Cancer Cell Metabolism Gene Database

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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 ENO1
Basic gene info.Gene symbolENO1
Gene nameenolase 1, (alpha)
SynonymsENO1L1|MPB1|NNE|PPH
CytomapUCSC genome browser: 1p36.2
Genomic locationchr1 :8921058-8939151
Type of geneprotein-coding
RefGenesNM_001201483.1,
NM_001428.3,
Ensembl idENSG00000074800
Description2-phospho-D-glycerate hydro-lyaseMYC promoter-binding protein 1alpha enolase like 1alpha-enolaseenolase-alphanon-neural enolasephosphopyruvate hydrataseplasminogen-binding proteintau-crystallin
Modification date20141222
dbXrefs MIM : 172430
HGNC : HGNC
Ensembl : ENSG00000074800
HPRD : 01400
Vega : OTTHUMG00000001773
ProteinUniProt: P06733
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_ENO1
BioGPS: 2023
Gene Expression Atlas: ENSG00000074800
The Human Protein Atlas: ENSG00000074800
PathwayNCI Pathway Interaction Database: ENO1
KEGG: ENO1
REACTOME: ENO1
ConsensusPathDB
Pathway Commons: ENO1
MetabolismMetaCyc: ENO1
HUMANCyc: ENO1
RegulationEnsembl's Regulation: ENSG00000074800
miRBase: chr1 :8,921,058-8,939,151
TargetScan: NM_001201483
cisRED: ENSG00000074800
ContextiHOP: ENO1
cancer metabolism search in PubMed: ENO1
UCL Cancer Institute: ENO1
Assigned class in ccmGDBA - This gene has a literature evidence and it belongs to cancer gene.
References showing role of ENO1 in cancer cell metabolism1. Bobrovnikova-Marjon E, Hurov JB (2014) Targeting metabolic changes in cancer: novel therapeutic approaches. Annu Rev Med 65: 157-170. doi: 10.1146/annurev-med-092012-112344. go to article
2. Konieczna A, Szczepanska A, Sawiuk K, Wegrzyn G, Lyzen R (2015) Effects of partial silencing of genes coding for enzymes involved in glycolysis and tricarboxylic acid cycle on the enterance of human fibroblasts to the S phase. BMC Cell Biol 16: 16. doi: 10.1186/s12860-015-0062-8. pmid: 4446904. go to article
3. Fu QF, Liu Y, Fan Y, Hua SN, Qu HY, et al. (2015) Alpha-enolase promotes cell glycolysis, growth, migration, and invasion in non-small cell lung cancer through FAK-mediated PI3K/AKT pathway. J Hematol Oncol 8: 22. doi: 10.1186/s13045-015-0117-5. pmid: 4359783. go to article
4. Muller FL, Colla S, Aquilanti E, Manzo VE, Genovese G, et al. (2012) Passenger deletions generate therapeutic vulnerabilities in cancer. Nature 488: 337-342. doi: 10.1038/nature11331. pmid: 3712624. go to article
5. Migneco G, Whitaker-Menezes D, Chiavarina B, Castello-Cros R, Pavlides S, et al. (2010) Glycolytic cancer associated fibroblasts promote breast cancer tumor growth, without a measurable increase in angiogenesis: evidence for stromal-epithelial metabolic coupling. Cell Cycle 9: 2412-2422. go to article

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Phenotypic Information for ENO1(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: ENO1
Familial Cancer Database: ENO1
* 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
KEGG_GLYCOLYSIS_GLUCONEOGENESIS
BIOCARTA_GLYCOLYSIS_PATHWAY
REACTOME_METABOLISM_OF_CARBOHYDRATES
REACTOME_GLUCOSE_METABOLISM

check002.gifOthers
OMIM 172430; gene.
172430; gene.
Orphanet
DiseaseKEGG Disease: ENO1
MedGen: ENO1 (Human Medical Genetics with Condition)
ClinVar: ENO1
PhenotypeMGI: ENO1 (International Mouse Phenotyping Consortium)
PhenomicDB: ENO1

Mutations for ENO1
* 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

- Statistics for Tissue and Mutation typeTop
- 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'.
SampleSymbol_aChr_aStart_aEnd_aSymbol_bChr_bStart_bEnd_b
ovaryENO1chr189376308937650chr188915968891616
pancreasENO1chr189333208933320CAPZBchr11970396919703969
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)

check002.gifRelated fusion transcripts : go to Chitars2.0
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows ENO1 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
AW362574ENO1154189264328926485COL4A24915913111121594111125307
BM015435ENO11302189264418928094CCDC90A29463661378786213788202
DA702843IFI161781158979716158979793ENO179508189280478938749
BU192820IQCG424793197677812197682722ENO1474800189253768926493
AY703046AKNA122349117098442117122378ENO122352315189386508938730
BG611652ENO12398189280768938745MAPRE1398750203142454231434538
BQ940416ESYT215777158524160158524736ENO1577720189386438938785
AK090592CCDC5815523122078635122102074ENO15512328189210638938746
CR993092EXOSC61226167028557570285799ENO1222560189271888932037
BQ292604ENO122452189263948930570RPA14515621717838371783948
AA157183LGMN185149321486893214953ENO186422189280608938673
AW074340ENO13156189210678921220APP152362212725399827264161
CA419890ENO120127189233478924001ENO1122550189239618926377
BE268890ICAM243175176208405962097977ENO1175455189319498938728
DA665291LOC1005074121106?112074112179ENO1106513189280638938743
BG389117ARHGDIB1461121509771115114517ENO1462746189315428938731
BG036247ENO11271189212088921478ENO1266431189210648921229
U88968ENO111169189210628926511ENO111691346189348848938723
BQ360948ENO1985189212558921333ENO180150189211668921235
BQ646179ENO139575189210618923343CCT757579027346145073466921
BF926899SPTBN1114425489474754895594ENO1131323189311008931292
BE267696ICAM243178176208405762097977ENO1178570189280638938728
AW882184ENO113184189213718923000ENO1174236189233028923364
CN406714ENO116171189348818938698ENO1168611189264508932019
BI088704ENO11873189212388921293ENO172251189210648921242
BI023233SAAL14228111810307518103299ENO1221303189210858921167

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 1        
GAIN (# sample)                 
LOSS (# sample)      1 1        
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=3

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=18)
Stat. for Synonymous SNVs
(# total SNVs=14)
Stat. for Deletions
(# total SNVs=1)
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
chr1:8922989-8922989p.P398S2
chr1:8928072-8928072p.I95I2
chr1:8924018-8924018p.N333N2
chr1:8921451-8921451p.G425S1
chr1:8927257-8927257p.A121A1
chr1:8925355-8925355p.K285fs*311
chr1:8930530-8930530p.A74V1
chr1:8926383-8926383p.G208W1
chr1:8921452-8921452p.A424A1
chr1:8927283-8927283p.G113W1

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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
# sample21 7  112  5 2  25 6
# mutation21 6  112  5 2  15 7
nonsynonymous SNV11 3   12  4    13 5
synonymous SNV1  3  1    1 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
chr1:8922989p.P305S,ENO12
chr1:8928072p.I2I,ENO12
chr1:8922984p.C306C,ENO11
chr1:8931984p.F85F,ENO11
chr1:8925490p.L49L1
chr1:8927257p.M72I,ENO11
chr1:8934896p.L24L1
chr1:8926353p.I288F,ENO11
chr1:8927283p.N47S,ENO11
chr1:8923329p.I3V1

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 ENO1 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 ENO1

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

ATAD3A,BRI3,MSANTD3,CA9,CDC20,CTNNBIP1,ENO1,
FSCN1,GAPDH,GPI,KIAA2013,MICALL1,PFKP,PGAM1,
PKM,PLOD1,PSMB2,S100A10,TMEM201,TPI1,TUBA1C
APRT,DDOST,EIF3B,ENO1,F12,FBXW9,JMJD4,
MCM5,MRTO4,NHP2,NME1,NPM3,PAFAH1B3,PES1,
PRELID1,PRKCSH,RUVBL1,RUVBL2,SLC27A5,TRAF7,TRIP6

ACOT7,APITD1,CDC20,CDC45,CENPM,EIF5A,EIF5AL1,
ENO1,FEN1,GAPDH,H2AFZ,MRTO4,NUDC,PGAM1,
PKM,POLA2,RCC1,SNRPD1,TK1,TPI1,TUBA1B
CALR,CRELD2,DNAJB11,ENO1,GAPDH,GINS4,GMPPB,
HSPA5,HYOU1,LRRC59,NOS2,OR52I1,PDIA3,PDIA3P1,
PDIA4,PKM,PSMB2,PSMC4,PSMD2,RPN1,RPN2
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 ENO1
check002.gifCross-referenced pharmacological DB IDs from Uniprot
DB CategoryDB NameDB's ID and Url link
Organism-specific databasesPharmGKB PA27786; -.
Organism-specific databasesPharmGKB PA27786; -.
Organism-specific databasesCTD 2023; -.
Organism-specific databasesCTD 2023; -.

check002.gifDrug-Gene Interaction Network
* Gene Centered Interaction Network.
* Drug Centered Interaction Network.
DrugBank IDTarget NameDrug GroupsGeneric NameDrug Centered NetworkDrug Structure
DB04066enolase 1, (alpha)experimentalPara-Coumaric Acid


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Cross referenced IDs for ENO1
* 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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