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 20 genes with significant mutation (Q value <= 0.1) and 252 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 :
4 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_RACCYCD_PATHWAY | 26 | 5 | 3.9 | 0 | 0.003 |
BIOCARTA_CHREBP2_PATHWAY | 44 | 6 | 3.4 | 0 | 0.003 |
KEGG_UBIQUITIN_MEDIATED_PROTEOLYSIS | 137 | 9 | 2.4 | 0.0001 | 0.0066 |
KEGG_OOCYTE_MEIOSIS | 114 | 8 | 2.4 | 0.0001 | 0.0087 |
KEGG_PANCREATIC_CANCER | 70 | 6 | 2.7 | 0.0003 | 0.019 |
AKT1,CCNE1,RAC1,CHUK,RB1
PPP2R5D,PPP2R2D,YWHAE,YWHAQ,PPP2R5E,PPP2R2A
BTRC,CUL7,KLHL9,CUL1,ANAPC2,BRCA1,UBE2G2,UBE2M,UBE3C
PPP2R5D,BTRC,CUL1,ANAPC2,PPP2R5E,CCNE1,YWHAE,YWHAQ
AKT1,CHUK,RB1,KRAS,RAC1,BRCA2
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
KEGG_RIBOSOME | 87 | 19 | 1.3 | 0.0001 | 0.019 |
KEGG_MAPK_SIGNALING_PATHWAY | 267 | 41 | 0.82 | 0.0001 | 0.019 |
BIOCARTA_NTHI_PATHWAY | 24 | 8 | 1.9 | 0.0006 | 0.052 |
BIOCARTA_PML_PATHWAY | 17 | 6 | 2 | 0.0021 | 0.074 |
BIOCARTA_TEL_PATHWAY | 18 | 6 | 1.9 | 0.0029 | 0.074 |
RPL36AL,RPL14,RPL13,RPS27L,RPL22L1,RPLP1,FAU,RPS18,RPS10,UBA52,RPL35,RPL27A,RPS27,RPL9,RPL10A,RPSA,RPL24,MRPL23,RPL18A
MEF2C,PLA2G2E,CACNB2,KRAS,DUSP14,TAOK3,TGFBR2,FGF6,NFKB1,NFKB2,DAXX,MYC,GADD45G,MAP3K14,MAP3K11,SOS1,GPI,RPS6KA4,DUSP1,RPS6KA1,DUSP6,GNA12,FGF11,TGFB1,RELA,STK4,ARRB1,STMN1,TRAF2,ELK1,CACNA2D1,ATF4,AKT2,TNF,PPM1B,TNFRSF1A,RASGRP4,RASGRP1,MAPK8IP2,MAPK8IP3,MAPK8IP1
TNF,IL8,RELA,TGFBR2,NFKB1,EP300,DUSP1,MAP3K14
TNF,RB1,DAXX,TNFRSF1A,SUMO1,PRAM1
XRCC5,RB1,KRAS,TNKS,MYC,TERF1
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
BIOCARTA_GH_PATHWAY | 28 | 6 | 1.3 | 0.028 | 0.74 |
BIOCARTA_STEM_PATHWAY | 15 | 4 | 1.6 | 0.034 | 0.74 |
BIOCARTA_LONGEVITY_PATHWAY | 15 | 4 | 1.6 | 0.034 | 0.74 |
KEGG_PENTOSE_AND_GLUCURONATE_INTERCONVERSIONS | 28 | 6 | 1.3 | 0.024 | 0.74 |
KEGG_GALACTOSE_METABOLISM | 26 | 6 | 1.4 | 0.02 | 0.74 |
HNF1A,STAT5B,PIK3CA,PRKCA,MAPK1,GH1
IL5,CD8A,CSF1,EPO
SOD1,SOD2,GH1,PIK3CA
UGDH,UGT1A7,UGT1A6,UGT1A10,AKR1B1,UGT2B10
HK1,HK3,B4GALT1,PFKM,GANC,AKR1B1
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
KEGG_ADHERENS_JUNCTION | 75 | 16 | 1.3 | 0.0004 | 0.11 |
KEGG_HUNTINGTONS_DISEASE | 183 | 28 | 0.9 | 0.0006 | 0.11 |
BIOCARTA_MAPK_PATHWAY | 87 | 17 | 1.2 | 0.0011 | 0.12 |
KEGG_ALZHEIMERS_DISEASE | 167 | 25 | 0.87 | 0.0017 | 0.14 |
KEGG_COLORECTAL_CANCER | 62 | 13 | 1.2 | 0.0021 | 0.14 |
CTNNB1,MAP3K7,RHOA,EGFR,FARP2,PARD3,ERBB2,ACP1,SORBS1,RAC1,MLLT4,PTPRB,TCF7,GPI,SMAD4,SNAI1
COX5A,SIN3A,GRIN2B,RCOR1,PPARGC1A,DCTN2,ATP5C1,APEX1,NFE2L1,ATP5D,UQCRQ,NDUFS6,CASP9,DLG4,NDUFS3,ATP5H,GNAQ,DNAH1,COX7A2L,POLR2D,POLR2C,NDUFB1,NDUFB2,NDUFA3,NDUFA8,NDUFA1,BAX,APAF1
MEF2A,MAP3K7,FOS,MAP3K8,MAP4K4,RIPK1,MAPK7,MAP3K13,MAP3K12,MAP3K3,MAP3K2,RAC1,MAPK10,MEF2D,RPS6KA3,RPS6KA4,ARAF
COX5A,GRIN2B,ATP5C1,EIF2AK3,ATP2A3,ATP5D,UQCRQ,NDUFS6,CASP9,MAPT,NDUFS3,ATP5H,GNAQ,ERN1,COX7A2L,NDUFB1,NDUFB2,NOS1,NDUFA3,NDUFA8,CAPN2,NDUFA1,NCSTN,LRP1,APAF1
CTNNB1,FOS,CASP9,RHOA,AKT3,PIK3CB,KRAS,RAC1,TCF7,SMAD4,MAPK10,BAX,ARAF
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.