scholarly journals Gastrin-Releasing Peptide Receptor Antagonist [68Ga]RM2 PET/CT for Staging of Pre-Treated, Metastasized Breast Cancer

Cancers ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 6106
Author(s):  
Kerstin Michalski ◽  
Lars Kemna ◽  
Jasmin Asberger ◽  
Anca L. Grosu ◽  
Philipp T. Meyer ◽  
...  

Background: Positron emission tomography (PET)/computed tomography (CT) using the gastrin-releasing peptide receptor antagonist [68Ga]RM2 has shown to be a promising imaging method for primary breast cancer (BC) with positive estrogen receptor (ER) status. This study assessed tumor visualization by [68Ga]RM2 PET/CT in patients with pre-treated ER-positive BC and suspected metastases. Methods: This retrospective pilot study included eight female patients with initial ER-positive, pre-treated BC who underwent [68Ga]RM2 PET/CT. Most of these patients (seven out of eight; 88%) were still being treated with or had received endocrine therapy. [68Ga]RM2 PET/CTs were visually analyzed by two nuclear medicine specialists in consensus. Tumor manifestations were rated qualitatively (i.e., RM2-positive or RM2-negative) and quantitatively using the maximum standardized uptake value (SUVmax). SUVmax values were compared between the two subgroups (RM2-positive vs. RM2-negative). Results: Strong RM2 binding was found in all metastatic lesions of six patients (75%), whereas tracer uptake in all metastases of two patients (25%) was rated negative. Mean SUVmax of RM2-positive metastases with the highest SUVmax per patient (in lymph node and bone metastases; 15.8 ± 15.1 range: 3.7–47.8) was higher than mean SUVmax of the RM2-negative metastases with the highest SUVmax per patient (in bone metastases; 1.6 ± 0.1, range 1.5–1.7). Conclusions: Our data suggest that RM2 binding is maintained in the majority of patients with advanced disease stage of pre-treated ER-positive BC. Thus, [68Ga]RM2 PET/CT could support treatment decision in these patients, radiotherapy planning in oligometastatic patients or selection of patients for RM2 radioligand therapy. Further studies with larger patient cohorts are warranted to confirm these findings.

2015 ◽  
Vol 43 (5) ◽  
pp. 964-973 ◽  
Author(s):  
Theodosia Maina ◽  
Hendrik Bergsma ◽  
Harshad R. Kulkarni ◽  
Dirk Mueller ◽  
David Charalambidis ◽  
...  

Theranostics ◽  
2016 ◽  
Vol 6 (10) ◽  
pp. 1641-1650 ◽  
Author(s):  
Christian Stoykow ◽  
Thalia Erbes ◽  
Helmut R Maecke ◽  
Stefan Bulla ◽  
Mark Bartholomä ◽  
...  

Theranostics ◽  
2016 ◽  
Vol 6 (1) ◽  
pp. 104-117 ◽  
Author(s):  
Kristell L.S. Chatalic ◽  
Mark Konijnenberg ◽  
Julie Nonnekens ◽  
Erik de Blois ◽  
Sander Hoeben ◽  
...  

Peptides ◽  
2007 ◽  
Vol 28 (7) ◽  
pp. 1447-1452 ◽  
Author(s):  
Márcia Kauer-Sant’Anna ◽  
Ana Cristina Andreazza ◽  
Samira S. Valvassori ◽  
Márcio Rodrigo Martins ◽  
Luciana M. Barbosa ◽  
...  

2005 ◽  
Author(s):  
◽  
Christopher Todd Winkelmann

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Non-invasive imaging techniques have been recently developed to characterize animal models of disease. The overarching hypothesis of this work explores the use of three micro-imaging modalities, including Micro-CT, PET and SPECT, to characterize tumor anatomical progression, metabolism, bone lesion remodeling, and/or gastrin releasing peptide receptor expression in mouse models of metastatic melanoma and prostate and breast cancer bone metastasis. Micro-CT was shown to provide excellent anatomical information about tumor progression in several different tissues including lung, bone, and subcutaneous tissues. Micro-PET imaging demonstrated increased tumor metabolism in melanoma tumors, but was not able to discern bone remodeling in breast cancer bone lesions. Micro-SPECT imaging demonstrated gastrin-releasing peptide receptor expression in a prostate cancer bone metastasis model. The results from this work demonstrate the ability of micro-imaging technologies to non-invasively probe mouse models of disease to obtain information in vivo that is not possible with ex vivo experimental techniques.


2019 ◽  
Vol 62 (12) ◽  
pp. 843-849
Author(s):  
Drishty Satpati ◽  
Kusum Vats ◽  
Rohit Sharma ◽  
Mythili Kameswaran ◽  
Haladhar Dev Sarma ◽  
...  

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