@prefix this: . @prefix rdfs: . @prefix xsd: . @prefix sio: . @prefix ncit: . @prefix lld: . @prefix miriam-gene: . @prefix miriam-pubmed: . @prefix eco: . @prefix wi: . @prefix prov: . @prefix pav: . @prefix prv: . @prefix dcterms: . @prefix np: . @prefix dgn-np: . @prefix dgn-gda: . @prefix dgn-void: . dgn-np:NP1201747.RApC0t2_jcr3NZjrxplRliDqMZ3jRUehPCVbOkSJ4n2Ts130_head { this: np:hasAssertion dgn-np:NP1201747.RApC0t2_jcr3NZjrxplRliDqMZ3jRUehPCVbOkSJ4n2Ts130_assertion; np:hasProvenance dgn-np:NP1201747.RApC0t2_jcr3NZjrxplRliDqMZ3jRUehPCVbOkSJ4n2Ts130_provenance; np:hasPublicationInfo dgn-np:NP1201747.RApC0t2_jcr3NZjrxplRliDqMZ3jRUehPCVbOkSJ4n2Ts130_publicationInfo; a np:Nanopublication . dgn-np:NP1201747.RApC0t2_jcr3NZjrxplRliDqMZ3jRUehPCVbOkSJ4n2Ts130_assertion a np:Assertion . dgn-np:NP1201747.RApC0t2_jcr3NZjrxplRliDqMZ3jRUehPCVbOkSJ4n2Ts130_provenance a np:Provenance . dgn-np:NP1201747.RApC0t2_jcr3NZjrxplRliDqMZ3jRUehPCVbOkSJ4n2Ts130_publicationInfo a np:PublicationInfo . } dgn-np:NP1201747.RApC0t2_jcr3NZjrxplRliDqMZ3jRUehPCVbOkSJ4n2Ts130_assertion { miriam-gene:2064 a ncit:C16612 . lld:C0678222 a ncit:C7057 . dgn-gda:DGNdc6cb47fe726a6cce7f53c0be161a517 sio:SIO_000628 miriam-gene:2064, lld:C0678222; a sio:SIO_001122 . } dgn-np:NP1201747.RApC0t2_jcr3NZjrxplRliDqMZ3jRUehPCVbOkSJ4n2Ts130_provenance { dgn-np:NP1201747.RApC0t2_jcr3NZjrxplRliDqMZ3jRUehPCVbOkSJ4n2Ts130_assertion dcterms:description "[This study proposed to investigate the relationship of PIK3CA somatic mutations, the most common activating mutations in human breast cancer (BC), and the efficacy of neoadjuvant chemotherapy (NCT).Using a novel liquid chip technology,PIK3CA DNA somatic mutations and HER2, PTEN, EGFR mRNA expression profiles were analyzed in formalin fixed paraffin embedded samples of 93 BC patients treated with epirubicin plus docetaxel NCT.PIK3CA mutations were found in 30 patients (32.3%), in which the point mutations of E542K, E545K, H1047L and H1047R were 4.3, 9.7, 4.3 and 14.0%respectively.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en; wi:evidence dgn-void:source_evidence_literature; sio:SIO_000772 miriam-pubmed:25027743; prov:wasDerivedFrom dgn-void:befree-2016; prov:wasGeneratedBy eco:ECO_0000203 . dgn-void:befree-2016 pav:importedOn "2016-02-19"^^xsd:date . dgn-void:source_evidence_literature a eco:ECO_0000212; rdfs:comment "Gene-disease associations inferred from text-mining the literature."@en; rdfs:label "DisGeNET evidence - LITERATURE"@en . } dgn-np:NP1201747.RApC0t2_jcr3NZjrxplRliDqMZ3jRUehPCVbOkSJ4n2Ts130_publicationInfo { this: dcterms:created "2016-05-13T12:50:50+02:00"^^xsd:dateTime; dcterms:rights ; dcterms:rightsHolder dgn-void:IBIGroup; dcterms:subject sio:SIO_000983; prv:usedData dgn-void:disgenetv3.0rdf; pav:authoredBy , , , , ; pav:createdBy ; pav:version "v4.0.0.0" . dgn-void:disgenetv3.0rdf pav:version "v4.0.0" . }