EMT, Stemness, and Drug Resistance in Biological Context: A 3D Tumor Tissue/In Silico Platform for Analysis of Combinatorial Treatment in NSCLC with Aggressive KRAS-Biomarker Signatures.
3D lung tumor tissue models
EMT
KRAS biomarker signatures
boolean in silico models
drug resistance
invasion
stemness
targeted combination therapy
Journal
Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829
Informations de publication
Date de publication:
27 Apr 2022
27 Apr 2022
Historique:
received:
19
01
2022
revised:
09
04
2022
accepted:
15
04
2022
entrez:
14
5
2022
pubmed:
15
5
2022
medline:
15
5
2022
Statut:
epublish
Résumé
Epithelial-to-mesenchymal transition (EMT) is discussed to be centrally involved in invasion, stemness, and drug resistance. Experimental models to evaluate this process in its biological complexity are limited. To shed light on EMT impact and test drug response more reliably, we use a lung tumor test system based on a decellularized intestinal matrix showing more in vivo-like proliferation levels and enhanced expression of clinical markers and carcinogenesis-related genes. In our models, we found evidence for a correlation of EMT with drug resistance in primary and secondary resistant cells harboring
Identifiants
pubmed: 35565305
pii: cancers14092176
doi: 10.3390/cancers14092176
pmc: PMC9099837
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : BMBF (Alternative methods to animal experiments)
ID : 031L0129A-C
Organisme : Bavarian Research Foundation
ID : AZ-1365-18
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