Literature DB >> 22079037

[18F]-fluoroestradiol quantitative PET imaging to differentiate ER+ and ERα-knockdown breast tumors in mice.

Michel Paquette1, René Ouellet, Mélanie Archambault, Étienne Croteau, Roger Lecomte, François Bénard.   

Abstract

INTRODUCTION: The purpose of this study was to develop a noninvasive model in tumor-bearing mice to investigate the use of 16α-[(18)F]fluoro-17β-estradiol (FES) positron emission tomography (PET) imaging as a tool to discriminate between tumors having different estrogen receptor (ER) α status.
METHODS: MC7-L1 and MC4-L2 murine mammary adenocarcinoma cell lines (ER+) received a small hairpin RNA targeting the ERα gene by lentiviral infection. In vitro assessment of ERα levels of the new cell lines (MC7-L1 and MC4-L2 ERα-knockdown; ERαKD), compared to the parental cell lines, was performed by immunoblotting (-75% ERα protein) and binding assays (-50% estrogen binding). These cell lines were implanted subcutaneously in Balb/c mice and allowed to grow up to a volume of at least 20 mm(3). FES and [(18)F]fluorodeoxyglucose (FDG) PET images were acquired to measure FES and FDG uptake in the various tumors.
RESULTS: FES uptake as assessed by PET imaging was 1.06±0.21 percent injected dose per gram of tissue (%ID/g) for MC7-L1 tumors and 0.47±0.08 %ID/g for MC7-L1 ERαKD tumors. MC4-L2 tumors had a FES uptake of 1.03±0.30 %ID/g, whereas its ERαKD equivalent was 0.51±0.19 %ID/g. Each ERαKD tumor had a significantly lower %ID/g value, by ~50%, than its ER+ counterpart. Biodistribution studies confirmed these findings and gave %ID/g values that were not significantly different from PET imaging data. FDG PET showed no significant uptake difference between the ER+ and ERαKD tumors, indicating that the metabolic phenotype of the ERαKD cell lines was not altered.
CONCLUSION: FES PET imaging was able to reliably differentiate between tumors having differences in their ERα expression in vivo, in a mouse model. Quantitative data obtained by FES PET were in concordance with biodistribution studies and in vitro assays. It is concluded that FES PET imaging can likely be used to monitor subtle ER status changes during the course of hormone therapy.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22079037     DOI: 10.1016/j.nucmedbio.2011.06.004

Source DB:  PubMed          Journal:  Nucl Med Biol        ISSN: 0969-8051            Impact factor:   2.408


  7 in total

Review 1.  Receptor Occupancy Imaging Studies in Oncology Drug Development.

Authors:  Ingrid J G Burvenich; Sagun Parakh; Adam C Parslow; Sze Ting Lee; Hui K Gan; Andrew M Scott
Journal:  AAPS J       Date:  2018-03-08       Impact factor: 4.009

2.  Improved Estrogen Receptor Assessment by PET Using the Novel Radiotracer 18F-4FMFES in Estrogen Receptor-Positive Breast Cancer Patients: An Ongoing Phase II Clinical Trial.

Authors:  Michel Paquette; Éric Lavallée; Serge Phoenix; René Ouellet; Helena Senta; Johan E van Lier; Brigitte Guérin; Roger Lecomte; Éric E Turcotte
Journal:  J Nucl Med       Date:  2017-08-10       Impact factor: 10.057

3.  Assessment of the novel estrogen receptor PET tracer 4-fluoro-11β-methoxy-16α-[(18)F]fluoroestradiol (4FMFES) by PET imaging in a breast cancer murine model.

Authors:  Michel Paquette; Serge Phoenix; René Ouellet; Réjean Langlois; Johan E van Lier; Eric E Turcotte; Francois Bénard; Roger Lecomte
Journal:  Mol Imaging Biol       Date:  2013-10       Impact factor: 3.488

4.  PET Imaging of Estrogen Receptors Using 18F-Based Radioligands.

Authors:  Manoj Kumar; Kelley Salem; Justin J Jeffery; Amy M Fowler
Journal:  Methods Mol Biol       Date:  2022

5.  Quantitative hormone therapy follow-up in an ER+/ERαKD mouse tumor model using FDG and [11C]-methionine PET imaging.

Authors:  Michel Paquette; Sébastien Tremblay; Francois Bénard; Roger Lecomte
Journal:  EJNMMI Res       Date:  2012-11-09       Impact factor: 3.138

Review 6.  Preclinical Applications of Multi-Platform Imaging in Animal Models of Cancer.

Authors:  Natalie J Serkova; Kristine Glunde; Chad R Haney; Mohammed Farhoud; Alexandra De Lille; Elizabeth F Redente; Dmitri Simberg; David C Westerly; Lynn Griffin; Ralph P Mason
Journal:  Cancer Res       Date:  2020-12-01       Impact factor: 13.312

7.  Progesterone-targeted magnetic resonance imaging probes.

Authors:  Taryn R Townsend; Georgette Moyle-Heyrman; Preeti A Sukerkar; Keith W MacRenaris; Joanna E Burdette; Thomas J Meade
Journal:  Bioconjug Chem       Date:  2014-07-25       Impact factor: 4.774

  7 in total

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