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Meta-analysis of gene expression data identifies causal genes for prostate cancer.
- Source :
-
Asian Pacific journal of cancer prevention : APJCP [Asian Pac J Cancer Prev] 2013; Vol. 14 (1), pp. 457-61. - Publication Year :
- 2013
-
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.
- Subjects :
- Actin Cytoskeleton genetics
Androgen-Binding Protein genetics
Calcium-Binding Proteins genetics
Carrier Proteins genetics
Cell Cycle Proteins
Cell Movement genetics
Cytokines genetics
Cytoskeletal Proteins genetics
Gene Expression Profiling
Genomics
Humans
Male
Microfilament Proteins genetics
Morphogenesis genetics
Muscle Proteins genetics
Myosin-Light-Chain Kinase genetics
Prostatic Neoplasms pathology
Prostatic Neoplasms physiopathology
Protein Interaction Maps
Proteins genetics
Utrophin genetics
Gene Expression
Prostatic Neoplasms genetics
Subjects
Details
- Language :
- English
- ISSN :
- 2476-762X
- Volume :
- 14
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Asian Pacific journal of cancer prevention : APJCP
- Publication Type :
- Academic Journal
- Accession number :
- 23534773
- Full Text :
- https://doi.org/10.7314/apjcp.2013.14.1.457