Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

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Bioinformatics and Systems Medicine Laboratory Bioinformatics and Systems Medicine Laboratory

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 BSG
Basic gene info.Gene symbolBSG
Gene namebasigin (Ok blood group)
Synonyms5F7|CD147|EMMPRIN|M6|OK|TCSF
CytomapUCSC genome browser: 19p13.3
Genomic locationchr19 :572453-583493
Type of geneprotein-coding
RefGenesNM_001728.3,
NM_198589.2,NM_198590.2,NM_198591.2,
Ensembl idENSG00000172270
DescriptionCD147 antigenOK blood group antigenbasigincollagenase stimulatory factorextracellular matrix metalloproteinase inducerleukocyte activation antigen M6tumor cell-derived collagenase stimulatory factor
Modification date20141222
dbXrefs MIM : 109480
HGNC : HGNC
Ensembl : ENSG00000172270
HPRD : 00176
Vega : OTTHUMG00000177718
ProteinUniProt: P35613
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_BSG
BioGPS: 682
Gene Expression Atlas: ENSG00000172270
The Human Protein Atlas: ENSG00000172270
PathwayNCI Pathway Interaction Database: BSG
KEGG: BSG
REACTOME: BSG
ConsensusPathDB
Pathway Commons: BSG
MetabolismMetaCyc: BSG
HUMANCyc: BSG
RegulationEnsembl's Regulation: ENSG00000172270
miRBase: chr19 :572,453-583,493
TargetScan: NM_001728
cisRED: ENSG00000172270
ContextiHOP: BSG
cancer metabolism search in PubMed: BSG
UCL Cancer Institute: BSG
Assigned class in ccmGDBA - This gene has a literature evidence and it belongs to cancer gene.
References showing role of BSG in cancer cell metabolism1. Marchiq I, Le Floch R, Roux D, Simon MP, Pouyssegur J (2015) Genetic disruption of lactate/H+ symporters (MCTs) and their subunit CD147/BASIGIN sensitizes glycolytic tumor cells to phenformin. Cancer Res 75: 171-180. doi: 10.1158/0008-5472.CAN-14-2260. go to article
2. Granja S, Marchiq I, Le Floch R, Moura CS, Baltazar F, et al. (2015) Disruption of BASIGIN decreases lactic acid export and sensitizes non-small cell lung cancer to biguanides independently of the LKB1 status. Oncotarget 6: 6708-6721. pmid: 4466644. go to article

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Phenotypic Information for BSG(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: BSG
Familial Cancer Database: BSG
* 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/

check002.gifMetabolic Pathway Description
REACTOME_PYRUVATE_METABOLISM_AND_CITRIC_ACID_TCA_CYCLE
REACTOME_PYRUVATE_METABOLISM

check002.gifOthers
OMIM 109480; gene.
111380; phenotype.
Orphanet
DiseaseKEGG Disease: BSG
MedGen: BSG (Human Medical Genetics with Condition)
ClinVar: BSG
PhenotypeMGI: BSG (International Mouse Phenotyping Consortium)
PhenomicDB: BSG

Mutations for BSG
* 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.

check002.gifStructural Variants in COSMIC: go to COSMIC mutation histogram
There's no structural variation information in COSMIC data for this gene.

check002.gifRelated fusion transcripts : go to Chitars2.0
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows BSG related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BP379102ACTB1419755688205570232BSG41956819580716581397
DA210402BSG132819572596580441SLC1A332955553668631036686536
XX000018BSG18319580706580787NFIX76151191313583313135908
BG491011BSG1510719580384580660BSG10492519580655583075
BF762451BSG87819583357583428FBXL1976242163093581930935985
AA535665BSG1021019583091583290BSG20635119583296583441
BM706468BSG148419581372581442BSG8048419581435582903
AA570609BSG820819583091583290BSG20434819583296583441
BG333059BSG1510719580384580660BSG10482119580655582966
AW973156BSG11431319583091583290BSG30945419583296583441
CA422684BSG1856519582940583487BSG55064719582859583230
BF819563BSG929319579499580692ZKSCAN128857279961328199621265

check002.gifOther DBs for Structural Variants
Structural Variants in Ensembl: go to Ensembl Structural variation
Structural Variants in dbVar: go to dbVar

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check002.gifCopy 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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check002.gifSNV 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=2

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=22)
Stat. for Synonymous SNVs
(# total SNVs=11)
Stat. for Deletions
(# total SNVs=2)
Stat. for Insertions
(# total SNVs=0)
There's no inserted snv.

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check002.gifTop 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 positionMutation(aa)Unique sampleID count
chr19:579577-579577p.E165K2
chr19:581455-581455p.Q311H2
chr19:579603-579603p.G175fs*42
chr19:579609-579609p.G175G2
chr19:579627-579627p.D181D2
chr19:580426-580426p.P207L2
chr19:580665-580665p.A225A2
chr19:580705-580705p.M239V1
chr19:577915-577915p.L70P1
chr19:579583-579583p.T167S1

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check002.gifSNV 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 ID1234567891011121314151617181920
# sample11 3  21   1 1  31 4
# mutation11 3  21   1 1  41 4
nonsynonymous SNV11     1   1 1  21 2
synonymous SNV   3  2         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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check002.gifTop 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 PositionMutation(aa)Unique sampleID count
chr19:580426p.P27L,BSG2
chr19:580728p.I95I1
chr19:577991p.R137R,BSG1
chr19:580761p.A110A1
chr19:578036p.S111N1
chr19:580779p.S46S,BSG1
chr19:578038p.A47T,BSG1
chr19:581345p.H53R,BSG1
chr19:579570p.G59G,BSG1
chr19:581411p.P41L,BSG1

check002.gifOther 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

check002.gifCopy Number for BSG 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 BSG

check002.gifGene 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.

check002.gifDifferential 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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check002.gifCNV 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
check002.gifCo-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

AES,ATP5D,BSG,R3HDM4,C19orf24,C9orf16,CDC34,
COPE,COX4I1,FKBP2,GPX4,LSM7,POLR2E,RNF126,
RPS15,SERF2,SF3A2,SGTA,SIRT6,UQCR11,ZNHIT1
BSG,C20orf27,CNPPD1,DCXR,EIF4EBP1,ETFB,FPGS,
GCDH,GCHFR,HSD17B10,MPST,MRPL53,PCYT2,PLEKHJ1,
PMM1,POLR2E,PQLC1,PSMA7,SLC2A4RG,TP53I13,TSPO

ALDOA,ATG4D,ATP5D,BSG,C19orf10,C19orf24,CDC34,
COPE,COX8A,ECHS1,ELOF1,FKBP8,GAPDH,INO80C,
NCLN,NDUFS7,POLR2E,PSMD9,RNF126,SGTA,WIBG
ANXA11,ARF3,BSG,CNPPD1,C4orf48,CA4,CAPN2,
CEACAM7,RHOV___CHP1,CLIP2,FUT3,GBA,LITAF,MFSD11,
MGLL,PEX26,PKIB,PPARG,RUNDC1,TMEM171,TPRN
check002.gifCo-Expressed gene's Protein-protein interaction 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

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check002.gifInteracting 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 BSG


There's no related Drug.
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Cross referenced IDs for BSG
* 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



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