青瓜视频

Artificial Intelligence has helped scientists reveal a new form of aggressive prostate cancer which could revolutionise how the disease is diagnosed and treated in the future.

A new Cancer Research UK-funded study has revealed that prostate cancer, which affects one in eight men in their lifetime, includes two different subtypes termed evotypes.

The discovery was made by an international team led by the , and The University of Manchester, who applied AI (artificial intelligence) on data from DNA to identify two different subtypes affecting the prostate.

The team hope their findings could save thousands of lives in future and revolutionise how prostate cancer is diagnosed and treated. Ultimately, it could provide tailored treatments to each individual patient according to a genetic test which will also be delivered using AI.

According to , prostate cancer is the most common cancer affecting men in the UK with around 52,000 cases a year. Dr Rupal Mistry, the charity青瓜视频檚 senior Science Engagement Manager, said:

青瓜视频淭he work published today by this global consortium of researchers has the potential to make a real difference to people affected by prostate cancer. The more we understand about cancer the better chance we have of developing treatments to beat it. We are proud to have helped fund this cutting-edge work, which has laid the foundations for personalised treatments for people with prostate cancer, allowing more people to beat their disease.青瓜视频�

The ground-breaking research, which involved additional funding from Prostate Cancer Research and involved scientists from the University of Oxford the University of Manchester, the University of East Anglia and the Institute of Cancer Research, London, highlights how a prostate cancer diagnosis can affect physical, emotional and mental wellbeing.

Lead researcher Dr Dan Woodcock, of the Nuffield Department of Surgical Sciences at the University of Oxford, said: 青瓜视频淥ur research demonstrates that prostate tumours evolve along multiple pathways, leading to two distinct disease types. 

青瓜视频淭his understanding is pivotal as it allows us to classify tumours based on how the cancer evolves rather than solely on individual gene mutations or expression patterns.青瓜视频� 

The researchers worked together as part of international consortium, called The Pan Prostate Cancer Group, set up by scientists at The Institute of Cancer Research (ICR) and The University of East Anglia to analyse genetic data from thousands of prostate cancer samples across nine countries. 

Crucially, the team's collaboration with Cancer Research UK (CRUK) aims to develop a genetic test that, when combined with conventional staging and grading, can provide a more precise prognosis for each patient, allowing tailored treatment decisions. 

The researchers used AI to study changes in the DNA of prostate cancer samples (using whole genome sequencing) from 159 patients. 

They identified two distinct cancer groups among these patients using an AI technique called neural networks. These two groups were confirmed by using two other mathematical approaches applied to different aspects of the data. This finding was validated in other independent datasets from Canada and Australia. 

They went on to integrate all the information to generate an evolutionary tree showing how the two subtypes of prostate cancer develop, ultimately converging into two distinct disease types termed 青瓜视频榚votypes青瓜视频�. 

of Manchester Cancer Research Centre, who led the study, explained: 青瓜视频淭his realisation is what enables us to distinguish the disease types. This hasn青瓜视频檛 been done before because it青瓜视频檚 more complicated than HER2+ in breast cancer, for instance. 

"This understanding is pivotal as it allows us to classify tumours based on their evolutionary trajectory rather than solely on individual gene mutations or expression patterns." 

Researcher Prof Colin Cooper, from UEA青瓜视频檚 Norwich Medical School, highlighted that while prostate cancer is responsible for a large proportion of all male cancer deaths, it is more commonly a disease men die with rather than from. This means that unnecessary treatment can often be avoided, sparing men from side-effects such as incontinence and impotence. 

He added: 青瓜视频淭his study is really important because until now, we thought that prostate cancer was just one type of disease. But it is only now, with advancements in artificial intelligence, that we have been able to show that there are actually two different subtypes at play. 

青瓜视频淲e hope that the findings will not only save lives through better diagnosis and tailored treatments in the future, but they may help researchers working in other cancer fields better understand other types of cancer too.青瓜视频� 

Dr Naomi Elster, Director of Research at Prostate Cancer Research, said: 青瓜视频淲e simply don青瓜视频檛 know enough about what a prostate cancer diagnosis means at present 青瓜视频� there are many men who have disease which is or may become aggressive and being able to treat aggressive disease more effectively is critical. But on the other side of the coin are the too many men who live with side effects of cancer treatment they may never have needed. 

青瓜视频淭hese results could be the beginning of us being able to take the same 青瓜视频榙ivide and conquer青瓜视频� approach to prostate cancer that has worked in other diseases, such as breast cancer.青瓜视频� 

Professor Ros Eeles, Professor of Oncogenetics at The Institute of Cancer Research, London, and Honorary Consultant in Clinical Oncology and Cancer Genetics at The Royal Marsden NHS Foundation Trust, said: 青瓜视频淭his study has utilised the enormous genomic dataset from The Pan Prostate Cancer Group 青瓜视频� a powerhouse of information about prostate cancer from around the world. These results will hopefully lead to better treatments for patients, demonstrating the importance of data sharing and team science.青瓜视频�

The study - 青瓜视频樓喙鲜悠禉 is published online in the journal Cell Genomics.