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dc.contributor.authorO'Driscoll, Lorraineen
dc.date.accessioned2015-02-16T13:03:49Z
dc.date.available2015-02-16T13:03:49Z
dc.date.issued2014en
dc.date.submitted2014en
dc.identifier.citationEustace AJ, Kennedy S, Larkin AM, Mahgoub T, Tryfonopoulos D, O'Driscoll L, Clynes M, Crown J, O'Donovan N, Predictive biomarkers for dasatinib treatment in melanoma, Oncoscience, 1, 2, 2014, 158 - 166en
dc.identifier.otherYen
dc.descriptionPUBLISHEDen
dc.description.abstractDasatinib has anti-proliferative and anti-invasive effects in melanoma cell lines. However clinical trials have shown modest activity for dasatinib in metastatic melanoma. Although dasatinib targets SRC kinase, neither expression nor phosphorylation of SRC appears to predict response to dasatinib. Identification of predictive biomarkers for dasatinib may facilitate selection of melanoma patients who are more likely to respond to dasatinib. We correlated the anti-proliferative effects of dasatinib in 8 melanoma cell lines with expression of a previously identified 6-gene biomarker panel. We examined the relationship between response to dasatinib and expression of each gene at both the mRNA and protein level. Dasatinib inhibited growth in 3 of the 8 cell lines tested. mRNA expression of the panel of 6 biomarkers did not correlate with response, whilst elevated protein expression of ANXA1, CAV-1 and EphA2 correlated significantly with response to dasatinib in the panel of cell lines. Expression of ANXA1, CAV-1 and EphA2 were analysed in 124 melanoma samples by immunohistochemistry. ANXA1 protein was detected in 81 % (97/120) of tumours, CAV-1 in 44 % (54/122) of tumours and EphA2 in 74 % (90/121) of tumours. Thirty one % (35/113) of tumours tested expressed all three markers and 19 % (21/112) had moderate or strong expression of ANXA1, CAV-1 and EphA2. Seventeen percent (19/112) of melanoma samples were positive for SRC kinase expression, combined with high expression of ANXA1, CAV-1 and EphA2. This subgroup may represent a population of melanoma patients who would be more likely to derive clinical benefit from dasatinib treatment.en
dc.format.extent158en
dc.format.extent166en
dc.language.isoenen
dc.relation.ispartofseriesOncoscienceen
dc.relation.ispartofseries1en
dc.relation.ispartofseries2en
dc.rightsYen
dc.subjectdasatiniben
dc.subjectbiomarkeren
dc.subjectMelanomaen
dc.subjectEphA2en
dc.subjectCAV-1en
dc.subjectANXA1en
dc.titlePredictive biomarkers for dasatinib treatment in melanomaen
dc.typeJournal Articleen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/lodriscen
dc.identifier.rssinternalid92879en
dc.identifier.doi10.18632/oncoscience.20en
dc.rights.ecaccessrightsopenAccess
dc.subject.TCDThemeCanceren
dc.subject.TCDTagMELANOMAen
dc.identifier.rssurihttp://www.ncbi.nlm.nih.gov/pubmed/25594008en
dc.identifier.orcid_id0000-0002-9860-8262en
dc.identifier.urihttp://hdl.handle.net/2262/73214


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