Cancer Cell Metabolism Database ~~ Bioinformatics and Systems Medicine Laboratory ~~

Cancer Cell Metabolism Gene Database

Cancer Cell Metabolism Gene DB

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	Gene Summary
	Phenotypic Information (metabolism pathway, cancer, disease, phenome)
	Mutations : SVs, CNVs, SNVs
	Gene expression: GE, Protein, DEGE, CNV vs GE
	Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG
	Pharmacological Information: Drug-Gene Network
	Cross referenced IDs

Gene Summary for PTGIS

Basic gene info.	Gene symbol	PTGIS
	Gene name	prostaglandin I2 (prostacyclin) synthase
	Synonyms	CYP8\|CYP8A1\|PGIS\|PTGI
	Cytomap	UCSC genome browser: 20q13.13
	Genomic location	chr20 :48120410-48184707
	Type of gene	protein-coding
	RefGenes	NM_000961.3,
	Ensembl id	ENSG00000124212
	Description	cytochrome P450, family 8, subfamily A, polypeptide 1prostacyclin synthaseprostaglandin I2 synthase
	Modification date	20141207
dbXrefs	MIM : 601699
	HGNC : HGNC
	Ensembl : ENSG00000124212
	HPRD : 09046
	Vega : OTTHUMG00000033077
Protein	UniProt: go to UniProt's Cross Reference DB Table
Expression	CleanEX: HS_PTGIS
	BioGPS: 5740
	Gene Expression Atlas: ENSG00000124212
	The Human Protein Atlas: ENSG00000124212
Pathway	NCI Pathway Interaction Database: PTGIS
	KEGG: PTGIS
	REACTOME: PTGIS
	ConsensusPathDB
	Pathway Commons: PTGIS
Metabolism	MetaCyc: PTGIS
	HUMANCyc: PTGIS
Regulation	Ensembl's Regulation: ENSG00000124212
	miRBase: chr20 :48,120,410-48,184,707
	TargetScan: NM_000961
	cisRED: ENSG00000124212
Context	iHOP: PTGIS
	cancer metabolism search in PubMed: PTGIS
	UCL Cancer Institute: PTGIS
Assigned class in ccmGDB	C

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Phenotypic Information for PTGIS(metabolism pathway, cancer, disease, phenome)

Cancer Description
Cancer	CGAP: PTGIS
	Familial Cancer Database: PTGIS

* This gene is included in those cancer gene databases.

						.
Oncogene ¹	Tumor Suppressor gene ²	Cancer Gene Census ³	CancerGenes ⁴	Network of Cancer Gene ⁵	Significant driver gene in	Therapeutic Vulnerabilities in Cancer¹

cf) number; DB name
1 Oncogene; http://nar.oxfordjournals.org/content/35/suppl_1/D721.long,
2 Tumor Suppressor gene; https://bioinfo.uth.edu/TSGene/,
3 Cancer Gene Census; http://www.nature.com/nrc/journal/v4/n3/abs/nrc1299.html,
4 CancerGenes; http://nar.oxfordjournals.org/content/35/suppl_1/D721.long,
5 Network of Cancer Gene; http://ncg.kcl.ac.uk/index.php,
1Therapeutic Vulnerabilities in Cancer; http://cbio.mskcc.org/cancergenomics/statius/

Metabolic Pathway Description
KEGG_ARACHIDONIC_ACID_METABOLISM

Others
OMIM
Orphanet
Disease	KEGG Disease: PTGIS
	MedGen: PTGIS (Human Medical Genetics with Condition)
	ClinVar: PTGIS
Phenotype	MGI: PTGIS (International Mouse Phenotyping Consortium)
Phenotype	PhenomicDB: PTGIS

Mutations for PTGIS

* Under tables are showing count per each tissue to give us broad intuition about tissue specific mutation patterns.You can go to the detailed page for each mutation database's web site.

Structural Variants in COSMIC : go to COSMIC mutation histogram

- Statistics for Tissue and Mutation type

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- For Inter-chromosomal Variations

* Inter-chromosomal variantions includes 'interchromosomal amplicon to amplicon', 'interchromosomal amplicon to non-amplified dna', 'interchromosomal insertion', 'Interchromosomal unknown type'.

- For Intra-chromosomal Variations

There's no intra-chromosomal structural variation.

Sample

Symbol_a

Chr_a

Start_a

End_a

Symbol_b

Chr_b

Start_b

End_b

cf) Tissue number; Tissue name (1;Breast, 2;Central_nervous_system, 3;Haematopoietic_and_lymphoid_tissue, 4;Large_intestine, 5;Liver, 6;Lung, 7;Ovary, 8;Pancreas, 9;Prostate, 10;Skin, 11;Soft_tissue, 12;Upper_aerodigestive_tract)

Related fusion transcripts : go to Chitars2.0

* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows PTGIS related fusion information.

Head Gene

Tail Gene

Accession

Gene_a

qStart_a

qEnd_a

Chromosome_a

tStart_a

tEnd_a

Gene_a

qStart_a

qEnd_a

Chromosome_a

tStart_a

tEnd_a

Other DBs for Structural Variants

Structural Variants in Ensembl: go to Ensembl Structural variation

Structural Variants in dbVar: go to dbVar

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Copy Number Variations in COSMIC : go to COSMIC mutation CNV/Expr

Mutation type/ Tissue ID

brca

cns

cerv

endome

haematopo

kidn

Lintest

liver

lung

ovary

pancre

prost

skin

stoma

thyro

urina

Total # sample

GAIN (# sample)

LOSS (# sample)

cf) Tissue ID; Tissue type (1; Breast, 2; Central_nervous_system, 3; Cervix, 4; Endometrium, 5; Haematopoietic_and_lymphoid_tissue, 6; Kidney, 7; Large_intestine, 8; Liver, 9; Lung, 10; NS, 11; Ovary, 12; Pancreas, 13; Prostate, 14; Skin, 15; Stomach, 16; Thyroid, 17; Urinary_tract)

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SNV Counts per Each Loci in COSMIC data : go to COSMIC point mutation

: Non-synonymous mutation, : Synonymous mutation, Circle size denotes number of samples.
Maximum mutation count=4

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Somatic Mutation Counts per Tissue in COSMIC data

Stat. for Non-Synonymous SNVs (# total SNVs=53)	Stat. for Synonymous SNVs (# total SNVs=11)

Stat. for Deletions (# total SNVs=0)	Stat. for Insertions (# total SNVs=1)
There's no deleted snv.

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Top 10 SNVs Having the Most Samples in COSMIC data

* When you move the cursor on each content, you can see more deailed mutation information on the Tooltip. Those are primary_site,primary_histology,mutation(aa),pubmedID.

GRCh37 position	Mutation(aa)	Unique sampleID count
chr20:48129793-48129793	p.V344M	4
chr20:48129705-48129705	p.R373Q	3
chr20:48129710-48129710	p.D371D	2
chr20:48140727-48140727	p.L241L	2
chr20:48130909-48130909	p.F293L	2
chr20:48140776-48140776	p.G225V	2
chr20:48127613-48127613	p.G437E	2
chr20:48156158-48156158	p.R208C	2
chr20:48129637-48129637	p.E396K	2
chr20:48140669-48140669	p.L261L	2

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SNV Counts per Each Loci in TCGA data

: non-synonymous mutation, : synonymous mutation, Circle size denotes number of samples.
maximum mutation count=3

Point Mutation/ Tissue ID	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20
# sample	2	3		8	1		3		1			5	2	2			12	5		4
# mutation	2	3		8	1		3		1			5	2	2			13	5		7
nonsynonymous SNV	1	2		6	1		3					5	1	2			10	4		6
synonymous SNV	1	1		2					1				1				3	1		1

cf) Tissue ID; Tissue type (1; BLCA[Bladder Urothelial Carcinoma], 2; BRCA[Breast invasive carcinoma], 3; CESC[Cervical squamous cell carcinoma and endocervical adenocarcinoma], 4; COAD[Colon adenocarcinoma], 5; GBM[Glioblastoma multiforme], 6; Glioma Low Grade, 7; HNSC[Head and Neck squamous cell carcinoma], 8; KICH[Kidney Chromophobe], 9; KIRC[Kidney renal clear cell carcinoma], 10; KIRP[Kidney renal papillary cell carcinoma], 11; LAML[Acute Myeloid Leukemia], 12; LUAD[Lung adenocarcinoma], 13; LUSC[Lung squamous cell carcinoma], 14; OV[Ovarian serous cystadenocarcinoma ], 15; PAAD[Pancreatic adenocarcinoma], 16; PRAD[Prostate adenocarcinoma], 17; SKCM[Skin Cutaneous Melanoma], 18:STAD[Stomach adenocarcinoma], 19:THCA[Thyroid carcinoma], 20:UCEC[Uterine Corpus Endometrial Carcinoma])

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Top 10 SNVs Having the Most Samples in TCGA data

* We represented just top 10 SNVs. When you move the cursor on each content, you can see more deailed mutation information on the Tooltip. Those are primary_site, primary_histology, mutation(aa), pubmedID.

Genomic Position	Mutation(aa)	Unique sampleID count
chr20:48129705	p.R373Q	3
chr20:48140776	p.G225V	2
chr20:48156158	p.R208C	2
chr20:48130784	p.V403I	1
chr20:48130930	p.L297L	1
chr20:48127626	p.D84N	1
chr20:48164492	p.E396K	1
chr20:48130813	p.F293L	1
chr20:48140645	p.L77L	1
chr20:48127680	p.N287D	1

Other DBs for Point Mutations

Point Mutation Table of Ensembl: go to Ensembl variation table

Mutation of cBioPortal: go to cBioPortal's Cross-cancer alteration summary

Copy Number for PTGIS in TCGA

* Copy number data were extracted from TCGA using R package TCGA-Assembler. The URLs of all public data files on TCGA DCC data server were gathered on Jan-05-2015. Function ProcessCNAData in TCGA-Assembler package was used to obtain gene-level copy number value which is calculated as the average copy number of the genomic region of a gene.

cf) Tissue ID[Tissue type]: BLCA[Bladder Urothelial Carcinoma], BRCA[Breast invasive carcinoma], CESC[Cervical squamous cell carcinoma and endocervical adenocarcinoma], COAD[Colon adenocarcinoma], GBM[Glioblastoma multiforme], Glioma Low Grade, HNSC[Head and Neck squamous cell carcinoma], KICH[Kidney Chromophobe], KIRC[Kidney renal clear cell carcinoma], KIRP[Kidney renal papillary cell carcinoma], LAML[Acute Myeloid Leukemia], LUAD[Lung adenocarcinoma], LUSC[Lung squamous cell carcinoma], OV[Ovarian serous cystadenocarcinoma ], PAAD[Pancreatic adenocarcinoma], PRAD[Prostate adenocarcinoma], SKCM[Skin Cutaneous Melanoma], STAD[Stomach adenocarcinoma], THCA[Thyroid carcinoma], UCEC[Uterine Corpus Endometrial Carcinoma]

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Gene Expression for PTGIS

Gene Expression in Cancer Cell-lines (CCLE)

* CCLE gene expression data were extracted from CCLE_Expression_Entrez_2012-10-18.res: Gene-centric RMA-normalized mRNA expression data.

Differential Gene Expression in Primary Tumors (TCGA)

* Normalized gene expression data of RNASeqV2 was extracted from TCGA using R package TCGA-Assembler. The URLs of all public data files on TCGA DCC data server were gathered at Jan-05-2015. Only eight cancer types have enough normal control samples for differential expression analysis.
(t test, adjusted p<0.05 (using Benjamini-Hochberg FDR))

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CNV vs Gene Expression Plot

* This plots show the correlation between CNV and gene expression.

: Open all plots for all cancer types

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Gene-Gene Network Information

Co-Expressed gene's network Plot

* Co-Expression network figures were drawn using R package igraph. Only the top 20 genes with the highest correlations were shown.
Red circle: input gene, orange circle: cell metabolism gene, sky circle: other gene

: Open all plots for all cancer types


ACSL4,ANGPTL1,ANK2,ARHGAP31,CCDC80,CNRIP1,CORO2B, FAT4,FNDC4,IGF1,KCTD12,LIX1L,LRP1,LRRN4CL, LYVE1,MRGPRF,PTGIS,RGL1,RHOJ,TNXB,ZEB2	ABI3BP,AHNAK2,AXL,C1QTNF2,CILP,DNM1,F10, GFPT2,GPR133,LMX1A,MAP1A,MFAP4,NT5E,PODN, PROCR,PTGIS,SCARA5,SSC5D,TIMP2,TMEM35,XG

AOC3,BHMT2,BOC,CCDC80,CDO1,CPXM2,CRYAB, EFEMP1,FBLN5,HTR2B,ITGA7,LHFP,MAP1B,PTGER3, PTGIS,SLIT2,SLIT3,SYNPO,TMEM130,TNS1,ZFHX4	A4GALT,ABCA3,ANK2,BOC,CHST3,COL8A1,DBN1, EBF3,FBN1,FGFR1,FSTL1,GPR133,HSPA12A,MAP1B, NAP1L3,NLGN2,PALM,PTGIS,SYT11,TMTC1,ZBTB47

Co-Expressed gene's Protein-protein interaction Network Plot

: Open all plots for all cancer types

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Interacting Genes (from Pathway Commons)

: Open all interacting genes' information including KEGG pathway for all interacting genes from DAVID

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Pharmacological Information for PTGIS

Cross-referenced pharmacological DB IDs from Uniprot

DB Category

DB Name

DB's ID and Url link

Drug-Gene Interaction Network

* Gene Centered Interaction Network.

* Drug Centered Interaction Network.

DrugBank ID	Target Name	Drug Groups	Generic Name	Drug Centered Network	Drug Structure
DB00812	prostaglandin I2 (prostacyclin) synthase	approved	Phenylbutazone
DB01240	prostaglandin I2 (prostacyclin) synthase	approved	Epoprostenol
DB08675	prostaglandin I2 (prostacyclin) synthase	experimental	(6E)-7-{6-[(1E)-OCT-1-ENYL]-2,3-DIAZABICYCLO[2.2.1]HEPT-2-EN-5-YL}HEPT-6-ENOIC ACID
DB00564	prostaglandin I2 (prostacyclin) synthase	approved; investigational	Carbamazepine
DB00252	prostaglandin I2 (prostacyclin) synthase	approved	Phenytoin
DB00917	prostaglandin I2 (prostacyclin) synthase	approved	Dinoprostone
DB00482	prostaglandin I2 (prostacyclin) synthase	approved; investigational	Celecoxib

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Cross referenced IDs for PTGIS

* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section

: Open all cross reference information