http://rdf.disgenet.org/resource/nanopub/NP804424.RAX7_63LOxdbzzBKn0Wvnddt_fOd3RttVknvZhW7au4fw
type: Nanopublication
created: 2016-05-13T12:47:49+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/NP804424.RAX7_63LOxdbzzBKn0Wvnddt_fOd3RttVknvZhW7au4fw130_assertion
type: Assertion
description: [Both experimental studies and human sample/cohort-based investigations performed during the past decade have considerably widened our perception of PRL biology: i) there are now strong epidemiological arguments supporting the fact that circulating PRL is a risk factor for breast cancer, ii) in addition to the endocrine hormone, locally produced PRL has been documented in several human tissues; there is increasing evidence supporting the tumor growth potency of local PRL, acting via autocrine/paracrine mechanisms, in both rodent models, and human breast and prostate tumors, iii) the first functional germinal polymorphisms of the PRL receptor were recently identified in patients presenting with breast tumors, which involve single amino acid substitution variants exhibiting constitutive activity, iv) human PRL analogs have been engineered, which were shown in experimental models to down-regulate the effects triggered by local PRL (competitive antagonism) or by the constitutively active receptor variants (inverse agonism).]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/20371569
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