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Series GSE43973 Query DataSets for GSE43973
Status Public on Aug 31, 2013
Title Age-associated gene expression in normal breast tissue mirrors qualitative age-at-incidence patterns for breast cancer
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Background: Age is the strongest breast cancer risk factor, with overall breast cancer risk increasing steadily beginning at approximately 30 years of age. However, while breast cancer risk is lower among younger women, young women’s breast cancer may be more aggressive. Though several genomic and epidemiologic studies have shown higher prevalence of aggressive, estrogen-receptor negative breast cancer in younger women, the age-related gene expression that predisposes to these tumors is poorly understood. Characterizing age-related patterns of gene expression in normal breast tissues may provide insights on etiology of distinct breast cancer subtypes that arise from these tissues. Methods: To identify age-related changes in normal breast tissue, 96 tissue specimens from reduction mammoplasty patients aged 14 to 70 were assayed by gene expression microarray. Results: Significant associations between gene expression levels and age were identified for 802 probes (481 increased, 321 decreased with increasing age). Enriched functions included ‘aging of cells’, ‘shape change’, and ‘chemotaxis’, and enriched pathways included Wnt/beta-catenin signaling, Ephrin Receptor Signaling, and JAK/Stat Signaling. Applying the age-associated genes to publicly available tumor datasets, the age-associated pathways defined two groups of tumors with distinct survival. Conclusion: The hazard rates of young-like tumors mirrored that of high grade tumors in the Surveillance, Epidemiology and End Results Program, providing a biological link between normal aging and age-related tumor aggressiveness. Impact: These data show that studies of normal tissue gene expression can yield important insights about the pathways and biological pressures that are relevant during tumor etiology and progression.
 
Overall design reference x sample
 
Contributor(s) Pirone JR, Arcy MD, Troester MA
Citation(s) 22859400
Submission date Jan 31, 2013
Last update date Feb 22, 2018
Contact name Melissa Troester
E-mail(s) troester@unc.edu
Organization name University of North Carolina at Chapel Hill
Department Epidemiology
Street address 135 Dauer Drive, CB 7435
City Chapel Hill
State/province NC
ZIP/Postal code 27599
Country USA
 
Platforms (3)
GPL4133 Agilent-014850 Whole Human Genome Microarray 4x44K G4112F (Feature Number version)
GPL8264 UNC PerouLab 244K Custom Human Array version 3
GPL8265 UNC PerouLab 244K Custom Human Array version 4
Samples (148)
GSM775419 UMA07063
GSM775420 UMA07064
GSM775421 UMA07065
Relations
BioProject PRJNA189289

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE43973_RAW.tar 6.9 Mb (http)(custom) TAR
Processed data included within Sample table

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