Human Gene Set: KEGG_PROSTATE_CANCER


Standard name KEGG_PROSTATE_CANCER
Systematic name M13191
Brief description Prostate cancer
Full description or abstract The identification of key molecular alterations in prostate-cancer cells implicates carcinogen defenses (GSTP1), growth-factor-signaling pathways (NKX3.1, PTEN, and p27), and androgens (AR) as critical determinants of the phenotype of prostate-cancer cells. Glutathione S-transferases (GSTP1) are detoxifying enzymes that catalyze conjunction of glutathione with harmful, electrophilic molecules, thereby protecting cells from carcinogenic factors. Cells of prostatic intraepithelial neoplasia, devoid of GSTP1, undergo genomic damage mediated by such carcinogens. NKX3.1, PTEN, and p27 regulate the growth and survival of prostate cells in the normal prostate. Inadequate levels of PTEN and NKX3.1 lead to a reduction in p27 levels and to increased proliferation and decreased apoptosis. After therapeutic reduction in the levels of testosterone and dihydrotestosterone, the emergence of androgen-independent prostate cancer has been associated with mutations in the androgen receptor (AR) that permit receptor activation by other ligands, increased expression of androgen receptors accompanying AR amplification, and ligand-independent androgen-receptor activation.
Collection C2: Curated
      CP: Canonical Pathways
            CP:KEGG_LEGACY: KEGG Legacy Pathways
Source publication  
Exact source hsa05215
Related gene sets  
External links http://www.genome.jp/pathway/hsa05215
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Source species Homo sapiens
Contributed by KEGG (Kyoto Encyclopedia of Genes and Genomes)
Source platform or
identifier namespace		 Human_NCBI_Gene_ID
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GTEx compendium
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Global Cancer Map (Broad Institute)
NCI-60 cell lines (National Cancer Institute)

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GTEx compendium
Human tissue compendium (Novartis)
Global Cancer Map (Broad Institute)
NCI-60 cell lines (National Cancer Institute)
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Version history  

The content of the gene sets in the KEGG_LEGACY collection has not been updated since KEGG restricted their usage terms in 2011. More recent sets are available in the KEGG_MEDICUS collection, derived from KEGG's openly available MEDICUS subset.


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