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Issue 46, 2018
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Detection of lymph node metastasis with near-infrared upconversion luminescent nanoprobes

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Abstract

The detection of lymph node metastasis is of great importance for therapy planning and prognosis of cancers, but remains challenging in the clinic. In the current study, we report a tumor-specific imaging probe constructed with NaGdF4:Yb,Tm,Ca@NaLuF4 core@shell upconversion nanoparticles showing distinctive near infrared emission. The following studies revealed that the characteristic Tm dopant emission at 804 nm showed a penetration depth up to 7.7 mm through multi-layered mice skin tissues, substantially greater than emissions at 655 nm and 541 nm typically from the widely used Er dopant, which is apparently favorable for sensitive tumor diagnosis. The cell binding assay further revealed that the anti-HER2 antibodies covalently attached on the particle surface endowed the nanoprobe with excellent binding specificity in targeting HER2-positive cancer cells in vitro, which further enabled the detection of lymph node metastasis of breast cancer in vivo in mice. In addition, the pharmacokinetics of the resulting nanoprobes were intensively studied through both upconversion luminescence imaging and SPECT imaging for comparing with that of the mother particles. The results obtained through both approaches were well consistent and revealed that the surface conjugation of antibodies largely altered the pharmacokinetic behaviors and substantially prolonged the blood half-life of the underlying nanoparticles, which was never reported before.

Graphical abstract: Detection of lymph node metastasis with near-infrared upconversion luminescent nanoprobes

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Publication details

The article was received on 18 Jul 2018, accepted on 01 Nov 2018 and first published on 03 Nov 2018


Article type: Paper
DOI: 10.1039/C8NR05811C
Nanoscale, 2018,10, 21772-21781

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    Detection of lymph node metastasis with near-infrared upconversion luminescent nanoprobes

    S. Qiu, J. Zeng, Y. Hou, L. Chen, J. Ge, L. Wen, C. Liu, Y. Zhang, R. Zhu and M. Gao, Nanoscale, 2018, 10, 21772
    DOI: 10.1039/C8NR05811C

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