PURPOSE: Somatostatin receptors (SSTR) are known for an overexpression in gastroenteropancreatic neuroendocrine tumours (GEP-NET). The aim of the present study was to find out if the receptor density predicted by the semi-quantitative parameters generated from the static positron emission tomography (PET/CT) correlated with the in vitro immunohistochemistry using a novel rabbit monoclonal anti-SSTR2A antibody (clone UMB-1) for specific SSTR2A immunohistochemistry and polyclonal antibodies for SSTR1 and 3-5. METHODS: Overall 14 surgical specimens generated from 34 histologically documented GEP-NET patients were correlated with the preoperative (68)Ga-DOTA-NOC PET/CT. Quantitative assessment of the receptor density was done using the immunoreactive score (IRS) of Remmele and Stegner; the additional 4-point IRS classification for immunohistochemistry and standardized uptake values (SUV(max) and SUV(mean)) were used for PET/CT. RESULTS: The IRS for SSTR2A and SSTR5 correlated highly significant with the SUV(max) on the PET/CT (p < 0.001; p < 0.05) and the IRS for SSTR2A with the SUV(mean) (p < 0.013). The level of SSTR2A score correlated significantly with chromogranin A staining and indirectly to the tumour grading. CONCLUSION: The highly significant correlation between SSTR2A and SSTR5 and the SUV(max) on the (68)Ga-DOTA-NOC PET/CT scans is concordant with the affinity profile of (68)Ga-DOTA-NOC to the SSTR subtypes and demonstrates the excellent qualification of somatostatin analogues in the diagnostics of NET. This study correlating somatostatin receptor imaging using (68)Ga-DOTA-NOC PET/CT with immunohistochemically analysed SSTR also underlines the approval of therapy using somatostatin analogues, follow-up imaging as well as radionuclide therapy.
PURPOSE: Somatostatin receptors (SSTR) are known for an overexpression in gastroenteropancreatic neuroendocrine tumours (GEP-NET). The aim of the present study was to find out if the receptor density predicted by the semi-quantitative parameters generated from the static positron emission tomography (PET/CT) correlated with the in vitro immunohistochemistry using a novel rabbit monoclonal anti-SSTR2A antibody (clone UMB-1) for specific SSTR2A immunohistochemistry and polyclonal antibodies for SSTR1 and 3-5. METHODS: Overall 14 surgical specimens generated from 34 histologically documented GEP-NET patients were correlated with the preoperative (68)Ga-DOTA-NOC PET/CT. Quantitative assessment of the receptor density was done using the immunoreactive score (IRS) of Remmele and Stegner; the additional 4-point IRS classification for immunohistochemistry and standardized uptake values (SUV(max) and SUV(mean)) were used for PET/CT. RESULTS: The IRS for SSTR2A and SSTR5 correlated highly significant with the SUV(max) on the PET/CT (p < 0.001; p < 0.05) and the IRS for SSTR2A with the SUV(mean) (p < 0.013). The level of SSTR2A score correlated significantly with chromogranin A staining and indirectly to the tumour grading. CONCLUSION: The highly significant correlation between SSTR2A and SSTR5 and the SUV(max) on the (68)Ga-DOTA-NOC PET/CT scans is concordant with the affinity profile of (68)Ga-DOTA-NOC to the SSTR subtypes and demonstrates the excellent qualification of somatostatin analogues in the diagnostics of NET. This study correlating somatostatin receptor imaging using (68)Ga-DOTA-NOC PET/CT with immunohistochemically analysed SSTR also underlines the approval of therapy using somatostatin analogues, follow-up imaging as well as radionuclide therapy.
Authors: M Papotti; M Bongiovanni; M Volante; E Allìa; S Landolfi; L Helboe; M Schindler; S L Cole; G Bussolati Journal: Virchows Arch Date: 2002-03-23 Impact factor: 4.064
Authors: Damian Wild; Jörg S Schmitt; Mihaela Ginj; Helmut R Mäcke; Bert F Bernard; Eric Krenning; Marion De Jong; Sandra Wenger; Jean-Claude Reubi Journal: Eur J Nucl Med Mol Imaging Date: 2003-08-21 Impact factor: 9.236
Authors: S Schulz; S Schulz; J Schmitt; D Wiborny; H Schmidt; S Olbricht; W Weise; A Roessner; C Gramsch; V Höllt Journal: Clin Cancer Res Date: 1998-09 Impact factor: 12.531
Authors: Mila V Todorović-Tirnanić; Milan M Gajić; Vladimir B Obradović; Richard P Baum Journal: Cancer Biother Radiopharm Date: 2014-01-22 Impact factor: 3.099
Authors: Lino M Sawicki; Cornelius Deuschl; Karsten Beiderwellen; Verena Ruhlmann; Thorsten D Poeppel; Philipp Heusch; Harald Lahner; Dagmar Führer; Andreas Bockisch; Ken Herrmann; Michael Forsting; Gerald Antoch; Lale Umutlu Journal: Eur Radiol Date: 2017-04-24 Impact factor: 5.315