http://rdf.disgenet.org/resource/nanopub/NP362874.RAYzh7y3rYwcUBok-18ASpVfhVTZ4ENDPdtwuNPlrZSx4
type: Nanopublication
created: 2016-05-13T12:44:30+02:00
rights: http://opendatacommons.org/licenses/odbl/1.0/
rights holder: IBIGroup
subject: SIO_000983
used data: disgenetv3.0rdf
authored by: http://orcid.org/0000-0001-5999-6269
authored by: http://orcid.org/0000-0002-7534-7661
authored by: 0000-0002-9383-528X
authored by: http://orcid.org/0000-0003-0169-8159
authored by: http://orcid.org/0000-0003-1244-7654
created by: http://orcid.org/0000-0003-0169-8159
version: v4.0.0.0

http://rdf.disgenet.org/resource/nanopub/NP362874.RAYzh7y3rYwcUBok-18ASpVfhVTZ4ENDPdtwuNPlrZSx4130_assertion
type: Assertion
description: [Candidate prognostic biomarkers for breast cancer include elevated proliferation indices such as Ki-67 and proliferating cell nuclear antigen (PCNA); ER and PR overexpression; markers of oncogene overexpression such as c-erbB-2, TGF-a and EGFr; indicators of apoptotic imbalance including overexpression of bcl-2 and an increased bax/bcl-2 ratio; markers of disordered cell signaling such as p53 nuclear protein accumulation; alteration of differentiation signals such as overexpression of c-myc and related proteins; loss of differentiation markers such as TGF-b II receptor and retinoic acid receptor; and alteration of angiogenesis proteins such as VEGF overexpression.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/12145573
was generated by: ECO_0000203

befree-2016
imported on: 2016-02-19

DisGeNET evidence - LITERATURE
type: ECO_0000212
comment: Gene-disease associations inferred from text-mining the literature.

disgenetv3.0rdf
version: v4.0.0