PCGEM1

 

Full name: PCGEM1 prostate-specific transcript Alias Symbol: NCRNA00071|LINC00071|PCAT9
Type: non-coding RNA Cytoband: 2q32.3
Entrez ID: 64002 HGNC ID: HGNC:30145 Ensembl Gene: ENSG00000227418 OMIM ID: 605443
Drug and gene relationship at DGIdb

 

Expression of PCGEM1:

 

Dataset Gene EntrezID Probe Log2FC Adj.pValue Expression
GSE17351 PCGEM1 64002 234515_at -0.0859 0.8382
GSE26886 PCGEM1 64002 234515_at -0.0990 0.3611
GSE45670 PCGEM1 64002 234515_at 0.0088 0.9535
GSE53622 PCGEM1 64002 39078 0.0828 0.4392
GSE53624 PCGEM1 64002 39078 0.0244 0.7948
GSE63941 PCGEM1 64002 234515_at 0.1154 0.5923
GSE77861 PCGEM1 64002 234515_at -0.1306 0.1794

Upregulated datasets: 0; Downregulated datasets: 0.  


 

Survival by PCGEM1 expression:

 

GSE53622GSE53624TCGA

 

Note: Click image to view full size file.  


Copy number change of PCGEM1:

 

Dataset Gene EntrezID Gain Loss Normal Detail
GSE15526 PCGEM1 64002 8 3 19
GSE20123 PCGEM1 64002 8 3 19
GSE43470 PCGEM1 64002 3 1 39
GSE46452 PCGEM1 64002 1 4 54
GSE47630 PCGEM1 64002 4 5 31
GSE54993 PCGEM1 64002 0 5 65
GSE54994 PCGEM1 64002 12 6 35
GSE60625 PCGEM1 64002 0 3 8
GSE74703 PCGEM1 64002 2 1 33
GSE74704 PCGEM1 64002 3 2 15
TCGA PCGEM1 64002 23 8 65

Total number of gains: 64; Total number of losses: 41; Total Number of normals: 383.  


 

Somatic mutations of PCGEM1:

 

Generating mutation plots.

 

Highly correlated genes for PCGEM1:

 

Showing top 20/108 corelated genes with mean PCC>0.5.
Gene1 Gene2 Mean PCC Num. Datasets Num. PCC<0 Num. PCC>0.5
PCGEM1TMEM1690.707947303
PCGEM1OR10H30.689538404
PCGEM1GAB40.677946303
PCGEM1A1CF0.677489303
PCGEM1EPHA5-AS10.665383303
PCGEM1ZGLP10.66529404
PCGEM1LINC004080.659166303
PCGEM1C8B0.649573504
PCGEM1ASCL30.646158303
PCGEM1KIF120.641851303
PCGEM1CAMK2A0.636349404
PCGEM1CIB40.631591303
PCGEM1ATP13A50.623973303
PCGEM1MIR47550.621566404
PCGEM1CNR10.61496303
PCGEM1CLRN10.610854404
PCGEM1PSG60.610303303
PCGEM1RNF2080.608417303
PCGEM1RANBP3L0.608172303
PCGEM1CCDC300.605689504

For details and further investigation, click here