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A Nomogram for Predicting the Benefit of Adjuvant Cytokine-Induced Killer Cell Immunotherapy in Patients with Hepatocellular Carcinoma
The benefits of adjuvant cytokine-induced killer (CIK) cell immunotherapy for hepatocellular carcinoma (HCC) remain mixed among patients. Here, we constructed a prognostic nomogram to enable individualized predictions of survival benefit of adjuvant CIK cell treatment for HCC patients. Survival anal...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4361845/ https://www.ncbi.nlm.nih.gov/pubmed/25776856 http://dx.doi.org/10.1038/srep09202 |
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author | Pan, Qiu-Zhong Wang, Qi-Jing Dan, Jia-Qiang Pan, Ke Li, Yong-Qiang Zhang, Yao-Jun Zhao, Jing-Jing Weng, De-Sheng Tang, Yan Huang, Li-Xi He, Jia Chen, Shi-Ping Ke, Miao-La Chen, Min-Shan Wicha, Max S. Chang, Alfred E. Zeng, Yi-Xin Li, Qiao Xia, Jian-Chuan |
author_facet | Pan, Qiu-Zhong Wang, Qi-Jing Dan, Jia-Qiang Pan, Ke Li, Yong-Qiang Zhang, Yao-Jun Zhao, Jing-Jing Weng, De-Sheng Tang, Yan Huang, Li-Xi He, Jia Chen, Shi-Ping Ke, Miao-La Chen, Min-Shan Wicha, Max S. Chang, Alfred E. Zeng, Yi-Xin Li, Qiao Xia, Jian-Chuan |
author_sort | Pan, Qiu-Zhong |
collection | PubMed |
description | The benefits of adjuvant cytokine-induced killer (CIK) cell immunotherapy for hepatocellular carcinoma (HCC) remain mixed among patients. Here, we constructed a prognostic nomogram to enable individualized predictions of survival benefit of adjuvant CIK cell treatment for HCC patients. Survival analysis showed that the median overall survival (OS) and progression-free survival (PFS) for patients in the hepatectomy/CIK combination group were 41 and 16 months, respectively, compared to 28 and 12 months for patients in the hepatectomy alone group (control). Based on multivariate analysis of the entire cohort, independent factors for OS were tumor size, tumor capsule, pathological grades, total bilirubin, albumin, prothrombin time, alpha-fetoprotein, and tumor number, which were incorporated into the nomogram. The survival prediction model performed well, as assessed by the c-index and calibration curve. Internal validation revealed a c-index of 0.698, which was significantly greater than the c-index value of the TNM (tumor–node–metastasis) staging systems of 0.634. The calibration curves fitted well. In conclusions, our developed nomogram resulted in more accurate individualized predictions of the survival benefit from adjuvant CIK cell treatment after hepatectomy. The model may provide valuable information to aid in the decision making regarding the application of adjuvant CIK cell immunotherapy. |
format | Online Article Text |
id | pubmed-4361845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-43618452015-03-19 A Nomogram for Predicting the Benefit of Adjuvant Cytokine-Induced Killer Cell Immunotherapy in Patients with Hepatocellular Carcinoma Pan, Qiu-Zhong Wang, Qi-Jing Dan, Jia-Qiang Pan, Ke Li, Yong-Qiang Zhang, Yao-Jun Zhao, Jing-Jing Weng, De-Sheng Tang, Yan Huang, Li-Xi He, Jia Chen, Shi-Ping Ke, Miao-La Chen, Min-Shan Wicha, Max S. Chang, Alfred E. Zeng, Yi-Xin Li, Qiao Xia, Jian-Chuan Sci Rep Article The benefits of adjuvant cytokine-induced killer (CIK) cell immunotherapy for hepatocellular carcinoma (HCC) remain mixed among patients. Here, we constructed a prognostic nomogram to enable individualized predictions of survival benefit of adjuvant CIK cell treatment for HCC patients. Survival analysis showed that the median overall survival (OS) and progression-free survival (PFS) for patients in the hepatectomy/CIK combination group were 41 and 16 months, respectively, compared to 28 and 12 months for patients in the hepatectomy alone group (control). Based on multivariate analysis of the entire cohort, independent factors for OS were tumor size, tumor capsule, pathological grades, total bilirubin, albumin, prothrombin time, alpha-fetoprotein, and tumor number, which were incorporated into the nomogram. The survival prediction model performed well, as assessed by the c-index and calibration curve. Internal validation revealed a c-index of 0.698, which was significantly greater than the c-index value of the TNM (tumor–node–metastasis) staging systems of 0.634. The calibration curves fitted well. In conclusions, our developed nomogram resulted in more accurate individualized predictions of the survival benefit from adjuvant CIK cell treatment after hepatectomy. The model may provide valuable information to aid in the decision making regarding the application of adjuvant CIK cell immunotherapy. Nature Publishing Group 2015-03-17 /pmc/articles/PMC4361845/ /pubmed/25776856 http://dx.doi.org/10.1038/srep09202 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Pan, Qiu-Zhong Wang, Qi-Jing Dan, Jia-Qiang Pan, Ke Li, Yong-Qiang Zhang, Yao-Jun Zhao, Jing-Jing Weng, De-Sheng Tang, Yan Huang, Li-Xi He, Jia Chen, Shi-Ping Ke, Miao-La Chen, Min-Shan Wicha, Max S. Chang, Alfred E. Zeng, Yi-Xin Li, Qiao Xia, Jian-Chuan A Nomogram for Predicting the Benefit of Adjuvant Cytokine-Induced Killer Cell Immunotherapy in Patients with Hepatocellular Carcinoma |
title | A Nomogram for Predicting the Benefit of Adjuvant Cytokine-Induced Killer Cell Immunotherapy in Patients with Hepatocellular Carcinoma |
title_full | A Nomogram for Predicting the Benefit of Adjuvant Cytokine-Induced Killer Cell Immunotherapy in Patients with Hepatocellular Carcinoma |
title_fullStr | A Nomogram for Predicting the Benefit of Adjuvant Cytokine-Induced Killer Cell Immunotherapy in Patients with Hepatocellular Carcinoma |
title_full_unstemmed | A Nomogram for Predicting the Benefit of Adjuvant Cytokine-Induced Killer Cell Immunotherapy in Patients with Hepatocellular Carcinoma |
title_short | A Nomogram for Predicting the Benefit of Adjuvant Cytokine-Induced Killer Cell Immunotherapy in Patients with Hepatocellular Carcinoma |
title_sort | nomogram for predicting the benefit of adjuvant cytokine-induced killer cell immunotherapy in patients with hepatocellular carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4361845/ https://www.ncbi.nlm.nih.gov/pubmed/25776856 http://dx.doi.org/10.1038/srep09202 |
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