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 SLC22A2

Basic gene info.	Gene symbol	SLC22A2
	Gene name	solute carrier family 22 (organic cation transporter), member 2
	Synonyms	OCT2
	Cytomap	UCSC genome browser: 6q25.3
	Genomic location	chr6 :160637793-160679963
	Type of gene	protein-coding
	RefGenes	NM_003058.3, NM_153191.1,
	Ensembl id	ENSG00000112499
	Description	organic cation transporter 2solute carrier family 22 member 2
	Modification date	20141222
dbXrefs	MIM : 602608
	HGNC : HGNC
	Ensembl : ENSG00000112499
	HPRD : 04008
	Vega : OTTHUMG00000015950
Protein	UniProt: go to UniProt's Cross Reference DB Table
Expression	CleanEX: HS_SLC22A2
	BioGPS: 6582
	Gene Expression Atlas: ENSG00000112499
	The Human Protein Atlas: ENSG00000112499
Pathway	NCI Pathway Interaction Database: SLC22A2
	KEGG: SLC22A2
	REACTOME: SLC22A2
	ConsensusPathDB
	Pathway Commons: SLC22A2
Metabolism	MetaCyc: SLC22A2
	HUMANCyc: SLC22A2
Regulation	Ensembl's Regulation: ENSG00000112499
	miRBase: chr6 :160,637,793-160,679,963
	TargetScan: NM_003058
	cisRED: ENSG00000112499
Context	iHOP: SLC22A2
	cancer metabolism search in PubMed: SLC22A2
	UCL Cancer Institute: SLC22A2
Assigned class in ccmGDB	C

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Phenotypic Information for SLC22A2(metabolism pathway, cancer, disease, phenome)

Cancer Description
Cancer	CGAP: SLC22A2
	Familial Cancer Database: SLC22A2

* 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
REACTOME_ABACAVIR_TRANSPORT_AND_METABOLISM

Others
OMIM
Orphanet
Disease	KEGG Disease: SLC22A2
	MedGen: SLC22A2 (Human Medical Genetics with Condition)
	ClinVar: SLC22A2
Phenotype	MGI: SLC22A2 (International Mouse Phenotyping Consortium)
Phenotype	PhenomicDB: SLC22A2

Mutations for SLC22A2

* 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

There's no inter-chromosomal structural variation.

- For Intra-chromosomal Variations

* Intra-chromosomal variantions includes 'intrachromosomal amplicon to amplicon', 'intrachromosomal amplicon to non-amplified dna', 'intrachromosomal deletion', 'intrachromosomal fold-back inversion', 'intrachromosomal inversion', 'intrachromosomal tandem duplication', 'Intrachromosomal unknown type', 'intrachromosomal with inverted orientation', 'intrachromosomal with non-inverted orientation'.

Sample	Symbol_a	Chr_a	Start_a	End_a	Symbol_b	Chr_b	Start_b	End_b
pancreas	SLC22A2	chr6	160641959	160641979		chr6	119680562	119680582

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 SLC22A2 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

There's no copy number variation information in COSMIC data for this gene.

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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=54)	Stat. for Synonymous SNVs (# total SNVs=32)

Stat. for Deletions (# total SNVs=2)	Stat. for Insertions (# total SNVs=0)
	There's no inserted 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
chr6:160671634-160671634	p.R207C	4
chr6:160679569-160679569	p.T74M	3
chr6:160662608-160662608	p.V467I	3
chr6:160679775-160679775	p.V5V	3
chr6:160664724-160664724	p.E387K	2
chr6:160679772-160679772	p.D6D	2
chr6:160668235-160668235	p.S313Y	2
chr6:160679619-160679619	p.A57A	2
chr6:160679400-160679400	p.T130T	2
chr6:160679514-160679514	p.Y92Y	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	1	1		5	4		4		1	1		9	6	1			19	6	1	14
# mutation	1	1		5	4		4		1	1		9	6	1			22	6	1	20
nonsynonymous SNV		1		4	3		3		1	1		3	4	1			13	4		6
synonymous SNV	1			1	1		1					6	2				9	2	1	14

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
chr6:160679775	p.V5V	3
chr6:160679514	p.Y92Y	2
chr6:160664675	p.R403H	2
chr6:160679619	p.A57A	2
chr6:160679627	p.R231Q	1
chr6:160662519	p.D124D	1
chr6:160670319	p.F33F	1
chr6:160664693	p.G477V	1
chr6:160677683	p.T348T	1
chr6:160679479	p.E227K	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 SLC22A2 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 SLC22A2

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


CALCA,CRLF1,CRTAC1,CYSLTR2,FILIP1,GPR133,GUCY2GP, IL15,IRF4,LOC154822,MAPK4,PDE3A,PLA2G2A,PLA2G4A, PPARGC1A,SLAIN1,SLC22A2,SLC22A3,USH1C,VAT1L,WNT1	VRTN,C1QTNF8,C7orf33,CLPS,COL9A1,CPNE6,DKFZP434H168, DRP2,HBG2,HTR1B,ITIH3,ITLN1,KIF1A,MLC1, NKX2-3,NOBOX,P2RX1,SLC22A2,SOST,WFDC1,ZFP42

AIPL1,CARD17,CLIC2,CT62,CXorf30,ENHO,FAM131B, FAM178B,IL12RB1,ILDR2,KCNC4,LOC645431,MYH6,OR52N2, OR7C2,PSG10P,RAB9B,RAET1E,RBP4,SLC22A2,TAS2R7	C20orf166-AS1,C9orf9,CC2D2A,CTF1,DPP6,ESYT3,FAM129A, FBXL22,FXYD6,COLGALT2,KANK2,KLHDC8B,MAB21L2,MAP6, NPHP1,NPTX1,SLC22A2,STAC,TCEAL2,TUBG2,WDR17

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 SLC22A2

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
DB00331	solute carrier family 22 (organic cation transporter), member 2	approved	Metformin
DB00690	solute carrier family 22 (organic cation transporter), member 2	illicit; approved	Flurazepam
DB00988	solute carrier family 22 (organic cation transporter), member 2	approved	Dopamine
DB00126	solute carrier family 22 (organic cation transporter), member 2	approved; nutraceutical	Vitamin C
DB00122	solute carrier family 22 (organic cation transporter), member 2	approved; nutraceutical	Choline
DB00501	solute carrier family 22 (organic cation transporter), member 2	approved	Cimetidine
DB00958	solute carrier family 22 (organic cation transporter), member 2	approved	Carboplatin
DB00515	solute carrier family 22 (organic cation transporter), member 2	approved	Cisplatin
DB00526	solute carrier family 22 (organic cation transporter), member 2	approved; investigational	Oxaliplatin
DB01273	solute carrier family 22 (organic cation transporter), member 2	approved; investigational	Varenicline
DB00879	solute carrier family 22 (organic cation transporter), member 2	approved; investigational	Emtricitabine
DB00709	solute carrier family 22 (organic cation transporter), member 2	approved; investigational	Lamivudine
DB00495	solute carrier family 22 (organic cation transporter), member 2	approved	Zidovudine

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Cross referenced IDs for SLC22A2

* 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