Precision Delineation of Surgical Margins across Breast Cancer Subtypes with a Novel KIAA1363-Targeted NIR Fluorescent Probe

Surgical resection remains the first-line treatment for breast cancer, underscoring the need for precision tools for intraoperative margin delineation. Due to high heterogeneity, accurate identification of tumor margins poses a significant challenge in breast cancer. Herein, we report a rapid-clearance near-infrared fluorescent probe, Cy-JW (λ<sub>ab</sub> = 775 nm, λ<sub>em</sub> = 808 nm, compatible with current clinical intraoperative fluorescence imaging devices), which can target the tumor-overexpressed enzyme KIAA1363. Cy-JW exhibited high aqueous solubility and potent affinity for KIAA1363 (IC<sub>50</sub> = 36.90 nM) and enabled clear visualization in three representative breast cancer cell lines. In mouse xenograft models, both intratumoral and intravenous administration yielded high tumor-to-background ratios (TBR > 5), supporting complete and precise tumor resection. Biodistribution and safety evaluations indicated rapid plasma clearance (<i>t</i><sub>1/2</sub> < 0.5 h) and predominant renal excretion within 48 h, suggesting a favorable safety profile with a reduced risk of systemic toxicity. Furthermore, preclinical assessment of freshly resected specimens from breast cancer patients (across three subtypes) using a clinical fluorescence imaging device showed strong agreement between fluorescence-guided demarcation and histopathological analysis. Collectively, these results establish Cy-JW as a promising agent for fluorescence-guided surgery (FGS) applications across diverse breast cancer subtypes.

Authors

Institutions

Publication Details

Journal
ACS Sensors
Published
2026-03-13
DOI
https://doi.org/10.1021/acssensors.5c04472
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Precision Delineation of Surgical Margins across Breast Cancer Subtypes with a Novel KIAA1363-Targeted NIR Fluorescent Probe

Changyu Zhang, Jiangli Fan, Jianwei Li, Jianjun Du et al.
ACS Sensors
Nanoplatforms for cancer theranostics
article

Precision Delineation of Surgical Margins across Breast Cancer Subtypes with a Novel KIAA1363-Targeted NIR Fluorescent Probe

Changyu Zhang, Jiangli Fan, Jianwei Li, Jianjun Du, Z. S. Xu, W. Wu, Yuanmeng Liu, Xiaojun Peng, Wen Sun
article en

Abstract

Surgical resection remains the first-line treatment for breast cancer, underscoring the need for precision tools for intraoperative margin delineation. Due to high heterogeneity, accurate identification of tumor margins poses a significant challenge in breast cancer. Herein, we report a rapid-clearance near-infrared fluorescent probe, Cy-JW (λ<sub>ab</sub> = 775 nm, λ<sub>em</sub> = 808 nm, compatible with current clinical intraoperative fluorescence imaging devices), which can target the tumor-overexpressed enzyme KIAA1363. Cy-JW exhibited high aqueous solubility and potent affinity for KIAA1363 (IC<sub>50</sub> = 36.90 nM) and enabled clear visualization in three representative breast cancer cell lines. In mouse xenograft models, both intratumoral and intravenous administration yielded high tumor-to-background ratios (TBR > 5), supporting complete and precise tumor resection. Biodistribution and safety evaluations indicated rapid plasma clearance (<i>t</i><sub>1/2</sub> < 0.5 h) and predominant renal excretion within 48 h, suggesting a favorable safety profile with a reduced risk of systemic toxicity. Furthermore, preclinical assessment of freshly resected specimens from breast cancer patients (across three subtypes) using a clinical fluorescence imaging device showed strong agreement between fluorescence-guided demarcation and histopathological analysis. Collectively, these results establish Cy-JW as a promising agent for fluorescence-guided surgery (FGS) applications across diverse breast cancer subtypes.

ACS Sensors
Ministry of Education of the People's Republic of China (CN), Dalian University of Technology (CN), Wenzhou Medical University (CN), Ningbo Medical Center Lihuili Hospital (CN), State Key Laboratory of Fine Chemicals
Openalex Percentile: Top 22%
Nanoplatforms for cancer theranostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.