Radiation-induced lymphopenia: A data compilation to unveil relevant factors and mitigation strategies

IF 3.6 3区 医学 Q3 ONCOLOGY
Vladislav Sandul , Sarah Salih Al-Hamami , Jiří Kubeš , Marco Durante , Thomas Friedrich
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Abstract

Purpose

Radiation-induced lymphopenia (RIL) is a common complication of radiation therapy (RT) that can undermine antitumor immunity and diminish the efficacy of immunotherapy. While RIL is a known predictor of poor outcomes, its underlying mechanisms and key determinants remain poorly characterized.

Materials and Methods

We systematically compiled and quantitatively analyzed published data on absolute lymphocyte count (ALC) dynamics during and after RT. A total of 142 ALC curves from 52 publications were digitized and integrated into a standardized database. This database encompasses various RT modalities, including therapy with X-rays or charged particles, as well as extracorporeal irradiation of blood (ECIB).

Results

Analysis revealed consistent lymphocyte depletion during treatment. By the end of RT, median ALCs declined to 24% (range: 1.5–78%) of baseline for intracorporeal exposure and 10% (range: 1–60%) for ECIB. Recovery was incomplete and cancer-type-dependent, reaching only a median of 55% (range: 33–90%) of baseline within one year. We identified baseline ALC, planning target volume (PTV), and dosimetric parameters as key predictors of severe lymphopenia. A low rate of lymphocyte depletion during treatment was frequently associated with impaired long-term recovery. Particle therapy was associated with an average 11% higher end-of-treatment ALC compared to photon therapy, underscoring the lymphocyte-sparing benefit of reduced integral dose.

Conclusions

This work establishes a comprehensive, quantitative foundation for understanding RIL. The developed ALC database supports mechanistic investigation and enables model-based approaches to predict lymphocyte dynamics, guiding the design of lymphocyte-sparing treatment strategies, including particle therapy.
辐射引起的淋巴细胞减少:揭示相关因素和缓解战略的数据汇编
目的放射诱导淋巴细胞减少症(RIL)是放射治疗(RT)的常见并发症,可破坏抗肿瘤免疫,降低免疫治疗的疗效。虽然RIL是一种已知的不良预后预测因子,但其潜在机制和关键决定因素仍不清楚。材料与方法系统整理和定量分析已发表的关于rt期间和rt后绝对淋巴细胞计数(ALC)动态的数据,将52篇出版物中的142条ALC曲线数字化并整合到标准化数据库中。该数据库包含各种RT模式,包括x射线或带电粒子治疗,以及体外血液照射(ECIB)。结果分析显示治疗期间淋巴细胞持续减少。到RT结束时,体内暴露的中位ALCs下降到基线的24%(范围:1.5-78%),ECIB的中位ALCs下降到10%(范围:1-60%)。恢复不完全且依赖于癌症类型,在一年内仅达到基线的中位数55%(范围:33-90%)。我们确定了基线ALC、计划靶体积(PTV)和剂量学参数作为严重淋巴细胞减少的关键预测因素。治疗期间淋巴细胞耗损率低通常与长期恢复受损有关。与光子治疗相比,粒子治疗的终末ALC平均高出11%,强调了降低整体剂量的淋巴细胞保护益处。结论本研究为了解RIL奠定了全面、定量的基础。开发的ALC数据库支持机制研究,并使基于模型的方法能够预测淋巴细胞动力学,指导淋巴细胞保留治疗策略的设计,包括颗粒治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Clinical and Translational Radiation Oncology
Clinical and Translational Radiation Oncology Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
5.30
自引率
3.20%
发文量
114
审稿时长
40 days
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