PreS1 peptide-functionalized gold nanostructures with SERRS tags for efficient liver cancer cell targeting
Abstract
Early detection is the most effective mean of improving prognosis for many fatal diseases such as cancer. In this context, the Surface Enhanced Resonance Raman Scattering (SERRS) technique is being proposed as alternative to fluorescent methods in detection of biomarkers, because SERRS nanostructures are bright as fluorescent tags but more stable and clearly detectable using the narrow Raman "fingerprints" of a suitable reporter. Here we show that biocompatible SERRS active gold nanostructures, functionalized with an engineered PreS1 peptide (AuNP@PEG-PreS1), detect the presence of the SerpinB3 antigen overexpressed on liver tumor cells, a biomarker of the onset of liver cell carcinomatous transformation. A proper engineering of the targeting unit, linked to the nanostructure by a polymer chain, affords a sensitivity and specificity larger than 80%, at subnanomolar concentrations. Taking into account the high sensitivity of SERRS and that SB3 overexpression is an early event in liver cell carcinomatous transformation, AuNP@PEG-PreS1 nanostructures could be used in routine diagnostic activities, to improve the accuracy of HCC detection in particular in patients with chronic liver diseases.
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For nanostructures functionalized with antibodies for PSMA and PSCA antigens, sensitivity and specificity of the order of 90% were obtained.
“Sensitivity (correct targeting among positive cells) and specificity (absence of targeting among negative cells) of the order of 90% were obtained showing the efficiency of the prepared nanostructures [180].”
From Nanoparticles Engineering by Pulsed Laser Ablation in Liquids: Concepts and Applications (2020) · cites this paper as [180]
We developed a methodology for detecting cancer cells based on sub-nanomolar concentration of nanocolloids functionalized with monoclonal antibodies or engineered targeting peptides.
“We developed a methodology for detecting cancer cells based on sub-nanomolar concentration of nanocolloids functionalized with monoclonal antibodies [147,148] or with engineered targeting peptides [172,180,181,182,183].”
From Nanoparticles Engineering by Pulsed Laser Ablation in Liquids: Concepts and Applications (2020) · cites this paper as [180]
Targeting of SerpinB3 antigen expressed by liver tumor cells in a mouse overexpressing this protein using nanostructures functionalized with peptide PreS1 was evidenced in vitro and in animal trials, with targeted organs reporting bright SERS signals and complete clearance in 6 h.
“The targeting activity was first evidenced in in vitro studies and, when applied to animal trials, the targeted organs reported bright SERS signals with a complete clearance in 6 h [180].”
From Nanoparticles Engineering by Pulsed Laser Ablation in Liquids: Concepts and Applications (2020) · cites this paper as [180]
After inoculation of nanostructures with SERS signals into mice, SERS signals were easily found in their organs where nanostructures accumulated, or in a tumor, whose margins can be easily obtained with SERS signals.
“After inoculation of nanostructures with SERS signals into mice, we were able to easily find SERS signals in their organs where nanostructures accumulated, or in a tumor, whose margins can be easily obtained with SERS signals.”
From Nanoparticles Engineering by Pulsed Laser Ablation in Liquids: Concepts and Applications (2020) · cites this paper as [180]
NPs synthesized by LAL are of particular interest because their clean surface allows functional molecules to reach easily the NP surface.
“NPs synthesized by LAL are of particular interest because of their clean surface, which allows functional molecules to reach easily the NP surface [179,180].”
From Nanoparticles Engineering by Pulsed Laser Ablation in Liquids: Concepts and Applications (2020) · cites this paper as [180]
Cites
Recent Progress in Cancer Thermal Therapy Using Gold Nanoparticles
Abadeer, N. S., & Murphy, C. J. (2016) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.5b11232 · Cited by 919 · see citing works
Amendola, V., & Meneghetti, M. (2007) · Journal of Materials Chemistry · doi:10.1039/b709621f · Cited by 150 · see citing works
Self-citationBertorelle, F., Pinto, M., Zappon, R., Pilot, R., Litti, L., Fiameni, S., Conti, G., Gobbo, M., Toffoli, G., Colombatti, M., et al. (2018) · Nanoscale · doi:10.1039/c7nr07844g · Cited by 34 · see citing works
Self-citationMazzuca, C., Di Napoli, B., Biscaglia, F., Ripani, G., Rajendran, S., Braga, A., Benna, C., Mocellin, S., Gobbo, M., Meneghetti, M., et al. (2019) · Nanoscale Advances · doi:10.1039/c9na00096h · Cited by 16 · see citing works
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Nanoparticles Engineering by Pulsed Laser Ablation in Liquids: Concepts and Applications
Fazio, E., Gökce, B., De Giacomo, A., Meneghetti, M., Compagnini, G., Tommasini, M., Waag, F., Lucotti, A., Zanchi, C. G., Ossi, P. M., et al. (2020) · Nanomaterials · doi:10.3390/nano10112317 · Cited by 346 · see citing works
“NPs synthesized by LAL are of particular interest because of their clean surface, which allows functional molecules to reach easily the NP surface [179,180].”
BackgroundMethodInfluentialSelf-citationBiscaglia, F., Ripani, G., Rajendran, S., Benna, C., Mocellin, S., Bocchinfuso, G., Meneghetti, M., Palleschi, A., & Gobbo, M. (2019) · ACS Applied Nano Materials · doi:10.1021/acsanm.9b01392 · Cited by 54 · see citing works
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- Authors
- Biscaglia, F., Quarta, S., Villano, G., Turato, C., Biasiolo, A., Litti, L., Ruzzene, M., Meneghetti, M., Pontisso, P., & Gobbo, M.
- Affiliations
- University of Padua (IT)
- Istituto Oncologico Veneto (IT)
- Corresponding author
- Gobbo, Marina
- ORCID
- Venue
- Materials Science and Engineering: C
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 103
- Pages
- 109762
- ISSN
- 0928-4931 (ISSN-L)
- OpenAlex
- W2944874724
- Cited by
- 25
- References
- 4
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 1 · 2021: 4 · 2020: 6 · 2019: 4
- FWCI
- 1.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Materials Science and Engineering C (publishedVersion)
- PubMed (publishedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- Funders
- Associazione Italiana per la Ricerca sul Cancro
- Università degli Studi di Padova (08SID2017, 04SID2016, CPDA110795, NAMECA-C98C13002740005)
- Topics
- Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Gold and Silver Nanoparticles Synthesis and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
- Keywords
- surface-enhanced resonance Raman scattering, gold nanoparticles, SERPINB3, hepatocellular carcinoma, liver cancer detection, tumor markers, peptide-functionalized nanoparticles, PEGylation, tumor targeting, early cancer detection, chronic liver disease
- MeSH terms
- Animals, Antigens, Neoplasm, Gold, Hepatitis B Surface Antigens, Carcinoma, Hepatocellular, Humans, Liver Neoplasms, Mice, Transgenic, Neoplasm Proteins, Peptides, Protein Precursors, Spectrum Analysis, Raman, Serpins, Drug Delivery Systems, Mice, Metal Nanoparticles, Hep G2 Cells
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