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Pre- and Postoperative Models for Prediction of Recurrence in Non-B, Non-C Hepatocellular Carcinoma

BACKGROUND AND AIMS: The incidence of non-B, non-C hepatocellular carcinoma (NBNC-HCC) is increasing. Like in hepatitis B virus (HBC)/HCV-associated HCC, treatment of NBNC-HCC after resection is challenging due to its high recurrence rate. However, few studies on the recurrence of NBNC-HCC have been...

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Autores principales: Lin, Kongying, Huang, Qizhen, Wang, Lei, Zeng, Jianxing, Ding, Zongren, Liu, Hongzhi, Fu, Jun, Guo, Pengfei, Chen, Zhenwei, Zeng, Yongyi, Zhou, Weiping, Liu, Jingfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7930483/
https://www.ncbi.nlm.nih.gov/pubmed/33680963
http://dx.doi.org/10.3389/fonc.2021.612588
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author Lin, Kongying
Huang, Qizhen
Wang, Lei
Zeng, Jianxing
Ding, Zongren
Liu, Hongzhi
Fu, Jun
Guo, Pengfei
Chen, Zhenwei
Zeng, Yongyi
Zhou, Weiping
Liu, Jingfeng
author_facet Lin, Kongying
Huang, Qizhen
Wang, Lei
Zeng, Jianxing
Ding, Zongren
Liu, Hongzhi
Fu, Jun
Guo, Pengfei
Chen, Zhenwei
Zeng, Yongyi
Zhou, Weiping
Liu, Jingfeng
author_sort Lin, Kongying
collection PubMed
description BACKGROUND AND AIMS: The incidence of non-B, non-C hepatocellular carcinoma (NBNC-HCC) is increasing. Like in hepatitis B virus (HBC)/HCV-associated HCC, treatment of NBNC-HCC after resection is challenging due to its high recurrence rate. However, few studies on the recurrence of NBNC-HCC have been published in the past decades. Hence, we aimed to investigate the risk factors for recurrence of NBNC-HCC and construct pre- and postoperative prognostic models for predicting recurrence in these patients who underwent curative resection. METHODS: We retrospectively analyzed 608 patients who underwent liver resection for NBNC-HCC. A multivariate Cox proportional hazard regression analysis was conducted to identify the independent risk factors of recurrence, based on which the prediction nomogram models were constructed and validated. The predictive performance of the models was assessed using the concordance index, time-dependent receiver operating characteristic curve, prediction error cure, and calibration curve. To facilitate clinical use, we stratified the patients into three distinct risk groups based on the score of the models. The cutoff scores of the models were determined by a survival tree analysis. RESULTS: Multivariable analysis identified neutrophil-to-lymphocyte ratio, alpha fetoprotein, tumor number, and tumor diameter as independent preoperative risk factors for recurrence. In addition to these variables, microvascular invasion was an independent postoperative risk factor for recurrence. The pre- and postoperative nomograms were constructed based on these variables. The C-index of the pre- and postoperative nomograms was 0.689 and 0.702 in the training cohort, 0.682 and 0.688 in the validation cohort, respectively, which were both higher than those of the conventional Barcelona Clinic Liver Cancer (BCLC) and 8(th) edition of the American Joint Committee on Cancer (AJCC(8th)) staging systems. In addition, the pre- and postoperative nomograms could also re-stratify patients with BCLC stage 0/A or AJCC(8th) stage IA/IB/II into distinct risk groups. CONCLUSIONS: We constructed pre- and postoperative prognostic models for predicting recurrence in patients with NBNC-HCC who underwent curative resection. They can play a supplementary role to the traditional staging system.
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spelling pubmed-79304832021-03-05 Pre- and Postoperative Models for Prediction of Recurrence in Non-B, Non-C Hepatocellular Carcinoma Lin, Kongying Huang, Qizhen Wang, Lei Zeng, Jianxing Ding, Zongren Liu, Hongzhi Fu, Jun Guo, Pengfei Chen, Zhenwei Zeng, Yongyi Zhou, Weiping Liu, Jingfeng Front Oncol Oncology BACKGROUND AND AIMS: The incidence of non-B, non-C hepatocellular carcinoma (NBNC-HCC) is increasing. Like in hepatitis B virus (HBC)/HCV-associated HCC, treatment of NBNC-HCC after resection is challenging due to its high recurrence rate. However, few studies on the recurrence of NBNC-HCC have been published in the past decades. Hence, we aimed to investigate the risk factors for recurrence of NBNC-HCC and construct pre- and postoperative prognostic models for predicting recurrence in these patients who underwent curative resection. METHODS: We retrospectively analyzed 608 patients who underwent liver resection for NBNC-HCC. A multivariate Cox proportional hazard regression analysis was conducted to identify the independent risk factors of recurrence, based on which the prediction nomogram models were constructed and validated. The predictive performance of the models was assessed using the concordance index, time-dependent receiver operating characteristic curve, prediction error cure, and calibration curve. To facilitate clinical use, we stratified the patients into three distinct risk groups based on the score of the models. The cutoff scores of the models were determined by a survival tree analysis. RESULTS: Multivariable analysis identified neutrophil-to-lymphocyte ratio, alpha fetoprotein, tumor number, and tumor diameter as independent preoperative risk factors for recurrence. In addition to these variables, microvascular invasion was an independent postoperative risk factor for recurrence. The pre- and postoperative nomograms were constructed based on these variables. The C-index of the pre- and postoperative nomograms was 0.689 and 0.702 in the training cohort, 0.682 and 0.688 in the validation cohort, respectively, which were both higher than those of the conventional Barcelona Clinic Liver Cancer (BCLC) and 8(th) edition of the American Joint Committee on Cancer (AJCC(8th)) staging systems. In addition, the pre- and postoperative nomograms could also re-stratify patients with BCLC stage 0/A or AJCC(8th) stage IA/IB/II into distinct risk groups. CONCLUSIONS: We constructed pre- and postoperative prognostic models for predicting recurrence in patients with NBNC-HCC who underwent curative resection. They can play a supplementary role to the traditional staging system. Frontiers Media S.A. 2021-02-18 /pmc/articles/PMC7930483/ /pubmed/33680963 http://dx.doi.org/10.3389/fonc.2021.612588 Text en Copyright © 2021 Lin, Huang, Wang, Zeng, Ding, Liu, Fu, Guo, Chen, Zeng, Zhou and Liu http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Lin, Kongying
Huang, Qizhen
Wang, Lei
Zeng, Jianxing
Ding, Zongren
Liu, Hongzhi
Fu, Jun
Guo, Pengfei
Chen, Zhenwei
Zeng, Yongyi
Zhou, Weiping
Liu, Jingfeng
Pre- and Postoperative Models for Prediction of Recurrence in Non-B, Non-C Hepatocellular Carcinoma
title Pre- and Postoperative Models for Prediction of Recurrence in Non-B, Non-C Hepatocellular Carcinoma
title_full Pre- and Postoperative Models for Prediction of Recurrence in Non-B, Non-C Hepatocellular Carcinoma
title_fullStr Pre- and Postoperative Models for Prediction of Recurrence in Non-B, Non-C Hepatocellular Carcinoma
title_full_unstemmed Pre- and Postoperative Models for Prediction of Recurrence in Non-B, Non-C Hepatocellular Carcinoma
title_short Pre- and Postoperative Models for Prediction of Recurrence in Non-B, Non-C Hepatocellular Carcinoma
title_sort pre- and postoperative models for prediction of recurrence in non-b, non-c hepatocellular carcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7930483/
https://www.ncbi.nlm.nih.gov/pubmed/33680963
http://dx.doi.org/10.3389/fonc.2021.612588
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