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 TP53
Basic gene info.Gene symbolTP53
Gene nametumor protein p53
SynonymsBCC7|LFS1|P53|TRP53
CytomapUCSC genome browser: 17p13.1
Genomic locationchr17 :7571719-7578811
Type of geneprotein-coding
RefGenesNM_000546.5,
NM_001126112.2,NM_001126113.2,NM_001126114.2,NM_001126115.1,
NM_001126116.1,NM_001126117.1,NM_001126118.1,NM_001276695.1,
NM_001276696.1,NM_001276697.1,NM_001276698.1,NM_001276699.1,
NM_001276760.1,NM_001276761.1,
Ensembl idENSG00000141510
Descriptionantigen NY-CO-13cellular tumor antigen p53mutant tumor protein 53p53 tumor suppressorphosphoprotein p53transformation-related protein 53tumor protein 53
Modification date20141222
dbXrefs MIM : 191170
HGNC : HGNC
Ensembl : ENSG00000141510
HPRD : 01859
Vega : OTTHUMG00000162125
ProteinUniProt: P04637
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_TP53
BioGPS: 7157
Gene Expression Atlas: ENSG00000141510
The Human Protein Atlas: ENSG00000141510
PathwayNCI Pathway Interaction Database: TP53
KEGG: TP53
REACTOME: TP53
ConsensusPathDB
Pathway Commons: TP53
MetabolismMetaCyc: TP53
HUMANCyc: TP53
RegulationEnsembl's Regulation: ENSG00000141510
miRBase: chr17 :7,571,719-7,578,811
TargetScan: NM_000546
cisRED: ENSG00000141510
ContextiHOP: TP53
cancer metabolism search in PubMed: TP53
UCL Cancer Institute: TP53
Assigned class in ccmGDBA - This gene has a literature evidence and it belongs to cancer gene.
References showing role of TP53 in cancer cell metabolism1. Wong EYL, Wong SCC, Chan CML, Lam EKY, Ho LY, et al. (2015) TP53-induced glycolysis and apoptosis regulator promotes proliferation and invasiveness of nasopharyngeal carcinoma cells. Oncology letters 9: 569-574. go to article
2. Shen L, O’Shea JM, Kaadige MR, Cunha S, Wilde BR, et al. (2015) Metabolic reprogramming in triple-negative breast cancer through Myc suppression of TXNIP. Proceedings of the National Academy of Sciences 112: 5425-5430. go to article
3. Mishra P, Ambs S (2015) Metabolic signatures of human breast cancer. Molecular & cellular oncology 2: e992217. go to article

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Phenotypic Information for TP53(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: TP53
Familial Cancer Database: TP53
* 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 BLCA 6, BRCA 7, CLL 8, COAD 9, CRC 10, DLBCL 11, ESO 12, GBM 13, HNSC 14, KIRC 15, LAML 16, LUAD 17, LUSC 18, MEL 19, MM 20, OV 21, PRAD 22, UCEC 23, STAD 24, STAD 25, SKCM 26, THCA 27, GBM 28, HNSC 29, SCLC 30, PAAD 31,

Therapeutic Vulnerabilities in Cancer32

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,
6 http://www.nature.com/nature/journal/vaop/ncurrent/full/nature12965.html,
7 http://www.nature.com/nature/journal/v490/n7418/full/nature11412.html,
8 http://www.nature.com/nature/journal/v505/n7484/full/nature12912.html,
9 http://www.nature.com/nature/journal/v487/n7407/full/nature11252.html,
10 http://www.nature.com/nature/journal/v505/n7484/full/nature12912.html,
11 http://www.nature.com/nature/journal/v505/n7484/full/nature12912.html,
12 http://www.nature.com/nature/journal/v505/n7484/full/nature12912.html,
13 http://www.sciencedirect.com/science/article/pii/S0092867413012087,
14 https://www.sciencemag.org/content/333/6046/1157,
15 http://www.nature.com/nature/journal/v499/n7456/full/nature12222.html,
16 http://www.nejm.org/doi/full/10.1056/NEJMoa1301689,
17 http://www.sciencedirect.com/science/article/pii/S0092867412010227,
18 http://www.nature.com/nature/journal/v489/n7417/full/nature11404.html,
19 http://www.nature.com/nature/journal/v505/n7484/full/nature12912.html,
20 http://www.nature.com/nature/journal/v505/n7484/full/nature12912.html,
21 http://www.nature.com/nature/journal/v474/n7353/full/nature10166.html,
22 http://www.nature.com/nature/journal/v505/n7484/full/nature12912.html,
23 http://www.nature.com/nature/journal/v497/n7447/full/nature12113.html,
24 http://www.nature.com/ng/journal/v46/n6/full/ng.2983.html,
25 http://www.nature.com/nature/journal/v513/n7517/full/nature13480.html,
26 http://www.sciencedirect.com/science/article/pii/S0092867415006340,
27 http://www.sciencedirect.com/science/article/pii/S0092867414012380,
28 http://www.nejm.org/doi/full/10.1056/NEJMoa1402121,
29 http://www.nature.com/nature/journal/v517/n7536/full/nature14129.html,
30 http://www.nature.com/nature/journal/v524/n7563/full/nature14664.html,
31 http://www.nature.com/nature/journal/v518/n7540/full/nature14169.html,
32Therapeutic Vulnerabilities in Cancer; http://cbio.mskcc.org/cancergenomics/statius/

check002.gifMetabolic Pathway Description
Nat Rev Drug Discovery, 2013, 12: 829, doi: 10.1038/nrd4145

check002.gifOthers
OMIM 133239; phenotype.
133239; phenotype.
151623; phenotype.
151623; phenotype.
191170; gene+phenotype.
191170; gene+phenotype.
202300; phenotype.
202300; phenotype.
211980; phenotype.
211980; phenotype.
260500; phenotype.
260500; phenotype.
275355; phenotype.
275355; phenotype.
614740; phenotype.
614740; phenotype.
Orphanet 1333; Familial pancreatic carcinoma.
1333; Familial pancreatic carcinoma.
1501; Adrenocortical carcinoma.
1501; Adrenocortical carcinoma.
251576; Gliosarcoma.
251576; Gliosarcoma.
251579; Giant cell glioblastoma.
251579; Giant cell glioblastoma.
2807; Papilloma of choroid plexus.
2807; Papilloma of choroid plexus.
3318; Essential thrombocythemia.
3318; Essential thrombocythemia.
524; Li-Fraumeni syndrome.
524; Li-Fraumeni syndrome.
67038; B-cell chronic lymphocytic leukemia.
67038; B-cell chronic lymphocytic leukemia.
99860; Precursor B-cell acute lymphoblastic leukemia.
99860; Precursor B-cell acute lymphoblastic leukemia.
DiseaseKEGG Disease: TP53
MedGen: TP53 (Human Medical Genetics with Condition)
ClinVar: TP53
PhenotypeMGI: TP53 (International Mouse Phenotyping Consortium)
PhenomicDB: TP53

Mutations for TP53
* 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
pancreasTP53chr1775768907576910TP53chr1775768237576843
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 TP53 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
CB048242TP53272391775717397571951ARHGAP262363075142297940142298011
BM991038MLF2133051268571646857456TP532976141775724117572728
AA947588TP5323251775729457573268OSBPL1032052133196426231964463

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=1424

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=13383)
Stat. for Synonymous SNVs
(# total SNVs=428)
Stat. for Deletions
(# total SNVs=1122)
Stat. for Insertions
(# total SNVs=390)

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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
chr17:7578406-7578406p.R175H951
chr17:7577538-7577538p.R248Q723
chr17:7577120-7577120p.R273H713
chr17:7577121-7577121p.R273fs*72598
chr17:7577539-7577539p.R248W553
chr17:7577094-7577094p.R282G483
chr17:7577548-7577548p.G245C404
chr17:7577534-7577534p.R249S342
chr17:7578190-7578190p.Y220S277
chr17:7578212-7578212p.R213*273

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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=64

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample25161121075 136911112105101218472368 57
# mutation2580120451 80912112786594472045 38
nonsynonymous SNV2378115148 79911111776291471943 36
synonymous SNV22 553 3 1 1143  12 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
chr17:7578406p.R43H,TP5364
chr17:7577120p.R141P,TP5363
chr17:7577121p.R141C,TP5361
chr17:7577538p.R116Q,TP5343
chr17:7577539p.R116W,TP5337
chr17:7578190p.Y88C,TP5334
chr17:7577094p.R150W,TP5332
chr17:7578271p.H61R,TP5329
chr17:7578394p.H47R,TP5327
chr17:7577548p.G113S,TP5326

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 TP53 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 TP53

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.
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check002.gifProtein Expression Plot (RPPA)
*RPPA protein expression data were extracted from TCPA (The Cancer Proteome Atlas). Normalized data based on replicated based normalization (RBN) was used to draw following figures.

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

C1QBP,COX10,CTDNEP1,EIF4A1,EIF5AL1,ELAC2,GEMIN4,
METTL16,MYBBP1A,NDEL1,NUP88,PFAS,PITPNA,PLD2,
RPA1,RPL26,SCO1,SENP3,TP53,TSR1,YWHAE
BCL11A,DIRAS1,DKC1,DTNB,ETV6,GYLTL1B,H2AFY2,
IPO4,KCTD14,LAD1,LRRC8D,NONO,POLR1C,PTK7,
RCC2,SOX10,TGIF2,TP53,TRIM27,TTLL4,UCK2

COX10,DPH1,DRG2,CTDNEP1,EIF4A1,ELAC2,FXR2,
GEMIN4,GLOD4,CLUH,MED9,MYBBP1A,PELP1,RNMTL1,
SENP3,SHMT1,TMEM102,TP53,TRAPPC1,TTC19,YWHAE
ARHGEF10L,BEND3,CASP2,CDT1,EPHB2,EPHB3,FAM171A1,
GPR56,HUNK,INTS5,MAZ,MEN1,METTL13,MLEC,
MTL5,PROM2,PVRL1,RCC2,TARS2,TP53,NELFA
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 TP53
check002.gifCross-referenced pharmacological DB IDs from Uniprot
DB CategoryDB NameDB's ID and Url link
ChemistryBindingDB P04637; -.
ChemistryChEMBL CHEMBL2221344; -.
ChemistryBindingDB P04637; -.
ChemistryChEMBL CHEMBL2221344; -.
Organism-specific databasesPharmGKB PA36679; -.
Organism-specific databasesPharmGKB PA36679; -.
Organism-specific databasesCTD 7157; -.
Organism-specific databasesCTD 7157; -.

check002.gifDrug-Gene Interaction Network
* Gene Centered Interaction Network.
* Drug Centered Interaction Network.
DrugBank IDTarget NameDrug GroupsGeneric NameDrug Centered NetworkDrug Structure
DB01008tumor protein p53approved; investigationalBusulfan
DB00675tumor protein p53approvedTamoxifen
DB00269tumor protein p53approvedChlorotrianisene
DB00286tumor protein p53approvedConjugated Estrogens
DB00890tumor protein p53approvedDienestrol
DB00255tumor protein p53approvedDiethylstilbestrol
DB00783tumor protein p53approved; investigationalEstradiol
DB00655tumor protein p53approvedEstrone
DB00977tumor protein p53approvedEthinyl Estradiol
DB00958tumor protein p53approvedCarboplatin
DB00531tumor protein p53approved; investigationalCyclophosphamide
DB01248tumor protein p53approved; investigationalDocetaxel
DB00997tumor protein p53approved; investigationalDoxorubicin
DB00773tumor protein p53approvedEtoposide
DB00544tumor protein p53approvedFluorouracil
DB01229tumor protein p53approvedPaclitaxel
DB01030tumor protein p53approved; investigationalTopotecan
DB00515tumor protein p53approvedCisplatin
DB01033tumor protein p53approvedMercaptopurine
DB00563tumor protein p53approvedMethotrexate
DB01050tumor protein p53approvedIbuprofen
DB00291tumor protein p53approvedChlorambucil


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Cross referenced IDs for TP53
* 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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