Engineering NIR Probes to Enhance Affinity and Clinical Workflow Compatibility for Prostate Cancer Imaging

作者
Gauri S. Malankar,Dani A. Szafran,Gourav Kumar,Joshua Pace,Mackenzie Devereux,Kai Tao,Michelle M. Gomes,William S. Greer,Cody C. Rounds,Anas M. Masillati,Seseel Gergis,Hayden Ledvina,Kyle J. Milnes,Melissa H. Wong,Mark Niedre,Summer L. Gibbs,Lei Wang
出处
期刊:Angewandte Chemie [Wiley]
卷期号:: e20355-e20355
标识
DOI:10.1002/anie.202520355
摘要

Abstract Positive surgical margins following radical prostatectomy increase the risk of biochemical recurrence and subsequent disease progression. Fluorescence‐guided surgery (FGS) using targeted contrast agents has shown clinical benefits for several cancer types. However, current prostate cancer targeted imaging probes exhibit long pharmacokinetic (PK) profiles, necessitating extended waiting periods or repeated hospital visits, limiting their integration into standard clinical workflow. To overcome this critical clinical compatibility challenge, we developed an innovative tri‐compartment, chemistry‐driven probe design strategy. Specifically, we developed a congeneric library of near infrared (NIR) water soluble fluorescent probes incorporating: 1) a glutamic acid‐urea‐lysine (EuK) ligand targeting prostate specific membrane antigen (PSMA); 2) a NIR heptamethine cyanine fluorophore optimized for enhanced PSMA binding via secondary binding site interactions; and 3) distinct PK modulators residing outside the PSMA binding pocket to promote rapid off‐target tissue clearance. While molecular docking scores, photophysical properties and live‐cell staining results showed similar overall performance, probes bearing PK modulators produced stronger tumor‐specific fluorescence and accumulation in vivo than the control probe lacking a PK modulator. This effort enabled identification of a lead probe with robust tumor targeting and accelerated off‐target clearance, providing optimal tumor‐specific signal and contrast in a timeframe, fully compatible with robotic‐assisted radical prostatectomy (RARP) timelines.
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。
建议保存本图,每天支付宝扫一扫(相册选取)领红包
实时播报
斯文败类应助Biyn采纳,获得10
1秒前
十一点二十八分完成签到 ,获得积分10
2秒前
陈影完成签到,获得积分10
2秒前
领导范儿应助枫30采纳,获得20
2秒前
4秒前
mario发布了新的文献求助10
4秒前
田様应助准了采纳,获得30
6秒前
张大快乐发布了新的文献求助10
6秒前
科研通AI2S应助xiao采纳,获得10
6秒前
太叔白风完成签到,获得积分10
6秒前
明杰发布了新的文献求助10
6秒前
zzz发布了新的文献求助10
7秒前
8秒前
11秒前
11秒前
TogawaSakiko发布了新的文献求助10
11秒前
11秒前
苗条的向雪完成签到 ,获得积分10
12秒前
shizi发布了新的文献求助30
13秒前
丘比特应助甜蜜舞蹈采纳,获得10
14秒前
14秒前
FashionBoy应助biofresh采纳,获得10
15秒前
科研通AI6应助phil采纳,获得10
15秒前
16秒前
17秒前
今后应助卢曹宇采纳,获得10
17秒前
Aprilapple发布了新的文献求助10
17秒前
孟晓晖完成签到,获得积分10
18秒前
拼搏雪瑶发布了新的文献求助30
19秒前
19秒前
20秒前
bkagyin应助洁净大神采纳,获得10
20秒前
鲤鱼从安完成签到,获得积分10
21秒前
勤劳桐发布了新的文献求助10
21秒前
怡然凝云完成签到,获得积分10
23秒前
傻傻的哈密瓜完成签到,获得积分10
23秒前
甜美砖家完成签到 ,获得积分10
23秒前
希望天下0贩的0应助Yuting采纳,获得10
24秒前
Owen应助拼搏雪瑶采纳,获得10
25秒前
26秒前
高分求助中
List of 1,091 Public Pension Profiles by Region 1541
The Jasper Project 800
Binary Alloy Phase Diagrams, 2nd Edition 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
A Technologist’s Guide to Performing Sleep Studies 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
Using Genomics to Understand How Invaders May Adapt: A Marine Perspective 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5499657
求助须知:如何正确求助?哪些是违规求助? 4596431
关于积分的说明 14454525
捐赠科研通 4529637
什么是DOI,文献DOI怎么找? 2482102
邀请新用户注册赠送积分活动 1466069
关于科研通互助平台的介绍 1438891