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 210 genes with significant mutation (Q value <= 0.1) and 181 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 :
2 pathways significantly enriched with genes with copy number alteration or mutation.
36 pathways significantly enriched with marker genes of gene expression subtype 1
62 pathways significantly enriched with marker genes of gene expression subtype 2
16 pathways significantly enriched with marker genes of gene expression subtype 3
Pathway | Nof Genes | Nof CNV_Mut | Enrichment | P value | Q value |
---|---|---|---|---|---|
KEGG_GLIOMA | 65 | 8 | 2.7 | 0 | 0.0084 |
KEGG_CHRONIC_MYELOID_LEUKEMIA | 73 | 8 | 2.6 | 0.0001 | 0.0098 |
KEGG_PEROXISOME | 78 | 8 | 2.5 | 0.0001 | 0.011 |
BIOCARTA_VEGF_PATHWAY | 29 | 5 | 3.2 | 0.0002 | 0.014 |
KEGG_MELANOMA | 71 | 7 | 2.4 | 0.0003 | 0.022 |
HRAS,AKT1,CDKN2A,BRAF,RB1,PDGFRA,PIK3R1,CALM1
HRAS,TGFB3,AKT1,CDKN2A,BRAF,RB1,PIK3R1,HDAC2
PEX3,PEX7,GNPAT,SLC27A2,ACAA1,GSTK1,IDH1,ABCD4
HRAS,EIF2B2,PIK3R1,HIF1A,EIF2S1
HRAS,AKT1,CDKN2A,BRAF,RB1,PDGFRA,PIK3R1
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
KEGG_PATHWAYS_IN_CANCER | 328 | 58 | 0.96 | 0 | 0 |
KEGG_TYROSINE_METABOLISM | 42 | 14 | 1.9 | 0 | 0.0003 |
KEGG_MAPK_SIGNALING_PATHWAY | 267 | 46 | 0.92 | 0 | 0.0003 |
KEGG_HISTIDINE_METABOLISM | 29 | 11 | 2 | 0 | 0.0005 |
KEGG_CHEMOKINE_SIGNALING_PATHWAY | 190 | 34 | 0.99 | 0.0001 | 0.0009 |
PGF,BRAF,RXRA,CTNNA1,MAPK3,RAC1,BMP4,SMAD4,SMAD3,SMAD2,CBLC,LAMA4,LAMA5,ETS1,FGF5,FGF7,PTEN,CCNE2,CCNE1,FZD2,STAT1,RASSF1,FGF18,PDGFA,TGFB2,WNT4,SLC2A1,RET,FGF23,FGF22,EP300,FGFR2,WNT5B,AXIN1,EPAS1,HDAC2,E2F1,E2F3,FASLG,AKT1,MAX,PAX8,RHOA,HSP90AA1,PRKCB,DAPK1,WNT11,GSTP1,CKS1B,WNT16,TPM3,FIGF,COL4A2,COL4A1,FLT3,CBL,WNT2B,FZD10
TYRP1,ADH1C,WBSCR22,ADH1B,ADH1A,ADH7,AMH,ALDH3A1,DCT,GOT2,HYAL1,HGD,ALDH3B2,TRMT11
PRKX,BRAF,MAPK3,CACNB2,RAC1,NTF3,TAOK2,MAP2K4,JMJD7-PLA2G4B,FGF5,FGF7,FLNC,PLA2G3,MAP3K11,GNG12,PPP3CB,CHP,RASA2,DUSP4,MAPK12,FGF18,PDGFA,GNA12,TGFB2,FGF23,FGF22,MAP4K4,ARRB2,NGF,FGFR2,FGFR4,MAP4K2,ELK4,CACNA2D1,CACNA2D2,RAP1A,CACNA1F,CACNA1C,CACNA1A,FASLG,AKT1,MAX,PRKCB,PPM1A,PPP3R1,MAP3K3
WBSCR22,ALDH3A1,ASPA,HNMT,HDC,ALDH3B2,ABP1,ALDH7A1,TRMT11,ALDH1B1,ALDH2
CXCL11,PRKX,TIAM1,GNG5,ROCK1,BRAF,CCR8,CCR6,ARRB2,CCR4,CCR3,MAPK3,CX3CR1,GNAI3,CCL4,RAC1,RAP1A,XCL1,CXCR3,AKT1,PLCB4,RHOA,PRKCB,GNB5,WASL,PF4,GNG11,GNG12,CCL21,CCL19,STAT1,CCL16,GSK3A,JAK2
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
KEGG_MAPK_SIGNALING_PATHWAY | 267 | 53 | 1.1 | 0 | 0 |
KEGG_COMPLEMENT_AND_COAGULATION_CASCADES | 69 | 20 | 1.7 | 0 | 0 |
KEGG_PATHWAYS_IN_CANCER | 328 | 68 | 1.2 | 0 | 0 |
KEGG_NEUROTROPHIN_SIGNALING_PATHWAY | 126 | 28 | 1.3 | 0 | 0.0001 |
KEGG_CHRONIC_MYELOID_LEUKEMIA | 73 | 20 | 1.6 | 0 | 0.0001 |
MAP3K4,PLA2G1B,MAP2K5,MECOM,MAPK8,PLA2G2D,CACNB4,HSPA1L,NTF3,MAP2K2,FGF5,FGF7,FGF9,NFKB1,NFKB2,CACNG2,GADD45G,PLA2G3,GADD45B,MAP3K14,MKNK2,PPP3CA,RASA1,PLA2G10,GPI,MAPK11,RPS6KA5,NRAS,RPS6KA6,DUSP2,RPS6KA2,MAPK14,DUSP9,FGF18,FGF17,TGFB3,TGFB2,PRKACB,FGF20,NGF,FGFR4,MAPKAPK2,ELK4,EGF,NR4A1,RAP1A,CACNA1C,PRKCA,PPM1A,PPM1B,MAP3K1,NF1,CRK
MASP1,SERPINA5,CD46,CFI,F12,F10,F7,CNTN1,F2,C7,C6,BDKRB1,C1S,FGG,FGA,FGB,CR2,VWF,CPB2,PLAU
STAT5B,RARB,CTNNA1,MECOM,CTNNA3,CTNNA2,VEGFB,JUP,PIAS3,MAPK8,BCL2L1,DVL2,MAP2K2,CREBBP,SMAD3,DVL1,CBLC,FGF5,FGF7,FGF9,NFKB1,NFKB2,CTBP1,CTBP2,BIRC5,FZD4,NRAS,TCEB2,TCEB1,WNT7A,FGF18,MMP9,FGF17,TGFB3,MMP2,TGFB2,WNT4,CDKN2B,RALA,FGF20,RBX1,ARNT,ITGAV,EGF,RUNX1,TRAF4,AXIN1,EPAS1,ITGA2,CDKN1A,CDKN1B,ITGA6,ABL1,E2F1,PAX8,TPR,PRKCA,RUNX1T1,DAPK3,WNT11,EGLN2,EGLN1,CDH1,TCF7L1,PIK3R3,CEBPA,COL4A2,CRK
FOXO3,NGFRAP1,MAP2K5,RIPK2,MAPK8,NGF,MAPKAPK2,NTF3,MAP2K2,RAP1A,ABL1,NFKB1,CSK,SHC3,KIDINS220,PSEN1,NGFR,MAP3K1,CALML5,PIK3R3,MAPK11,YWHAE,RPS6KA5,RPS6KA6,NRAS,RPS6KA2,MAPK14,CRK
E2F1,STAT5B,TGFB3,NFKB1,TGFB2,SHC3,CTBP1,CTBP2,MECOM,BCL2L1,PIK3R3,RUNX1,MAP2K2,SMAD3,CBLC,NRAS,CDKN1A,CDKN1B,ABL1,CRK
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
KEGG_CALCIUM_SIGNALING_PATHWAY | 178 | 31 | 1.1 | 0.0001 | 0.0022 |
KEGG_ENDOCYTOSIS | 183 | 31 | 1 | 0.0001 | 0.0022 |
KEGG_CELL_ADHESION_MOLECULES_CAMS | 134 | 25 | 1.2 | 0.0001 | 0.0022 |
KEGG_PATHWAYS_IN_CANCER | 328 | 50 | 0.86 | 0 | 0.0022 |
BIOCARTA_ACTINY_PATHWAY | 20 | 8 | 2.2 | 0.0001 | 0.0031 |
ADCY8,ITPKB,ITPKA,ATP2B1,ATP2B3,GRIN2C,BST1,NTSR1,PHKA2,ADORA2B,BDKRB1,SPHK1,VDAC2,VDAC3,VDAC1,ATP2A2,TBXA2R,CACNA1G,ADRA1D,EDNRB,PLCB3,PLCB2,PRKCA,GRM1,GNAL,PTAFR,PPP3R1,PTK2B,CHP,CAMK2A,HTR2B
CHMP5,CHMP6,DAB2,PLD1,SH3GL1,ASAP2,ADRBK2,SRC,HSPA1L,SNF8,MET,KDR,CBLB,RABEP1,GRK6,CLTB,RAB5B,VPS37A,VPS37B,VPS37C,PIP5K1A,LDLRAP1,RAB11FIP5,RAB11FIP2,RAB11FIP3,EEA1,PIKFYVE,EHD1,FLT1,VPS28,ARAP1
OCLN,HLA-DQA1,PHOX2A,HLA-DRA,HLA-DRB1,ITGAV,ITGB7,CTLA4,HLA-DOA,HLA-DOB,CLDN8,CLDN3,CLDN5,HLA-DMB,CD80,CLDN1,VCAN,JAM3,CLDN10,CLDN11,NEO1,CD4,SELPLG,MPZ,SELE
CUL2,RARB,CCNA1,PLD1,BCR,RXRA,RXRG,LAMC3,PIAS3,MAPK8,LAMC2,PIAS1,RAC3,DVL3,HGF,LAMA4,CBLB,FGF7,SPI1,MLH1,PTEN,AKR1B1,RAD51,BID,BIRC5,BIRC2,WNT7B,RASSF1,MMP9,CDKN2A,RALA,EP300,RBX1,ITGAV,TRAF4,TRAF3,MET,IKBKG,E2F1,AKT1,FOS,PAX8,PRKCA,NCOA4,WNT16,KITLG,EGLN1,TCF7L2,PIK3R5,RALGDS
ABI2,ARPC4,PSMA7,ACTR3,ACTR2,ARPC2,NCK1,PIR
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.