Sixty-five gene-based risk score classifier predicts overall survival in hepatocellular carcinoma. - Wikidata - awgldk - TriplyDB

Sixty-five gene-based risk score classifier predicts overall survival in hepatocellular carcinoma.

Sixty-five gene-based risk score classifier predicts overall survival in hepatocellular carcinoma.

http://www.wikidata.org/entity/Q33766930

about

Molecular pathological epidemiology in diabetes mellitus and risk of hepatocellular carcinoma P2X3 purinergic receptor overexpression is associated with poor recurrence-free survival in hepatocellular carcinoma patients Identifying prognostic features by bottom-up approach and correlating to drug repositioning Actionable gene expression-based patient stratification for molecular targeted therapy in hepatocellular carcinoma Prognostic Biomarker Identification Through Integrating the Gene Signatures of Hepatocellular Carcinoma Properties Deciphering cancer heterogeneity: the biological space.Genomic predictors for recurrence patterns of hepatocellular carcinoma: model derivation and validation Activating CAR and β-catenin induces uncontrolled liver growth and tumorigenesis.Reciprocal interaction of Wnt and RXR-α pathways in hepatocyte development and hepatocellular carcinoma.Recurrence-associated pathways in hepatitis B virus-positive hepatocellular carcinoma.Hepatic stellate cell and monocyte interaction contributes to poor prognosis in hepatocellular carcinoma Prognostic value of DNA repair based stratification of hepatocellular carcinoma An 18 gene expression-based score classifier predicts the clinical outcome in stage 4 neuroblastoma.Yes-associated protein 1 and transcriptional coactivator with PDZ-binding motif activate the mammalian target of rapamycin complex 1 pathway by regulating amino acid transporters in hepatocellular carcinoma.Immunohistochemistry panel segregates molecular types of hepatocellular carcinoma in Brazilian autopsy cases.Loss of the nucleosome-binding protein HMGN1 affects the rate of N-nitrosodiethylamine-induced hepatocarcinogenesis in mice.Tat-activating regulatory DNA-binding protein regulates glycolysis in hepatocellular carcinoma by regulating the platelet isoform of phosphofructokinase through microRNA 520.The changing landscape of hepatocellular carcinoma: etiology, genetics, and therapy Hepatic gene expression profiles differentiate presymptomatic patients with mild versus severe nonalcoholic fatty liver disease.Neoangiogenesis-related genes are hallmarks of fast-growing hepatocellular carcinomas and worst survival. Results from a prospective study.Meta-analysis of gene expression profiles identifies differential biomarkers for hepatocellular carcinoma and cholangiocarcinoma.Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma.Inactivation of Hippo Pathway Is Significantly Associated with Poor Prognosis in Hepatocellular Carcinoma Second line systemic therapies for hepatocellular carcinoma: Reasons for the failure Human Hepatocellular Carcinomas with a Periportal Phenotype Have the Lowest Potential for Early Recurrence after Curative Resection.Hepatocellular carcinoma: a systems biology perspective.A nineteen gene-based risk score classifier predicts prognosis of colorectal cancer patients.Molecular Epidemiology of Hepatocellular Carcinoma.Integrative analysis of genomic and epigenomic regulation of the transcriptome in liver cancer.Molecular classification of hepatocellular carcinoma: potential therapeutic implications.Reply: To PMID 22105560.Tumor-adjacent tissue co-expression profile analysis reveals pro-oncogenic ribosomal gene signature for prognosis of resectable hepatocellular carcinoma.Deep Learning based multi-omics integration robustly predicts survival in liver cancer.SOX2 activation predicts prognosis in patients with head and neck squamous cell carcinoma.A gene expression signature of FOXM1 predicts the prognosis of hepatocellular carcinoma.Development Of A Three-Gene Prognostic Signature For Hepatitis B Virus Associated Hepatocellular Carcinoma Based On Integrated Transcriptomic Analysis.Prediction of sarcopenia using a combination of multiple serum biomarkers.Clinical significance of APOB inactivation in hepatocellular carcinoma

P2860

Q28076106-3760B291-7CBC-4007-81F2-4F92861D56AE Q28386398-391A1DB1-D0F0-4B2E-B4CD-769DC0C24533 Q28543844-C3FD3AEE-9376-461F-8868-0AB6EB6109C1 Q31119684-C0A8F9C8-E2F8-49DA-A9C0-04788F1857F6 Q33715750-656057B9-AB07-4840-BB0E-7C17A7309752 Q34391327-A566656A-7B47-4C50-8683-DF51C239E19C Q34764430-73343B67-CF35-47DD-A637-8AF741ACD948 Q35073171-D7FFD71C-F7D6-4412-A4B9-148A93072717 Q35147588-91419502-FAFF-4E77-B5F0-091400B0A355 Q35608091-879F6DF4-0165-4D02-88EC-FAAC7282B988 Q35889547-922B9760-CCC7-4BF2-B68B-F8B012DBF9CB Q36903275-CA71C0B7-730D-4FD4-A75F-201BB7208595 Q36911240-18A537D9-023A-4D07-9800-8CB213A00BDA Q36939981-A52E1C6F-D24D-493F-9B83-15D3F680BEA3 Q37096712-203434EF-8B84-400F-B725-D92D8CDCDF7B Q37529082-C6D8F3A1-5713-45BA-BD17-07B368F39808 Q37582377-9C5CFAC4-1B8E-47A4-B7C4-A01A9804658B Q37606028-07F77AB8-D489-4546-BB2B-A50917661813 Q37696171-1C72BE54-B1E0-4DAD-B6FF-E6046F18E2C8 Q38416518-28DC1425-9312-4AA3-98B8-51806C0EBAF8 Q38441297-6B2E5790-034C-48DF-B9E5-39351FDBE835 Q38722204-3AE56260-198D-43B3-8764-83C60DD6AD4C Q38828541-C775E420-4BC4-4B79-9AE6-10E6F4D73ED2 Q38971537-EC2B17A5-D9C0-4F47-9373-8DEC1C680E85 Q38981016-78FF0C18-82D5-4B49-9C9E-71A551142769 Q39460817-170555A7-4BE1-4058-92FF-9C307966C1F8 Q41135277-9A7A1BC9-61C2-45B4-8305-199A6263B7E6 Q41881227-A9262F12-15F5-4EE0-B73A-848DE934DD4B Q42019561-741B299B-1CD6-4CE5-8591-8B193CA7FBE6 Q43059019-2B5DC53D-3DD1-4BBA-BD24-CC80062E9447 Q44609772-CFB428CC-9ABA-4BF4-9A7D-62045E6475B3 Q47133538-BC84091C-E964-4154-927F-74B360BDEE2C Q47855807-3967AD5A-7122-43DE-AE6C-D1D5BE1C5E7E Q48157807-6E2525B4-5298-4C7D-8331-E334A4652EE6 Q48304365-4707F55D-18CD-46AC-ABA8-EEB7BF387B31 Q55107289-665E09EE-318C-4C39-BE24-17FFC2F90781 Q55384577-D2B581AA-AB50-482E-A5A1-D20BAE48A10E Q59131869-F2B87761-7EC0-4304-B519-661A867C659D

P2860

Sixty-five gene-based risk score classifier predicts overall survival in hepatocellular carcinoma.

http://www.wikidata.org/entity/Q33766930

description

2012 nî lūn-bûn

@nan

2012 թուականի Մարտին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի մարտին հրատարակված գիտական հոդված

@hy

2012年の論文

@ja

2012年論文

@yue

2012年論文

@zh-hant

2012年論文

@zh-hk

2012年論文

@zh-mo

2012年論文

@zh-tw

2012年论文

@wuu

name

Sixty-five gene-based risk sco ...... l in hepatocellular carcinoma.

@ast

Sixty-five gene-based risk sco ...... l in hepatocellular carcinoma.

@en

type

label

Sixty-five gene-based risk sco ...... l in hepatocellular carcinoma.

@ast

Sixty-five gene-based risk sco ...... l in hepatocellular carcinoma.

@en

prefLabel

Sixty-five gene-based risk sco ...... l in hepatocellular carcinoma.

@ast

Sixty-five gene-based risk sco ...... l in hepatocellular carcinoma.

@en

P1433

Q33766930-F47D94DD-2418-4B82-8ABF-629A3B5D7093

P1476

Q33766930-5EC40002-192B-4F67-A5C7-7A6B60EAB96C

P2093

Q33766930-029B2E9F-FF9A-43A0-83E1-4A786BEBBB6B

Q33766930-08B8F2F8-5AB7-4A06-90C0-BC7F6D481F96

Q33766930-1339DF31-D7E8-4C45-9AC5-98EDED82B37E

Q33766930-1AACD2F8-70E1-4016-98DC-799EA987A189

Q33766930-2C995C88-CC2D-414F-A93B-7D085A75687E

Q33766930-39B35D28-9611-4902-99CD-DC0C41B6C1DB

Q33766930-51A991E2-8800-4FE5-BA2A-48E15233E13C

Q33766930-61E4F6B5-ED72-4AAA-94B6-AE93440C24E6

Q33766930-78CBD333-21CC-4BF5-8A14-D50BF2F51DC1

Q33766930-7D050921-BEF8-4D1D-8897-A2144F551F4E

P2860

Q33766930-0C6EA9E6-0548-4F26-BC3B-B183ED1251AB

Q33766930-0F954E57-6985-44A7-951C-781DD394F553

Q33766930-110827B2-B4D5-4F3A-B85A-AD4BFB2CE69D

Q33766930-12066C4D-46A8-4D4B-A992-1E33BCA897AC

Q33766930-20879678-F5E0-43E7-9DB9-A19379059755

Q33766930-421BFA1E-5B68-4D04-AF7D-D91CB6B44CB9

Q33766930-43E88D0E-DBB7-4596-B74F-8B4D0EF0DD92

Q33766930-4F8F9D2F-81C2-4D65-84FA-A478A065C74A

Q33766930-5887E73E-D9BB-4DEA-9908-F4CFB1B6E64D

Q33766930-5A5A5703-0A01-4F8B-8EBD-2FBCFE84D538

P304

Q33766930-CEFC6471-CDC4-437C-8D6A-28D943826338

P31

Q33766930-D44D9551-F64C-48C1-ACA7-2C4680E9B4A7

P356

Q33766930-A8F2786E-9D4C-48B0-937D-103C83E53883

P407

Q33766930-6CB8A9A9-6B03-4EBD-B55D-DC065E4DA8B9

P433

Q33766930-9A17DCAE-03C6-4752-8118-40F1C59A5245

P478

Q33766930-97C9B3C6-034B-4E56-A439-83B7BA028C55

P577

Q33766930-F4CF5894-7157-495A-AD71-690064B49A62

P5875

Q33766930-AC5C7E55-2FA1-4D32-AAED-761264332A92

P698

Q33766930-258EC6F9-95EF-45C8-85A4-23307A389D85

P932

Q33766930-9BD0B84F-C9F3-4A0E-B363-990DCBB19C35

P356

P1433

P1476

Sixty-five gene-based risk sco ...... l in hepatocellular carcinoma.

@en

P2093

Ahmed Kaseb

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

Dae-Ghon Kim

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

Eun Sung Park

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

In-Sun Chu

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

Jae Yun Lim

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

Jeonghoon Heo

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

Ju-Seog Lee

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

Sang Cheol Kim

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

Sang-Bae Kim

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

Snorri S Thorgeirsson

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

P2860

Cluster analysis and display of genome-wide expression patterns

GoMiner: a resource for biological interpretation of genomic and proteomic data

Beta-catenin mutations are associated with a subset of low-stage hepatocellular carcinoma negative for hepatitis B virus and with favorable prognosis

A comparison of normalization methods for high density oligonucleotide array data based on variance and bias

A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer

Management of hepatocellular carcinoma

Targeting PI3K signalling in cancer: opportunities, challenges and limitations

Prognosis of hepatocellular carcinoma: the BCLC staging classification

Analysis of gene expression data using BRB-ArrayTools.

Gene expression in fixed tissues and outcome in hepatocellular carcinoma.

P304

1443-1452

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

P31

scholarly article

P356

10.1002/HEP.24813

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

P407

P433

5

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

P478

55

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

P577

2012-03-18T00:00:00Z

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

P5875

51820118

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

P698

22105560

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

P932

4060518

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