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| Status |
Public on May 14, 2014 |
| Title |
Stability of gene expression and epigenetic profiles highlights the utility of patient-derived paediatric acute lymphoblastic leukaemia xenografts for investigatoing molecular mechanisms of drug resistance (expression) |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
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| Summary |
Background: Patient-derived tumour xenografts are an attractive model for preclinical testing of anti-cancer drugs. Insights into tumour biology and biomarkers predictive of responses to chemotherapeutic drugs can also be gained from investigating xenograft models. As a first step towards examining the equivalence of epigenetic profiles between xenografts and primary tumours in paediatric leukaemia, we performed genome-scale DNA methylation and gene expression profiling on a panel of 10 paediatric B-cell precursor acute lymphoblastic leukaemia (BCP-ALL) tumours that were stratified by prednisolone response. Results: We found high correlations in DNA methylation and gene expression profiles between matching primary and xenograft tumour samples with Pearson’s correlation coefficients ranging between 0.85 and 0.98. In order to demonstrate the potential utility of epigenetic analyses in BCPALL xenografts, we identified DNA methylation biomarkers that correlated with prednisolone responsiveness of the original tumour samples. Differential methylation of CAPS2, ARHGAP21, ARX and HOXB6 were confirmed by locus specific analysis. We identified 20 genes showing an inverse relationship between DNA methylation and gene expression in association with prednisolone response. Pathway analysis of these genes implicated apoptosis, cell signalling and cell structure networks in prednisolone responsiveness. Conclusions: The findings of this study confirm the stability of epigenetic and gene expression profiles of paediatric BCP-ALL propagated in mouse xenograft models. Further, our preliminary investigation of prednisolone sensitivity highlights the utility of mouse xenograft models for preclinical development of novel drug regimens with parallel investigation of underlying gene expression and epigenetic responses associated with novel drug responses.
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| Overall design |
20 samples were analysed using Illumina Infinium WG-6 V3 Expression Chips. This consisted of 10 matched primary tumour and low passage xenografts. Of which, 5 were prednisolone good responders and 5 were prednisolone poor responders. Two Samples were eliminated due to not passing qc.
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| Contributor(s) |
Bhadri V, Wong NC, Lock RB |
| Citation(s) |
24885906 |
| Submission date |
May 08, 2014 |
| Last update date |
Feb 18, 2019 |
| Contact name |
Nicholas C Wong |
| E-mail(s) |
nick.wong@monash.edu
|
| Organization name |
Monash University
|
| Department |
Monash Bioinformatics Platform, Central Clinical School
|
| Street address |
Wellington Road
|
| City |
Clayton |
| State/province |
Victoria |
| ZIP/Postal code |
3800 |
| Country |
Australia |
| |
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| Platforms (1) |
| GPL6884 |
Illumina HumanWG-6 v3.0 expression beadchip |
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| Samples (18)
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| This SubSeries is part of SuperSeries: |
| GSE57633 |
Stability of gene expression and epigenetic profiles highlights the utility of patient-derived paediatric acute lymphoblastic leukaemia xenografts for investigatoing molecular mechanisms of drug resistance |
|
| Relations |
| BioProject |
PRJNA247370 |
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