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    Endosomal gene expression: a new indicator for prostate cancer patient prognosis?

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    EndosomalGeneExpression.pdf
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    Authors
    Johnson, Ian R D
    Parkinson-Lawrence, Emma J
    Keegan, Helen
    Spillane, Cathy D
    Barry-O'Crowley, Jacqui
    Watson, William R
    Selemidis, Stavros
    Butler, Lisa M
    O'Leary, John J
    Brooks, Doug A
    Issue Date
    2015-11-10
    Keywords
    PROSTATE CANCER
    GENETICS
    MeSH
    Adaptor Proteins, Signal Transducing
    Adaptor Proteins, Vesicular Transport
    Biomarkers, Tumor
    Calcium-Binding Proteins
    Cell Cycle Proteins
    Cohort Studies
    Disease Progression
    Endosomal Sorting Complexes Required for Transport
    Endosomes
    Follow-Up Studies
    Gene Expression Profiling
    Humans
    Male
    NADPH Oxidase
    Neoplasm Grading
    Neoplasm Metastasis
    Neoplasm Recurrence, Local
    Prognosis
    Prostatic Intraepithelial Neoplasia
    Prostatic Neoplasms
    RNA, Messenger
    Real-Time Polymerase Chain Reaction
    Reverse Transcriptase Polymerase Chain Reaction
    Survival Rate
    Vesicular Transport Proteins
    rab5 GTP-Binding Proteins
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    Citation
    Endosomal gene expression: a new indicator for prostate cancer patient prognosis? 2015, 6 (35):37919-29 Oncotarget
    Publisher
    Impact Publishers
    Journal
    Oncotarget
    URI
    http://hdl.handle.net/10147/621124
    DOI
    10.18632/oncotarget.6114
    PubMed ID
    26473288
    Abstract
    Prostate 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.
    Item Type
    Article
    Language
    en
    ISSN
    1949-2553
    ae974a485f413a2113503eed53cd6c53
    10.18632/oncotarget.6114
    Scopus Count
    Collections
    Coombe Women & Infants University Hospital

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