Glutathione‐Responsive Near‐Infrared‐II Fluorescence Probe for Early and Accurate Detection of In Situ and Metastatic Tumors

In situ and metastatic malignant tumors are primary diseases that threaten human life. Among all the metastases, liver metastasis is the most difficult to detect. As most imaging probes have high liver accumulation, it is difficult to distinguish tiny metastases from normal liver tissue with strong background signal. In this study, the design of a novel second near-infrared window (NIR-II) fluorescence probe for precise detection of carcinoma in situ and liver metastases is presented. The probe called Tg-RGD utilizes a commercially available cyanine dye IR-806 as the signaling moiety, a disulfide bond linker as the responsive moiety, an RGD-capped poly(ethylene glycol) (PEG) as the water soluble enhancer, and the tumor targeting moiety. Tg-RGD shows good glutathione (GSH) responsiveness and selectivity, where its NIR-II fluorescence intensity can enhance 50-fold after activation. In vivo study indicates that Tg-RGD shows much better imaging and targeting effects than Tg-PEG with a similar structure but without RGD moiety for both orthotopic breast cancer and osteosarcoma. Most importantly, Tg-RGD can detect tiny liver metastases with high signal-to-background ratio (3.2). Thus, this study reports a high-performance tumor-specific NIR-II fluorescence probe for in situ and tiny metastatic tumor detection, and may further broaden the applications into related tumor lesions.

Authors

Institutions

Publication Details

Journal
Small
Published
2025-05-28
DOI
https://doi.org/10.1002/smll.202503257
Citations
3
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
2.02

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Glutathione‐Responsive Near‐Infrared‐II Fluorescence Probe for Early and Accurate Detection of In Situ and Metastatic Tumors

Hui Zhou, Chen Xie, Xuxuan Gu, Likun Yin et al.
3 citations
Small
Nanoplatforms for cancer theranostics
2.02
article

Glutathione‐Responsive Near‐Infrared‐II Fluorescence Probe for Early and Accurate Detection of In Situ and Metastatic Tumors

Hui Zhou, Chen Xie, Xuxuan Gu, Likun Yin, Wen Zhou, Quli Fan, Yuxin Huang, Liwen Sun, Pu Xu
article en
3 citations

Abstract

In situ and metastatic malignant tumors are primary diseases that threaten human life. Among all the metastases, liver metastasis is the most difficult to detect. As most imaging probes have high liver accumulation, it is difficult to distinguish tiny metastases from normal liver tissue with strong background signal. In this study, the design of a novel second near-infrared window (NIR-II) fluorescence probe for precise detection of carcinoma in situ and liver metastases is presented. The probe called Tg-RGD utilizes a commercially available cyanine dye IR-806 as the signaling moiety, a disulfide bond linker as the responsive moiety, an RGD-capped poly(ethylene glycol) (PEG) as the water soluble enhancer, and the tumor targeting moiety. Tg-RGD shows good glutathione (GSH) responsiveness and selectivity, where its NIR-II fluorescence intensity can enhance 50-fold after activation. In vivo study indicates that Tg-RGD shows much better imaging and targeting effects than Tg-PEG with a similar structure but without RGD moiety for both orthotopic breast cancer and osteosarcoma. Most importantly, Tg-RGD can detect tiny liver metastases with high signal-to-background ratio (3.2). Thus, this study reports a high-performance tumor-specific NIR-II fluorescence probe for in situ and tiny metastatic tumor detection, and may further broaden the applications into related tumor lesions.

SmallVol. 21(30)
Nanjing University of Posts and Telecommunications (CN)
Synergetic Innovation Center for Organic Electronics and Information Displays, National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Basic Research Program of Jiangsu Province
Good health and well-being
Openalex Percentile: Top 14%
Nanoplatforms for cancer theranostics
2.02
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.