Dataset Information


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

ABSTRACT: 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.

ORGANISM(S): Homo sapiens  

SUBMITTER: Bi-Dar Wang   Norman H Lee 

PROVIDER: E-GEOD-64318 | ArrayExpress | 2015-07-27



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Identification and Functional Validation of Reciprocal microRNA-mRNA Pairings in African American Prostate Cancer Disparities.

Wang Bi-Dar BD   Ceniccola Kristin K   Yang Qi Q   Andrawis Ramez R   Patel Vyomesh V   Ji Youngmi Y   Rhim Johng J   Olender Jacqueline J   Popratiloff Anastas A   Latham Patricia P   Lai Yinglei Y   Patierno Steven R SR   Lee Norman H NH  

Clinical cancer research : an official journal of the American Association for Cancer Research 20150618 21

African Americans (AA) exhibit higher rates of prostate cancer incidence and mortality compared with European American (EA) men. In addition to socioeconomic influences, biologic factors are believed to play a critical role in prostate cancer disparities. We investigated whether population-specific and -enriched miRNA-mRNA interactions might contribute to prostate cancer disparities.Integrative genomics was used, combining miRNA and mRNA profiling, miRNA target prediction, pathway analysis, and  ...[more]

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