Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

79 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genomic profiles vary with race and subtype in young African American and European American breast cancer (SNP)

ABSTRACT: In the United States, African-American (AA) women are more likely to develop early-onset breast cancer and have historically poorer outcomes due to this disease compared to European-American (EA) women. Here, we analyzed genomic profiles of breast tumors from young women (<50 years old), matched by tumor subtype, histological grade, and ethnicity (African-American, AA, compared to European-American, EA). DNA copy number alterations (CNAs) were analyzed on the Affymetrix Human SNP Array v 6.0 platform. The study provides insight into the genetic component of ethnicity-related breast cancer health disparities. DNA copy number alterations (CNAs) and genotypes were analyzed using the Affymetrix SNP 6.0 platform. Breast tumor samples from young women (< 50 years old) were matched as follows: a matched pair consists of one AA and one EA sample, matched for tumor grade and tumor subtype (based on immunohistochemical analysis of ER, PR, and HER2 status). DNA from forty-four samples (22 AA, 22 EA) was analyzed on the Affymetrix SNP 6.0 array according to manufacturer’s directions.

ORGANISM(S): Homo sapiens

SUBMITTER: Theresa Strong

PROVIDER: E-GEOD-26232 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Genomic profiles vary with race and subtype in young African American and European American breast cancer (SNP)

2013-01-29 | GSE26232 | GEO

Genomic profiles vary with race and subtype in young African American and European American breast cancer (aCGH)

2013-01-29 | GSE26214 | GEO

Genomic profiles vary with race and subtype in young African American and European American breast cancer (aCGH)

Project description:In the United States, African-American (AA) women are more likely to develop early-onset breast cancer and have historically poorer outcomes due to this disease compared to European-American (EA) women. Here, we analyzed genomic profiles of breast tumors from young women (<50 years old), matched by tumor subtype, histological grade, and ethnicity (African-American, AA, compared to European-American, EA). DNA copy number alterations (CNAs) were analyzed using a 32K BAC tiling path array. The study provides insight into the genetic component of ethnicity-related breast cancer health disparities. Breast tumor samples from young women (< 50 years old) were matched as follows: a matched pair consists of one AA and one EA sample, matched for tumor grade and tumor subtype (based on immunohistochemical analysis of ER, PR, and HER2 status). 44 experiments; each experiment is tumor DNA versus reference control DNA (AF) isolated from the blood of a 25-year-old African-American female with no familial or personal history of breast cancer. Additional control experiments included the AF reference versus the well-characterized F1 reference, and 3 self-self hybridization controls (AF versus AF).

2013-01-29 | E-GEOD-26214 | biostudies-arrayexpress

Copy number profiling of prostate cancers from 40 African American patients

Project description:African American (AA) men have a significantly higher mortality rate from prostate cancer (PCa) compared to European American (EA) men. AA men are twice as likely to die from PCa compared to EA men and 8 times as likely as Asian American men to die from PCa. The biological basis for these differences in PCa mortality are unclear. We carried out Copy Number Alteration (CNA) studies on a new set of 40 highly tumor-enriched primary PCas and matched benign prostate tissues from AA men using high resolution Affymetrix 6.0 SNP arrays and expression array analysis using RNAs (GSE71016) from the same tissues using high purity tumors from AA men and matched benign tissue. We have confirmed the specific loss of 4p16.3 described previously and identified a novel tumor suppressor gene, RGS12 at this locus that shows significantly decreased expression in AA PCa but not EA EA PCa.

2018-06-06 | GSE95726 | GEO

Gene expression profiling of African-American prostate cancer

Project description:African-American (AA) men have both a higher incidence and significantly higher mortality rates from prostate cancer (PCa) than European American (EA) men. In this study we have carried out a detailed analysis of both CNAs and gene expression changes in PCas from AA men compared to their matched benign tissues. We have identified MNX1 as a novel androgen regulated oncogene that is upregulated to a greater degree in AA PCa compared to EA PCa. Furthermore, RGS12 is a novel tumor suppressor on 4p16.3 that is preferentially deleted in AA PCa which negatively regulates MNX1 expression.

2016-08-31 | GSE71016 | GEO

MicroRNA expression profiling of the prostate biopsy samples from African American and European American prostate cancer patients

Project description:Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the thebiological risk factors associated with PCa disparities observed in AA and EA patients, we performed microRNA profiling using Agilent Human miRNA arrays to identify the differentially expressed microRNAs beween: 1) AA and EA PCa patients; 2) AA PCa vs. AA normal; and 3) EA PCa vs. EA normal. 54 prostate biopsy specimens (tumor and adjacent normal tissues) were collected from 14 African American and 13 European American prostate cancer patients. 54 RNA samples, purified from the collected biopy specimens using Qiagen miRNeasy kit, were process and applied to Agilent human miRNA arrays. Array data was normalized and analyzed using Agilent GeneSpring program.

2015-07-27 | E-GEOD-64318 | biostudies-arrayexpress

Transcription profiling of human prostate cancer epithelial cells from African American and European American men

Project description:African-American (AA) men experience increased risk of developing prostate cancers as well as increased mortality following treatment as compared to European-American (EA) men. The aim of our study was to identify biological factors with potential to predispose AA men to prostate tumor progression and metastasis. High-throughput microarrays were used to investigate differences in global gene expression comparing the two groups. Experiment Overall Design: To identify cancer-specific gene expression patterns in AA men, we established primary prostate cancer epithelial cells from 14 AA and 13 EA men. Cells were cultured for RNA extraction and hybridization on Affymetrix microarrays.

2009-08-07 | E-GEOD-17356 | biostudies-arrayexpress

Expression data from prostate cancer epithelial cells from African American and European American men

2009-07-28 | GSE17356 | GEO

Gene expression profiling of the prostate biopsy samples from African American and European American prostate cancer patients

Project description:Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling analysis using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes in AA and EA patients. 35 prostate biopsy specimens (tumor and adjacent normal tissues) were collected from 20 African American and 15 European American prostate cancer patients. RNA samples, purified from the collected biopy specimens, were process and applied to Affymetrix human exon ST 1.0 arrays. Array data was normalized, batch corrected and analyzed (1-way ANOVA) using Partek Genomics Suite program.

2015-07-27 | E-GEOD-64331 | biostudies-arrayexpress

Gene expression profiling of African American vs European American HPV-negative oropharyngeal squamous cell carcinomas

Project description:Head and neck cancer (HNC) is the fifth most common malignancy worldwide with an annual mortality rate of 200,000. About 90% of HNC can be classified as head and neck squamous cell carcinomas (HNSCC), of which approximately 75% are attributed to alcohol and tobacco consumption and 25% are associated with human papillomavirus (HPV), predominantly HPV16. HPV-associated OPC have better prognosis and a more favorable response to therapy as compared to HPV-negative tumors. Differences in risk factors, age of presentation, clinical behavior and gene expression profiles indicate that HPV-positive and HPV-negative tumors develop via different molecular mechanisms and are biologically distinct. African American (AA) males have a higher incidence of HNC than any other racial/gender group, and a mortality rate almost three-fold that observed in European American (EA) males. Overall, AA patients tend to present with more HPV-negative OPC and have worse prognosis as compared to both HPV-positive and HPV-negative HNSCC in EA patients. Despite the unveiling of differential gene expression patterns, genetic and epigenetic profiles and the compilation of a mutational landscape along with preliminary TCGA data of HPV-related and unrelated HNC, the molecular determinants of the racial disparity in HNC are yet to be identified. This study aimed to compare the gene expression profiles of HPV-negative HNSCC from AA and EA patients, and determine their biological differences. ANALYSIS 2: Two-condition, on-color experiment: African American (AA) vs European American (EA) HPV-negative oropharyngeal squamous cell carcinomas. Biological replicates: 8 African American and 8 European American.

2014-03-05 | E-GEOD-55543 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data