Three-Dimensional Visualization of Breast Cancer Pathology Evolution in Clinical Patient Tissues with NIR-II Imaging

Breast cancer (BC) is the most common tumor worldwide and requires crucial molecular typing for treatment and prognosis assessment. Currently, approaches like pathological staining, immunohistochemistry (IHC), and immunofluorescence (IF) face limitations due to the low signal-to-background ratio (SBR) and high tumor heterogeneity, resulting in a high misdiagnosis rate. Fluorescent assay in the second near-infrared region (NIR-II, 1000-1700 nm) exhibits ultrahigh SBR owing to diminished scattering and tissue autofluorescence. Here, we present a NIR-II strategy for accurate BC molecular typing and three-dimensional (3D) visualization based on the atomically precise fluorescent Au<sub>24</sub>Pr<sub>1</sub> clusters. Single-atom Pr doping results in 3.9-fold fluorescence enhancement and long-term photostability. The Au<sub>24</sub>Pr<sub>1</sub> clusters possess high fluorescence centered at ∼1100 nm and the SBR on pathological section diagnosis was 4 times higher than that of NIR-I imaging. This enables high spatial resolution 3D visualization of biopsy specimens, which can surmount tissue heterogeneity for clinical diagnosis of BC.

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Publication Details

Journal
Nano Letters
Published
2024-08-09
DOI
https://doi.org/10.1021/acs.nanolett.4c02945
Citations
14
Primary Topic
Nanocluster Synthesis and Applications
Type
article
Field-Weighted Citation Impact
1.64

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article

Three-Dimensional Visualization of Breast Cancer Pathology Evolution in Clinical Patient Tissues with NIR-II Imaging

Zhidong Wang, Huizhen Ma, Hongwei Li, Xiaodong Zhang et al.
14 citations
Nano Letters
Nanocluster Synthesis and Applications
1.64
article

Three-Dimensional Visualization of Breast Cancer Pathology Evolution in Clinical Patient Tissues with NIR-II Imaging

Zhidong Wang, Huizhen Ma, Hongwei Li, Xiaodong Zhang, Qi Wang, Shasha Li, Yuan Li, Hao Wang, Xin Qi, Pengfei Liu, Haoyue Yan, Siyu Ao
article en
14 citations

Abstract

Breast cancer (BC) is the most common tumor worldwide and requires crucial molecular typing for treatment and prognosis assessment. Currently, approaches like pathological staining, immunohistochemistry (IHC), and immunofluorescence (IF) face limitations due to the low signal-to-background ratio (SBR) and high tumor heterogeneity, resulting in a high misdiagnosis rate. Fluorescent assay in the second near-infrared region (NIR-II, 1000-1700 nm) exhibits ultrahigh SBR owing to diminished scattering and tissue autofluorescence. Here, we present a NIR-II strategy for accurate BC molecular typing and three-dimensional (3D) visualization based on the atomically precise fluorescent Au<sub>24</sub>Pr<sub>1</sub> clusters. Single-atom Pr doping results in 3.9-fold fluorescence enhancement and long-term photostability. The Au<sub>24</sub>Pr<sub>1</sub> clusters possess high fluorescence centered at ∼1100 nm and the SBR on pathological section diagnosis was 4 times higher than that of NIR-I imaging. This enables high spatial resolution 3D visualization of biopsy specimens, which can surmount tissue heterogeneity for clinical diagnosis of BC.

Nano LettersVol. 24(33)
Tianjin University (CN), Beijing Radiation Center (CN), Tianjin Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Tianjin City, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 12%
Nanocluster Synthesis and Applications
1.64
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