Radiosynthesis and biological evaluation of 18F-labeled bispecific heterodimer targeted dual gastrin-releasing peptide receptor and prostate-specific membrane antigen for prostate cancer imaging

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Shimin Ye ◽  
Hongsheng Li ◽  
Kongzhen Hu ◽  
Li Li ◽  
Jiawei Zhong ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Imaging ◽  
Biological Evaluation ◽  
Prostate Specific Membrane Antigen ◽  
Peptide Receptor ◽  
Gastrin Releasing Peptide ◽  
Specific Membrane

scholarly journals Gastrin-Releasing Peptide Receptor in Low Grade Prostate Cancer: Can It Be a Better Predictor Than Prostate-Specific Membrane Antigen?

2021 ◽  
Vol 11 ◽  
Author(s):  
Pinuccia Faviana ◽  
Laura Boldrini ◽  
Paola Anna Erba ◽  
Iosè Di Stefano ◽  
Francesca Manassero ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Molecular Mechanisms ◽  
Tissue Expression ◽  
Low Grade ◽  
Prostate Specific Membrane Antigen ◽  
Peptide Receptor ◽  
Gastrin Releasing Peptide ◽  
Formalin Fixed Paraffin Embedded ◽  
Specific Membrane ◽  
Number Of Cells

The aim of the present study was to evaluate whether prostate cancer (PC) patients can be accurately classified on the bases of tissue expression of gastrin-releasing peptide receptor (GRPR) and prostate-specific membrane antigen (PSMA). This retrospective study included 28 patients with PC. Formalin-fixed paraffin-embedded samples were used for diagnosis. Immunohistochemistry staining techniques were used to evaluate PSMA and GRPR expression (both number of cells expressed and % of area stained). To assess the independent associations among selected variables, a multi-dimensional scaling (MDS) analysis was used. It was found that the PSMA expression was inversely correlated with GRPR expression. Only the number of cells expressing GRPR was significantly related to the Gleason score. Both the percentage of area expressing GRPR and the number of cells expressing PSMA were close to reaching significance at the 0.05 level. MDS provided a map of the overall, independent association confirming that GRPR and PSMA represent inversely correlated measures of the same dimension. In conclusion, our data showed that GRPR expression should be evaluated in prostate biopsy specimens to improve our ability to detect PC with low grades at the earliest phases of development. Considering that GRPRs appear to be directly involved in the mechanisms of tumor proliferation, advancements in nuclear medicine radiotherapy can focus on this receptor to improve the therapeutic approach to PC. Further studies in our laboratory will investigate the molecular mechanisms of activation based on GRPR.

59. Prostate cancer imaging with 99Tcm-J591 monoclonal antibody against prostate specific membrane antigen

2001 ◽  
Vol 22 (4) ◽  
pp. 454
Author(s):  
K. E. Britton ◽  
S. J. Gordon ◽  
A. Canizales ◽  
U. Otite ◽  
S. J. Mather ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Monoclonal Antibody ◽  
Cancer Imaging ◽  
Prostate Specific Membrane Antigen ◽  
Specific Membrane

scholarly journals Preclinical Evaluation of 18 F-PSMA-1007, a New Prostate-Specific Membrane Antigen Ligand for Prostate Cancer Imaging

2016 ◽  
Vol 58 (3) ◽  
pp. 425-431 ◽  
Author(s):  
Jens Cardinale ◽  
Martin Schäfer ◽  
Martina Benešová ◽  
Ulrike Bauder-Wüst ◽  
Karin Leotta ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Imaging ◽  
Prostate Specific Membrane Antigen ◽  
Preclinical Evaluation ◽  
Specific Membrane

PSMA-targeted melanin-like nanoparticles as a multifunctional nanoplatform for prostate cancer theranostics

2021 ◽  
Author(s):  
Liqun Dai ◽  
Guohua Shen ◽  
Peng Yang ◽  
Hong Wang ◽  
Yuanyuan Wang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Tumor Cells ◽  
Cancer Imaging ◽  
Prostate Tumor ◽  
Prostate Specific Membrane Antigen ◽  
Promising Target ◽  
Prostate Tumor Cells ◽  
Cancer Theranostics ◽  
Specific Membrane

Prostate-specific membrane antigen (PSMA) is highly expressed on the surface of most prostate tumor cells and is considered a promising target for prostate cancer imaging and treatment. It is possible...

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