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Transcriptomic analysis of patient-derived ex vivo models of pancreatic cancer

ABSTRACT: The aim of this study is to compare the transcriptomic profiles of various ex vivo models of pancreatic cancer. First, primary tumours and their corresponding xenografts in nude mice were analysed by RNA-seq. Monocultures of pancreatic cancer cells derived from the xenografts were then prepared as 2D monolayers, Matrigel-embedded organoids, spheres in suspension and 3D cultures in self-assembling peptide amphiphile (PA) hydrogels. Seven-day cultures were then analysed by RNA-seq. The results suggest that all ex vivo monocultures retain patient-specific transcriptional profiles, especially cancer stem cell signatures, while being deficient in the expression of stromal components such as the core matrisome. Correlations with the primary tumours were generally higher in PA hydrogels than organoids. Biased gene expression signatures were identified in certain models. This is the first study to explore the transcriptomic signatures of four different ex vivo models matched to their primary tumours of origin.

ORGANISM(S): Homo sapiens

PROVIDER: GSE139184 | GEO | 2021/07/03

REPOSITORIES: GEO

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Project description: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. 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.

Project description: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. 20 samples were analysed using Illumina Infinium HM27K Bead arrays. This consisted of 10 matched primary tumour and low passage xenografts. Of which, 5 were prednisolone good responders and 5 were prednisolone poor responders

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Transcriptomic analysis of patient-derived ex vivo models of pancreatic cancer

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