http://rdf.disgenet.org/resource/nanopub/NP1269691.RAjy65BfRXw3bDrZAGTuReyYtnYdqkilC7ULeGc73KLf0
type: Nanopublication
created: 2016-05-13T12:51:22+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/NP1269691.RAjy65BfRXw3bDrZAGTuReyYtnYdqkilC7ULeGc73KLf0130_assertion
type: Assertion
description: [This review will summarize the therapeutic relevance of predictive biomarkers in lung adenocarcinoma including the oncogenes EGFR, MET, ALK, RET, and ROS1 and tumor suppressors PTEN and LKB1 with an emphasis on established and emerging protein immunohistochemistry reagents and their promise in clinical practice.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/25753527
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