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dc.contributor.authorJohnson, Ian R D
dc.contributor.authorParkinson-Lawrence, Emma J
dc.contributor.authorKeegan, Helen
dc.contributor.authorSpillane, Cathy D
dc.contributor.authorBarry-O'Crowley, Jacqui
dc.contributor.authorWatson, William R
dc.contributor.authorSelemidis, Stavros
dc.contributor.authorButler, Lisa M
dc.contributor.authorO'Leary, John J
dc.contributor.authorBrooks, Doug A
dc.date.accessioned2017-03-03T12:24:44Z
dc.date.available2017-03-03T12:24:44Z
dc.date.issued2015-11-10
dc.identifier.citationEndosomal gene expression: a new indicator for prostate cancer patient prognosis? 2015, 6 (35):37919-29 Oncotargeten
dc.identifier.issn1949-2553
dc.identifier.pmid26473288
dc.identifier.doi10.18632/oncotarget.6114
dc.identifier.urihttp://hdl.handle.net/10147/621124
dc.description.abstractProstate cancer continues to be a major cause of morbidity and mortality in men, but a method for accurate prognosis in these patients is yet to be developed. The recent discovery of altered endosomal biogenesis in prostate cancer has identified a fundamental change in the cell biology of this cancer, which holds great promise for the identification of novel biomarkers that can predict disease outcomes. Here we have identified significantly altered expression of endosomal genes in prostate cancer compared to non-malignant tissue in mRNA microarrays and confirmed these findings by qRT-PCR on fresh-frozen tissue. Importantly, we identified endosomal gene expression patterns that were predictive of patient outcomes. Two endosomal tri-gene signatures were identified from a previously published microarray cohort and had a significant capacity to stratify patient outcomes. The expression of APPL1, RAB5A, EEA1, PDCD6IP, NOX4 and SORT1 were altered in malignant patient tissue, when compared to indolent and normal prostate tissue. These findings support the initiation of a case-control study using larger cohorts of prostate tissue, with documented patient outcomes, to determine if different combinations of these new biomarkers can accurately predict disease status and clinical progression in prostate cancer patients.
dc.language.isoenen
dc.publisherImpact Publishersen
dc.rightsArchived with thanks to Oncotargeten
dc.subjectPROSTATE CANCERen
dc.subjectGENETICSen
dc.subject.meshAdaptor Proteins, Signal Transducing
dc.subject.meshAdaptor Proteins, Vesicular Transport
dc.subject.meshBiomarkers, Tumor
dc.subject.meshCalcium-Binding Proteins
dc.subject.meshCell Cycle Proteins
dc.subject.meshCohort Studies
dc.subject.meshDisease Progression
dc.subject.meshEndosomal Sorting Complexes Required for Transport
dc.subject.meshEndosomes
dc.subject.meshFollow-Up Studies
dc.subject.meshGene Expression Profiling
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshNADPH Oxidase
dc.subject.meshNeoplasm Grading
dc.subject.meshNeoplasm Metastasis
dc.subject.meshNeoplasm Recurrence, Local
dc.subject.meshPrognosis
dc.subject.meshProstatic Intraepithelial Neoplasia
dc.subject.meshProstatic Neoplasms
dc.subject.meshRNA, Messenger
dc.subject.meshReal-Time Polymerase Chain Reaction
dc.subject.meshReverse Transcriptase Polymerase Chain Reaction
dc.subject.meshSurvival Rate
dc.subject.meshVesicular Transport Proteins
dc.subject.meshrab5 GTP-Binding Proteins
dc.titleEndosomal gene expression: a new indicator for prostate cancer patient prognosis?en
dc.typeArticleen
dc.identifier.journalOncotargeten
dc.description.fundingHRB Health Research Boarden
dc.description.provinceLeinsteren
dc.description.peer-reviewpeer-reviewen
refterms.dateFOA2018-08-27T19:47:18Z
html.description.abstractProstate cancer continues to be a major cause of morbidity and mortality in men, but a method for accurate prognosis in these patients is yet to be developed. The recent discovery of altered endosomal biogenesis in prostate cancer has identified a fundamental change in the cell biology of this cancer, which holds great promise for the identification of novel biomarkers that can predict disease outcomes. Here we have identified significantly altered expression of endosomal genes in prostate cancer compared to non-malignant tissue in mRNA microarrays and confirmed these findings by qRT-PCR on fresh-frozen tissue. Importantly, we identified endosomal gene expression patterns that were predictive of patient outcomes. Two endosomal tri-gene signatures were identified from a previously published microarray cohort and had a significant capacity to stratify patient outcomes. The expression of APPL1, RAB5A, EEA1, PDCD6IP, NOX4 and SORT1 were altered in malignant patient tissue, when compared to indolent and normal prostate tissue. These findings support the initiation of a case-control study using larger cohorts of prostate tissue, with documented patient outcomes, to determine if different combinations of these new biomarkers can accurately predict disease status and clinical progression in prostate cancer patients.


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