Saran Ochir Gongor, YoungRok Choi, Gayoung Kim, Min Kyoung Kim, Sang Hyuk Park, Jiyoung Kim, Jae-Yoon Kim, Su Young Hong, Jeong-Moo Lee, Suk Kyun Hong, Kwang-Woong Lee
{"title":"AFP和PIVKA-II在活体肝移植后HCC中的长期预后价值:一项单中心回顾性研究","authors":"Saran Ochir Gongor, YoungRok Choi, Gayoung Kim, Min Kyoung Kim, Sang Hyuk Park, Jiyoung Kim, Jae-Yoon Kim, Su Young Hong, Jeong-Moo Lee, Suk Kyun Hong, Kwang-Woong Lee","doi":"10.3389/ti.2025.14748","DOIUrl":null,"url":null,"abstract":"<p><p>Despite the development of numerous prognostic models for hepatocellular carcinoma (HCC) recurrence and mortality after liver transplantation, tumor biomarkers such as alpha-fetoprotein (AFP) and protein induced by vitamin K absence-II (PIVKA-II) remain widely used in clinical practice. This study evaluated the performance of AFP and PIVKA-II compared with six prognostic models (RETREAT, SNAPP, MoRAL, R3-AFP, METROTICKET 2.0, and SALT) in a retrospective cohort of 707 adults who underwent living donor liver transplantation (LDLT) for HCC between 2003 and 2018. Patients were stratified into Milan and Beyond Milan groups. Time-dependent receiver operating characteristic curve analysis was conducted using integrated area under the curve (iAUC) and concordance index (C-index) to assess recurrence and mortality. AFP and PIVKA-II (continuous) achieved iAUCs of 0.68-0.75 for recurrence and C-indices of 0.66-0.77 for mortality. Their combination reached iAUCs up to 0.78 and C-indices up to 0.80. Threshold models (AFP ≥200, PIVKA-II ≥400) showed modest predictive performance. Among multivariable models, R3-AFP demonstrated the most consistent performance (iAUC 0.76-0.81; C-index 0.78-0.82). SNAPP, MoRAL, and SALT also performed well. AFP and PIVKA-II may offer practical utility in resource-limited settings. However, multivariable models remain the preferred approach where comprehensive diagnostics are available.</p>","PeriodicalId":23343,"journal":{"name":"Transplant International","volume":"38 ","pages":"14748"},"PeriodicalIF":2.7000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12245734/pdf/","citationCount":"0","resultStr":"{\"title\":\"Long-Term Prognostic Value of AFP and PIVKA-II in HCC After Living Donor Liver Transplantation: A Single-Center Retrospective Study.\",\"authors\":\"Saran Ochir Gongor, YoungRok Choi, Gayoung Kim, Min Kyoung Kim, Sang Hyuk Park, Jiyoung Kim, Jae-Yoon Kim, Su Young Hong, Jeong-Moo Lee, Suk Kyun Hong, Kwang-Woong Lee\",\"doi\":\"10.3389/ti.2025.14748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Despite the development of numerous prognostic models for hepatocellular carcinoma (HCC) recurrence and mortality after liver transplantation, tumor biomarkers such as alpha-fetoprotein (AFP) and protein induced by vitamin K absence-II (PIVKA-II) remain widely used in clinical practice. This study evaluated the performance of AFP and PIVKA-II compared with six prognostic models (RETREAT, SNAPP, MoRAL, R3-AFP, METROTICKET 2.0, and SALT) in a retrospective cohort of 707 adults who underwent living donor liver transplantation (LDLT) for HCC between 2003 and 2018. Patients were stratified into Milan and Beyond Milan groups. Time-dependent receiver operating characteristic curve analysis was conducted using integrated area under the curve (iAUC) and concordance index (C-index) to assess recurrence and mortality. AFP and PIVKA-II (continuous) achieved iAUCs of 0.68-0.75 for recurrence and C-indices of 0.66-0.77 for mortality. Their combination reached iAUCs up to 0.78 and C-indices up to 0.80. Threshold models (AFP ≥200, PIVKA-II ≥400) showed modest predictive performance. Among multivariable models, R3-AFP demonstrated the most consistent performance (iAUC 0.76-0.81; C-index 0.78-0.82). SNAPP, MoRAL, and SALT also performed well. AFP and PIVKA-II may offer practical utility in resource-limited settings. 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Long-Term Prognostic Value of AFP and PIVKA-II in HCC After Living Donor Liver Transplantation: A Single-Center Retrospective Study.
Despite the development of numerous prognostic models for hepatocellular carcinoma (HCC) recurrence and mortality after liver transplantation, tumor biomarkers such as alpha-fetoprotein (AFP) and protein induced by vitamin K absence-II (PIVKA-II) remain widely used in clinical practice. This study evaluated the performance of AFP and PIVKA-II compared with six prognostic models (RETREAT, SNAPP, MoRAL, R3-AFP, METROTICKET 2.0, and SALT) in a retrospective cohort of 707 adults who underwent living donor liver transplantation (LDLT) for HCC between 2003 and 2018. Patients were stratified into Milan and Beyond Milan groups. Time-dependent receiver operating characteristic curve analysis was conducted using integrated area under the curve (iAUC) and concordance index (C-index) to assess recurrence and mortality. AFP and PIVKA-II (continuous) achieved iAUCs of 0.68-0.75 for recurrence and C-indices of 0.66-0.77 for mortality. Their combination reached iAUCs up to 0.78 and C-indices up to 0.80. Threshold models (AFP ≥200, PIVKA-II ≥400) showed modest predictive performance. Among multivariable models, R3-AFP demonstrated the most consistent performance (iAUC 0.76-0.81; C-index 0.78-0.82). SNAPP, MoRAL, and SALT also performed well. AFP and PIVKA-II may offer practical utility in resource-limited settings. However, multivariable models remain the preferred approach where comprehensive diagnostics are available.
期刊介绍:
The aim of the journal is to serve as a forum for the exchange of scientific information in the form of original and high quality papers in the field of transplantation. Clinical and experimental studies, as well as editorials, letters to the editors, and, occasionally, reviews on the biology, physiology, and immunology of transplantation of tissues and organs, are published. Publishing time for the latter is approximately six months, provided major revisions are not needed. The journal is published in yearly volumes, each volume containing twelve issues. Papers submitted to the journal are subject to peer review.