This pipeline maps genes, with mutation or copy number alteration AND this alteration is highly correlated with mRNA expression, to pathways curated in the KEGG and BIOCARTA databases. It identifies pathways significantly enriched with these genes. The pipeline also identifies pathways significantly enriched with marker genes of each expression subtype of cancer.
genes with mutation: identified by the Mutation_Significance pipeline
genes with copy number alteration: identified by the CopyNumber_Gistic2 pipeline
correlation between copy number and mRNA expression: identified by the Correlate_CopyNumber_vs_mRNA pipeline
marker genes and expression subtypes: identified by the mRNAConsensusClustering pipeline
There are 439 genes with significant mutation (Q value <= 0.1) and 371 genes with significant copy number alteration (Q value <= 0.25). The identified marker genes (Q value <= 0.01 or within top 2000) are 2000 for subtype 1, 2000 for subtype 2, 2000 for subtype 3. Pathways significantly enriched with these genes (Q value <= 0.01) are identified :
0 pathways significantly enriched with genes with copy number alteration or mutation.
0 pathways significantly enriched with marker genes of gene expression subtype 1
0 pathways significantly enriched with marker genes of gene expression subtype 2
0 pathways significantly enriched with marker genes of gene expression subtype 3
Pathway | Nof Genes | Nof CNV_Mut | Enrichment | P value | Q value |
---|---|---|---|---|---|
BIOCARTA_TNFR1_PATHWAY | 29 | 6 | 2.4 | 0.0007 | 0.078 |
KEGG_APOPTOSIS | 88 | 11 | 1.7 | 0.0005 | 0.078 |
KEGG_PROSTATE_CANCER | 89 | 11 | 1.7 | 0.0006 | 0.078 |
KEGG_ERBB_SIGNALING_PATHWAY | 87 | 10 | 1.6 | 0.0019 | 0.098 |
KEGG_ADHERENS_JUNCTION | 75 | 9 | 1.7 | 0.0019 | 0.098 |
PRKDC,BAG4,CASP3,CASP8,MAP2K4,RB1
CASP3,CASP8,CHUK,TNFRSF10A,TNFRSF10C,TNFRSF10B,TNFRSF10D,BCL2L1,PPP3CC,PIK3R1,IKBKB
PTEN,CTNNB1,CHUK,RB1,PDGFRA,FGFR1,ERBB2,PIK3R1,MAP2K2,GSK3B,IKBKB
EIF4EBP1,NRG1,ERBB4,ERBB3,ERBB2,PIK3R1,MAP2K2,MAP2K4,MAPK10,GSK3B
IQGAP1,CTNNB1,RHOA,PTPRM,CTNNA1,FGFR1,ERBB2,TGFBR2,SMAD3
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
KEGG_HEMATOPOIETIC_CELL_LINEAGE | 88 | 17 | 1.2 | 0.0007 | 0.23 |
KEGG_PRIMARY_BILE_ACID_BIOSYNTHESIS | 16 | 6 | 2.1 | 0.0015 | 0.24 |
BIOCARTA_CTLA4_PATHWAY | 21 | 6 | 1.9 | 0.003 | 0.25 |
KEGG_LYSOSOME | 121 | 20 | 0.92 | 0.0031 | 0.25 |
BIOCARTA_TALL1_PATHWAY | 15 | 5 | 1.9 | 0.0068 | 0.31 |
CD8A,GYPA,CD3D,CD38,CD37,TNF,ITGB3,CD9,FCGR1A,IL2RA,IL7,FLT3,ITGA4,CD19,ITGA6,EPOR,CD14
AMACR,CYP39A1,CYP27A1,CH25H,HSD17B4,AKR1D1
CD3D,CD247,CTLA4,PTPN11,CD80,CD28
GNPTG,NEU1,NAGLU,ACP5,CTSA,PPT1,LAPTM5,ABCB9,LAMP2,AP1S3,AP1S2,ATP6V0D2,HYAL1,CTSS,DNASE2B,CTSK,PSAPL1,CEL,MANBA,SLC17A5
TRAF2,TNFRSF17,TNFSF13B,MAPK8,MAP3K14
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
BIOCARTA_IL12_PATHWAY | 23 | 8 | 2.1 | 0.0003 | 0.048 |
BIOCARTA_NO2IL12_PATHWAY | 17 | 7 | 2.2 | 0.0003 | 0.048 |
BIOCARTA_TOB1_PATHWAY | 21 | 7 | 2.1 | 0.001 | 0.1 |
KEGG_STEROID_BIOSYNTHESIS | 17 | 6 | 2.1 | 0.0016 | 0.12 |
BIOCARTA_CTLA4_PATHWAY | 21 | 6 | 1.9 | 0.0042 | 0.25 |
IL18R1,CD3G,CD3D,CD3E,TRA@,IL12RB2,IL12RB1,IL12A
CD3G,CD3D,CD3E,IL12RB2,IL12RB1,IL12A,CD4
CD3G,CD3D,CD3E,TGFBR2,SMAD4,TRA@,TOB1
SOAT1,CEL,CYP27B1,SQLE,DHCR7,NSDHL
CD3G,CD3D,CD3E,CTLA4,TRA@,PIK3R1
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
KEGG_PURINE_METABOLISM | 158 | 29 | 1 | 0.0001 | 0.032 |
KEGG_MATURITY_ONSET_DIABETES_OF_THE_YOUNG | 25 | 8 | 1.8 | 0.0009 | 0.15 |
BIOCARTA_MCM_PATHWAY | 18 | 5 | 1.6 | 0.016 | 0.49 |
BIOCARTA_CELLCYCLE_PATHWAY | 23 | 6 | 1.6 | 0.012 | 0.49 |
KEGG_STEROID_BIOSYNTHESIS | 17 | 5 | 1.8 | 0.0097 | 0.49 |
ADCY5,POLE,PDE4D,POLR2J2,NME7,PDE5A,PPAT,PDE6B,ENTPD5,ADSSL1,AK7,PDE6H,POLD3,PDE7B,GUK1,PDE11A,NT5M,PDE8A,NT5E,POLR1E,PDE10A,GMPR,ADK,POLR2H,POLR2I,POLR2C,PDE1C,NUDT9,POLR3A
ONECUT1,PAX4,BHLHA15,NKX2-2,HNF4G,NEUROG3,MNX1,KLRG1
MCM4,CDK2,CCNE1,ORC3L,CDKN1B
E2F1,CDK7,CDC25A,CDK2,CCNE1,CDKN1B
TM7SF2,SOAT1,GLB1,CEL,CYP27B1
Let genes with copy number alteration or mutation be query genes. Let marker genes of specific identified subtypes be query genes. The Enrichment is calculated as:
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Enrichment = log2 (# of query genes in the pathway/# No of query genes) - log2 (# of genes in the pathway/# of human genes)
The statistical signficance of the pathways that are enriched with genes with copy number alteration or mutation, and the pathways that are enriched with markers genes of specific identified subtypes is measured by P value.
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P value = Fisher exact P value
The Q value is for adjusting P value for multiple testing. A public available R package is used to calculate the Q value.
This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.