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Series GSE79402 Query DataSets for GSE79402
Status Public on Dec 18, 2018
Title CNV Identification: Prostate Cancer (PCa) vs Benign Prostatic Hyperplasia (BPH) Human DNA Samples
Organism Homo sapiens
Experiment type Genome variation profiling by genome tiling array
Summary Copy number variations (CNVs) in the human genome have been linked to various carcinomas including prostate cancer (PCa). This study was conducted to identify CNVs in high grade PCa. We performed a pilot genome-wide CNV analysis in 36 subjects (18 high grade PCa and 18 benign prostatic hyperplasia) using array comparative genomic hybridization (aCGH) technique. Array results were validated using PCR-based copy number counting method. A total of 339 CNV regions were found to be unique to PCa subjects in this cohort (P < 0.05). Data segregation and filtering revealed six putative CNV loci associated with susceptibility to PCa. Of these, four were rare (1q21.3, 15q15, 3q27.2 and 7p12.1) and one was a novel copy number gain (12q23.1), harbouring genes such as the ARNT, THBS1, SLC5A8 and DDC which are crucial in the p53 and cancer pathways. Another CNV was a loss at 8p11.21 which contains the SFRP1 gene from the Wnt signalling pathway, known for its interaction with androgen receptors as reported for urological malignancy. Cross comparison analysis with genes already known to be associated with PCa revealed significant CNVs involved in crucial biological processes that elicit cancer pathogenesis via cytokine production, disease progression through endothelial cell proliferation and xenobiotic metabolism. In conclusion, these findings suggest that the CNV regions identified could provide an insight into the development of high grade PCa.
 
Overall design 36 samples were analysed for the purpose of CNV identification (discovery cohort) and 46 other samples ( a different subset of samples) were included in the validation cohort. For the discovery cohort, 18 PCa and 18 BPH samples were used as case and control respectively. Controls in this study was used as the reference itself in order to avoid misinterpretation of data due to reference sample of a different genetic makeup i.e. Yoruba Male- provided in the kit.
 
Contributor(s) Poniah P, Zain SM, Razack AH, Kuppusamy S, Mohamed Z
Citation(s) 28527622
Submission date Mar 18, 2016
Last update date Mar 19, 2019
Contact name Prevathe Poniah
Organization name University of Malaya
Department Pharmacology
Lab Pharmacogenomics
Street address Lembah Pantai
City Wilayah Persekutuan Kuala Lumpur
ZIP/Postal code 50603
Country Malaysia
 
Platforms (1)
GPL10154 Agilent-021365 SurePrint G3 Human CNV Microarray 2x400K (Feature Number version)
Samples (18)
GSM2094807 Slide1_Array1
GSM2094808 Slide1_Array2
GSM2094809 Slide2_Array1
Relations
BioProject PRJNA315774

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE79402_RAW.tar 790.1 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

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