PO.TB02.02 · 肿瘤生物学

用于检测和定量程序性死亡配体-1的体内荧光寿命断层成像

In-vivo fluorescence lifetime tomography for detection and quantification of programmed death ligand-1

编号 725 展板 15 时间 4/19 02:00–05:00 区域 Section 29 主讲 Rahul Pal
分会场 Molecular Pathology
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作者与单位 Authors & Affiliations

Rahul Pal1, Murali Krishnamoorthy2, Xin Liu3, Satoru Morita3, Atsuyo Morita4, Hak Soo Choi3, Dan Duda5, Anand T. N. Kumar1

1Otolaryngology - Head and Neck Surgery, Mass Eye and Ear, Boston, MA,2Biomedical Engineering, Indian Institute of technology, Madras, India,3Massachusetts General Hospital, Boston, MA,4MGH, Boston, MA,5Houston Methodist Academic Institute, Houston, TX

摘要 Abstract

中文摘要
程序性死亡配体-1(PD-L1)是唯一获临床批准的癌症免疫治疗预测性生物标志物;然而,其表达高度异质,且常规通过离体免疫组化评估。为实现空间分辨、非侵入性的PD-L1定量,我们采用了荧光寿命(FLT)断层成像,并配合一种旨在校正非特异性探针摄取的归一化策略。将携带原位RIL-175肝肿瘤的C57BL/6小鼠(n=10)注射alphaPDL1-800(与IRDye 800CW偶联的抗PD-L1抗体)。注射后48小时,我们进行体内时域FLT成像并与CT共配准,随后进行原位FLT成像和蛋白质印迹以验证PD-L1表达。对时间分辨荧光数据进行双指数拟合,得到FLT(τ)和幅度(a)的空间图。将肿瘤内FLT值最高的前10%取平均以定义结合寿命组分(τ_b),而正常肝脏的平均FLT被视为未结合组分的FLT(τ_u)。提取结合(a_b)和未结合(a_u)探针的幅度,并分割为肿瘤(a_b,T;a_u,T)和正常(a_b,N;a_u,N)感兴趣区。在测试的四种归一化策略中,一种校正背景串扰(a_b,T - a_u,T)并按总摄取量(a_b,N - a_u,N)归一化的策略与PD-L1表达显示出最强相关性(R² = 0.77)。使用渐近时域分析进行的三维重建证实了肿瘤定位和大小的准确性。FLT断层成像能够区分结合与未结合的alphaPDL1-800,并实现对深部肿瘤中PD-L1表达的定量评估。该归一化方法能够在各肿瘤间准确定量PD-L1表达,支持FLT成像在临床前免疫治疗评估和生物标志物指导的治疗监测中的应用价值。
查看英文原文 English abstract
Programmed death ligand-1 (PD-L1) is the only clinically approved predictive biomarker for cancer immunotherapy; however, its expression is highly heterogeneous and routinely assessed by ex vivo immunohistochemistry. To enable spatially resolved, noninvasive PD-L1 quantification, we employed fluorescence lifetime (FLT) tomography with a normalization strategy designed to account for nonspecific probe uptake. C57BL/6 mice bearing orthotopic RIL-175 liver tumors (n=10) were injected with alphaPDL1-800 (anti-PD-L1 antibody conjugated to IRDye 800CW). 48 hours post-injection, we performed in vivo time-domain FLT imaging with co-registered CT, followed by in situ FLT imaging and western blotting to validate PD-L1 expression. Bi-exponential fitting of the time-resolved fluorescence data yielded spatial maps of FLT (τ) and amplitude ( a ). The top 10% of FLTs within the tumor were averaged to define the bound lifetime component (τ_b), while the mean FLT in the normal liver was considered as the FLT of the unbound component (τ_u). Amplitudes of bound (a_b) and unbound (a_u) probes were extracted and segmented into tumor (a_b,T; a_u,T) and normal (a_b,N; a_u,N) ROIs. Among four normalization strategies tested, one correcting for background cross-talk (a_b,T - a_u,T) and normalizing by total uptake (a_b,N - a_u,N) showed the strongest correlation with PD-L1 expression (R² = 0.77). 3D reconstructions using asymptotic time-domain analysis confirmed accurate tumor localization and size. FLT tomography distinguished bound from unbound alphaPDL1-800 and enabled quantitative assessment of PD-L1 expression in deep-seated tumors. The normalization method enabled accurate quantification of PD-L1 expression across tumors, supporting the utility of FLT imaging for preclinical immunotherapy evaluation and biomarker-guided therapy monitoring.
利益披露 Disclosure
R. Pal, None.. M. Krishnamoorthy, None.. X. Liu, None.. S. Morita, None.. A. Morita, None.. D. Duda, None.. A. T. N. Kumar, None.

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