Imaging of Preclinical Endometrial Cancer Models for Monitoring Tumor Progression and Response to Targeted Therapy.
PDX models
computed tomography
endometrial cancer
gynecological cancer
imaging biomarkers
magnetic resonance imaging
mouse models
optical imaging
positron emission tomography
preclinical imaging
Journal
Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829
Informations de publication
Date de publication:
27 Nov 2019
27 Nov 2019
Historique:
received:
30
10
2019
revised:
22
11
2019
accepted:
25
11
2019
entrez:
1
12
2019
pubmed:
1
12
2019
medline:
1
12
2019
Statut:
epublish
Résumé
Endometrial cancer is the most common gynecologic malignancy in industrialized countries. Most patients are cured by surgery; however, about 15% of the patients develop recurrence with limited treatment options. Patient-derived tumor xenograft (PDX) mouse models represent useful tools for preclinical evaluation of new therapies and biomarker identification. Preclinical imaging by magnetic resonance imaging (MRI), positron emission tomography-computed tomography (PET-CT), single-photon emission computed tomography (SPECT) and optical imaging during disease progression enables visualization and quantification of functional tumor characteristics, which may serve as imaging biomarkers guiding targeted therapies. A critical question, however, is whether the in vivo model systems mimic the disease setting in patients to such an extent that the imaging biomarkers may be translatable to the clinic. The primary objective of this review is to give an overview of current and novel preclinical imaging methods relevant for endometrial cancer animal models. Furthermore, we highlight how these advanced imaging methods depict pathogenic mechanisms important for tumor progression that represent potential targets for treatment in endometrial cancer.
Identifiants
pubmed: 31783595
pii: cancers11121885
doi: 10.3390/cancers11121885
pmc: PMC6966645
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Subventions
Organisme : Trond Mohn Foundation
ID : BFS2018TMT06
Organisme : Kreftforeningen
ID : 190202
Organisme : Norges Forskningsråd
ID : 273280
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