Dataset Information

Gene expression analysis of cervical cancer progression

ABSTRACT: Affymetrix-U133-plus2.0-based gene expression analysis of laser-captured epithelium from 128 cervical tissue specimens from women enrolled in SUCCEED Cervical cancer (CC) is the second most frequent cancer in women and the third leading cause of cancer death in women worldwide. Our analysis of normal, precancerous, and cancerous cervical tissue shows that progress of the disease is a cascade of increased DNA replication/repair and cell proliferation followed by substantial metabolic shifts. The data show a sharp decrease in estrogen receptor alpha (ERα) in tumor cells, and ranking tissue specimens by estrogen-responsive gene expression correlates remarkably closely with histological pathology. Johan, den Boon, Morgridge Institute for Research at University of Wisconsin-Madison Paul, Ahlquist, Howard Hughes Medical Institute and Morgridge Institute for Research at University of Wisconsin-Madison Nicolas, Wentzensen, National Cancer Institute

ORGANISM(S): Homo sapiens

PROVIDER: GSE63514 | GEO | 2015/07/01

SECONDARY ACCESSION(S): PRJNA268109

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:The expression of adipogenic genes is decreased in obesity and diabetes mellitus Samuel T. Nadler*, Jonathan P. Stoehr*, Kathryn L. Schueler*, Gene Tanimoto, Brian S. Yandell, and Alan D. Attie*,§ Departments of * Biochemistry, and Statistics and Horticulture, University of Wisconsin, Madison, WI, 53706; and Affymetrix, Inc., Santa Clara, CA 95051 Communicated by Neal L. First, University of Wisconsin, Madison, WI, July 13, 2000 (received for review April 3, 2000) Obesity is strongly correlated with type 2 diabetes mellitus, a common disorder of glucose and lipid metabolism. Although adipocytes are critical in obesity, their role in diabetes has only recently been appreciated. We conducted studies by using DNA microarrays to identify differences in gene expression in adipose tissue from lean, obese, and obese-diabetic mice. The expression level of over 11,000 transcripts was analyzed, and 214 transcripts showed significant differences between lean and obese mice. Surprisingly, the expression of genes normally associated with adipocyte differentiation were down-regulated in obesity. Not all obese individuals will become diabetic; many remain normoglycemic despite profound obesity. Understanding the transition to obesity with concomitant diabetes will provide important clues to the pathogenesis of type 2 diabetes. Therefore, we examined the levels of gene expression in adipose tissue from five groups of obese mice with varying degrees of hyperglycemia, and we identified 88 genes whose expression strongly correlated with diabetes severity. This group included many genes that are known to be involved in signal transduction and energy metabolism as well as genes not previously examined in the context of diabetes. Our data show that a decrease in expression of genes normally involved in adipogenesis is associated with obesity, and we further identify genes important for subsequent development of type 2 diabetes mellitus. Keywords: Genetic modifications and strain difference

Dataset Information

Gene expression analysis of cervical cancer progression

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets