Prediction of Tumor Recurrence by α-Fetoprotein Model after Curative Resection for Hepatocellular Carcinoma

Detalhes bibliográficos
Autor(a) principal: Ding, HF
Data de Publicação: 2021
Outros Autores: 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
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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spelling 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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection 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
repository.mail.fl_str_mv
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