MSMB

gene
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Also known as PSP-94PSP57PSP94IGBFMSPMSPBPN44PRPSPSP

Summary

MSMB (microseminoprotein beta, HGNC:7372) is a protein-coding gene on chromosome 10q11.22, encoding Beta-microseminoprotein (P08118).

The protein encoded by this gene is a member of the immunoglobulin binding factor family. It is synthesized by the epithelial cells of the prostate gland and secreted into the seminal plasma. This protein has inhibin-like activity. It may have a role as an autocrine paracrine factor in uterine, breast and other female reproductive tissues. The expression of the encoded protein is found to be decreased in prostate cancer. Two alternatively spliced transcript variants encoding different isoforms are described for this gene. The use of alternate polyadenylation sites has been found for this gene.

Source: NCBI Gene 4477 — RefSeq curated summary.

At a glance

  • Gene–disease (curated): prostate cancer, hereditary, 13 (Limited, GenCC)
  • GWAS associations: 18
  • Clinical variants (ClinVar): 17 total
  • MANE Select transcript: NM_002443

Identifiers

Gene identifiers

FieldValue
HGNC IDHGNC:7372
Approved symbolMSMB
Namemicroseminoprotein beta
Location10q11.22
Locus typegene with protein product
StatusApproved
AliasesPSP-94, PSP57, PSP94, IGBF, MSP, MSPB, PN44, PRPS, PSP
Ensembl geneENSG00000263639
Ensembl biotypeprotein_coding
OMIM157145
Entrez4477

Gene structure

Transcript identifiers

Ensembl transcripts: 3 — 3 protein_coding

ENST00000581478, ENST00000582163, ENST00000663171

RefSeq mRNA: 2 — MANE Select: NM_002443 NM_002443, NM_138634

CCDS: CCDS73095, CCDS73096

Canonical transcript exons

ENST00000582163 — 4 exons

ExonStartEnd
ENSE000026856054603331346033551
ENSE000035201994604623546046269
ENSE000035438974603998646040091
ENSE000036604574603896646039071

Expression profiles

Bgee: expression breadth ubiquitous, 179 present calls, max score 99.93.

FANTOM5 (CAGE): breadth tissue_specific, TPM avg 2.6518 / max 1231.5593, expressed in 142 samples.

FANTOM5 promoters (2 alternative TSS)

Promoter IDTPM avgSamples expressed
1092682.6247140
1092670.027114

Top tissues by expression

289 total, by Bgee expression score (0-100, higher = more expressed):

TissueAnatomy IDExpression scoreQuality
tracheaUBERON:000312699.93gold quality
nasal cavity epitheliumUBERON:000538499.89gold quality
bronchial epithelial cellCL:000232899.78gold quality
bronchusUBERON:000218599.75gold quality
nasal cavity mucosaUBERON:000182699.74gold quality
epithelium of bronchusUBERON:000203199.74gold quality
olfactory segment of nasal mucosaUBERON:000538699.58gold quality
prostate glandUBERON:000236798.21gold quality
spermCL:000001997.70gold quality
palpebral conjunctivaUBERON:000181297.04gold quality
epithelium of nasopharynxUBERON:000195196.61gold quality
mucosa of paranasal sinusUBERON:000503095.51gold quality
male germ cellCL:000001593.55gold quality
pylorusUBERON:000116692.54gold quality
urethraUBERON:000005790.80gold quality
primordial germ cell in gonadCL:0000670 ∩ UBERON:000099189.79gold quality
male germ line stem cell (sensu Vertebrata) in testisCL:0000089 ∩ UBERON:000047387.73gold quality
skin of legUBERON:000151187.11gold quality
skin of abdomenUBERON:000141685.56gold quality
zone of skinUBERON:000001484.75gold quality
pharyngeal mucosaUBERON:000035583.84gold quality
minor salivary glandUBERON:000183083.24gold quality
saliva-secreting glandUBERON:000104481.27gold quality
upper arm skinUBERON:000426380.73gold quality
mammalian vulvaUBERON:000099780.66gold quality
adult organismUBERON:000702379.48gold quality
body of stomachUBERON:000116179.06gold quality
pancreatic ductal cellCL:000207978.69silver quality
stomachUBERON:000094578.51gold quality
mouth mucosaUBERON:000372978.10gold quality

Single-cell (SCXA)

Detected in 4 experiment(s), a significant marker in 4.

ExperimentMarker?Max mean expression
E-ANND-2yes7948.40
E-CURD-114yes53.58
E-HCAD-1yes8.29
E-ANND-3no0.00

Regulation

Is transcription factor: no

Upstream regulators (CollecTRI, top): CNOT7, CNOT8, CREB1, EZH2

miRNA regulators (miRDB)

7 targeting MSMB, top 30 by miRDB confidence (max_score; target_count = how many genes the miRNA targets in total — lower means more specific):

miRNAMax scoreAvg scoremiRNA target_count
HSA-MIR-6513-3P99.5969.771102
HSA-MIR-478499.1567.411733
HSA-MIR-3150B-3P98.8167.211728
HSA-MIR-6866-5P96.6468.06624
HSA-MIR-550B-2-5P96.5664.61646
HSA-MIR-24-1-5P95.5765.85492
HSA-MIR-24-2-5P95.5766.16484

Literature-anchored findings (GeneRIF, showing 40)

  • Ab initio structure of human seminal plasma prostatic inhibin gives significant insight into its biological functions. (PMID:12032598)
  • a new blood protein (PSPBP) is identified that binds PSP94 (PMID:15344909)
  • NMR solution structure (PMID:16930619)
  • Bound/free PSP94 is a novel and independent prognostic markers following radical prostatectomy for prostate cancer. (PMID:17062675)
  • Our data disclose a hitherto unexplored link between the putative oncogene EZH2 and the tumor suppressor PSP94, and show that MSMB is silenced by EZH2 in advanced prostate cancer cells. (PMID:17237810)
  • both native PSP94 as well as modified protein have the ability to bind human IgG, suggesting the involvement of sequential epitopes of PSP94 in IgG binding (PMID:17493883)
  • Predictor of recurrence after radical prostatectomy for localized prostate cancer. (PMID:17634540)
  • MSP in serum can be used as a marker of prostate secretion, despite the contribution from extra prostatic tissues. (PMID:18222915)
  • A tentative structure for the hMSP-CRISP-3 complex using the known crystal structure of triflin as a model of CRISP-3 was presented. (PMID:19026612)
  • alternative splicing variants, M-RIP, HYAL2, CDCA1, and MSMB genes showed differential expressions between cancer cells and corresponding normal tissues. (PMID:19081476)
  • The observations that rs10993994 is the strongest associated variant in the region and its risk allele has a major effect on the transcriptional activity of MSMB suggest the T allele as a causal variant that confers increased risk of prostate cancer. (PMID:19153072)
  • PSP94 has been purified from human seminal plasma and crystallized. (PMID:19342788)
  • a common variant in MSMB on chromosome 10q11.2 is associated with prostate cancer susceptibility (PMID:19383797)
  • beta-Microseminoprotein was purified using anion-exchange and size-exclusion chromatography and the purified protein was crystallized using 0.1 M ammonium sulfate, 0.1 M HEPES buffer pH 7.0 and 20%(w/v) PEG 3350 (PMID:19407392)
  • For the two SNPs that had significant differences between more and less aggressive disease, KLK3 and MSMB, the alleles that are associated with increased risk for prostate cancer were more frequent in patients with less aggressive disease. (PMID:19434657)
  • We conclude that MSMB is unlikely to be a familial prostate cancer gene.The high-risk alleles may effect prostate cancer risk by modifying MSMB gene expression in response to hormones in a tissue-specific manner. (PMID:19997100)
  • Crystal structure shows that these edges from two PSP94 monomers associate in antiparallel fashion, leading to formation of a dimer. (PMID:20184897)
  • A single-nucleotide polymorphism in the MSMB promoter contributes to the genetic predisposition to prostate cancer in the southern Chinese Han population. (PMID:20333697)
  • we identifiedand genotyped novel single-nucleotide polymorphisms in cancer cases and controls which verified prior associations in KLK2 and in MSMB (but not in KLK3) with prostate cancer (PMID:20424135)
  • High MSMB expression is associated with the development of prostate cancer. (PMID:20569440)
  • Either PSP94 or CRISP-3 alone can induce growth inhibition in prostate cancer cells in a cell line specific manner. (PMID:20676114)
  • MSMB expression is influenced by androgens, but also by genotype and epigenetic silencing. (PMID:20680031)
  • SNPs at MSMB correlate with physiologic variation in beta-MSP and PSA levels in the blood and semen of healthy young Swedish men. In particular, rs10993994 has a strong effect on beta-MSP levels. (PMID:20696662)
  • Authors examines the association between rs10993994 genotype and MSP levels in a sample of 500 prostate cancer-free men from four racial/ethnic populations in the Multiethnic Cohort (European Americans, African Americans, Latinos, and Japanese Americans). (PMID:20736317)
  • provide the first link between a low penetrance polymorphism for prostate cancer and a potential test in human tissue and bodily fluids (PMID:20967219)
  • Suppression of MSMB expression or NCOA4 overexpression promotes anchorage-independent growth of prostate epithelial cells. (PMID:21085629)
  • MSMB is a strong independent factor, predicting favorable outcome after radical prostatectomy for localized prostate cancer. (PMID:21240253)
  • These data identify beta-microseminoprotein as an important innate immune factor active against C. albicans and may help explain the low sexual transmission rate of Candida. (PMID:22496651)
  • Computational network analysis reveals that the MSMB gene is functionally connected to NCOA4 and the androgen receptor signaling pathway. The data provide an example of how GWAS-associated variants may have multiple genetic and epigenetic effects (PMID:22661295)
  • Data indicate that the increase in prostate cancer (PC) risk associated with rs10993994:C>T is likely mediated by the variant’s effect of MSMB-encoded protein PSP94 expression; however, this effect does not extend to NCOA4 in the data. (PMID:22887727)
  • MSMB and CRISP3 were widely distributed in ovaries and in ovarian tumors; the expression of MSMB fits well with a tumor-suppressor function in ovarian carcinogenesis. (PMID:22993349)
  • Involvement of the hinge region of CRISPs in interaction with PSP94 may affect the domain movement of CRISPs essential for the ion-channel regulatory activity resulting in inhibition of this activity. (PMID:23375721)
  • Two SNPs, in beta-microseminoprotein at and in kallikrein-related peptidase 2 at, are associated with PCA3 score at genome-wide significance level (PMID:23555189)
  • Han Chinese men carrying the MSMB variant have an increased risk of spermatogenic failure associated with male infertility. (PMID:23608167)
  • The rs10993994 genotype in the MSMB gene modifies the association between number of sexual partners and prostate cancer risk. (PMID:24037734)
  • Beta-microseminoprotein in urine was statistically lower in prostate cancer patients. (PMID:24115268)
  • Data indicate that prostate secretory protein PSP94 is decreased in an ovarian cancer drug-resistant cell line, and plays an important role in the development of drug resistance in vitro. (PMID:24186202)
  • PSP94 regulate the Lin28/Let-7 loop in ovarian cancer cells. (PMID:25188517)
  • Based on nasopharyngeal MSP gene expression in readily available Nasopharyngeal aspirate samples , we can discriminate between severity of disease in Respiratory syncytial virus infected infants. (PMID:25261323)
  • decreased expression of MSMB parallels the clinical progression of PC and adjusted serum MSMB levels are associated with PC risk (PMID:26939004)

Cross-species orthologs

4 orthologs

OrganismSymbolGene ID
danio_reriomsmblENSDARG00000095807
danio_reriosi:ch73-132k15.2ENSDARG00000095867
mus_musculusMsmbENSMUSG00000021907
rattus_norvegicusMsmbENSRNOG00000039786

Paralogs (1): MSMP (ENSG00000215183)

Protein

Protein identifiers

Beta-microseminoproteinP08118 (reviewed: P08118)

Alternative names: Immunoglobulin-binding factor, PN44, Prostate secreted seminal plasma protein, Prostate secretory protein of 94 amino acids, Seminal plasma beta-inhibin

All UniProt accessions (2): A0A590UJG9, P08118

UniProt curated annotations — full annotation on UniProt →

Subunit / interactions. Homodimer; Interacts with PI16.

Subcellular location. Secreted.

Tissue specificity. Strongly expressed in prostate, liver, kidney, breast and penis. Also expressed in pancreas, esophagus, stomach, deodenum, colon, trachea, lung, salivary glands and fallopian tube. PSP94 is expressed in lung and breast, whereas PSP57 is found in kidney and bladder.

Disease relevance. Prostate cancer, hereditary, 13 (HPC13) [MIM:611928] A condition associated with familial predisposition to cancer of the prostate. Most prostate cancers are adenocarcinomas that develop in the acini of the prostatic ducts. Other rare histopathologic types of prostate cancer that occur in approximately 5% of patients include small cell carcinoma, mucinous carcinoma, prostatic ductal carcinoma, transitional cell carcinoma, squamous cell carcinoma, basal cell carcinoma, adenoid cystic carcinoma (basaloid), signet-ring cell carcinoma and neuroendocrine carcinoma. Disease susceptibility is associated with variants affecting the gene represented in this entry.

Miscellaneous. Specific receptors for this protein are found on spermatozoa and in the prostate.

Similarity. Belongs to the beta-microseminoprotein family.

Isoforms (2)

UniProt IDNamesCanonical?
P08118-1PSP94yes
P08118-2PSP57

RefSeq proteins (2): NP_002434, NP_619540 (=MANE)

Domains & families (InterPro)

IDNameType
IPR008735PSP94Family

Pfam: PF05825

UniProt features (30 total): sequence variant 9, strand 9, disulfide bond 5, splice variant 2, signal peptide 1, chain 1, sequence conflict 1, turn 1, helix 1

Structure

Experimental structures (PDB)

2 structures.

PDBMethodResolution (Å)
3IX0X-RAY DIFFRACTION2.3
2IZ3SOLUTION NMR

Predicted structure (AlphaFold)

ModelpLDDTFraction very-high
AF-P08118-F189.040.74

Functional residue map

Curated UniProt residues grouped by drug-discovery relevance — catalytic, ligand-binding, modification, and mutation-validated positions. Source: UniProtKB sequence features.

Disulfide bonds (5): 22–70, 38–62, 57–93, 60–69, 84–107

Function

Pathways and Gene Ontology

Reactome pathways

0 pathways

MSigDB gene sets: 104 (showing top): GSE45365_CD8A_DC_VS_CD11B_DC_IFNAR_KO_DN, GSE37336_LY6C_POS_VS_NEG_NAIVE_CD4_TCELL_DN, FREAC2_01, GOZGIT_ESR1_TARGETS_DN, RACCACAR_AML_Q6, FOXO4_01, STOSSI_RESPONSE_TO_ESTRADIOL, EFC_Q6, SENGUPTA_NASOPHARYNGEAL_CARCINOMA_DN, SMID_BREAST_CANCER_LUMINAL_B_UP, MODULE_165, HFH1_01, MODULE_88, AML1_01, MODULE_6

GO Biological Process (0):

GO Molecular Function (1): protein binding (GO:0005515)

GO Cellular Component (3): obsolete extracellular space (GO:0005615), nucleus (GO:0005634), extracellular region (GO:0005576)

GO top-level categories

Rollup of top GO terms by namespace:

CategoryTerms
binding1
intracellular membrane-bounded organelle1
cellular anatomical structure1

Protein interactions and networks

STRING

908 interactions, top by confidence (×1000):

Protein AProtein BPartner UniProtScore
MSMBGZMKP49863980
MSMBPRPS1L1P21108926
MSMBPRPS1P09329919
MSMBPRPS2P11908898
MSMBKLK3P07288884
MSMBACP3P15309880
MSMBR4GMX3R4GMX3879
MSMBBMI1P35226878
MSMBKLK2P20151873
MSMBPI16Q6UXB8844
MSMBTGM4P49221836
MSMBPRNPP04156802
MSMBKLKB1P03952798
MSMBMSMPQ1L6U9777
MSMBSLC45A3Q96JT2769

IntAct

6 interactions, top by confidence:

ABTypeScore
SGTAMSMBpsi-mi:“MI:0915”(physical association)0.560
MSMBSGTApsi-mi:“MI:0915”(physical association)0.560
HAT1CSTApsi-mi:“MI:0914”(association)0.350
MSMBADAM11psi-mi:“MI:0914”(association)0.350

BioGRID (49): SGTA (Two-hybrid), HAT1 (Affinity Capture-MS), ACPP (Affinity Capture-MS), SEMG1 (Affinity Capture-MS), KLK3 (Affinity Capture-MS), SEMG2 (Affinity Capture-MS), MSMB (Affinity Capture-MS), MSMB (Affinity Capture-MS), CSTA (Affinity Capture-MS), PEX6 (Affinity Capture-MS), DNPEP (Affinity Capture-MS), BMP1 (Affinity Capture-MS), ARF6 (Affinity Capture-MS), OAF (Affinity Capture-MS), TMEM67 (Affinity Capture-MS)

ESM2 similar proteins: A0A2P1BSU3, A1BN60, A7VN14, A7VN15, A7VN16, A7VN17, B3F211, O02826, O08540, O42146, O57340, O97935, O97936, O97949, P01001, P01215, P01220, P01225, P01226, P01228, P04155, P08118, P0C552, P0C553, P0DKR6, P0DQG7, P16035, P16368, P25142, P49122, P58062, P83242, P97580, Q28767, Q2PUH2, Q3HRV5, Q3YC03, Q53B52, Q63467, Q863T4

Diamond homologs: A7VN13, A7VN14, A7VN15, A7VN16, A7VN17, O97935, O97936, O97949, P08118, B1AWI6, O02826, O08540, P25142, P83242, P97580, Q28767, Q3UQ28, Q92626

SIGNOR signaling

0 interactions.

Disease & clinical

Clinical variants and AI predictions

ClinVar

17 variants total. Per-class counts are floors (≥ shown; pagination cap):

ClassificationCount (floor)
Pathogenic0
Likely pathogenic0
Uncertain significance12
Likely benign3
Benign0

Top pathogenic / likely-pathogenic (0)

SpliceAI

700 predictions. Top by Δscore:

VariantEffectΔscore
10:46039983:G:GGdonor_gain1.0000
10:46039985:GA:Gdonor_gain1.0000
10:46039985:GAG:Gdonor_gain1.0000
10:46039986:GGA:Gdonor_gain1.0000
10:46033550:G:GGacceptor_gain0.9900
10:46033550:GT:Gacceptor_gain0.9900
10:46033551:A:AGacceptor_gain0.9900
10:46038963:G:GGdonor_gain0.9900
10:46038967:CCCT:Cdonor_gain0.9900
10:46040090:GAAT:Gacceptor_gain0.9900
10:46033534:G:Aacceptor_gain0.9800
10:46038966:CCT:Cdonor_gain0.9800
10:46039986:GGAG:Gdonor_gain0.9800
10:46039987:AGGA:Adonor_gain0.9800
10:46039988:CAGGA:Cdonor_gain0.9800
10:46033535:T:TAacceptor_gain0.9700
10:46038965:CT:Cdonor_gain0.9700
10:46038875:GGGT:Gdonor_gain0.9600
10:46036315:T:Gacceptor_gain0.9500
10:46036315:T:TAacceptor_gain0.9500
10:46039070:G:GGacceptor_gain0.9500
10:46039071:A:AGacceptor_gain0.9500
10:46040090:G:GGacceptor_gain0.9500
10:46040090:GA:Gacceptor_gain0.9500
10:46040091:A:AGacceptor_gain0.9500
10:46035109:A:Gacceptor_gain0.9400
10:46036316:AT:Aacceptor_gain0.9400
10:46038968:ACCCT:Adonor_gain0.9400
10:46046232:G:GGdonor_gain0.9400
10:46033550:G:GCacceptor_loss0.9300

AlphaMissense

754 scored. Top likely-pathogenic:

VariantProtein changeam_pathogenicity
10:46039025:C:AW52C0.983
10:46039025:C:GW52C0.983
10:46033516:C:GC84S0.952
10:46033517:A:TC84S0.952
10:46038975:C:GC69S0.936
10:46038976:A:TC69S0.936
10:46033431:C:AW112C0.935
10:46033431:C:GW112C0.935
10:46033489:C:GC93S0.931
10:46033490:A:TC93S0.931
10:46039027:A:GW52R0.927
10:46039027:A:TW52R0.927
10:46039002:C:GC60S0.922
10:46039003:A:TC60S0.922
10:46033540:G:TP76H0.921
10:46033447:C:GC107S0.908
10:46033448:A:TC107S0.908
10:46039068:C:GC38S0.898
10:46039069:A:TC38S0.898
10:46038996:C:GC62S0.891
10:46038997:A:TC62S0.891
10:46033433:A:GW112R0.884
10:46033433:A:TW112R0.884
10:46038974:A:CC69W0.884
10:46033515:G:CC84W0.883
10:46039001:G:CC60W0.881
10:46033517:A:GC84R0.879
10:46038976:A:GC69R0.878
10:46039011:C:GC57S0.875
10:46039012:A:TC57S0.875

dbSNP variants (sampled 300 via entrez): RS1000250609 (10:46046545 T>G), RS1000288381 (10:46034313 G>A,T), RS1000694464 (10:46032961 A>C), RS1002234600 (10:46038122 G>A,C), RS1002609895 (10:46037899 A>G), RS1002991366 (10:46036652 A>G), RS1003377992 (10:46040873 G>A), RS1003847693 (10:46046992 G>T), RS1004181946 (10:46038327 G>A,C), RS1004319281 (10:46038152 A>T), RS1004645848 (10:46036656 G>A), RS1005160371 (10:46047426 C>T), RS1005375405 (10:46041508 G>A), RS1006185212 (10:46035194 G>A,C), RS1006328980 (10:46034750 A>G)

Disease associations

OMIM: gene MIM:157145 | disease phenotypes: MIM:611928

GenCC curated gene-disease

DiseaseClassificationInheritance
prostate cancer, hereditary, 13LimitedAutosomal dominant

Mondo (1): prostate cancer, hereditary, 13 (MONDO:0012758)

Orphanet (1): Familial prostate cancer (Orphanet:1331)

HPO phenotypes

0 total (0 of 0 shown, HPO-id order):

GWAS associations

18 associations (top):

StudyTraitp-value
GCST000152_2Prostate cancer9.000000e-29
GCST000154_2Prostate cancer7.000000e-13
GCST000585_12Mean corpuscular volume7.000000e-09
GCST000587_13Mean corpuscular hemoglobin6.000000e-10
GCST000750_8Prostate cancer3.000000e-08
GCST000919_5Serum prostate-specific antigen levels7.000000e-13
GCST001147_13Prostate cancer5.000000e-06
GCST001796_2Prostate-specific antigen levels5.000000e-17
GCST001946_3PCA3 expression level1.000000e-09
GCST002413_7Prostate cancer (early onset)2.000000e-07
GCST002421_2Prostate cancer3.000000e-26
GCST002703_3Prostate-specific antigen levels7.000000e-11
GCST002890_7Prostate cancer1.000000e-15
GCST003148_12Prostate cancer4.000000e-08
GCST004093_35Prostate-specific antigen levels1.000000e-50
GCST006585_427Blood protein levels0.000000e+00
GCST008231_1Prostate cancer1.000000e-10
GCST008860_28Prostate cancer5.000000e-10

EFO canonical traits (3, from GWAS)

EFO IDTrait name
EFO:0004509hemoglobin measurement
EFO:0004527mean corpuscular hemoglobin
EFO:0005127cancer biomarker measurement

MeSH disease descriptors (1)

DescriptorNameTree numbers
C567456Prostate Cancer, Hereditary, 13 (supp.)

Drugs & pharmacology

Drug and pharmacology data

Is drug target: no

PharmGKB: 1 entry (VIP=true, CPIC=false)

CTD chemical–gene interactions

39 total (human), top 30 by PubMed support.

ChemicalActions (top 5)PubMed papers
Dihydrotestosteroneaffects reaction, increases expression4
Estradioldecreases reaction, increases expression, decreases expression3
sodium arseniteaffects methylation, decreases expression2
1,2-dibromo-4-(1,2-dibromoethyl)cyclohexaneincreases expression, affects reaction2
2,3-dibromopropyl-2,4,6-tribromophenyl etherdecreases expression2
Air Pollutantsincreases abundance, increases expression, decreases expression2
Benzo(a)pyreneaffects methylation, increases expression2
Smokedecreases expression, increases abundance2
Aflatoxin B1increases expression, increases methylation2
Genisteinaffects cotreatment, increases expression, increases reaction2
Raloxifene Hydrochlorideaffects reaction, decreases expression, affects expression, affects cotreatment, increases expression2
allyl 2,4,6-tribromophenyl etherdecreases expression1
bisphenol Adecreases methylation1
potassium persulfateincreases expression1
hydroxyflutamidedecreases expression1
tris(1,3-dichloro-2-propyl)phosphatedecreases expression1
nickel sulfatedecreases expression1
procymidonedecreases expression1
pentanaldecreases expression1
bicalutamidedecreases expression1
CGP 52608affects binding, increases reaction1
enzalutamidedecreases expression1
3-hydroxy-4-prenyl-5-methoxystilbene-2-carboxylic aciddecreases expression1
Acetaminophenincreases expression1
Dexamethasoneaffects cotreatment, increases expression, increases reaction1
Diethylstilbestrolincreases expression1
Folic Acidincreases expression1
Hydrogen Peroxideaffects expression1
Linurondecreases expression1
Methylcholanthreneaffects binding, increases reaction, increases expression1

Clinical trials (associated diseases)

0 trials via MONDO — disease-level, not drug-specific.