GSE58586 | Datasets2Tools

Characterizing the Chemoresistant Ovarian Cancer Population using the Heterogeneous PDX

Transcriptomics Dataset

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General Information

Accession	GSE58586
Title	Characterizing the Chemoresistant Ovarian Cancer Population using the Heterogeneous PDX
Description	The patient-derived xenograft (PDX) model retains the heterogeneity of patient tumors, allowing a means to not only examine efficacy of a therapy across a population, but also study crucial aspects of cancer biology in response to treatment. Herein we describe the development and characterization of an ovarian-PDX model in order to study the development of chemoresistance. We demonstrate that PDX tumors are not simply composed of tumor-initiating cells, but recapitulate the original tumors heterogeneity, oncogene expression profiles, and clinical response to chemotherapy. Combined carboplatin/paclitaxel treatment of PDX tumors enriches the cancer stem cell populations, but persistent tumors are not entirely composed of these populations. RNA-Seq analysis of treated PDX tumors compared to untreated tumors demonstrates a consistently contrasting genetic profile after therapy, suggesting similar, but few, pathways are mediating chemoresistance. The pathways most significantly altered included Protein Kinase A signaling, GNRH signaling, and sphingosine-1-phosphate signaling. Pathways and genes identified by this methodology represent novel approaches to targeting the chemoresistant population in ovarian cancer
Landing Page	https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE58586
Repository	Gene Expression Omnibus

Tools used to analyze the dataset

Dataset Accession

ARCHS4

Published September 2017

ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...

4645

Clustergrammer

Published October 2017

Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps

4645

Canned Analyses generated with the dataset

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