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Development of anti-membrane type 1-matrix metalloproteinase nanobodies as immunoPET probes for triple negative breast cancer imaging

Triple-negative breast cancer (TNBC) is characterized by aggressiveness and high rates of metastasis. The identification of relevant biomarkers is crucial to improve outcomes for TNBC patients. Membrane type 1-matrix metalloproteinase (MT1-MMP) could be a good candidate because its expression has be...

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Detalles Bibliográficos
Autores principales: Mulero, Francisca, Oteo, Marta, Garaulet, Guillermo, Magro, Natalia, Rebollo, Lluvia, Medrano, Guillermo, Santiveri, Clara, Romero, Eduardo, Sellek, Ricela E., Margolles, Yago, Campos-Olivas, Ramón, Arroyo, Alicia G., Fernández, Luis Angel, Morcillo, Miguel Angel, Martínez-Torrecuadrada, Jorge L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729729/
https://www.ncbi.nlm.nih.gov/pubmed/36507540
http://dx.doi.org/10.3389/fmed.2022.1058455
Descripción
Sumario:Triple-negative breast cancer (TNBC) is characterized by aggressiveness and high rates of metastasis. The identification of relevant biomarkers is crucial to improve outcomes for TNBC patients. Membrane type 1-matrix metalloproteinase (MT1-MMP) could be a good candidate because its expression has been reported to correlate with tumor malignancy, progression and metastasis. Moreover, single-domain variable regions (VHHs or Nanobodies) derived from camelid heavy-chain-only antibodies have demonstrated improvements in tissue penetration and blood clearance, important characteristics for cancer imaging. Here, we have developed a nanobody-based PET imaging strategy for TNBC detection that targets MT1-MMP. A llama-derived library was screened against the catalytic domain of MT1-MMP and a panel of specific nanobodies were identified. After a deep characterization, two nanobodies were selected to be labeled with gallium-68 ((68)Ga). ImmunoPET imaging with both ([(68)Ga]Ga-NOTA-3TPA14 and [(68)Ga]Ga-NOTA-3CMP75) in a TNBC mouse model showed precise tumor-targeting capacity in vivo with high signal-to-background ratios. ((68)Ga)Ga-NOTA-3CMP75 exhibited higher tumor uptake compared to ((68)Ga)Ga-NOTA-3TPA14. Furthermore, imaging data correlated perfectly with the immunohistochemistry staining results. In conclusion, we found a promising candidate for nanobody-based PET imaging to be further investigated as a diagnostic tool in TNBC.