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 CKM

Basic gene info.	Gene symbol	CKM
	Gene name	creatine kinase, muscle
	Synonyms	CKMM\|M-CK
	Cytomap	UCSC genome browser: 19q13.32
	Genomic location	chr19 :45809670-45826233
	Type of gene	protein-coding
	RefGenes	NM_001824.4,
	Ensembl id	ENSG00000104879
	Description	creatine kinase M chaincreatine kinase M-type
	Modification date	20141207
dbXrefs	MIM : 123310
	HGNC : HGNC
	Ensembl : ENSG00000104879
	HPRD : 00426
	Vega : OTTHUMG00000181782
Protein	UniProt: go to UniProt's Cross Reference DB Table
Expression	CleanEX: HS_CKM
	BioGPS: 1158
	Gene Expression Atlas: ENSG00000104879
	The Human Protein Atlas: ENSG00000104879
Pathway	NCI Pathway Interaction Database: CKM
	KEGG: CKM
	REACTOME: CKM
	ConsensusPathDB
	Pathway Commons: CKM
Metabolism	MetaCyc: CKM
	HUMANCyc: CKM
Regulation	Ensembl's Regulation: ENSG00000104879
	miRBase: chr19 :45,809,670-45,826,233
	TargetScan: NM_001824
	cisRED: ENSG00000104879
Context	iHOP: CKM
	cancer metabolism search in PubMed: CKM
	UCL Cancer Institute: CKM
Assigned class in ccmGDB	C

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

Cancer Description
Cancer	CGAP: CKM
	Familial Cancer Database: CKM

* 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_ARGININE_AND_PROLINE_METABOLISM REACTOME_METABOLISM_OF_AMINO_ACIDS_AND_DERIVATIVES

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

Mutations for CKM

* 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	CKM	chr19	45814910	45814930	CACNG7	chr19	54446329	54446349

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 CKM related fusion information.

ID	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
BF693845	CKM	2	56	19	45826079	45826133	MYOZ2	53	733	4	120079264	120090171
F01290	CKM	2	75	19	45818836	45821136	CKM	72	306	19	45815041	45818819
BG994088	CKM	8	281	19	45815024	45818839	PLD2	274	370	17	4714517	4714613
DV080414	MUC2	1	414	11	1075879	1078510	CKM	415	623	19	45818743	45821178

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=3

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Somatic Mutation Counts per Tissue in COSMIC data

Stat. for Non-Synonymous SNVs (# total SNVs=31)	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
chr19:45810883-45810883	p.G268D	2
chr19:45818813-45818813	p.V131I	2
chr19:45818835-45818835	p.P123P	2
chr19:45821144-45821144	p.R96H	2
chr19:45810756-45810756	p.E310E	2
chr19:45815033-45815033	p.R209R	2
chr19:45810133-45810133	p.R341W	2
chr19:45822867-45822867	p.T35T	1
chr19:45815077-45815077	p.D195N	1
chr19:45810137-45810137	p.A339A	1

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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=2

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	8	1		2					2	1			1	5	2	1	5
# mutation			1	8	1		2					2	1			1	5	2	1	5
nonsynonymous SNV			1	5	1		2					1	1			1	2		1	3
synonymous SNV				3								1					3	2		2

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
chr19:45810883	p.G268D	2
chr19:45810118	p.E346K	2
chr19:45815134	p.L277L	1
chr19:45822867	p.R96H	1
chr19:45810765	p.E87K	1
chr19:45815158	p.M272T	1
chr19:45822880	p.V72M	1
chr19:45810845	p.T35T	1
chr19:45818754	p.I263I	1
chr19:45810857	p.A31V	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 CKM 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 CKM

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


ANKRD26P1,ATP2B3,C2orf83,CELP,CKMT2,CSTB,DMD, FAM25BP,GALNT12,H2AFB1,H2BFM,H2BFWT,HTR5A,LCN15, PLA2G4E,RHOXF1,RHOXF2B,SEPT14,SLC10A1,SSX4,SSX6	ABRA,ARPP21,MLIP,C8orf22,CA3,CAV3,CKMT2, CORO6,FBXO40,HRC,LDB3,MYH1,MYOM1,NT5C1A, PGAM2,PYGM,SLC25A4,SLC36A2,SRL,SYPL2,TNNT3

ACSF2,C8orf33,CKMT2,ERP27,EYA1,FITM2,GGH, SLC52A2,HSF1,IFITM1,LY6G6D,MRPS28,POU5F1B,PPP1R16A, PTP4A3,SLC30A2,SP6,SRPX2,SYN3,TNNC2,TOP1MT	ASPN,BOK,C14orf132,CAMK2A,CASQ1,CCDC136,CKMT2, DACT3,DGKG,DMPK,DNAJB5,FREM1,HAND1,KCTD8, MYOM1,NTM,PTRF,ARHGEF26,SLC8A1,SMYD1,SNTA1

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 CKM

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
DB00148	creatine kinase, muscle	approved; nutraceutical	Creatine
DB02490	creatine kinase, muscle	experimental	(Diaminomethyl-Methyl-Amino)-Acetic Acid
DB03431	creatine kinase, muscle	experimental	Adenosine-5'-Diphosphate
DB04027	creatine kinase, muscle	experimental	D-Arginine

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Cross referenced IDs for CKM

* 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