中国患者抗cd3 × CD20双特异性抗体细胞因子释放综合征风险的预测因素和nomogram

Peng Sun, Cui Chen, Bai-Tian Zhao, Bo-Yan Zhang, Hang Yang, Yu Wang, Fei Xu, Kang-Ming Huang, Yin-Ting Liu, Mei-Shuo Ouyang, Jia-Jia Huang, Pan-Pan Liu, Ying Guo, Zhi-Ming Li
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引用次数: 0

摘要

背景:靶向CD3 × CD20双特异性抗体(BsAbs)是复发/复发大B细胞淋巴瘤和滤泡性淋巴瘤抢救治疗的一个新的里程碑。然而,细胞因子释放综合征(CRS)仍然是CD3 × CD20 bsab临床实践中的主要问题之一。本研究旨在确定潜在的预测因素,并构建中国患者CD3 × CD20 bsab≥2级CRS的nomogram。方法:从2021年1月至2023年12月,中山大学肿瘤中心连续87例接受CD3 × CD20 bsab治疗的B-NHL患者进行纳入和分析。收集临床数据,并介绍了包括机器学习算法在内的各种方法。结果:患者年龄中位数为55岁,既往治疗行数中位数为2条。42例(48.3%)患者发生CRS,其中1级27例,2级9例,3级5例,5级1例。发现并选择了四个变量:体积较大的疾病(> - 5cm)、既往治疗线数(≥3条)、单核细胞/淋巴细胞比率(MLR)和血小板计数(PLT)。引入了Bootstrap重采样用于内部验证和模型构建。最终建立预测模态图,ROC-AUC为0.867 (95% CI 0.719-0.954)。结论:本研究首次提出了4个潜在的预测因素,并为中国≥2级CRS患者提供了一个可行且易于使用的nomogram预后指标图,对指导CRS的个性化管理和早期干预具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive factors and nomogram for the risk of cytokine release syndrome with anti-CD3 × CD20 bispecific antibodies for Chinese patients.

Background: Targeting CD3 × CD20 bispecific antibodies (BsAbs) represents a new milestone in the salvage therapy of relapsed/relapsed large B cell lymphoma and follicular lymphoma. However, cytokine release syndrome (CRS) remains one of the major concerns in clinical practice of CD3 × CD20 BsAbs. This study aimed to identify the potential predictive factors and to construct a nomogram of grade ≥ 2 CRS in CD3 × CD20 BsAbs in Chinese patients.

Methods: A total of 87 consecutive patients with B-NHL who received CD3 × CD20 BsAbs at Sun Yat-sen University Cancer Center from January 2021 to December 2023 were included and analyzed. Clinical data were collected, and various methods including machine learning algorithms were introduced.

Results: The median age of the patients was 55 years, and the median number of previous treatment lines was 2. CRS occurred in 42 patients (48.3%), including 27 cases of grade 1, 9 cases of grade 2, 5 cases of grade 3, and 1 case of grade 5. Four variables were revealed and selected: bulky disease (> 5 cm), number of previous treatment lines (≥ 3), monocyte-to-lymphocyte ratio (MLR), and platelet count (PLT). Bootstrap resampling was introduced for both internal validation and model building. A predictive nomogram was ultimately established, with the ROC-AUC of 0.867 (95% CI 0.719-0.954).

Conclusion: This study suggests four potential predictive factors and provides a feasible and easy-to-use nomogram for grade ≥ 2 CRS in Chinese patients for the first time, which is important for guiding personalized management and early intervention of CRS.

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