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 ALB
Basic gene info.Gene symbolALB
Gene namealbumin
SynonymsANALBA|FDAH|PRO0883|PRO0903|PRO1341
CytomapUCSC genome browser: 4q13.3
Genomic locationchr4 :74269971-74287129
Type of geneprotein-coding
RefGenesNM_000477.5,
Ensembl idENSG00000163631
Descriptionalbumin (32 AA)albumin (AA 34)cell growth inhibiting protein 42growth-inhibiting protein 20serum albumin
Modification date20141207
dbXrefs MIM : 103600
HGNC : HGNC
Ensembl : ENSG00000163631
HPRD : 00062
Vega : OTTHUMG00000129919
ProteinUniProt: P02768
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_ALB
BioGPS: 213
Gene Expression Atlas: ENSG00000163631
The Human Protein Atlas: ENSG00000163631
PathwayNCI Pathway Interaction Database: ALB
KEGG: ALB
REACTOME: ALB
ConsensusPathDB
Pathway Commons: ALB
MetabolismMetaCyc: ALB
HUMANCyc: ALB
RegulationEnsembl's Regulation: ENSG00000163631
miRBase: chr4 :74,269,971-74,287,129
TargetScan: NM_000477
cisRED: ENSG00000163631
ContextiHOP: ALB
cancer metabolism search in PubMed: ALB
UCL Cancer Institute: ALB
Assigned class in ccmGDBA - This gene has a literature evidence and it belongs to cancer gene.
References showing role of ALB in cancer cell metabolism1. Kamphorst JJ, Nofal M, Commisso C, Hackett SR, Lu W, et al. (2015) Human pancreatic cancer tumors are nutrient poor and tumor cells actively scavenge extracellular protein. Cancer Res 75: 544-553. doi: 10.1158/0008-5472.CAN-14-2211. pmid: 4316379. go to article

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

check002.gifOthers
OMIM 103600; gene.
103600; gene.
615999; phenotype.
615999; phenotype.
Orphanet 276271; Familial dysalbuminemic hyperthyroxinemia.
276271; Familial dysalbuminemic hyperthyroxinemia.
86816; Congenital analbuminemia.
86816; Congenital analbuminemia.
DiseaseKEGG Disease: ALB
MedGen: ALB (Human Medical Genetics with Condition)
ClinVar: ALB
PhenotypeMGI: ALB (International Mouse Phenotyping Consortium)
PhenomicDB: ALB

Mutations for ALB
* 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 ALB related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BP294362ALB147547427000674274476SERPING1475582115738184557381951
BG562874APOB136722122726821228146ALB35966047427917474280877
DA643030EBNA1BP2241314368093743713713ALB41259047427008474272426
AI133546ALB1056447428324874286029ZDHHC255763881707889417078975
AI114516STK38L1194122747607027476263ALB18876747427930274283959
AV653907AOX113642201534428201535676ALB36270647428394474286870
AF119890GABPA1354212714192627142279ALB350159847427776974286973
AW072570ALB115847428681474286971APP159498212735465527394191
AF119840CMAS1647122221530222215952ALB641269947427000474286973
AF118090ZNF5361697193086362830864332ALB692169047427931374286973
AI174891ACTR324892114677181114677671ALB48375847427007874274349
AF116711ALB16727447428199674283280RPS4Y12681144Y27096432734997
AI064841RABGAP1L132111174189320174189518ALB20865447428324874285307
AI114561MSL319341X1177777911778966ALB33768047428396074286879
AI207561ALAS220340X5503549155039953ALB33864247428528674286973
W86731ALB19347427919674279288VPS13B844528100222381100222742
AI065112ALB154447428382074286942TF5396413133497528133497630
AI305112C313871966784386682029ALB37961247427001774272414
BG545312ALB240047427000474274400MALAT1388714116526737865267699
AF116645TF12403133490670133490909ALB234124247427928974286959
AI114654ALB821847428392174285332ALB21674447427925174283862
AI174917ALB16727447428199674283280RPS4Y1268691Y27096432722681
AI133207SASH3158X128929090128929147ALB5069947427000474275197
AV654807ABLIM311285148534150148534277ALB12939347427003074272458
AA884347ALB115847428681474286971APP159459212735465527372495
AI064877ALB15147428202074282070ALB4844447428329874285307
AF116688MATR3510325138631171138632200ALB1029112447428703474287129
AI110818ALB146647428085074284021ALB45563647427916074279341
DA640348KNG143173186435149186435462ALB31854547427000474272395
AI174759AHSG11633186338913186339075ALB15460947427001574274466
AF075316ALB146647428085074284021ALB45563647427916074279341
BG563936MYO18A2363172740553227405893ALB35968547428043774280766
DQ145726TXNL4B46876167209407372094903ALB863107047428599674286973
AI133116TF12403133490670133490909ALB23458247427928974283301
AU120466ARID4B3293491235456198235456218ALB33179047427000574274461
BG564023MYO18A2363172740553227405893ALB35968347428043774280763
AI207513ALB115447427000674270868SETD4148652213744478837445291

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
 
Mutation type/ Tissue IDbrcacnscervendomehaematopokidnLintestliverlungnsovarypancreprostskinstomathyrourina
Total # sample          1      
GAIN (# sample)          1      
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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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=6

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=77)
Stat. for Synonymous SNVs
(# total SNVs=26)
Stat. for Deletions
(# total SNVs=25)
Stat. for Insertions
(# total SNVs=3)

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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
chr4:74281975-74281975p.F398F6
chr4:74279174-74279174p.S294L4
chr4:74283258-74283258p.R434C4
chr4:74280861-74280861p.P390S4
chr4:74276115-74276115p.A234A4
chr4:74276060-74276060p.S216L3
chr4:74270067-74270067p.S8F3
chr4:74285296-74285296p.F575F3
chr4:74270047-74270047p.M1I2
chr4:74285285-74285288p.D573fs*62

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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=6

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample4  164 5 21 644  255111
# mutation4  134 5 21 654  297111
nonsynonymous SNV2  84 4 21 543  19518
synonymous SNV2  5  1    111  102 3
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
chr4:74281975p.F398F5
chr4:74276115p.A234A4
chr4:74283258p.S294L3
chr4:74279174p.R434C3
chr4:74280861p.R210W2
chr4:74283322p.P390S2
chr4:74276114p.H312R2
chr4:74279228p.G455E2
chr4:74276041p.F575F2
chr4:74285296p.A234V2

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 ALB 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 ALB

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

AFP,ALB,CACNG1,CHD1,GABRB3,GLDN,HTR7P1,
ITPR2,KCNC1,KIAA1467,LOC285401,MOCS1,NAPB,NELL1,
PAQR5,PCSK2,PVALB,RASSF6,SEMA5A,SNAP25,WBP11
AFP,ALB,ANGPTL3,BCO1,HNF1A-AS1,SMCO3,LINC00470___CHMP1B,
HABP2,HNF1A,KCNH6,KIF12,MIA2,MTNR1B,PKHD1,
POTED,SCARNA15,TMED6,TTLL6,UGT2B15,UTS2,ZNF385B

AHSG,ALB,APCS,APOC3,C8A,C8B,C9,
CFHR2,CFHR5,CRP,F9,FGA,FGG,GDF2,
HFE2,HPX,HRG,ITIH1,SERPINC1,SPP2,VTN
ALB,APCS,APOA2,C3P1,C8A,CFHR2,CFHR5,
CYP4A22,DNAJB8,F13B,F9,FGG,HRG,KIR3DP1,
KRTAP4-11,KRTAP5-3,LECT2,LOC100129935,LINC00160,OR1N1,SLC17A2
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 ALB
check002.gifCross-referenced pharmacological DB IDs from Uniprot
DB CategoryDB NameDB's ID and Url link
ChemistryBindingDB P02768; -.
ChemistryChEMBL CHEMBL3253; -.
ChemistryBindingDB P02768; -.
ChemistryChEMBL CHEMBL3253; -.
Organism-specific databasesPharmGKB PA24690; -.
Organism-specific databasesPharmGKB PA24690; -.
Organism-specific databasesCTD 213; -.
Organism-specific databasesCTD 213; -.

check002.gifDrug-Gene Interaction Network
* Gene Centered Interaction Network.
* Drug Centered Interaction Network.
DrugBank IDTarget NameDrug GroupsGeneric NameDrug Centered NetworkDrug Structure
DB00145albuminapproved; nutraceuticalGlycine


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Cross referenced IDs for ALB
* 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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