The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
NIR-II nanoprobes in-vivo assembly to improve image-guided surgery for metastatic ovarian cancer
Open accessAbstract
Local recurrence is a common cause of treatment failure for patients with solid tumors. Tumor-specific intraoperative fluorescence imaging may improve staging and debulking efforts in cytoreductive surgery and, thereby improve prognosis. Here, we report in vivo assembly of the second near-infrared window (NIR-II) emitting downconversion nanoparticles (DCNPs) modified with DNA and targeting peptides to improve the image-guided surgery for metastatic ovarian cancer. The NIR-II imaging quality with DCNPs is superior to that of clinically approved ICG with good photostability and deep tissue penetration (8 mm). Stable tumor retention period experienced 6 h by in vivo assembly of nanoprobes can be used for precise tumor resection. Superior tumor-to-normal tissue ratio is successfully achieved to facilitate the abdominal ovarian metastases surgical delineation. Metastases with ≤1 mm can be completely excised under NIR-II bioimaging guidance. This novel technology provides a general new basis for the future design of nanomaterials for medical applications.
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Cites
1 retracted
Wang, H., Agarwal, P., Zhao, S., Yu, J., Lu, X., & He, X. (2015) · Nature Communications · doi:10.1038/ncomms10081 · Cited by 113
RetractedNanocarriers as an emerging platform for cancer therapy
Peer, D., Karp, J. M., Hong, S., Farokhzad, O. C., Margalit, R., & Langer, R. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.387 · Cited by 8,710
In vivo near-infrared fluorescence imaging
Frangioni, J. V. (2003) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2003.08.007 · Cited by 2,653
Quantum-dot-tagged microbeads for multiplexed optical coding of biomolecules
Han, M., Gao, X., Su, J. Z., & Nie, S. (2001) · Nature Biotechnology · doi:10.1038/90228 · Cited by 2,631
Imaging in the era of molecular oncology
Weissleder, R., & Pittet, M. J. (2008) · Nature · doi:10.1038/nature06917 · Cited by 2,364
A small-molecule dye for NIR-II imaging
Antaris, A. L., Chen, H., Cheng, K., Sun, Y., Hong, G., Qu, C., Diao, S., Deng, Z., Hu, X., Zhang, B., et al. (2016) · Nature Materials · doi:10.1038/nmat4476 · Cited by 1,778
van Dam, G. M., Themelis, G., Crane, L. M. A., Harlaar, N. J., Pleijhuis, R. G., Kelder, W., Sarantopoulos, A., de Jong, J. S., Arts, H. J. G., van der Zee, A. G. J., et al. (2011) · Nature Medicine · doi:10.1038/nm.2472 · Cited by 1,545
Controlling upconversion nanocrystals for emerging applications
Zhou, B., Shi, B., Jin, D., & Liu, X. (2015) · Nature Nanotechnology · doi:10.1038/nnano.2015.251 · Cited by 1,503
Image-guided cancer surgery using near-infrared fluorescence
Vahrmeijer, A. L., Hutteman, M., van der Vorst, J. R., van de Velde, C. J. H., & Frangioni, J. V. (2013) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2013.123 · Cited by 1,466
Through-skull fluorescence imaging of the brain in a new near-infrared window
Hong, G., Diao, S., Chang, J., Antaris, A. L., Chen, C., Zhang, B., Zhao, S., Atochin, D. N., Huang, P. L., Andreasson, K. I., et al. (2014) · Nature Photonics · doi:10.1038/nphoton.2014.166 · Cited by 1,061
Cited by
In vivo NIR-II fluorescence imaging for biology and medicine
Wang, F., Zhong, Y., Bruns, O., Liang, Y., & Dai, H. (2024) · Nature Photonics · doi:10.1038/s41566-024-01391-5 · Cited by 564
Precise nanomedicine for intelligent therapy of cancer
Chen, H., Gu, Z., An, H., Chen, C., Chen, J., Cui, R., Chen, S., Chen, W., Chen, X., Chen, X., et al. (2018) · Science China Chemistry · doi:10.1007/s11426-018-9397-5 · Cited by 409
Organic NIR-II molecule with long blood half-life for in vivo dynamic vascular imaging
Li, B., Zhao, M., Feng, L., Dou, C., Ding, S., Zhou, G., Lu, L., Zhang, H., Chen, F., Li, X., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16924-z · Cited by 374
Self-citationNIR-II light in clinical oncology: opportunities and challenges
Zhang, Z., Du, Y., Shi, X., Wang, K., Qu, Q., Liang, Q., Ma, X., He, K., Chi, C., Tang, J., et al. (2024) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-024-00892-0 · Cited by 341
NIR-II bioluminescence for in vivo high contrast imaging and in situ ATP-mediated metastases tracing
Lu, L., Li, B., Ding, S., Fan, Y., Wang, S., Sun, C., Zhao, M., Zhao, C.-X., & Zhang, F. (2020) · Nature Communications · doi:10.1038/s41467-020-18051-1 · Cited by 274
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Metadata
- Authors
- Wang, P., Fan, Y., Lu, L., Liu, L., Fan, L., Zhao, M., Xie, Y., Xu, C., & Zhang, F.
- Venue
- Nature Communications
- Published
- 2018-07-24
- Volume
- 9
- Issue
- 1
- Pages
- 2898-2898
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2883358359
- Cited by
- 451
- References
- 56
- FWCI
- 21.24
- Type
- journal article
- Language
- en
- Open access
- gold
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