Meta-analysis of gene expression data identifies causal genes for prostate cancer.

Xiang-Yang Wang, Jian-Wei Hao, Rui-Jin Zhou, Xiang-Sheng Zhang, Tian-Zhong Yan, De-Gang Ding, Lei Shan

Journal: Asian Pacific journal of cancer prevention : APJCP 2013;14(1):457-61

PMID: 23534773

Free Full Text on Asian Pacific Organization for Cancer Prevention View on PubMed

Abstract

Prostate cancer is a leading cause of death in male populations across the globe. With the advent of gene expression arrays, many microarray studies have been conducted in prostate cancer, but the results have varied across different studies. To better understand the genetic and biologic mechanisms of prostate cancer, we conducted a meta-analysis of two studies on prostate cancer. Eight key genes were identified to be differentially expressed with progression. After gene co-expression analysis based on data from the GEO database, we obtained a co- expressed gene list which included 725 genes. Gene Ontology analysis revealed that these genes are involved in actin filament-based processes, locomotion and cell morphogenesis. Further analysis of the gene list should provide important clues for developing new prognostic markers and therapeutic targets.

Address: Department of Urology, Henan Provincial People's Hospital, Zhengzhou, China.

DOI: 10.7314/apjcp.2013.14.1.457

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Full Text Sources:

http://journal.waocp.org/?sid=Entrez:PubMed&id=pmi...

Medical:

https://medlineplus.gov/prostatecancer.html

Miscellaneous:

https://assays.cancer.gov/CPTAC-1369

MeSH Terms: Actin Cytoskeleton, Androgen-Binding Protein, Calcium-Binding Proteins, Carrier Proteins, Cell Cycle Proteins, Cell Movement, Cytokines, Cytoskeletal Proteins, Gene Expression, Gene Expression Profiling, Genomics, Humans, Male, Microfilament Proteins, Morphogenesis, Muscle Proteins, Myosin-Light-Chain Kinase, Prostatic Neoplasms, Protein Interaction Maps, Proteins, Utrophin