Identification of key clinical phenotypes of breast cancer using a reduced panel of protein biomarkers - Wikidata - awgldk - TriplyDB

Identification of key clinical phenotypes of breast cancer using a reduced panel of protein biomarkers

Identification of key clinical phenotypes of breast cancer using a reduced panel of protein biomarkers

http://www.wikidata.org/entity/Q37214325

about

Ki67 expression in invasive breast cancer: the use of tissue microarrays compared with whole tissue sections.High level of HSF1 associates with aggressive endometrial carcinoma and suggests potential for HSP90 inhibitors.Classification of patients with breast cancer according to Nottingham prognostic index highlights significant differences in immunohistochemical marker expression.Evaluation of Protein Profiles From Treated Xenograft Tumor Models Identifies an Antibody Panel for Formalin-fixed and Paraffin-embedded (FFPE) Tissue Analysis by Reverse Phase Protein Arrays (RPPA)Nottingham Prognostic Index Plus: Validation of a clinical decision making tool in breast cancer in an independent series.Nottingham prognostic index plus (NPI+) predicts risk of distant metastases in primary breast cancer.Nottingham Prognostic Index Plus (NPI+): a modern clinical decision making tool in breast cancer.Clinical utility of reverse phase protein array for molecular classification of breast cancer.Clinical and biological significance of glucocorticoid receptor (GR) expression in breast cancer.Human Antibody Fusion Proteins/Antibody Drug Conjugates in Breast and Ovarian Cancer Molecular subtypes of breast cancer

P2860

Q33843751-18BC4741-B58D-40BE-B852-1C207B70061D Q33877440-47A7D212-594B-41A5-BEDD-DB4F9EEE99F8 Q34042565-C93797D7-7C03-409D-B115-549D7955AA34 Q36134032-1CC12ECF-FB60-4D80-867F-C40CE8FCB92A Q36873822-BF0B94BA-B91A-4E68-A346-2FD2CEB3C32B Q36908377-520ACD9C-23C9-4E20-8C8B-28B5B0E894E8 Q37681710-F016E2DF-5606-49AE-BD09-655C36F50CAF Q38383140-F0D28202-84E4-4C27-8A29-C160DDA57C5E Q38900933-641D71E8-4C2F-4F5E-9D65-EDC3BD864CF9 Q42660155-B6E146CD-043A-42E4-912B-5BA7A6FDE2FA Q57695773-1CBFC85F-D0FF-4856-A829-30A1B403A85D

P2860

Identification of key clinical phenotypes of breast cancer using a reduced panel of protein biomarkers

http://www.wikidata.org/entity/Q37214325

description

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

@pt

bilimsel makale

@tr

scientific article published on 05 September 2013

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Identification of key clinical ...... ed panel of protein biomarkers

@en

Identification of key clinical ...... d panel of protein biomarkers.

@nl

type

label

Identification of key clinical ...... ed panel of protein biomarkers

@en

Identification of key clinical ...... d panel of protein biomarkers.

@nl

prefLabel

Identification of key clinical ...... ed panel of protein biomarkers

@en

Identification of key clinical ...... d panel of protein biomarkers.

@nl

P1433

Q37214325-441B7DC2-31FE-4500-AD57-307183B4470A

P1476

Q37214325-E063EA3F-BA2F-4E97-B7B6-E5BC569F25D8

P2093

Q37214325-3C7497C1-BEFE-4639-B317-D32C438E82A9

Q37214325-9515B2BC-49E0-477F-9864-D6DD2FFA0FA2

Q37214325-BC2632BF-D1D9-4F95-8224-ABC8F6240355

Q37214325-C38DF1D1-7B3F-44DC-B547-3A6485C8FBCB

Q37214325-CD455051-5220-48B6-B540-9F01EFE0AAF7

Q37214325-D86D35A6-45F2-464D-8448-49196AC4D2DE

P2860

Q37214325-0708882B-F26A-4D83-873D-16A68D276559

Q37214325-08B27DAB-1997-4128-9A70-7C205563C396

Q37214325-0BCE14AA-6BCF-43AE-B21C-6947BF60F71B

Q37214325-1360E128-2B1A-41AE-B426-CDD0EC68E44C

Q37214325-139F6687-C28F-4132-882A-8DA3AB8D1C01

Q37214325-1780D8EB-F283-4555-A0CE-C1DAC72FC529

Q37214325-252A3855-CAAD-4B55-9182-2B91E2AB2872

Q37214325-2BD50CB9-8979-43FE-ADE7-A544A0B094F2

Q37214325-2F291052-B7A9-4BB9-9526-AD7F6576B594

Q37214325-49B5C81E-B682-4308-B12A-2A2DE6709552

P2888

Q37214325-D85C5D18-AF5D-4076-AE38-8E59D2E934D3

P304

Q37214325-A3F09276-78BC-42AC-A5D8-AA3A6B006C3F

P31

Q37214325-FE8EB5AA-A6A4-4A02-83F4-0914C48179B3

P356

Q37214325-F5A2BC03-F261-4755-8B76-3B42728C91FF

P407

Q37214325-98FDD0CD-D42D-44A5-A8BC-64DB71DCB557

P433

Q37214325-E08CE3D9-1198-4B02-941B-F8FAC2113EAA

P478

Q37214325-9BB25239-6895-4BFD-8B7A-66CCDD5AA2F4

P50

Q37214325-105A0328-28B2-412B-A98B-271F7466DDE9

Q37214325-25F2DCD3-D5C1-4085-AE34-8E28CCABE3BE

Q37214325-5B0659B4-8587-4D14-B956-3E48668E624F

Q37214325-77EEFDB3-C51F-4C8D-9632-29947F839A0A

Q37214325-995FC61E-6A9A-4171-9769-56A6527C85C3

P577

Q37214325-1C26E6D4-DB1A-4F5A-959F-F2233AECDC6E

P5875

Q37214325-94FFBF1F-B6A3-456A-9411-D759046CE039

P698

Q37214325-FFAAF947-DD31-466F-901F-93E81C22C3DE

P921

Q37214325-42A8BF82-6A6D-4F11-AB66-AE4621AD8E76

P932

Q37214325-6A1D366D-D9A5-4F24-B367-E8F8936248F0

P356

P1433

British Journal of Cancer

P1476

Identification of key clinical ...... ed panel of protein biomarkers

@en

P2093

C C Nolan

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

C Lemetre

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

D G Powe

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

D Soria

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

F F T Barros

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

R D Macmillan

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

P2860

Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

Gene expression profiling predicts clinical outcome of breast cancer

Molecular portraits of human breast tumours

Repeated observation of breast tumor subtypes in independent gene expression data sets

Basal-like breast cancer defined by five biomarkers has superior prognostic value than triple-negative phenotype

Patterns of cancer incidence, mortality, and prevalence across five continents: defining priorities to reduce cancer disparities in different geographic regions of the world

The molecular portraits of breast tumors are conserved across microarray platforms.

Distinct molecular mechanisms underlying clinically relevant subtypes of breast cancer: gene expression analyses across three different platforms

A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients.

Subtyping of breast cancer by immunohistochemistry to investigate a relationship between subtype and short and long term survival: a collaborative analysis of data for 10,159 cases from 12 studies

P2888

P304

1886-1894

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

P31

scholarly article

P356

10.1038/BJC.2013.528

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

P407

P433

7

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

P478

109

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

P50

Jonathan M. Garibaldi

Andrew R. Green

P577

2013-09-05T00:00:00Z

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

P5875

256451751

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

P698

24008658

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

P921

P932

3790179

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