Journal
ADVANCED SCIENCE
Volume 8, Issue 4, Pages -Publisher
WILEY
DOI: 10.1002/advs.202000441
Keywords
aggregation‐ induced emission; in vivo imaging; NIR‐ II fluorescence imaging; ovarian cancer detection; polymer dots
Categories
Funding
- National Key R&D Program of China [2016YFC1303100]
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The development of NIR-II fluorescent polymer dots shows high brightness and potential for real-time detection of metastatic ovarian cancer. Modification with targeting peptides enhances the affinity of NIR-II Pdots to ovarian cancer, allowing for clear visualization of metastases through NIR-II fluorescence imaging. This preclinical study demonstrates the promising value of NIR-II Pdots for detecting metastatic ovarian cancer.
Intraoperative diagnosis of metastatic tumors is of significant importance to the treatment of ovarian cancer. NIR-II fluorescence imaging holds great promise for facile detection of tumor in situ with high sensitivity and resolution. Herein, a kind of NIR-II fluorescent polymer dots (NIR-II Pdots) with high brightness is developed for real-time detection of metastatic ovarian cancer via NIR-II fluorescence imaging. The NIR-II Pdots are constructed via the self-assembly of NIR-II emissive aggregation induced emission luminogens (NIR-II AIEgens) and poly (styrene)-graft-poly(ethylene glycol) in water. Such NIR-II Pdots show very high fluorophore contents of nearly 30% and high quantum yield of 5.4% at emission maximum near 1020 nm. Further modification of the NIR-II Pdots with targeting peptides yields NIR-II Pdots-GnRH, which can afford enhanced affinity of NIR-II Pdots to ovarian cancer. Upon intravenous injection of the NIR-II Pdots, whole-body organs and vessels, peritoneal and lymphatic metastases of ovarian cancer are clearly visualized by NIR-II fluorescence imaging. Under the guidance of NIR-II fluorescence imaging, the metastatic foci with the diameter down to approximate to 2 mm can be facilely eliminated. The results indicate preclinical potential value of the NIR-II Pdots for metastatic ovarian cancer detection.
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