Real-time detection and resection of sentinel lymph node metastasis in breast cancer through a rare earth nanoprobe based NIR-IIb fluorescence imaging Article Swipe
Zuo Yang
,
Yu Ji
,
Qian Jia
,
Yanbin Feng
,
Renchuan Ji
,
Mingli Bai
,
Haohao Yan
,
Fang Sun
,
Ruili Zhang
,
Zhongliang Wang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.mtbio.2024.101166
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.mtbio.2024.101166
Sentinel lymph node (SLN) biopsy is a commonly employed procedure for the routine assessment of axillary involvement in patients with breast cancer. Nevertheless, conventional SLN mapping cannot reliably distinguish the presence and absence of metastatic disease. Additionally, the complex anatomical structures and lymphatic drainage patterns surrounding tumor sites pose challenges to the sensitivity of the near-infrared fluorescence imaging with subcutaneously injected probes. To identifying the SLN metastases, we developed a novel nanoprobe for in vivo fluorescence imaging within the second near-infrared (NIR-II) range. This nanoprobe utilizes rare-earth nanoparticles (RENPs) to emit bright fluorescence at 1525 nm and is conjugated with tumor-targeted hyaluronic acid (HA) to facilitate the detection of metastatic SLN. Upon intravenous administration, RENPs@HA effectively migrated to SLNs and selectively entered metastatic breast tumor cells through CD44-mediated endocytosis. The RENPs@HA nanoprobes exhibited rapid accumulation in metastatic inguinal lymph nodes in mouse model, displaying a 5.8-fold-stronger fluorescence intensity to that observed in normal SLNs. Consequently, these nanoprobes effectively differentiate metastatic SLNs from normal SLNs. Importantly, the probes accurately detected micrometastases. These findings underscore the potential of RENPs@HA for real-time visualization and screening of SLNs metastasis.
Related Topics
Concepts
Nanoprobe
Sentinel lymph node
Breast cancer
Medicine
Metastasis
Lymph
Pathology
Lymphatic system
Biopsy
Fluorescence-lifetime imaging microscopy
Cancer
Metastatic breast cancer
Hyaluronic acid
In vivo
Cancer research
Fluorescence
Materials science
Internal medicine
Biology
Nanoparticle
Nanotechnology
Anatomy
Biotechnology
Quantum mechanics
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.mtbio.2024.101166
- OA Status
- gold
- Cited By
- 4
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401155191
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4401155191Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.mtbio.2024.101166Digital Object Identifier
- Title
-
Real-time detection and resection of sentinel lymph node metastasis in breast cancer through a rare earth nanoprobe based NIR-IIb fluorescence imagingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-07-30Full publication date if available
- Authors
-
Zuo Yang, Yu Ji, Qian Jia, Yanbin Feng, Renchuan Ji, Mingli Bai, Haohao Yan, Fang Sun, Ruili Zhang, Zhongliang WangList of authors in order
- Landing page
-
https://doi.org/10.1016/j.mtbio.2024.101166Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.mtbio.2024.101166Direct OA link when available
- Concepts
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Nanoprobe, Sentinel lymph node, Breast cancer, Medicine, Metastasis, Lymph, Pathology, Lymphatic system, Biopsy, Fluorescence-lifetime imaging microscopy, Cancer, Metastatic breast cancer, Hyaluronic acid, In vivo, Cancer research, Fluorescence, Materials science, Internal medicine, Biology, Nanoparticle, Nanotechnology, Anatomy, Biotechnology, Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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43Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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