Fluorescence Lifetime Imaging Enables In vivo Quantification of PD-L1 Expression and Inter-tumoral Heterogeneity

体内 荧光 荧光寿命成像显微镜 癌症研究 临床前影像学 化学 生物物理学 医学 生物 遗传学 光学 物理
作者
Rahul Pal,Murali Krishnamoorthy,Aya Matsui,Homan Kang,Satoru Morita,Hajime Taniguchi,Tatsuya Kobayashi,Atsuyo Morita,Hak Soo Choi,Dan G. Duda,Anand T. N. Kumar
出处
期刊:Cancer Research [American Association for Cancer Research]
被引量:5
标识
DOI:10.1158/0008-5472.can-24-0880
摘要

Patient selection for cancer immunotherapy requires precise, quantitative readouts of biomarker expression in intact tumors that can be reliably compared across multiple subjects over time. The current clinical standard biomarker for assessing immunotherapy response is programmed death-ligand-1 (PD-L1) expression, typically quantified using immunohistochemistry. This method, however, only provides snapshots of PD-L1 expression status in microscopic regions of ex vivo specimens. While various targeted probes have been investigated for in vivo imaging of PD-L1, non-specific probe accumulation within the tumor microenvironment (TME) has hindered accurate quantification, limiting the utility for preclinical and clinical studies. Here, we demonstrated that in vivo time-domain (TD) fluorescence imaging of an anti-PD-L1 antibody tagged with the near-infrared fluorophore IRDye 800CW (αPDL1-800) can yield quantitative estimates of baseline tumor PD-L1 heterogeneity across untreated mice, as well as variations in PD-L1 expression in mice undergoing clinically relevant anti-PD1 treatment. The fluorescence lifetime (FLT) of PD-L1 bound αPDL1-800 was significantly longer than the FLT of nonspecifically accumulated αPDL1-800 in the TME. This FLT contrast allowed quantification of PD-L1 expression across mice both in superficial breast tumors using planar FLT imaging and in deep-seated liver tumors (>5 mm depth) using the asymptotic TD algorithm for fluorescence tomography. These findings suggest that fluorescence lifetime imaging can accelerate the preclinical investigation and clinical translation of new immunotherapy treatments by enabling robust quantification of receptor expression across subjects.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
CodeCraft应助王孝松采纳,获得10
刚刚
刚刚
刚刚
共享精神应助lulu1234采纳,获得10
刚刚
liujunhong完成签到,获得积分10
刚刚
刚刚
wave完成签到,获得积分10
刚刚
1秒前
hyekyo发布了新的文献求助30
1秒前
DT完成签到,获得积分0
1秒前
1秒前
懵懂的绿真完成签到,获得积分10
1秒前
liuguohua126完成签到,获得积分10
2秒前
Lucas完成签到,获得积分10
2秒前
BetterH完成签到 ,获得积分10
2秒前
wanna完成签到,获得积分10
2秒前
kento发布了新的文献求助80
2秒前
wanci应助泽山咸采纳,获得10
3秒前
panpanpanda完成签到 ,获得积分10
3秒前
pyt完成签到,获得积分10
4秒前
善学以致用应助cheng采纳,获得10
5秒前
jason完成签到,获得积分10
5秒前
awu完成签到 ,获得积分10
5秒前
dyk完成签到,获得积分10
5秒前
5秒前
毓雅完成签到,获得积分10
6秒前
calmxp发布了新的文献求助10
6秒前
iron发布了新的文献求助10
7秒前
7秒前
wendy_1006完成签到,获得积分10
7秒前
zhuzhu完成签到,获得积分10
7秒前
研友_LMBAXn完成签到,获得积分10
7秒前
飞快的雁完成签到 ,获得积分10
7秒前
a成完成签到,获得积分10
8秒前
忧伤且抑郁完成签到 ,获得积分10
8秒前
田様应助弥生采纳,获得10
8秒前
洛苏完成签到,获得积分10
9秒前
10秒前
10秒前
帅气的方盒完成签到,获得积分20
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Acute Mountain Sickness 2000
Handbook of Milkfat Fractionation Technology and Application, by Kerry E. Kaylegian and Robert C. Lindsay, AOCS Press, 1995 1000
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5067327
求助须知:如何正确求助?哪些是违规求助? 4289104
关于积分的说明 13362097
捐赠科研通 4108613
什么是DOI,文献DOI怎么找? 2249798
邀请新用户注册赠送积分活动 1255239
关于科研通互助平台的介绍 1187762