4.6 Article

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

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FRONTIERS IN MEDICINE
卷 9, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fmed.2022.1058455

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immunoPET; MT1-MMP; nanobodies; gallium-68; TNBC (triple negative breast cancer)

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In this study, a nanobody-based PET imaging strategy targeting MT1-MMP for TNBC detection was developed. ImmunoPET imaging with specific nanobodies showed precise tumor-targeting capacity in vivo with high signal-to-background ratios, and the imaging data correlated perfectly with the immunohistochemistry staining results. This research provides a promising candidate for nanobody-based PET imaging as a diagnostic tool in TNBC.
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 (Ga-68). ImmunoPET imaging with both ([Ga-68]Ga-NOTA-3TPA14 and [Ga-68]Ga-NOTA-3CMP75) in a TNBC mouse model showed precise tumor-targeting capacity in vivo with high signal-to-background ratios. (Ga-68)Ga-NOTA-3CMP75 exhibited higher tumor uptake compared to (Ga-68)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.

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