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Nomogram for Individualized Prediction of Hepatocellular Carcinoma with Portal Vein Tumor Thrombosis on Conservative Treatment

BACKGROUND: Portal vein tumor thrombosis (PVTT) is one of the major predictive factors for patients with hepatocellular carcinoma (HCC). The objective of this study was to establish a prognostic nomogram for identifying individual survival outcomes in patients with HCC and PVTT on conservative treat...

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Autores principales: Liu, Yao, Xue, Dongying, Zhang, Xiaogang, Gao, Fangyuan, Sun, Le, Yang, Xue, Li, Yuxin, Zhang, Qun, Zhu, Bingbing, Niu, Shuaishuai, Huang, Yunyi, Hu, Ying, Wang, Xianbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7049328/
https://www.ncbi.nlm.nih.gov/pubmed/32149077
http://dx.doi.org/10.1155/2020/1473718
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author Liu, Yao
Xue, Dongying
Zhang, Xiaogang
Gao, Fangyuan
Sun, Le
Yang, Xue
Li, Yuxin
Zhang, Qun
Zhu, Bingbing
Niu, Shuaishuai
Huang, Yunyi
Hu, Ying
Wang, Xianbo
author_facet Liu, Yao
Xue, Dongying
Zhang, Xiaogang
Gao, Fangyuan
Sun, Le
Yang, Xue
Li, Yuxin
Zhang, Qun
Zhu, Bingbing
Niu, Shuaishuai
Huang, Yunyi
Hu, Ying
Wang, Xianbo
author_sort Liu, Yao
collection PubMed
description BACKGROUND: Portal vein tumor thrombosis (PVTT) is one of the major predictive factors for patients with hepatocellular carcinoma (HCC). The objective of this study was to establish a prognostic nomogram for identifying individual survival outcomes in patients with HCC and PVTT on conservative treatment based on specific factors. METHODS: Two hundred and ten patients with HCC and PVTT on conservative treatment in Beijing Ditan Hospital between June 2008 and May 2017 were studied retrospectively as a derivation cohort. We built a nomogram based on independent risk factors for survival prediction. The concordance index (c-index) and a calibration curve were used to evaluate the predictive accuracy. During the study, 102 patients were included at the Putuo Hospital and Third People's Hospital of Changzhou as a validation cohort. RESULTS: In the derivation cohort, the independent factors for overall survival were identified by multivariate analysis, namely, aspartate aminotransferase ≥119 IU/L, gamma-glutamyl transferase ≥115 IU/L, Child–Pugh class C liver function, creatinine ≥91 μmoI/L, α-fetoprotein ≥400 ng/ml, and largest tumor diameter ≥5 cm. The nomogram had a c-index of 0.737 (95% confidence interval, 0.692–0.782) and the calibration curves fitted well. The median survival time was 4.2 months in the derivation cohort, with an MST of 5 months for BCLC C stage and 1.8 months for BCLC D stage patients. Kaplan–Meier analysis showed significant statistical differences in the 6-month overall survival rates of the primary and validation cohorts after the total scores were divided into three quartiles (low risk: 0–85; intermediate risk: 86–210; high risk: ≥211; p < 0.0001 in both cohorts). CONCLUSIONS: The nomogram can be a more accurate and individualized prediction for 6-month overall survival of patients with HCC and PVTT on conservative treatment, and it is possible to consider further active interventions for patients in the low-risk group (0–85 scores) to achieve the aim of prolonging survival.
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spelling pubmed-70493282020-03-08 Nomogram for Individualized Prediction of Hepatocellular Carcinoma with Portal Vein Tumor Thrombosis on Conservative Treatment Liu, Yao Xue, Dongying Zhang, Xiaogang Gao, Fangyuan Sun, Le Yang, Xue Li, Yuxin Zhang, Qun Zhu, Bingbing Niu, Shuaishuai Huang, Yunyi Hu, Ying Wang, Xianbo Biomed Res Int Research Article BACKGROUND: Portal vein tumor thrombosis (PVTT) is one of the major predictive factors for patients with hepatocellular carcinoma (HCC). The objective of this study was to establish a prognostic nomogram for identifying individual survival outcomes in patients with HCC and PVTT on conservative treatment based on specific factors. METHODS: Two hundred and ten patients with HCC and PVTT on conservative treatment in Beijing Ditan Hospital between June 2008 and May 2017 were studied retrospectively as a derivation cohort. We built a nomogram based on independent risk factors for survival prediction. The concordance index (c-index) and a calibration curve were used to evaluate the predictive accuracy. During the study, 102 patients were included at the Putuo Hospital and Third People's Hospital of Changzhou as a validation cohort. RESULTS: In the derivation cohort, the independent factors for overall survival were identified by multivariate analysis, namely, aspartate aminotransferase ≥119 IU/L, gamma-glutamyl transferase ≥115 IU/L, Child–Pugh class C liver function, creatinine ≥91 μmoI/L, α-fetoprotein ≥400 ng/ml, and largest tumor diameter ≥5 cm. The nomogram had a c-index of 0.737 (95% confidence interval, 0.692–0.782) and the calibration curves fitted well. The median survival time was 4.2 months in the derivation cohort, with an MST of 5 months for BCLC C stage and 1.8 months for BCLC D stage patients. Kaplan–Meier analysis showed significant statistical differences in the 6-month overall survival rates of the primary and validation cohorts after the total scores were divided into three quartiles (low risk: 0–85; intermediate risk: 86–210; high risk: ≥211; p < 0.0001 in both cohorts). CONCLUSIONS: The nomogram can be a more accurate and individualized prediction for 6-month overall survival of patients with HCC and PVTT on conservative treatment, and it is possible to consider further active interventions for patients in the low-risk group (0–85 scores) to achieve the aim of prolonging survival. Hindawi 2020-02-17 /pmc/articles/PMC7049328/ /pubmed/32149077 http://dx.doi.org/10.1155/2020/1473718 Text en Copyright © 2020 Yao Liu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liu, Yao
Xue, Dongying
Zhang, Xiaogang
Gao, Fangyuan
Sun, Le
Yang, Xue
Li, Yuxin
Zhang, Qun
Zhu, Bingbing
Niu, Shuaishuai
Huang, Yunyi
Hu, Ying
Wang, Xianbo
Nomogram for Individualized Prediction of Hepatocellular Carcinoma with Portal Vein Tumor Thrombosis on Conservative Treatment
title Nomogram for Individualized Prediction of Hepatocellular Carcinoma with Portal Vein Tumor Thrombosis on Conservative Treatment
title_full Nomogram for Individualized Prediction of Hepatocellular Carcinoma with Portal Vein Tumor Thrombosis on Conservative Treatment
title_fullStr Nomogram for Individualized Prediction of Hepatocellular Carcinoma with Portal Vein Tumor Thrombosis on Conservative Treatment
title_full_unstemmed Nomogram for Individualized Prediction of Hepatocellular Carcinoma with Portal Vein Tumor Thrombosis on Conservative Treatment
title_short Nomogram for Individualized Prediction of Hepatocellular Carcinoma with Portal Vein Tumor Thrombosis on Conservative Treatment
title_sort nomogram for individualized prediction of hepatocellular carcinoma with portal vein tumor thrombosis on conservative treatment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7049328/
https://www.ncbi.nlm.nih.gov/pubmed/32149077
http://dx.doi.org/10.1155/2020/1473718
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