Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, Netherlands.
Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Pract Radiat Oncol. 2020 Jan-Feb;10(1):e16-e26. doi: 10.1016/j.prro.2019.07.010. Epub 2019 Jul 29.
In patients with esophageal cancer, occurrence of severe radiation-induced lymphopenia during chemoradiation therapy has been associated with worse progression-free and overall survival. The aim of this study was to develop and validate a pretreatment clinical nomogram for the prediction of grade 4 lymphopenia.
A development set of consecutive patients who underwent chemoradiation therapy for esophageal cancer and an independent validation set of patients from another institution were identified. Grade 4 lymphopenia was defined as an absolute lymphocyte count nadir during chemoradiation therapy of <0.2 × 10/μL. Multivariable logistic regression analysis was used to create a prediction model for grade 4 lymphopenia in the development set, which was internally validated using bootstrapping and externally validated by applying the model to the validation set. The model was presented as a nomogram yielding 4 risk groups.
Among 860 included patients, 322 (37%) experienced grade 4 lymphopenia. Higher age, larger planning target volume in interaction with lower body mass index, photon- rather than proton-based therapy, and lower baseline absolute lymphocyte count were predictive in the final model (corrected c-statistic, 0.76). External validation in 144 patients, among whom 58 (40%) had grade 4 lymphopenia, yielded a c-statistic of 0.71. Four nomogram-based risk groups yielded predicted risk rates of 10%, 24%, 43%, and 70%, respectively.
A pretreatment clinical nomogram was developed and validated for the prediction of grade 4 radiation-induced lymphopenia during chemoradiation therapy for esophageal cancer. The nomogram can risk stratify individual patients suitable for lymphopenia-mitigating strategies or potential future therapeutic approaches to ultimately improve survival.
在接受放化疗的食管癌患者中,放化疗期间发生严重的放射性淋巴细胞减少与无进展生存期和总生存期更差相关。本研究旨在开发和验证一种预测 4 级淋巴细胞减少的预处理临床列线图。
确定了接受放化疗的食管癌连续患者的开发集和另一家机构的患者的独立验证集。4 级淋巴细胞减少定义为放化疗期间绝对淋巴细胞计数最低点<0.2×10/μL。多变量逻辑回归分析用于创建开发集中 4 级淋巴细胞减少的预测模型,该模型通过自举法进行内部验证,并通过将模型应用于验证集进行外部验证。该模型以生成 4 个风险组的列线图呈现。
在 860 例纳入患者中,322 例(37%)发生 4 级淋巴细胞减少。较高的年龄、较大的计划靶区与较低的体重指数、光子而不是质子治疗以及较低的基线绝对淋巴细胞计数是最终模型中的预测因素(校正 c 统计量,0.76)。在 144 例患者中的外部验证中,其中 58 例(40%)发生 4 级淋巴细胞减少,c 统计量为 0.71。4 个基于列线图的风险组分别预测出 10%、24%、43%和 70%的风险率。
为预测食管癌放化疗期间 4 级放射性淋巴细胞减少,开发并验证了一种预处理临床列线图。该列线图可以对个体患者进行风险分层,适合采用减轻淋巴细胞减少的策略或潜在的未来治疗方法,最终提高生存率。