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    A novel blood proteomic signature for prostate cancer

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    Authors
    Muazzam, Ammara
    Spick, M.
    Cexus, O. N. F.
    Geary, B.
    Azhar, Fowz
    Pandha, H.
    Michael, A.
    Reed, R.
    Lennon, S.
    Gethings, L. A.
    Plumb, R. S.
    Whetton, A. D.
    Geifman, N.
    Townsend, Paul A
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    Affiliation
    Manchester Cancer Research Centre, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester
    Issue Date
    2023
    
    Metadata
    Show full item record
    Abstract
    Prostate cancer is the most common malignant tumour in men. Improved testing for diagnosis, risk prediction, and response to treatment would improve care. Here, we identified a proteomic signature of prostate cancer in peripheral blood using data-independent acquisition mass spectrometry combined with machine learning. A highly predictive signature was derived, which was associated with relevant pathways, including the coagulation, complement, and clotting cascades, as well as plasma lipoprotein particle remodeling. We further validated the identified biomarkers against a second cohort, identifying a panel of five key markers (GP5, SERPINA5, ECM1, IGHG1, and THBS1) which retained most of the diagnostic power of the overall dataset, achieving an AUC of 0.91. Taken together, this study provides a proteomic signature complementary to PSA for the diagnosis of patients with localised prostate cancer, with the further potential for assessing risk of future development of prostate cancer. Data are available via ProteomeXchange with identifier PXD025484.
    Citation
    Muazzam A, Spick M, Cexus ONF, Geary B, Azhar F, Pandha H, et al. A Novel Blood Proteomic Signature for Prostate Cancer. Cancers. 2023 Feb;15(4). PubMed PMID: WOS:000938954300001.
    Journal
    Cancers
    URI
    http://hdl.handle.net/10541/626213
    DOI
    10.3390/cancers15041051.
    PubMed ID
    36831393
    Additional Links
    https://dx.doi.org/10.3390/cancers15041051.
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.3390/cancers15041051.
    Scopus Count
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    All Paterson Institute for Cancer Research

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