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Development of a preoperative prognostic scoring system to predict benefits of hepatic resection in advanced hepatocellular carcinoma patients

Objective: The present study aimed to identify risk factors for overall survival in advanced hepatocellular carcinoma (HCC) patients and establish a scoring system to select patients who would benefit from hepatic resection. Methods: Survival curves were analyzed using the Kaplan–Meier method and lo...

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Autores principales: Chen, Chang-Zhi, Zhong, Jian-Hong, Qi, Ya-Peng, Zhang, Jie, Huang, Tao, Ma, Liang, Li, Le-Qun, Peng, Tao, Xiang, Bang-De
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035620/
https://www.ncbi.nlm.nih.gov/pubmed/33835138
http://dx.doi.org/10.1042/BSR20201928
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author Chen, Chang-Zhi
Zhong, Jian-Hong
Qi, Ya-Peng
Zhang, Jie
Huang, Tao
Ma, Liang
Li, Le-Qun
Peng, Tao
Xiang, Bang-De
author_facet Chen, Chang-Zhi
Zhong, Jian-Hong
Qi, Ya-Peng
Zhang, Jie
Huang, Tao
Ma, Liang
Li, Le-Qun
Peng, Tao
Xiang, Bang-De
author_sort Chen, Chang-Zhi
collection PubMed
description Objective: The present study aimed to identify risk factors for overall survival in advanced hepatocellular carcinoma (HCC) patients and establish a scoring system to select patients who would benefit from hepatic resection. Methods: Survival curves were analyzed using the Kaplan–Meier method and log-rank test. The prognostic scoring system was developed from training cohort using a Cox-regression model and validated in a external validation cohort Results: There were 401 patients in the training cohort, 163 patients in the external validation cohorts. The training cohort median survival in all patients was 12 ± 1.07 months, rate of overall survival was 49.6% at 1 year, 25.0% at 3 years, and 18.0% at 5 years. A prognostic scoring system was established based on age, body mass index, alkaline phosphatase, tumor number and tumor capsule. Patients were classified as low- risk group(≤3.5) or high-risk group(>3.5). High-risk patients had a median survival of 9 months, compared with 23 months in low-risk patients. The area under the receiver operating characteristic curve (AUC) of the prognostic scoring system was 0.747 (0.694–0.801), which is significantly better than AFP, Child-Pugh and ALBI. The AUC of validation cohorts was 0.716 (0.63–0.803). Conclusion: A prognostic scoring system for hepatic resection in advanced HCC patients has been developed based entirely on preoperative variables. Patients classified as low risk using this system may experience better prognosis after hepatic resection.
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spelling pubmed-80356202021-04-19 Development of a preoperative prognostic scoring system to predict benefits of hepatic resection in advanced hepatocellular carcinoma patients Chen, Chang-Zhi Zhong, Jian-Hong Qi, Ya-Peng Zhang, Jie Huang, Tao Ma, Liang Li, Le-Qun Peng, Tao Xiang, Bang-De Biosci Rep Cancer Objective: The present study aimed to identify risk factors for overall survival in advanced hepatocellular carcinoma (HCC) patients and establish a scoring system to select patients who would benefit from hepatic resection. Methods: Survival curves were analyzed using the Kaplan–Meier method and log-rank test. The prognostic scoring system was developed from training cohort using a Cox-regression model and validated in a external validation cohort Results: There were 401 patients in the training cohort, 163 patients in the external validation cohorts. The training cohort median survival in all patients was 12 ± 1.07 months, rate of overall survival was 49.6% at 1 year, 25.0% at 3 years, and 18.0% at 5 years. A prognostic scoring system was established based on age, body mass index, alkaline phosphatase, tumor number and tumor capsule. Patients were classified as low- risk group(≤3.5) or high-risk group(>3.5). High-risk patients had a median survival of 9 months, compared with 23 months in low-risk patients. The area under the receiver operating characteristic curve (AUC) of the prognostic scoring system was 0.747 (0.694–0.801), which is significantly better than AFP, Child-Pugh and ALBI. The AUC of validation cohorts was 0.716 (0.63–0.803). Conclusion: A prognostic scoring system for hepatic resection in advanced HCC patients has been developed based entirely on preoperative variables. Patients classified as low risk using this system may experience better prognosis after hepatic resection. Portland Press Ltd. 2021-04-09 /pmc/articles/PMC8035620/ /pubmed/33835138 http://dx.doi.org/10.1042/BSR20201928 Text en © 2021 The Author(s). https://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Cancer
Chen, Chang-Zhi
Zhong, Jian-Hong
Qi, Ya-Peng
Zhang, Jie
Huang, Tao
Ma, Liang
Li, Le-Qun
Peng, Tao
Xiang, Bang-De
Development of a preoperative prognostic scoring system to predict benefits of hepatic resection in advanced hepatocellular carcinoma patients
title Development of a preoperative prognostic scoring system to predict benefits of hepatic resection in advanced hepatocellular carcinoma patients
title_full Development of a preoperative prognostic scoring system to predict benefits of hepatic resection in advanced hepatocellular carcinoma patients
title_fullStr Development of a preoperative prognostic scoring system to predict benefits of hepatic resection in advanced hepatocellular carcinoma patients
title_full_unstemmed Development of a preoperative prognostic scoring system to predict benefits of hepatic resection in advanced hepatocellular carcinoma patients
title_short Development of a preoperative prognostic scoring system to predict benefits of hepatic resection in advanced hepatocellular carcinoma patients
title_sort development of a preoperative prognostic scoring system to predict benefits of hepatic resection in advanced hepatocellular carcinoma patients
topic Cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035620/
https://www.ncbi.nlm.nih.gov/pubmed/33835138
http://dx.doi.org/10.1042/BSR20201928
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