2021
DOI: 10.1038/s41598-021-83662-7
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A bladder cancer patient-derived xenograft displays aggressive growth dynamics in vivo and in organoid culture

Abstract: Bladder cancer is among the most prevalent cancers worldwide. Currently, few bladder cancer models have undergone thorough characterization to assess their fidelity to patient tumors, especially upon propagation in the laboratory. Here, we establish and molecularly characterize CoCaB 1, an aggressive cisplatin-resistant muscle-invasive bladder cancer patient-derived xenograft (PDX) and companion organoid system. CoCaB 1 was a subcutaneous PDX model reliably transplanted in vivo and demonstrated an acceleration… Show more

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Cited by 13 publications
(6 citation statements)
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“…This finding demonstrates the heterogeneity of eIF4E S209 phosphorylation across models of bladder cancer. We subsequently created organoid models from 1 low eIF4E phosphorylation model (CoCaB1) ( 35 ) and 2 high eIF4E phosphorylation models (CoCaB14.1 and TM01029), which recapitulated the in vivo models ( Supplemental Figure 5 ). These low-passage organoid lines were treated with increasing concentrations of eFT508 (0.01–10 μM), validated for target inhibition ( Figure 3C ), and measured for cell viability.…”
Section: Resultsmentioning
confidence: 99%
“…This finding demonstrates the heterogeneity of eIF4E S209 phosphorylation across models of bladder cancer. We subsequently created organoid models from 1 low eIF4E phosphorylation model (CoCaB1) ( 35 ) and 2 high eIF4E phosphorylation models (CoCaB14.1 and TM01029), which recapitulated the in vivo models ( Supplemental Figure 5 ). These low-passage organoid lines were treated with increasing concentrations of eFT508 (0.01–10 μM), validated for target inhibition ( Figure 3C ), and measured for cell viability.…”
Section: Resultsmentioning
confidence: 99%
“…Lee et al and Chen et al used an RNA sequencing approach to distinguish normal/tumor pairs in patients with urothelial cancer (GSE159824 and GSE133624) [ 122 , 123 ]. Many scientists have generated their data from patient-derived xenografts (PDXs) and organoids (GSE155007 and GSE134292) [ 124 ]. Such research also includes GSE77952 [ 125 ], GSE125286, GSE111933 [ 126 ], GSE68020, GSE129441 [ 127 ], and GSE103990 [ 128 ].…”
Section: Omics Datasets Available In Ucmentioning
confidence: 99%
“…Patient-derived xenografts (PDXs) are established by directly transplanting tumor tissues from patients into immunodeficient mice, and are the most accurate in vivo model for drug screening [ 7 ]. However, the establishment of PDXs is expensive and time-consuming, which severely limits their clinical applications [ 8 ].…”
Section: Introductionmentioning
confidence: 99%