Development of a multivariable risk model integrating urinary cell DNA methylation & cell-free RNA data for the detection of significant prostate cancer

New paper out today in "The Prostate"

"Development of a multivariable risk model integrating urinary cell DNA methylation & cell-free RNA data for the detection of significant prostate cancer"

This carries on from the work last year on a urine test called ‘PUR’ (Prostate Urine Risk) which diagnoses aggressive prostate cancer and predicts whether patients will require treatment up to five years earlier than standard clinical methods.

This latest research combines information from two different levels of biological data in urine (methylation and gene expression) and shows the possibilities of further improves in a urine tests use for diagnosis.

What I really like about this one is the robust machine learning techniques we've used and the alignment to the TRIPOD guidelines.

Great work led by my PhD student Shea O'Connell.

Funded mainly by Movember and The Andy Ripley Memorial Fund.

https://doi.org/10.1002/pros.23968

Press:
Urine test could help reduce unnecessary prostate cancer biopsies
Outlet: MailOnline Date: 10/03/2020 00:08
Click to open
Unnecessary prostate cancer biopsies could be reduced by 60 per cent thanks to new research from the University of East Anglia. Lead author Shea Connell and senior author Dr Dan Brewer (both MED) quoted.
AND
I'm still alive thanks to the quick thinking of my mate Sir Tom
Outlet: Daily Express, p.21 Date: 10/03/2020 00:00
AND
Progress on urine test for prostate cancer
Outlet: The Guardian, p.16 Date: 10/03/2020 00:00
AND
Urine test could help reduce unnecessary prostate cancer biopsies
Outlet: ITV (Online) Date: 10/03/2020 11:08
Click to open
AND
UEA scientists in prostate cancer breakthrough
Outlet: Eastern Daily Press (EDP), p.22 Date: 19/03/2020 00:00

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