Conditional reprogramming: Modeling urological cancer and translation to clinics.
conditional reprogramming
patient-derived model
precision medicine
urological cancer
Journal
Clinical and translational medicine
ISSN: 2001-1326
Titre abrégé: Clin Transl Med
Pays: United States
ID NLM: 101597971
Informations de publication
Date de publication:
Jun 2020
Jun 2020
Historique:
received:
10
04
2020
revised:
19
05
2020
accepted:
21
05
2020
pubmed:
9
6
2020
medline:
9
6
2020
entrez:
9
6
2020
Statut:
ppublish
Résumé
Patient-derived models, including cell models (organoids and conditionally reprogrammed cells [CRCs]) and patient-derived xenografts, are urgently needed for both basic and translational cancer research. Conditional reprogramming (CR) technique refers to a co-culture system of primary human normal or tumor cells with irradiated murine fibroblasts in the presence of a Rho-associated kinase inhibitor to allow the primary cells to acquire stem cell properties and the ability to proliferate indefinitely in vitro without any exogenous gene or viral transfection. Considering its robust features, the CR technique may facilitate cancer research in many aspects. Under in vitro culturing, malignant CRCs can share certain genetic aberrations and tumor phenotypes with their parental specimens. Thus, tumor CRCs can promisingly be utilized for the study of cancer biology, the discovery of novel therapies, and the promotion of precision medicine. For normal CRCs, the characteristics of normal karyotype maintenance and lineage commitment suggest their potential in toxicity testing and regenerative medicine. In this review, we discuss the applications, limitations, and future potential of CRCs in modeling urological cancer and translation to clinics.
Identifiants
pubmed: 32508060
doi: 10.1002/ctm2.95
pmc: PMC7403683
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
e95Subventions
Organisme : Medical Science Advancement Program (Clinical Medicine) of Wuhan University
ID : TFLC2018002
Organisme : Fundamental Research Funds for the Central Universities
ID : 2042018kf1040
Informations de copyright
© 2020 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.
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