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LNCAP xenograft prostate cancer progression model in NOD-SCID mice

ABSTRACT: LNCAP xenograft prostate cancer progression model in NOD-SCID mice

PROVIDER: PRJNA872388 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR21170900_1.fastq.gz	Fastqsanger.gz
	SRR21170900_2.fastq.gz	Fastqsanger.gz
	SRR21170901_1.fastq.gz	Fastqsanger.gz
	SRR21170901_2.fastq.gz	Fastqsanger.gz
	SRR21170902_1.fastq.gz	Fastqsanger.gz

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LNCAP xenograft prostate cancer progression model in NOD-SCID mice

Project description:Xenografts are useful in vivo tumour models for investigating cancer progression, therapeutic responses and predicting anti-cancer drug response in patients with cancer of a similar phenotype. We have generated bulk RNA-seq data from LNCaP xenografts of a large and well-annotated prostate cancer progression study, investigating responsiveness and subsequent resistance to therapies targeting the androgen receptor (AR). LNCaP xenograft tumour establishment and initial growth are dependent on androgens in male mice (PRE-CX / pre-castration group). Upon castration, AR activity and tumour growth are suppressed (POST-CX / post-castration group), however, this initial responsiveness to castration reproducibly gives way to castration-resistance (CRPC / castration-resistant prostate cancer). Further treatment of CRPC with the AR targeting drug enzalutamide (ENZ) initially provides a therapeutic response (ENZ Sensitive; ENZS), however, resistance emerges in time (ENZ Resistant; ENZR).

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The NOD/SCID Xenograft Model Provides Clinically-Relevant Insights into Glucocorticoid-Induced Gene Expression in Childhood B-Cell Precursor Acute Lymphoblastic Leukemia

Project description:Introduction. Glucocorticoids are critical drugs used to treat acute lymphoblastic leukemia, and response to glucocorticoids is highly predictive of outcome. Here we report a study evaluating the NOD/SCID xenograft mouse model to investigate glucocorticoid-induced gene expression. Methods. NOD/SCID mice were inoculated with ALL-3, a glucocorticoid-sensitive xenograft, and when highly engrafted were randomised to either dexamethasone 15mg/kg or vehicle control IP. Cells were harvested at 0, 8, 24 or 48 hours thereafter, RNA was extracted and hybridised onto Illumina WG-6_V3 chips. Results. The 8 hour dexamethasone-treated timepoint had the highest number of significantly differentially expressed genes with minimal changes seen across the time-matched controls. Replicate analysis revealed that using data from 3 replicates instead of 4 resulted in excellent recovery scores of >0.9 at timepoints with high signal. When assessed at the level of pathways, gene expression changes in the 8 hour xenograft samples were similar to patients treated with glucocorticoids. Conclusions. The NOD/SCID xenograft mouse model provides a reproducible experimental model system in which to investigate clinically-relevant mechanisms of in vivo glucocorticoid-induced gene regulation in ALL; the 8 hour timepoint provides the highest number of significantly differentially expressed genes; time-matched controls are redundant and excellent recovery scores can be obtained with 3 replicates. At 0, 8, 24 or 48 hours, NOD/SCID xenograft mice were treated with vehicle control, or dexamethasone. We used 4 biological replicates per time point (3 at the 48hour time point), each of which went onto an Illumina HumanWG-6_V3_0_R1_11282955_A microarray. Samples from each of the 7 groups were divided across a total of 5 microarray slides

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