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Showing posts from April, 2022

RT @CancerInNorwich: We're excited to be hosting a stall at the @UeaCitizenAcad launch event at @TheForumNorwich on Tuesday between 12-5pm. Come along to hear all things #cancerresearch from some of our researchers and get involved in activities based around our key research areas! #CancerInNorwich https://t.co/5BIEnWCwVB


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I can relate https://t.co/G5foHEhDAo


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RT @chngin_the_wrld: Today's #shoutout to #womenInSTEM goes to Rachel Hurst & @meader_emma for their paper w/ @johnwain6 & @danbrewer suggesting that urine #microbiomes are associated w/ #ProstateCancer. https://t.co/gQQGbBjvOU


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RT @CancerInNorwich: πŸ“’Join us next Wednesday for our next virtual seminar with Prakit Kumar from @UeaMed, who will be talking about "Understanding Tumour Cell Interactions with Stromal Cells". All are welcome to join via the MS Teams link: https://t.co/FW2NaxhG9G #CancerInNorwich #CancerResearch https://t.co/jWGNuG0xO2


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Microbiomes of Urine and the Prostate Are Linked to Human Prostate Cancer Risk Groups

 

New paper published today titled "Microbiomes of Urine and the Prostate Are Linked to Human Prostate Cancer Risk Groups" in European Urology Oncology. 

Papers are coming like buses this week. Delighted that after nine years of work our paper looking at the link between bacteria and aggressive prostate cancer is out. This is exciting stuff.

https://doi.org/10.1016/j.euo.2022.03.006

We already know of some strong associations between infections and cancer. For example, the presence of Helicobacter pylori bacteria in the digestive tract can lead to stomach ulcers and is associated with stomach cancer, and some types of the HPV virus can cause cervical cancer. We wanted to find out whether bacteria could be linked to the way prostate cancer grows and spreads.

We analysed urine or tissue samples from more than 600 patients with or without prostate cancer. And we developed methods of finding the bacteria associated with aggressive prostate cancer. We found several types of bacteria associated with aggressive prostate cancer, some of which are new types of bacteria never found before. The set of bacteria found include Anaerococcus, Peptoniphilus, Porphyromonas, Fenollaria and Fusobacterium. All of these are anaerobic, which means they like to grow without oxygen present.



When any of these specific anaerobic bacteria were detected in the patient’s samples, it was linked to the presence of higher grades of prostate cancer and more rapid progression to aggressive disease. We also identified potential biological mechanisms of how these bacteria may be linked to cancer. Among the things we don’t yet know is how people pick up these bacteria, whether they are causing the cancer, or whether a poor immune response permits the growth of the bacteria. But we hope that our findings and future work could lead to new treatment options, that could slow or prevent aggressive prostate cancer from developing. Our work could also lay the foundations for new tests that use bacteria to predict the most effective treatment for each man’s cancer.


Amazing collaboration between Norwich Medical School UEA, Quadram Institute, the NNUH and others. It was funded by the by Prostate Cancer UK and The Bob Champion Cancer Trust.

Press Coverage:

RT @ProstateUK: πŸ”¬ This is an exciting discovery that has the potential to truly revolutionise treatment for men. https://t.co/GsWJH6HgCg


from Twitter https://twitter.com/danbrewer

RT @UEAResearch: Our researchers @UeaMed have found a link between bacteria & aggressive prostate cancer πŸ‘©‍πŸ”¬πŸ”¬ We hope it will pave the way for new treatments #ThinkingWithoutBorders πŸ‘‰ https://t.co/foSwzeBAK3 @ProstateUK @BobChampion1981 @TheQuadram @EarlhamInst @NNUH #prostatecancer #cancer https://t.co/aOFsfYgb9b


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RT @BBCNews: Urine bugs may be a sign of aggressive prostate cancer https://t.co/wQPSEYdvzs


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I'm delighted to announce a new paper out from our group based on data from the @MovemberUK GAP1 Urine biomarker consortium: "A Model to Detect Significant Prostate Cancer Integrating Urinary Peptide and Extracellular Vesicle RNA Data". https://t.co/8WfRKbYSjE https://t.co/NDReK5Nrrm


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RT @mikelove: Got an RNA-seq dataset with 50, 100, 200+ samples? Plug it into a differential expression tool and hope for the best? No! You need to consider QC, EDA, and modeling technical variation, or else risk generating spurious results. A thread on papers, methods, and best practices: https://t.co/p7Zn61QjHw


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RT @WvSchaik: This does not pertain to all current ERC grant holders but to those that have been awarded an ERC since late 2021, I believe. Not sure what this means for future ERC funding opportunities for researchers at UK unis (probably eligible but only if you then take grant to EU) https://t.co/O47EnP3JkJ


from Twitter https://twitter.com/danbrewer