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

journal contribution
posted on 2024-11-01, 02:55 authored by Ian Johnson, Emma Parkinson-Lawrence, Helen Keegan, Cathy Spillane, Jacqui Barry-O'Crowley, William Watson, Stavros SelemidisStavros Selemidis, Lisa Butler, John O'Leary, Doug Brooks
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.

Funding

Understanding the biology of reactive oxygen species

Australian Research Council

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Molecular hallmarks of androgen receptor targeting in prostate cancer

Australian Research Council

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History

Journal

OncoTarget

Volume

6

Issue

35

Start page

37919

End page

37929

Total pages

11

Publisher

Impact

Place published

United States

Language

English

Copyright

© 2015 Authors, open-access article distributed under the terms of the Creative Commons Attribution 3.0 License

Former Identifier

2006079785

Esploro creation date

2020-06-22

Fedora creation date

2017-12-04

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