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Showing posts from April, 2021

RT @UEAResearch: Thousands of men worldwide are to receive a home test kit for #prostatecancer – thanks to pioneering research from #UEA & @NNUH. Read more: https://t.co/X4FosBxcJL @UeaMed @MovemberUK @ProstateUK @Masonic_Charity @BobChampion1981 @norfolkmasons #ThinkingWithoutBorders https://t.co/WWDqYXZQS8


from Twitter https://twitter.com/danbrewer

Some great press today about our current project looking at collecting urine at home for monitoring and risk stratification of prostate cancer. This is a step forward to getting the urine tests into widespread use. https://t.co/wg4cDzt2r2


from Twitter https://twitter.com/danbrewer

RT @uniofeastanglia: A new #prostatecancer urine test from @UeaMed shows how aggressive the disease is, and could reduce the number of invasive biopsies: https://t.co/Eu4B0uKUML @NNUH @EarlhamInst @MovemberUK @ProstateUK @Masonic_Charity @BobChampion1981 @norfolkmasons ​#ThinkingWithoutBorders #UEA https://t.co/15Mxwv5Tn2


from Twitter https://twitter.com/danbrewer

Integration of Urinary EN2 Protein & Cell-Free RNA Data in the Development of a Multivariable Risk Model for the Detection of Prostate Cancer Prior to Biopsy

New paper published today titled "Integration of Urinary EN2 Protein & Cell-Free RNA Data in the Development of a Multivariable Risk Model for the Detection of Prostate Cancer Prior to Biopsy" in "Cancers". In this paper we look at combining two different types of measurements taken from different parts of urine, to see if they can help us better detect prostate cancer and determine how agressive it is. Prostate cancer is a disease responsible for a large proportion of all male cancer deaths but there is a high chance that a patient will die with the disease rather than from. Therefore, there is a desperate need for improvements in diagnosing and predicting outcomes for prostate cancer patients to minimise overdiagnosis and overtreatment whilst appropriately treating men with aggressive disease,  especially if this can be done without taking an invasive biopsy. In this work we develop a test that predicts whether a patient has prostate cancer and how aggressive the disease is from a urine sample. This model combines the measurement of a protein-marker called EN2 and the levels of 10 genes measured in urine. And proves that integration of information from multiple, non-invasive biomarker sources has the potential to greatly improve how patients with a clinical suspicion of prostate cancer are risk-assessed prior to an invasive biopsy.

https://doi.org/10.3390/cancers13092102

It was funded by the by Movember Foundation GAP1 Urine Biomarker project, The Masonic Charitable Foundation, The Bob Champion Cancer Trust, the King family, The Andy Ripley Memorial Fund and the Stephen Hargrave Trust. Further urine biomarker work funded by Prostate Cancer UK
 and the Tesco Centenary Grant. With great work from Shea Connel as first author.

Press Coverage:

If you would like to hear my dulcet tones on BBC Radio Nofolk @BBCNorfolk. Then listen between 5 and 5.30pm (hopefully). Made a bit of a mash of it but hey ho. https://t.co/brRDAhiCFs


from Twitter https://twitter.com/danbrewer

RT @ProstateUKProfs: πŸ“° Great to see @danbrewer in the press today talking about a promising new urine test for prostate cancer πŸ§ͺ Alongside @MovemberUK we’re proud to be supporting this group to advance their research into urine-based tests and improve diagnosis for men πŸ‘‡ https://t.co/IWtCL6b2SG


from Twitter https://twitter.com/danbrewer

RT @CancerInNorwich: Join us next Wednesday at 1pm to hear from Catrin Pritchard from @uniofleicester, who will be presenting on “Patient-derived explants as a powerful preclinical platform for anti-cancer drug and biomarker discovery”. Join via the Teams link: https://t.co/FW2NaxhG9G #CancerResearch https://t.co/TYGkS3EDoK


from Twitter https://twitter.com/danbrewer

RT @PCR_News: Tune into the latest Prostate Pod! This episode, @benm_d meets @danbrewer and Dan Woodcock, for a chat about how artificial intelligence is a new frontier against prostate cancer https://t.co/Y7oCH4iZGk #prostatecancer #CancerResearch #MachineLearning #AI https://t.co/3IIVeppYAW


from Twitter https://twitter.com/danbrewer

RT @_scientistt: Dear future PhD candidates, See graphic attached. Yours, #AcademicTwitter https://t.co/Ku8Rt0ReX4


from Twitter https://twitter.com/danbrewer

RT @trevoragraham: We have a #postdoc opening in our group @QMBCI @CRUKCOLcentre for someone interested in working with multi-omics to understand #cancer #evolution, particularly from a #mathematical #modelling perspective. Application link here ⬇️ https://t.co/gy6Mx5Crc2 https://t.co/HlgdWiDGyL


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Boom. https://t.co/kr00dyduM3


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CD c CD c. CD X CD


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RT @gds506: One of those good books that even though they are free online, it’s worth to have a physical copy... 😍😍 @topepos https://t.co/EYzHfPe4iZ


from Twitter https://twitter.com/danbrewer

RT @alex_freeman: Our graphics to illustrate the potential benefits and potential harms of the AstraZeneca vaccine as announced by the MHRA this afternoon. Benefits accrued over 16 weeks, at three different levels of exposure to the virus. https://t.co/awB80xes3m


from Twitter https://twitter.com/danbrewer