Molecular phenotyping and image-guided surgical treatment of melanoma using spectrally distinct ultrasmall core-shell silica nanoparticles.

Autor:	Chen F; Department of Radiology, Sloan Kettering Institute for Cancer Research, New York, NY 10065, USA., Madajewski B; Department of Radiology, Sloan Kettering Institute for Cancer Research, New York, NY 10065, USA., Ma K; Department of Materials Science & Engineering, Cornell University, Ithaca, NY 14853, USA., Karassawa Zanoni D; Head and Neck Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA., Stambuk H; Department of Radiology, Sloan Kettering Institute for Cancer Research, New York, NY 10065, USA., Turker MZ; Department of Materials Science & Engineering, Cornell University, Ithaca, NY 14853, USA., Monette S; Laboratory of Comparative Pathology, Center of Comparative Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA., Zhang L; Department of Radiology, Sloan Kettering Institute for Cancer Research, New York, NY 10065, USA., Yoo B; Department of Radiology, Sloan Kettering Institute for Cancer Research, New York, NY 10065, USA., Chen P; Department of Radiology, Sloan Kettering Institute for Cancer Research, New York, NY 10065, USA., Meester RJC; Quest Medical Imaging B.V., NL-1775PW, Middenmeer, Netherlands., de Jonge S; Quest Medical Imaging B.V., NL-1775PW, Middenmeer, Netherlands., Montero P; Head and Neck Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA., Phillips E; Department of Radiology, Sloan Kettering Institute for Cancer Research, New York, NY 10065, USA., Quinn TP; Department of Biochemistry, University of Missouri, Columbia, MO 65211, USA.; Harry S Truman Veterans' Hospital, Columbia, MO 65201, USA., Gönen M; Department of Epidemiology and Biostatistics, Sloan Kettering Institute for Cancer Research, New York, NY 10065, USA., Sequeira S; Research and Technology Management, Sloan Kettering Institute for Cancer Research, New York, NY 10065, USA., de Stanchina E; Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA., Zanzonico P; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA., Wiesner U; Department of Materials Science & Engineering, Cornell University, Ithaca, NY 14853, USA., Patel SG; Head and Neck Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA., Bradbury MS; Department of Radiology, Sloan Kettering Institute for Cancer Research, New York, NY 10065, USA.; Molecular Pharmacology Program, Sloan Kettering Institute for Cancer Research, New York, NY 10065, USA.
Jazyk:	angličtina
Zdroj:	Science advances [Sci Adv] 2019 Dec 04; Vol. 5 (12), pp. eaax5208. Date of Electronic Publication: 2019 Dec 04 (Print Publication: 2019).
DOI:	10.1126/sciadv.aax5208
Abstrakt:	Accurate detection and quantification of metastases in regional lymph nodes remain a vital prognostic predictor for cancer staging and clinical outcomes. As intratumoral heterogeneity poses a major hurdle to effective treatment planning, more reliable image-guided, cancer-targeted optical multiplexing tools are critically needed in the operative suite. For sentinel lymph node mapping indications, accurately interrogating distinct molecular signatures on cancer cells in vivo with differential levels of sensitivity and specificity remains largely unexplored. To address these challenges and demonstrate sensitivity to detecting micrometastases, we developed batches of spectrally distinct 6-nm near-infrared fluorescent core-shell silica nanoparticles, each batch surface-functionalized with different melanoma targeting ligands. Along with PET imaging, particles accurately detected and molecularly phenotyped cancerous nodes in a spontaneous melanoma miniswine model using image-guided multiplexing tools. Information afforded from these tools offers the potential to not only improve the accuracy of targeted disease removal and patient safety, but to transform surgical decision-making for oncological patients. (Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).)
Databáze:	MEDLINE
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