Dataset Information

Expression data from LCM captured prostate cancer cells

ABSTRACT: The prostate represents a complex mix of cell types and there is a need to analyze distinct cell populations to better understand their potential interactions. This study of cell-type specific gene expression patterns will contribute to understanding of how tumor epithelial cells may be affected by adjacent interstitial stromal cells within the tumor microenvirnonment. LCM and microarray analysis were used to identify gene expression patterns in prostate cancer epithelial and interstitial stromal cell populations. More than 500 genes whose expression levels were significantly different in epithelial cells versus adjacent stromal tissue were identified. Several chemokines and growth factors were more highly expressed in prostate cancer stromal cells while several transcription factors and receptors were more highly expressed in epithelial cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE20758 | GEO | 2010/04/10

SECONDARY ACCESSION(S): PRJNA125047

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:TMPRSS2-ERG gene fusions that are frequently identified in prostate cancer can be generated either through chromosomal translocation or via interstitial deletion. The latter mechanism deletes an interstitial region of ~3Mb and it remains largely unanswered whether genes deleted within this region contribute to prostate cancer. By characterizing two knockin mouse models recapitulating TMPRSS2-ERG fusions with or without the interstitial deletion, we found that only those with deletion developed poorly differentiated adenocarcinomas with epithelial-to-mesenchymal transition, when under a Pten-null background. We identified several interstitial genes, including ETS2 and BACE2, whose reduced expression correlates with worse disease-free survival and lethal disease. By using an Ets2 conditional knockout allele, we demonstrated that loss of one copy of Ets2 was sufficient for prostate cancer progression when under a Pten-null background. Collectively, our data suggest that ETS2 is a prostate tumor suppressor and haploinsufficiency of one or more interstitial genes contributes to prostate cancer progression. Genotyped male mice were euthanized at 12 months of age and prostates isolated. Prostates were fixed overnight in 10% formalin and stored in 70% ethanol until tissue processing and paraffin embedding. Serial sections were cut from paraffin blocks which were stained for H&E and analyzed by a trained rodent histopathologist. Using these sections as a visual guide for specific types of lesions, the sequential sections were stained with hematoxylin and used for laser capture microdissection on ArcturusXT system. Epithelial cells within notable high grade prostate intraepithelial neoplasia (HG-PIN) lesions were microdissected from 3 mice from each corresponding genotype. In addition, poorly differentiated adenocarcinomas from PbCre;T-3Mb-Erg/+;PtenL/L mice were also dissected. RNA was isolated from the microdissected tissue using the Qiagen RNeasy FFPE kit and subjected to Nugen Amplification before microarray analysis on an Affymetrix Mouse Gene 2.0 ST chip.

Dataset Information

Expression data from LCM captured prostate cancer cells

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets