Prediction of Tumor Recurrence by α-Fetoprotein Model after Curative Resection for Hepatocellular Carcinoma
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.17/4308 |
Resumo: | Background: Preoperative α-fetoprotein (AFP) level levels may help select patients with hepatocellular carcinoma (HCC) for surgery. The objective of the current study was to assess an AFP model to predict tumor recurrence and patient survival after curative resection for HCC. Methods: Patients undergoing curative-intent resection for HCC between 2000 and 2017 were identified from a multi-institutional database. AFP score was calculated based on the last evaluation before surgery. Probabilities of tumor recurrence and overall survival (OS) were compared according to an AFP model. Results: A total of 825 patients were included. An optimal cut-off AFP score of 2 was identified with an AFP score ≥3 versus ≤2 independently predicting tumor recurrence and OS. Net reclassification improvements indicated the AFP model was superior to the Barcelona Clinic Liver Cancer (BCLC) system to predict recurrence (p < 0.001). Among patients with BCLC B-C, AFP score ≤2 identified a subgroup of patients with AFP levels of ≤100 ng/mL with a low 5-year recurrence risk (≤2 45.2% vs. ≥3 61.8%, p = 0.046) and favorable 5-year OS (≤2 54.5% vs. ≥3 39.4%, p = 0.035). In contrast, among patients within BCLC 0-A, AFP score ≥3 identified a subgroup of patients with AFP values > 1000 ng/mL with a high 5-year recurrence (≥3 47.9% vs. ≤2% 38.4%, p = 0.046) and worse 5-year OS (≥3 47.8% vs. ≤2 65.9%, p < 0.001). In addition, the AFP score independently correlated with vascular invasion, tumor differentiation and capsule invasion. Conclusions: The AFP model was more accurate than the BCLC system to identify which HCC patients may benefit the most from surgical resection. |
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Prediction of Tumor Recurrence by α-Fetoprotein Model after Curative Resection for Hepatocellular CarcinomaHCC CIRAgedFemaleMaleHumansCarcinoma, Hepatocellular / metabolismMiddle AgedCarcinoma, Hepatocellular / mortalityCarcinoma, Hepatocellular / pathologyCarcinoma, Hepatocellular / surgery*Liver Neoplasms / metabolismLiver Neoplasms / mortalityLiver Neoplasms / pathologyLiver Neoplasms / surgery*Neoplasm InvasivenessNeoplasm Recurrence, Local*Neoplasm StagingPrognosisSurvival Ratealpha-Fetoproteins / metabolism*Background: Preoperative α-fetoprotein (AFP) level levels may help select patients with hepatocellular carcinoma (HCC) for surgery. The objective of the current study was to assess an AFP model to predict tumor recurrence and patient survival after curative resection for HCC. Methods: Patients undergoing curative-intent resection for HCC between 2000 and 2017 were identified from a multi-institutional database. AFP score was calculated based on the last evaluation before surgery. Probabilities of tumor recurrence and overall survival (OS) were compared according to an AFP model. Results: A total of 825 patients were included. An optimal cut-off AFP score of 2 was identified with an AFP score ≥3 versus ≤2 independently predicting tumor recurrence and OS. Net reclassification improvements indicated the AFP model was superior to the Barcelona Clinic Liver Cancer (BCLC) system to predict recurrence (p < 0.001). Among patients with BCLC B-C, AFP score ≤2 identified a subgroup of patients with AFP levels of ≤100 ng/mL with a low 5-year recurrence risk (≤2 45.2% vs. ≥3 61.8%, p = 0.046) and favorable 5-year OS (≤2 54.5% vs. ≥3 39.4%, p = 0.035). In contrast, among patients within BCLC 0-A, AFP score ≥3 identified a subgroup of patients with AFP values > 1000 ng/mL with a high 5-year recurrence (≥3 47.9% vs. ≤2% 38.4%, p = 0.046) and worse 5-year OS (≥3 47.8% vs. ≤2 65.9%, p < 0.001). In addition, the AFP score independently correlated with vascular invasion, tumor differentiation and capsule invasion. Conclusions: The AFP model was more accurate than the BCLC system to identify which HCC patients may benefit the most from surgical resection.ElsevierRepositório do Centro Hospitalar Universitário de Lisboa Central, EPEDing, HFZhang, XFBagante, FRatti, FPinto Marques, HSoubrane, OLam, VPoultsides, GPopescu, IAlexandrescu, SMartel, GWorkneh, AGuglielmi, AHugh, TAldrighetti, LLv, YPawlik, T2022-12-07T16:06:24Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.17/4308engEur J Surg Oncol. 2021 Mar;47(3 Pt B):660-66610.1016/j.ejso.2020.10.017info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-10T09:46:11Zoai:repositorio.chlc.min-saude.pt:10400.17/4308Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:21:38.138303Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Prediction of Tumor Recurrence by α-Fetoprotein Model after Curative Resection for Hepatocellular Carcinoma |
title |
Prediction of Tumor Recurrence by α-Fetoprotein Model after Curative Resection for Hepatocellular Carcinoma |
spellingShingle |
Prediction of Tumor Recurrence by α-Fetoprotein Model after Curative Resection for Hepatocellular Carcinoma Ding, HF HCC CIR Aged Female Male Humans Carcinoma, Hepatocellular / metabolism Middle Aged Carcinoma, Hepatocellular / mortality Carcinoma, Hepatocellular / pathology Carcinoma, Hepatocellular / surgery* Liver Neoplasms / metabolism Liver Neoplasms / mortality Liver Neoplasms / pathology Liver Neoplasms / surgery* Neoplasm Invasiveness Neoplasm Recurrence, Local* Neoplasm Staging Prognosis Survival Rate alpha-Fetoproteins / metabolism* |
title_short |
Prediction of Tumor Recurrence by α-Fetoprotein Model after Curative Resection for Hepatocellular Carcinoma |
title_full |
Prediction of Tumor Recurrence by α-Fetoprotein Model after Curative Resection for Hepatocellular Carcinoma |
title_fullStr |
Prediction of Tumor Recurrence by α-Fetoprotein Model after Curative Resection for Hepatocellular Carcinoma |
title_full_unstemmed |
Prediction of Tumor Recurrence by α-Fetoprotein Model after Curative Resection for Hepatocellular Carcinoma |
title_sort |
Prediction of Tumor Recurrence by α-Fetoprotein Model after Curative Resection for Hepatocellular Carcinoma |
author |
Ding, HF |
author_facet |
Ding, HF Zhang, XF Bagante, F Ratti, F Pinto Marques, H Soubrane, O Lam, V Poultsides, G Popescu, I Alexandrescu, S Martel, G Workneh, A Guglielmi, A Hugh, T Aldrighetti, L Lv, Y Pawlik, T |
author_role |
author |
author2 |
Zhang, XF Bagante, F Ratti, F Pinto Marques, H Soubrane, O Lam, V Poultsides, G Popescu, I Alexandrescu, S Martel, G Workneh, A Guglielmi, A Hugh, T Aldrighetti, L Lv, Y Pawlik, T |
author2_role |
author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório do Centro Hospitalar Universitário de Lisboa Central, EPE |
dc.contributor.author.fl_str_mv |
Ding, HF Zhang, XF Bagante, F Ratti, F Pinto Marques, H Soubrane, O Lam, V Poultsides, G Popescu, I Alexandrescu, S Martel, G Workneh, A Guglielmi, A Hugh, T Aldrighetti, L Lv, Y Pawlik, T |
dc.subject.por.fl_str_mv |
HCC CIR Aged Female Male Humans Carcinoma, Hepatocellular / metabolism Middle Aged Carcinoma, Hepatocellular / mortality Carcinoma, Hepatocellular / pathology Carcinoma, Hepatocellular / surgery* Liver Neoplasms / metabolism Liver Neoplasms / mortality Liver Neoplasms / pathology Liver Neoplasms / surgery* Neoplasm Invasiveness Neoplasm Recurrence, Local* Neoplasm Staging Prognosis Survival Rate alpha-Fetoproteins / metabolism* |
topic |
HCC CIR Aged Female Male Humans Carcinoma, Hepatocellular / metabolism Middle Aged Carcinoma, Hepatocellular / mortality Carcinoma, Hepatocellular / pathology Carcinoma, Hepatocellular / surgery* Liver Neoplasms / metabolism Liver Neoplasms / mortality Liver Neoplasms / pathology Liver Neoplasms / surgery* Neoplasm Invasiveness Neoplasm Recurrence, Local* Neoplasm Staging Prognosis Survival Rate alpha-Fetoproteins / metabolism* |
description |
Background: Preoperative α-fetoprotein (AFP) level levels may help select patients with hepatocellular carcinoma (HCC) for surgery. The objective of the current study was to assess an AFP model to predict tumor recurrence and patient survival after curative resection for HCC. Methods: Patients undergoing curative-intent resection for HCC between 2000 and 2017 were identified from a multi-institutional database. AFP score was calculated based on the last evaluation before surgery. Probabilities of tumor recurrence and overall survival (OS) were compared according to an AFP model. Results: A total of 825 patients were included. An optimal cut-off AFP score of 2 was identified with an AFP score ≥3 versus ≤2 independently predicting tumor recurrence and OS. Net reclassification improvements indicated the AFP model was superior to the Barcelona Clinic Liver Cancer (BCLC) system to predict recurrence (p < 0.001). Among patients with BCLC B-C, AFP score ≤2 identified a subgroup of patients with AFP levels of ≤100 ng/mL with a low 5-year recurrence risk (≤2 45.2% vs. ≥3 61.8%, p = 0.046) and favorable 5-year OS (≤2 54.5% vs. ≥3 39.4%, p = 0.035). In contrast, among patients within BCLC 0-A, AFP score ≥3 identified a subgroup of patients with AFP values > 1000 ng/mL with a high 5-year recurrence (≥3 47.9% vs. ≤2% 38.4%, p = 0.046) and worse 5-year OS (≥3 47.8% vs. ≤2 65.9%, p < 0.001). In addition, the AFP score independently correlated with vascular invasion, tumor differentiation and capsule invasion. Conclusions: The AFP model was more accurate than the BCLC system to identify which HCC patients may benefit the most from surgical resection. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2021-01-01T00:00:00Z 2022-12-07T16:06:24Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.17/4308 |
url |
http://hdl.handle.net/10400.17/4308 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Eur J Surg Oncol. 2021 Mar;47(3 Pt B):660-666 10.1016/j.ejso.2020.10.017 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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