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定量检测血浆蛋白以预测紫杉烷类药物引起的周围神经病变。

Quantitation of Plasma Proteins to Predict Taxane-Induced Peripheral Neuropathy.

作者信息

Nguyen-Hoang Nam, Liu Yaping, Henry N Lynn, Pai Manjunath P, Zhu Hao-Jie, Hertz Daniel L

机构信息

Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI.

Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI.

出版信息

JCO Precis Oncol. 2025 Jan;9:e2400380. doi: 10.1200/PO-24-00380. Epub 2025 Jan 31.

Abstract

PURPOSE

Taxane-induced peripheral neuropathy (TIPN) is a dose-limiting toxicity of paclitaxel in patients with cancer. TIPN prediction is challenging although patients with higher systemic paclitaxel exposure have higher TIPN risk. This study aimed to identify protein predictors of TIPN and paclitaxel pharmacokinetics (PK).

METHODS

This is a retrospective analysis of a prospective study of females with early-stage breast cancer receiving weekly paclitaxel. TIPN was assessed using the sensory subscale of the European Organisation for Research and Treatment of Cancer QLQ-Chemotherapy-Induced Peripheral Neuropathy (CIPN)20 (CIPN8). A blood sample was collected within 10 minutes before the end of the first paclitaxel infusion to measure plasma proteins using liquid chromatography-mass spectrometry and to estimate maximum systemic paclitaxel concentration (). A second sample was collected approximately 24 hours after the first infusion to estimate paclitaxel time above threshold (). Linear mixed-effect and regression models were used to identify proteins predictive of TIPN and paclitaxel PK parameters, respectively, using a Bonferroni-adjusted α = .0006.

RESULTS

Data from 36 participants were included in the analysis testing associations of 83 proteins with TIPN or PK. Higher levels of complement C3 were associated with more severe TIPN trajectories ( = .0002). No proteins were associated with either or (all > .0006).

CONCLUSION

Complement C3 concentration at the end of initial paclitaxel infusion may be useful for identifying patients with breast cancer and potentially other tumor types who could benefit from TIPN prevention strategies to improve long-term treatment outcomes.

摘要

目的

紫杉烷诱导的周围神经病变(TIPN)是癌症患者使用紫杉醇时的剂量限制性毒性。尽管全身紫杉醇暴露量较高的患者发生TIPN的风险更高,但TIPN的预测具有挑战性。本研究旨在确定TIPN和紫杉醇药代动力学(PK)的蛋白质预测指标。

方法

这是一项对接受每周一次紫杉醇治疗的早期乳腺癌女性前瞻性研究的回顾性分析。使用欧洲癌症研究与治疗组织QLQ-化疗诱导的周围神经病变(CIPN)20(CIPN8)的感觉亚量表评估TIPN。在第一次紫杉醇输注结束前10分钟内采集血样,使用液相色谱-质谱法测量血浆蛋白,并估计最大全身紫杉醇浓度()。在第一次输注后约24小时采集第二个样本,以估计紫杉醇高于阈值的时间()。使用线性混合效应模型和回归模型分别确定预测TIPN和紫杉醇PK参数的蛋白质,采用Bonferroni校正的α = 0.0006。

结果

36名参与者的数据纳入分析,测试83种蛋白质与TIPN或PK的关联。补体C3水平较高与更严重的TIPN轨迹相关( = 0.0002)。没有蛋白质与或相关(所有> 0.0006)。

结论

初始紫杉醇输注结束时的补体C3浓度可能有助于识别乳腺癌患者以及可能的其他肿瘤类型患者,这些患者可能从TIPN预防策略中受益,以改善长期治疗结果。

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UniProt: the Universal Protein Knowledgebase in 2023.UniProt:2023 年的通用蛋白质知识库。
Nucleic Acids Res. 2023 Jan 6;51(D1):D523-D531. doi: 10.1093/nar/gkac1052.

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