April 19, 2018
Largest-ever study of its kind uses a tumour’s past to accurately predict its future
Toronto (April 19, 2018) – Findings from Canadian Prostate Cancer Genome Network (CPC-GENE) researchers and their collaborators, published today in Cell, show that the aggressiveness of an individual prostate cancer can be accurately assessed by looking at how that tumour has evolved. This information can be used to determine what type and how much treatment should be given to each patient, or if any is needed at all.
The researchers analyzed the whole genome sequences of 293 localized prostate cancer tumours, linked to clinical outcome data. These were then further analyzed using machine learning, a type of statistical technique, to infer the evolutionary past of a tumour and to estimate its trajectory. They found that those tumours that had evolved to have multiple types of cancer cells, or subclones, were the most aggressive. Fifty-nine per cent of tumours in the study had this genetic diversity, with 61 per cent of those leading to relapse following standard therapy.
August 9, 2017
Prostate cancer researchers have mapped the impact of an acquired mutation that alters epigenetic identity, the make-up of DNA, in about 50 per cent of patient tumour samples. The discovery also identifies a new opportunity for targeted therapy.
March 16, 2017
Genetic tests are being used more commonly in the diagnosis of many types of cancer. However, there currently isn’t a highly accurate test that can identify men with aggressive forms of prostate cancer, making it more difficult to choose the most appropriate course of treatment.
January 10, 2017
Prostate cancer is the most common cancer in Canadian men, but there is still no one-size-fits-all strategy for treating the disease. Currently it is difficult to choose exactly the right type and amount of treatment for each individual because it is hard to accurately assess how aggressive the cancer is. Researchers are now a step closer to bringing a powerful new prognostic tool into clinical use.
November 9, 2016
Men newly diagnosed with prostate cancer face a difficult dilemma: either wait and see how the growth develops and whether it is aggressive, or treat it fully right away and risk the many long-term side effects of treatment. Dr. Tamara Jamaspishvili is a young researcher at Queen’s University in Kingston who is working to change that.
October 12, 2016
Prostate cancer is a complex disease. In a clinical setting it can be hard for doctors to accurately predict outcomes for prostate cancer patients, especially for those deemed to be at an intermediate risk of recurrence. With intermediate risk cancers, unlike those that are high or low risk, it is unclear how the cancer will develop. This makes it difficult to choose exactly the right therapy and avoid unnecessary treatments and their associated side effects.
September 15, 2016
Dr. Paul Boutros, Principal Investigator in Informatics and Bio-computing at OICR, spoke to our partners at Prostate Cancer Canada/Movember Canada about the role of genomics and informatics in prostate cancer research. Boutros also spoke about the CPC-GENE project – the largest study of prostate cancer genomics in the world.
June 1, 2016
Dr. Laurence Klotz of Sunnybrook Health Sciences Centre is a world leader in the field of prostate cancer research. He has been a champion of active surveillance (also known as watchful waiting) for over 20 years, an approach to prostate cancer treatment that has allowed thousands of men with low-risk prostate cancer to avoid or delay therapy by monitoring it closely instead of immediately treating it.
Now Klotz has launched a new clinical trial called PRECISE, funded with $3 million in support by the Movember Foundation, the Ontario Institute for Cancer Research and Prostate Cancer Canada, that will use MRI to help to better diagnose prostate cancer without invasive biopsy.