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 23 genes with significant mutation (Q value <= 0.1) and 390 genes with significant copy number alteration (Q value <= 0.25). The identified marker genes (Q value <= 0.01 or within top 2000) are 713 for subtype 1, 713 for subtype 2, 713 for subtype 3. Pathways significantly enriched with these genes (Q value <= 0.01) are identified :
13 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_VEGF_PATHWAY | 29 | 7 | 3.6 | 0 | 0.0004 |
KEGG_ENDOMETRIAL_CANCER | 52 | 8 | 3 | 0 | 0.0012 |
BIOCARTA_IGF1MTOR_PATHWAY | 20 | 5 | 3.7 | 0 | 0.0025 |
BIOCARTA_TFF_PATHWAY | 21 | 5 | 3.6 | 0 | 0.0025 |
KEGG_CITRATE_CYCLE_TCA_CYCLE | 32 | 6 | 3.3 | 0 | 0.0025 |
HRAS,EIF1AX,PIK3CA,EIF2B2,PIK3R1,EIF2B5,EIF2S1
HRAS,FOXO3,PTEN,PIK3CA,EGFR,PIK3CD,TP53,PIK3R1
PTEN,EIF2S1,PIK3CA,PIK3R1,EIF2B5
EGFR,HRAS,RHOA,PIK3CA,PIK3R1
PDHB,IDH2,IDH1,SUCLA2,DLST,SDHA
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
KEGG_B_CELL_RECEPTOR_SIGNALING_PATHWAY | 75 | 10 | 2.1 | 0.0001 | 0.033 |
BIOCARTA_LAIR_PATHWAY | 17 | 4 | 2.9 | 0.0015 | 0.14 |
KEGG_VALINE_LEUCINE_AND_ISOLEUCINE_DEGRADATION | 44 | 6 | 2.2 | 0.0019 | 0.14 |
KEGG_GLYCOSAMINOGLYCAN_BIOSYNTHESIS_HEPARAN_SULFATE | 26 | 5 | 2.6 | 0.0011 | 0.14 |
KEGG_CHEMOKINE_SIGNALING_PATHWAY | 190 | 14 | 1.2 | 0.002 | 0.14 |
BTK,SYK,PIK3CG,BCL10,PIK3CD,CARD11,NFKBIB,NFATC1,BLNK,VAV1
C3,VCAM1,SELPLG,IL1A
HADHA,HMGCL,BCKDHA,ACADM,DBT,PCCB
NDST3,B3GALT6,EXTL2,HS2ST1,HS6ST1
ADCY2,PIK3CG,PIK3CD,CX3CR1,GNAI3,NFKBIB,VAV1,CDC42,SHC3,PLCB2,PRKCD,GNB1,CCR1,GSK3A
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
KEGG_CALCIUM_SIGNALING_PATHWAY | 178 | 8 | 2.5 | 0.0001 | 0.015 |
KEGG_NEUROACTIVE_LIGAND_RECEPTOR_INTERACTION | 272 | 10 | 2.2 | 0.0001 | 0.015 |
BIOCARTA_PGC1A_PATHWAY | 24 | 2 | 3.4 | 0.014 | 0.93 |
BIOCARTA_CREB_PATHWAY | 27 | 2 | 3.2 | 0.02 | 0.93 |
KEGG_CARDIAC_MUSCLE_CONTRACTION | 78 | 3 | 2.4 | 0.019 | 0.93 |
ADRA1B,CACNA1A,HTR5A,CCKBR,PRKCB,CHRM3,CHRM2,CAMK2B
HTR5A,CCKBR,OPRK1,GABRA2,GABRA1,ADRA1B,CHRM3,CHRM2,PRSS1,PRSS3
CAMK1G,CAMK2B
CAMK2B,PRKCB
SLC9A6,CACNG3,CACNA2D3
Pathway | Nof Genes | Nof Marker | Enrichment | P value | Q value |
---|---|---|---|---|---|
BIOCARTA_DC_PATHWAY | 22 | 3 | 4.3 | 0.0004 | 0.08 |
KEGG_FC_GAMMA_R_MEDIATED_PHAGOCYTOSIS | 97 | 5 | 2.9 | 0.0005 | 0.08 |
BIOCARTA_CTCF_PATHWAY | 23 | 2 | 3.7 | 0.01 | 0.39 |
BIOCARTA_IL2_PATHWAY | 22 | 2 | 3.8 | 0.0095 | 0.39 |
BIOCARTA_NKCELLS_PATHWAY | 20 | 2 | 3.9 | 0.0079 | 0.39 |
TLR4,TLR7,CD33
SYK,ASAP3,DOCK2,VAV1,PIKFYVE
PTEN,TGFB1
STAT5A,SYK
VAV1,SYK
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:
-
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.
-
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.
In addition to the links below, the full results of the analysis summarized in this report can also be downloaded programmatically using firehose_get, or interactively from either the Broad GDAC website or TCGA Data Coordination Center Portal.