Marcazzan, S. ; Braz Carvalho, M.J.* ; Konrad, M.* ; Strangmann, J.* ; Tenditnaya, A. ; Baumeister, T.* ; Schmid, R.M.* ; Wester, H.J.* ; Ntziachristos, V. ; Gorpas, D. ; Wang, T.C.* ; Schottelius, M.* ; Quante, M.*
CXCR4 peptide-based fluorescence endoscopy in a mouse model of Barrett's esophagus.
EJNMMI Res. 12:2 (2022)
BACKGROUND: Near-infrared (NIR) fluorescence imaging has been emerging as a promising strategy to overcome the high number of early esophageal adenocarcinomas missed by white light endoscopy and random biopsy collection. We performed a preclinical assessment of fluorescence imaging and endoscopy using a novel CXCR4-targeted fluorescent peptide ligand in the L2-IL1B mouse model of Barrett's esophagus. METHODS: Six L2-IL1B mice with advanced stage of disease (12-16 months old) were injected with the CXCR4-targeted, Sulfo-Cy5-labeled peptide (MK007), and ex vivo wide-field imaging of the whole stomach was performed 4 h after injection. Before ex vivo imaging, fluorescence endoscopy was performed in three L2-IL1B mice (12-14 months old) by a novel imaging system with two L2-IL1B mice used as negative controls. RESULTS: Ex vivo imaging and endoscopy in L2-IL1B mice showed that the CXCR4-targeted MK007 accumulated mostly in the dysplastic lesions with a mean target-to-background ratio > 2. The detection of the Sulfo-Cy5 signal in dysplastic lesions and its co-localization with CXCR4 stained cells by confocal microscopy further confirmed the imaging results. CONCLUSIONS: This preliminary preclinical study shows that CXCR4-targeted fluorescence endoscopy using MK007 can detect dysplastic lesions in a mouse model of Barrett's esophagus. Further investigations are needed to assess its use in the clinical setting.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Animal Models ; Barrett’s Esophagus ; Cxcr4 ; Dysplasia ; Endoscopy ; Esophageal Cancer ; Fluorescence Imaging ; Molecular Imaging ; Peptide; Cancer; Expression; Pet
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2022
Prepublished im Jahr
HGF-Berichtsjahr
2022
ISSN (print) / ISBN
2191-219X
e-ISSN
2191-219X
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 12,
Heft: 1,
Seiten: ,
Artikelnummer: 2
Supplement: ,
Reihe
Verlag
Springer
Verlagsort
One New York Plaza, Suite 4600, New York, Ny, United States
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30205 - Bioengineering and Digital Health
Forschungsfeld(er)
Enabling and Novel Technologies
PSP-Element(e)
G-505500-001
Förderungen
Technische Universität München
Deutsche Forschungsgemeinschaft
Copyright
Erfassungsdatum
2022-05-30