.61, 3-year 0.55, 5-year 0.56). An online tool was made accessible at https://jk-osu.shinyapps.io/MELD_AFP_TBS/.
Conclusion
The Model of End-Stage Liver Disease–alpha-fetoprotein–tumor burden score provides a novel, accurate tool for prognostic stratification of patients with hepatocellular carcinoma, identifying high-risk patients who may benefit from alternative treatments to improve outcomes.
期刊介绍:
For 66 years, Surgery has published practical, authoritative information about procedures, clinical advances, and major trends shaping general surgery. Each issue features original scientific contributions and clinical reports. Peer-reviewed articles cover topics in oncology, trauma, gastrointestinal, vascular, and transplantation surgery. The journal also publishes papers from the meetings of its sponsoring societies, the Society of University Surgeons, the Central Surgical Association, and the American Association of Endocrine Surgeons.