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晚期非小细胞肺癌患者中C-厄洛替尼、F-阿法替尼和C-奥希替尼的生物分布与示踪剂动力学之间的关系以及使用药代动力学/药效学分析进行图像质量评估

Relationship between Biodistribution and Tracer Kinetics of C-Erlotinib, F-Afatinib and C-Osimertinib and Image Quality Evaluation Using Pharmacokinetic/Pharmacodynamic Analysis in Advanced Stage Non-Small Cell Lung Cancer Patients.

作者信息

van de Stadt Eveline Annette, Yaqub Maqsood, Schuit Robert C, Bartelink Imke H, Leeuwerik Anke F, Schwarte Lothar A, de Langen Adrianus J, Hendrikse Harry, Bahce Idris

机构信息

Department of Pulmonology, Amsterdam UMC Location VUmc, 1081 HV Amsterdam, The Netherlands.

Department of Radiology and Nuclear Medicine, Amsterdam UMC Location VUmc, 1081 HZ Amsterdam, The Netherlands.

出版信息

Diagnostics (Basel). 2022 Apr 1;12(4):883. doi: 10.3390/diagnostics12040883.

Abstract

BACKGROUND

Patients with non-small cell lung cancer (NSCLC) driven by activating epidermal growth factor receptor (EGFR) mutations are best treated with therapies targeting EGFR, i.e., tyrosine kinase inhibitors (TKI). Radiolabeled EGFR-TKI and PET have been investigated to study EGFR-TKI kinetics and its potential role as biomarker of response in NSCLC patients with EGFR mutations (EGFRm). In this study we aimed to compare the biodistribution and kinetics of three different EGFR-TKI, i.e., C-erlotinib, F-afatinib and C-osimertinib.

METHODS

Data of three prospective studies and 1 ongoing study were re-analysed; data from thirteen patients (EGFRm) were included for C-erlotinib, seven patients for F-afatinib (EGFRm and EGFR wild type) and four patients for C-osimertinib (EGFRm). From dynamic and static scans, SUV and tumor-to-blood (TBR) values were derived for tumor, lung, spleen, liver, vertebra and, if possible, brain tissue. AUC values were calculated using dynamic time-activity-curves. Parent fraction, plasma-to-blood ratio and SUV values were derived from arterial blood data. Tumor-to-lung contrast was calculated, as well as (background) noise to assess image quality.

RESULTS

C-osimertinib showed the highest SUV and TBR (AUC) values in nearly all tissues. Spleen uptake was notably high for C-osimertinib and to a lesser extent for F-afatinib. For EGFRm, C-erlotinib and F-afatinib demonstrated the highest tumor-to-lung contrast, compared to an inverse contrast observed for C-osimertinib. Tumor-to-lung contrast and spleen uptake of the three TKI ranked accordingly to the expected lysosomal sequestration.

CONCLUSION

Comparison of biodistribution and tracer kinetics showed that C-erlotinib and F-afatinib demonstrated the highest tumor-to-background contrast in EGFRm positive tumors. Image quality, based on contrast and noise analysis, was superior for C-erlotinib and F-afatinib (EGFRm) scans compared to C-osimertinib and F-afatinib (EGFR wild type) scans.

摘要

背景

由激活型表皮生长因子受体(EGFR)突变驱动的非小细胞肺癌(NSCLC)患者,最佳治疗方法是使用靶向EGFR的疗法,即酪氨酸激酶抑制剂(TKI)。放射性标记的EGFR-TKI和PET已被用于研究EGFR-TKI的动力学及其作为EGFR突变(EGFRm)的NSCLC患者反应生物标志物的潜在作用。在本研究中,我们旨在比较三种不同EGFR-TKI,即C-厄洛替尼、F-阿法替尼和C-奥希替尼的生物分布和动力学。

方法

对三项前瞻性研究和一项正在进行的研究的数据进行重新分析;纳入了13例C-厄洛替尼患者(EGFRm)、7例F-阿法替尼患者(EGFRm和EGFR野生型)和4例C-奥希替尼患者(EGFRm)的数据。从动态和静态扫描中,得出肿瘤、肺、脾、肝、椎骨以及可能的脑组织的SUV和肿瘤与血液(TBR)值。使用动态时间-活性曲线计算AUC值。母体分数、血浆与血液比值和SUV值来自动脉血数据。计算肿瘤与肺的对比度以及(背景)噪声以评估图像质量。

结果

C-奥希替尼在几乎所有组织中显示出最高的SUV和TBR(AUC)值。C-奥希替尼的脾脏摄取明显较高,F-阿法替尼的脾脏摄取程度较低。对于EGFRm,与C-奥希替尼观察到的反向对比度相比,C-厄洛替尼和F-阿法替尼表现出最高的肿瘤与肺对比度。三种TKI的肿瘤与肺对比度和脾脏摄取情况与预期的溶酶体隔离情况一致。

结论

生物分布和示踪动力学的比较表明,C-厄洛替尼和F-阿法替尼在EGFRm阳性肿瘤中表现出最高的肿瘤与背景对比度。基于对比度和噪声分析,与C-奥希替尼和F-阿法替尼(EGFR野生型)扫描相比,C-厄洛替尼和F-阿法替尼(EGFRm)扫描的图像质量更佳。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/006b/9032381/0ac587ea8b3b/diagnostics-12-00883-g001.jpg

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