Cargando…

Prognostic Factors of Survival of Advanced Liver Cancer Patients Treated With Palliative Radiotherapy: A Retrospective Study

AIMS: Survival benefit of liver cancer patients who undergo palliative radiotherapy varies from person to person. The present study aims to identify indicators of survival of advanced liver cancer patients receiving palliative radiotherapy. PATIENTS AND METHODS: One hundred and fifty-nine patients t...

Descripción completa

Detalles Bibliográficos
Autores principales: Hua, Qingling, Zhang, Dejun, Li, Yunqiao, Hu, Yue, Liu, Pian, Xiao, Guangqin, Zhang, Tao, Xue, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355619/
https://www.ncbi.nlm.nih.gov/pubmed/34395242
http://dx.doi.org/10.3389/fonc.2021.658152
_version_ 1783736799342886912
author Hua, Qingling
Zhang, Dejun
Li, Yunqiao
Hu, Yue
Liu, Pian
Xiao, Guangqin
Zhang, Tao
Xue, Jun
author_facet Hua, Qingling
Zhang, Dejun
Li, Yunqiao
Hu, Yue
Liu, Pian
Xiao, Guangqin
Zhang, Tao
Xue, Jun
author_sort Hua, Qingling
collection PubMed
description AIMS: Survival benefit of liver cancer patients who undergo palliative radiotherapy varies from person to person. The present study aims to identify indicators of survival of advanced liver cancer patients receiving palliative radiotherapy. PATIENTS AND METHODS: One hundred and fifty-nine patients treated with palliative radiotherapy for advanced liver cancer were retrospectively assessed. Of the 159 patients, 103 patients were included for prediction model construction in training phase, while other 56 patients were analyzed for external validation in validation phase. In model training phase, clinical characteristics of included patients were evaluated by Kaplan-Meier curves and log-rank test. Thereafter, multivariable Cox analysis was taken to further identify characteristics with potential for prediction. In validation phase, a separate dataset including 56 patients was used for external validation. Harrell’s C-index and calibration curve were used for model evaluation. Nomograms were plotted based on the model of multivariable Cox analysis. RESULTS: Thirty-one characteristics of patients were investigated in model training phase. Based on the results of Kaplan-Meier plots and log-rank tests, 6 factors were considered statistically significant. On multivariable Cox regression analysis, bone metastasis (HR = 1.781, P = 0.026), portal vein tumor thrombus (HR = 2.078, P = 0.015), alpha-fetoprotein (HR = 2.098, P = 0.007), and radiation dose (HR = 0.535, P = 0.023) show significant potential to predict the survival of advanced liver cancer patients treated with palliative radiotherapy. Moreover, nomograms predicting median overall survival, 1- and 2-year survival probability were plotted. The Harrell’s C-index of the predictive model is 0.709(95%CI, 0.649-0.769) and 0.735 (95%CI, 0.666-0.804) for training model and validation model respectively. Calibration curves of the 1- and 2-year overall survival of the predictive model indicate that the predicted probabilities of OS are very close to the actual observed outcomes both in training and validation phase. CONCLUSION: Bone metastasis, portal vein tumor thrombus, alpha-fetoprotein and radiation dose are independent prognostic factors for the survival of advanced liver cancer patients treated with palliative radiotherapy.
format Online
Article
Text
id pubmed-8355619
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-83556192021-08-12 Prognostic Factors of Survival of Advanced Liver Cancer Patients Treated With Palliative Radiotherapy: A Retrospective Study Hua, Qingling Zhang, Dejun Li, Yunqiao Hu, Yue Liu, Pian Xiao, Guangqin Zhang, Tao Xue, Jun Front Oncol Oncology AIMS: Survival benefit of liver cancer patients who undergo palliative radiotherapy varies from person to person. The present study aims to identify indicators of survival of advanced liver cancer patients receiving palliative radiotherapy. PATIENTS AND METHODS: One hundred and fifty-nine patients treated with palliative radiotherapy for advanced liver cancer were retrospectively assessed. Of the 159 patients, 103 patients were included for prediction model construction in training phase, while other 56 patients were analyzed for external validation in validation phase. In model training phase, clinical characteristics of included patients were evaluated by Kaplan-Meier curves and log-rank test. Thereafter, multivariable Cox analysis was taken to further identify characteristics with potential for prediction. In validation phase, a separate dataset including 56 patients was used for external validation. Harrell’s C-index and calibration curve were used for model evaluation. Nomograms were plotted based on the model of multivariable Cox analysis. RESULTS: Thirty-one characteristics of patients were investigated in model training phase. Based on the results of Kaplan-Meier plots and log-rank tests, 6 factors were considered statistically significant. On multivariable Cox regression analysis, bone metastasis (HR = 1.781, P = 0.026), portal vein tumor thrombus (HR = 2.078, P = 0.015), alpha-fetoprotein (HR = 2.098, P = 0.007), and radiation dose (HR = 0.535, P = 0.023) show significant potential to predict the survival of advanced liver cancer patients treated with palliative radiotherapy. Moreover, nomograms predicting median overall survival, 1- and 2-year survival probability were plotted. The Harrell’s C-index of the predictive model is 0.709(95%CI, 0.649-0.769) and 0.735 (95%CI, 0.666-0.804) for training model and validation model respectively. Calibration curves of the 1- and 2-year overall survival of the predictive model indicate that the predicted probabilities of OS are very close to the actual observed outcomes both in training and validation phase. CONCLUSION: Bone metastasis, portal vein tumor thrombus, alpha-fetoprotein and radiation dose are independent prognostic factors for the survival of advanced liver cancer patients treated with palliative radiotherapy. Frontiers Media S.A. 2021-07-28 /pmc/articles/PMC8355619/ /pubmed/34395242 http://dx.doi.org/10.3389/fonc.2021.658152 Text en Copyright © 2021 Hua, Zhang, Li, Hu, Liu, Xiao, Zhang and Xue https://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
Hua, Qingling
Zhang, Dejun
Li, Yunqiao
Hu, Yue
Liu, Pian
Xiao, Guangqin
Zhang, Tao
Xue, Jun
Prognostic Factors of Survival of Advanced Liver Cancer Patients Treated With Palliative Radiotherapy: A Retrospective Study
title Prognostic Factors of Survival of Advanced Liver Cancer Patients Treated With Palliative Radiotherapy: A Retrospective Study
title_full Prognostic Factors of Survival of Advanced Liver Cancer Patients Treated With Palliative Radiotherapy: A Retrospective Study
title_fullStr Prognostic Factors of Survival of Advanced Liver Cancer Patients Treated With Palliative Radiotherapy: A Retrospective Study
title_full_unstemmed Prognostic Factors of Survival of Advanced Liver Cancer Patients Treated With Palliative Radiotherapy: A Retrospective Study
title_short Prognostic Factors of Survival of Advanced Liver Cancer Patients Treated With Palliative Radiotherapy: A Retrospective Study
title_sort prognostic factors of survival of advanced liver cancer patients treated with palliative radiotherapy: a retrospective study
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355619/
https://www.ncbi.nlm.nih.gov/pubmed/34395242
http://dx.doi.org/10.3389/fonc.2021.658152
work_keys_str_mv AT huaqingling prognosticfactorsofsurvivalofadvancedlivercancerpatientstreatedwithpalliativeradiotherapyaretrospectivestudy
AT zhangdejun prognosticfactorsofsurvivalofadvancedlivercancerpatientstreatedwithpalliativeradiotherapyaretrospectivestudy
AT liyunqiao prognosticfactorsofsurvivalofadvancedlivercancerpatientstreatedwithpalliativeradiotherapyaretrospectivestudy
AT huyue prognosticfactorsofsurvivalofadvancedlivercancerpatientstreatedwithpalliativeradiotherapyaretrospectivestudy
AT liupian prognosticfactorsofsurvivalofadvancedlivercancerpatientstreatedwithpalliativeradiotherapyaretrospectivestudy
AT xiaoguangqin prognosticfactorsofsurvivalofadvancedlivercancerpatientstreatedwithpalliativeradiotherapyaretrospectivestudy
AT zhangtao prognosticfactorsofsurvivalofadvancedlivercancerpatientstreatedwithpalliativeradiotherapyaretrospectivestudy
AT xuejun prognosticfactorsofsurvivalofadvancedlivercancerpatientstreatedwithpalliativeradiotherapyaretrospectivestudy