Prognostic Factors of Survival of Advanced Liver Cancer Patients Treated With Palliative Radiotherapy: A Retrospective Study.
Prognostic Factors of Survival of Advanced Liver Cancer Patients Treated With Palliative Radiotherapy: A Retrospective Study.
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姑息性放射治疗晚期肝癌患者生存的预后因素：一项回顾性研究
DOI：
10.3389/fonc.2021.658152
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发表时间：
2021
影响因子：
4.7
通讯作者：
Xue J
中科院分区：
文献类型：
--
作者：
Hua Q;Zhang D;Li Y;Hu Y;Liu P;Xiao G;Zhang T;Xue J
接受姑息性放射治疗的肝癌患者的生存获益因人而异。本研究旨在确定接受姑息性放射治疗的晚期肝癌患者的生存指标。患者和方法 对 159 例接受姑息性放射治疗的晚期肝癌患者进行回顾性评估。在 159 名患者中，103 名患者在训练阶段被纳入预测模型构建，而其他 56 名患者在验证阶段进行外部验证分析。在模型训练阶段，通过Kaplan-Meier曲线和对数秩检验评估纳入患者的临床特征。此后，进行多变量 Cox 分析以进一步识别具有预测潜力的特征。在验证阶段，使用包含 56 名患者的单独数据集进行外部验证。 Harrell 的 C 指数和校准曲线用于模型评估。基于多变量 Cox 分析模型绘制列线图。结果模型训练阶段调查了31个患者特征。根据 Kaplan-Meier 图和对数秩检验的结果，6 个因素被认为具有统计显着性。在多变量Cox回归分析中，骨转移（HR = 1.781，P = 0.026）、门静脉癌栓（HR = 2.078，P = 0.015）、甲胎蛋白（HR = 2.098，P = 0.007）和放射剂量（HR = 0.535，P = 0.023）显示出预测晚期晚期患者生存的显着潜力。接受姑息性放射治疗的肝癌患者。此外，还绘制了预测中位总生存率、1 年和 2 年生存概率的列线图。预测模型的 Harrell’s C 指数训练模型和验证模型分别为 0.709（95%CI，0.649-0.769）和 0.735（95%CI，0.666-0.804）。预测模型的 1 年和 2 年总体生存率的校准曲线表明，OS 的预测概率与训练和验证阶段的实际观察结果非常接近。结论 骨转移、门静脉癌栓、甲胎蛋白和放射剂量是晚期肝癌姑息放疗患者生存的独立预后因素。
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.
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影响因子：
1.9
作者：
Habermehl, Daniel;Haase, Kristina;Combs, Stephanie E.
通讯作者：
Combs, Stephanie E.
高预处理静态和动态α-芬蛋白值可预测肝细胞癌的总生存率降低
影响因子：
6
作者：
Czauderna C;Schmidtmann I;Koch S;Pilz L;Heinrich S;Otto G;Mittler J;Lang H;Kloeckner R;Düber C;Sprinzl MF;Worns MA;Galle PR;Marquardt JU;Weinmann A
通讯作者：
Weinmann A
DOI：
10.1186/s13014-017-0818-8
发表时间：
2017-06-29
期刊：
Radiation oncology (London, England)
影响因子：
--
作者：
Mutsaers A;Greenspoon J;Walker-Dilks C;Swaminath A
通讯作者：
Swaminath A
DOI：
10.1186/s13014-017-0831-y
发表时间：
2017-05-31
期刊：
Radiation oncology (London, England)
影响因子：
--
作者：
Kong XQ;Dong YP;Wu JX;He JY;Le YY;Du KX;Peng QQ;Li JL
通讯作者：
Li JL
影响因子：
7.6
作者：
Cheung, T. -K.;Lai, C. -L.;Yuen, M. -F.
通讯作者：
Yuen, M. -F.