Bladder cancer SNP panel predicts susceptibility and survival - Wikidata - wikimedia - TriplyDB

Bladder cancer SNP panel predicts susceptibility and survival

Bladder cancer SNP panel predicts susceptibility and survival

http://www.wikidata.org/entity/Q37390898

about

Human genetic variation influences vitamin C homeostasis by altering vitamin C transport and antioxidant enzyme function Telomerase reverse transcriptase locus polymorphisms and cancer risk: a field synopsis and meta-analysis Microsomal epoxide hydrolase 1 (EPHX1): Gene, structure, function, and role in human disease Genetic population structure analysis in New Hampshire reveals Eastern European ancestry Gene-gene interaction filtering with ensemble of filters Genetic variations of the PI3K-AKT-mTOR pathway and clinical outcome in muscle invasive and metastatic bladder cancer patients A novel survival multifactor dimensionality reduction method for detecting gene-gene interactions with application to bladder cancer prognosis.Genetic variants in telomere-maintenance genes and bladder cancer risk.HSD3B and gene-gene interactions in a pathway-based analysis of genetic susceptibility to bladder cancer.Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method Absence of association of a single-nucleotide polymorphism in the TERT-CLPTM1L locus with age-related phenotypes in a large multicohort study: the HALCyon programme.A screening-testing approach for detecting gene-environment interactions using sequential penalized and unpenalized multiple logistic regression Application of multi-SNP approaches Bayesian LASSO and AUC-RF to detect main effects of inflammatory-gene variants associated with bladder cancer risk.Genetic polymorphisms modify bladder cancer recurrence and survival in a USA population-based prognostic study.An Optimization-Driven Analysis Pipeline to Uncover Biomarkers and Signaling Paths: Cervix Cancer.MicroRNA-9 inhibition of cell proliferation and identification of novel miR-9 targets by transcriptome profiling in breast cancer cells.Gene-gene interaction analysis for the survival phenotype based on the Cox model.Survival analysis of patients with bladder cancer, life table approach.DNA repair gene variants are associated with an increased risk of myelodysplastic syndromes in a Czech population Statistical epistasis networks reduce the computational complexity of searching three-locus genetic models.Genetic Variation in Human Vitamin C Transporter Genes in Common Complex Diseases.Identification of potential biomarkers from microarray experiments using multiple criteria optimization Independent Replication of Published Germline Polymorphisms Associated with Urinary Bladder Cancer Prognosis and Treatment Response Body mass and smoking are modifiable risk factors for recurrent bladder cancer.Regulation and roles of bicarbonate transporters in cancer.Germline genetic markers for urinary bladder cancer risk, prognosis and treatment response.Medical genetics and epigenetics of telomerase.Genetic variants in urinary bladder cancer: collective power of the "wimp SNPs".Noninvasive approaches for detecting and monitoring bladder cancer.High-throughput RNAi screening for novel modulators of vimentin expression identifies MTHFD2 as a regulator of breast cancer cell migration and invasion.A 3'UTR polymorphism modulates mRNA stability of the oncogene and drug target Polo-like Kinase 1.Two genetic variants in telomerase-associated protein 1 are associated with stomach cancer risk.Knockdown of anion exchanger 2 suppressed the growth of ovarian cancer cells via mTOR/p70S6K1 signaling.Distinct cancer-specific survival in metastatic prostate cancer patients classified by a panel of single nucleotide polymorphisms of cancer-associated genes.A high frequency of MSH6 G268A polymorphism and survival association in glioblastoma.Polymorphisms in matrix metalloproteinases 2, 3, and 8 increase recurrence and mortality risk by regulating enzyme activity in gastric adenocarcinoma.Classification of Bladder Cancer Patients via Penalized Linear Discriminant Analysis Mitochondrial Markers for Cancer: Relevance to Diagnosis, Therapy, and Prognosis and General Understanding of Malignant Disease Mechanisms

P2860

Q27024648-5727790A-62A0-444F-80A2-2C379CB8C430 Q28265076-1AF8FFD9-C29B-4C83-84AB-5A79D576F890 Q28608628-B49D2C3A-DB12-4216-80CE-695975CAEE07 Q30438705-F43B69C2-B7C9-4497-8310-4D07000ECE9B Q33826883-D71FE699-EA31-423A-B1BB-4CC51837DAAB Q34042341-AB458219-4C98-47CA-800F-2269CAD2B9C0 Q34146248-9C1ED90D-15B3-45B3-9FBE-3A3E2F59ACEF Q34170131-AA948B71-0AA6-49ED-8418-660427E4B37A Q34320612-4AC1CD95-996D-44A7-81E5-FDBC1BA64E39 Q34550546-BDEFE9E2-7B2B-4342-9336-EF58B3E9159B Q34981178-83ED043D-2D7C-4190-B766-DB44D62037FA Q34988246-BB71E429-0B04-40C5-A3F8-F28E5BFF03D9 Q35082606-A8052FC0-34B6-42B0-9DC1-AD72EEBACFF6 Q35944928-7372C750-8A8F-4FD0-B395-912F1FBEA4F2 Q36069642-6A72F48F-7BA7-401E-BA6D-AC884C6CD020 Q36215852-47E94DE4-0DE0-4869-BD64-41916F6D46DA Q36218112-2C2948D4-AF5D-4E63-8BA2-131D379A6617 Q36562413-0CB4B961-F653-4AC9-A6BE-25593101FE41 Q36565137-513020D6-0D35-49AE-A2E4-379519205AA4 Q36655251-3E2DB727-B530-4735-9118-71335C99BAD6 Q36670980-0A135DE0-FE11-4E17-9D7F-AC696461E2AC Q36804902-E9B06C2B-3925-42E9-90AE-680B0FEAFB2C Q37054113-1CFA3AD2-4C12-4FFD-AC37-B07B5A824A8F Q37625336-D760FA60-9FDF-499B-96C2-FBA9A5EF2A57 Q37719006-BF6F421E-CC6F-4556-BDF5-74E6522ACDA9 Q37797468-CC9FD89C-DCA0-4149-BF86-71CFE5DCC933 Q37842742-DAF7E844-B4D3-43B2-A5E3-9DC4A87FBD3F Q37850339-EF224416-8E5D-4C16-81CF-7201920E83F7 Q38286089-91887CFD-63C7-4DE2-8C36-363845A91976 Q39215054-0B56EA99-BC30-412C-BC79-3368DD1129AB Q39599711-ECCD820B-3B24-40E3-93BB-87A2D1774EC7 Q40519654-503A3E49-BB5C-42BC-A5B0-D687C204A26D Q41123353-C9897ECC-3E7D-42B2-B255-78C8510F8C47 Q42152583-C18A0463-D12C-4F17-B84B-15CA21DB48F2 Q43534352-5AD66864-8FC6-48A4-923C-0D8617AABD81 Q47095977-9123FB30-E9FF-4202-AF2F-0C277A491060 Q56894034-52404856-E63D-4A8E-B7CC-B87EECC21545 Q58690234-9F135B24-7547-44AF-921B-E4766725B1E4

P2860

Bladder cancer SNP panel predicts susceptibility and survival

http://www.wikidata.org/entity/Q37390898

description

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

@pt

bilimsel makale

@tr

scientific article published on March 2009

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Bladder cancer SNP panel predicts susceptibility and survival

@en

Bladder cancer SNP panel predicts susceptibility and survival.

@nl

type

label

Bladder cancer SNP panel predicts susceptibility and survival

@en

Bladder cancer SNP panel predicts susceptibility and survival.

@nl

prefLabel

Bladder cancer SNP panel predicts susceptibility and survival

@en

Bladder cancer SNP panel predicts susceptibility and survival.

@nl

P1433

Q37390898-FD1C1A3B-3753-4A72-A6BC-5ED501AD372A

P1476

Q37390898-2D729DF7-FC9D-4521-B09F-D88168802CDE

P2093

Q37390898-3F53B31A-87A3-4E72-AB8A-4C16721301F3

Q37390898-4F4CAE61-2CB1-4F15-8C9B-49338A6700C0

Q37390898-55447137-9E59-4FE9-B306-6C35FCBB700F

Q37390898-6056549A-159F-429D-9D8E-B0E9B2B49151

Q37390898-7C1F1399-2700-441A-B0C6-1022ECC7F999

Q37390898-A4A068A0-98C7-476E-8224-6779C3B79931

Q37390898-C13462AC-ACF0-44D2-B31C-62272952E30F

Q37390898-FD2F509F-677B-4314-A892-6FC4D4E247C1

P2860

Q37390898-05F87D07-EA6B-4B2A-BD16-663727DC26C8

Q37390898-0A993EA4-2196-4A91-B8E5-814A08D2B92D

Q37390898-0E6CF5B6-7884-4003-BAE3-9D4FB45C1C1A

Q37390898-1065F79C-B185-42F1-BC73-AF06D220A647

Q37390898-1B8E5828-0D6D-492C-8101-343FEB10F4C0

Q37390898-22793E5C-E28F-404D-B115-DAC864642336

Q37390898-29D13144-C332-4463-9935-D140536DD01A

Q37390898-2E5A09CF-C3F6-410A-BAA7-D7AB2DDB240B

Q37390898-33048A24-69FA-4B77-8E35-B10813807E42

Q37390898-3357CA9A-AC69-4A3D-A955-2AB1D4DD06B1

P2888

Q37390898-99E05D17-E639-4302-A904-77E8796B8C24

P304

Q37390898-08D0276A-4873-430D-A024-329658BDFB68

P31

Q37390898-A27D24B2-FAC0-461B-9B43-7BFF58D5D36A

P356

Q37390898-BC62838E-3427-45DC-A043-4B3C718006E1

P433

Q37390898-12642328-F20E-4C17-978A-CB7BA4621652

P478

Q37390898-090652C1-5A8B-4631-89D9-9BFF51DD9C3E

P50

Q37390898-224A90A8-439A-484A-84E7-638A149FA3FD

Q37390898-C9AB9EA9-7B43-48DE-9D42-DCE84EDC90D1

P577

Q37390898-F1C0980B-CB94-42C3-A085-A6CA33D9721E

P5875

Q37390898-F8239B6D-73EE-468F-B487-65C927DF42D4

P698

Q37390898-37A4C30A-7D52-4167-8278-EFCA977C14BD

P932

Q37390898-9B0833CF-3387-4AF2-ABFF-DD7DED7AFC55

P356

S00439-009-0645-6

P1433

P1476

Bladder cancer SNP panel predicts susceptibility and survival

@en

P2093

Alan R Schned

http://www.w3.org/2001/XMLSchema#string

Angeline S Andrew

http://www.w3.org/2001/XMLSchema#string

Arthur C Sanderson

http://www.w3.org/2001/XMLSchema#string

Elaine V Morlock

http://www.w3.org/2001/XMLSchema#string

Jiang Gui

http://www.w3.org/2001/XMLSchema#string

Karl T Kelsey

http://www.w3.org/2001/XMLSchema#string

Margaret R Karagas

http://www.w3.org/2001/XMLSchema#string

Rebecca A Mason

http://www.w3.org/2001/XMLSchema#string

P2860

The prolyl isomerase Pin1 orchestrates p53 acetylation and dissociation from the apoptosis inhibitor iASPP

Polo-like kinase-1 is activated by aurora A to promote checkpoint recovery

Tissue distribution of human AKR1C3 and rat homolog in the adult genitourinary system

Cancer statistics, 2007

Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity.

Overexpression of polo-like kinase 1 (PLK1) and chromosomal instability in bladder cancer.

Genetic variation in five genes important in telomere biology and risk for breast cancer.

GSEA-SNP: applying gene set enrichment analysis to SNP data from genome-wide association studies.

Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.

Mismatch repair polymorphisms and risk of colon cancer, tumour microsatellite instability and interactions with lifestyle factors

P2888

s00439-009-0645-6

P304

527-539

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1007/S00439-009-0645-6

http://www.w3.org/2001/XMLSchema#string

P433

5-6

http://www.w3.org/2001/XMLSchema#string

P478

125

http://www.w3.org/2001/XMLSchema#string

P50

P577

2009-03-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

24147429

http://www.w3.org/2001/XMLSchema#string

P698

19252927

http://www.w3.org/2001/XMLSchema#string

P932

2763504

http://www.w3.org/2001/XMLSchema#string