2017
DOI: 10.1038/s41598-017-12543-9
|View full text |Cite
|
Sign up to set email alerts
|

Microchamber Cultures of Bladder Cancer: A Platform for Characterizing Drug Responsiveness and Resistance in PDX and Primary Cancer Cells

Abstract: Precision cancer medicine seeks to target the underlying genetic alterations of cancer; however, it has been challenging to use genetic profiles of individual patients in identifying the most appropriate anti-cancer drugs. This spurred the development of patient avatars; for example, patient-derived xenografts (PDXs) established in mice and used for drug exposure studies. However, PDXs are associated with high cost, long development time and low efficiency of engraftment. Herein we explored the use of microflu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

2
25
0
6

Year Published

2018
2018
2023
2023

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 25 publications
(33 citation statements)
references
References 46 publications
2
25
0
6
Order By: Relevance
“…After the cells were patterned in collagen gel, the whole chip was submerged in medium for on-chip 3D cell culture. PDMS chambers have been proved to be suitable for 3D cell culture due to the oxygen permeability of PDMS 32 . The coverslip was also carefully slid aside for nutrient and oxygen exchange (Figure S2 ).…”
Section: Resultsmentioning
confidence: 99%
“…After the cells were patterned in collagen gel, the whole chip was submerged in medium for on-chip 3D cell culture. PDMS chambers have been proved to be suitable for 3D cell culture due to the oxygen permeability of PDMS 32 . The coverslip was also carefully slid aside for nutrient and oxygen exchange (Figure S2 ).…”
Section: Resultsmentioning
confidence: 99%
“…While PDX models have many advantages in preclinical bladder cancer research, their lengthy development time and variable take rates (in addition to other limitations described above) preclude many researchers from using them. To address this limitation, Gheibi et al [45] successfully established cultures of PDX-derived ellipsoids in microchambers, which could help to maintain these patient-derived cells for extended periods of time. Ellipsoids demonstrated considerable heterogeneity in drug susceptibility, reflective of heterogeneity that may be seen in vivo [45].…”
Section: Patient-derived Xenografts (Pdx) Provide An Additional In VImentioning
confidence: 99%
“…To address this limitation, Gheibi et al [45] successfully established cultures of PDX-derived ellipsoids in microchambers, which could help to maintain these patient-derived cells for extended periods of time. Ellipsoids demonstrated considerable heterogeneity in drug susceptibility, reflective of heterogeneity that may be seen in vivo [45].…”
Section: Patient-derived Xenografts (Pdx) Provide An Additional In VImentioning
confidence: 99%
“…The common prediction model of tumor drug resistance has been used in recent years to establish a biological model based on tumor tissues such as transplanting tumor tissue or purified tumor cells into nude mice to observe the chemotherapeutic responses. However, due to the low success rate, high costs and time required to establish the biological model, the clinical application of this method is limited . Cell line models are another essential preclinical tumor model that can only be used to examine drug sensitivity by evaluating of the metabolic activity of cells through methyl tetrazolium (MTT) assays, as a reflection of cell viability.…”
Section: Introductionmentioning
confidence: 99%
“…However, due to the low success rate, high costs and time required to establish the biological model, the clinical application of this method is limited . Cell line models are another essential preclinical tumor model that can only be used to examine drug sensitivity by evaluating of the metabolic activity of cells through methyl tetrazolium (MTT) assays, as a reflection of cell viability. RNA sequencing is another commonly used method to predict drug sensitivity by detecting multiple drug resistance genes.…”
Section: Introductionmentioning
confidence: 99%