July 10, 2018
Researchers further clarify the role of epigenetic proteins in the development of breast cancer, and discover that inhibiting these proteins could prevent the disease in women at high risk.
May 17, 2018
Dr. Michael Fraser, Director of the Prostate Program in the Computational Biology group at OICR, has been named a 2018 NextGen Star by the American Association for Cancer Research (AACR). Awarded to only eight researchers around the world, AACR’s NextGen Stars program recognizes outstanding early-career scientists who have made significant contributions to cancer research.
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.
September 25, 2017
Since mitochondria are inherited maternally, it may strike some as an odd place to go looking for connections to prostate cancer. But recently an international research team explored that relationship by looking at how the small amount of DNA contained in mitochondria, a cellular structure, is involved in prostate cancer.
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.
January 9, 2017
Findings published in renowned journal Nature
January 9, 2017 – TORONTO, ON – The Canadian Prostate Cancer Genome Network (CPC-GENE) has published findings from the world’s most comprehensive genetic analysis of prostate cancer tumours in the journal Nature. Led by Drs. Robert Bristow of the Princess Margaret Cancer Centre and Paul Boutros of the Ontario Institute for Cancer Research, CPC-GENE has uncovered the full set of mutations that can occur in the most common cancer in men. By fully cataloging these mutations, the CPC-GENE team was able to create a new signature that predicts at an early stage whether a prostate cancer tumour will become aggressive or not, allowing for personalized treatment.
October 19, 2016
Prostate cancer is the most common cancer in Canadian men and while it has been the focus of extensive research, an estimated 4,000 Canadians die of the disease each year. That is why six years ago Dr. Paul Boutros and Dr. Rob Bristow set out to sequence the normal and diseased tissue of 350 patients and learn from a clinical perspective how genomic information can be used to guide better treatment.
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.
September 15, 2016
On September 13 the Government of Canada, through Genome Canada, made a $4 million investment in Canadian big data research to help improve real world challenges such as infectious disease outbreaks, managing food crops and combating cancer.
Of the 16 projects funded across Canada, three are based at OICR. Led by OICR Principal Investigators Drs. Paul Boutros, Vincent Ferretti, Jared Simpson and Lincoln Stein (Stein is also OICR’s Interim Scientific Director and leader of the Institute’s Informatics and Biocomputing Program), the projects are developing ways to make genomics and health data more manageable, securely accessible and easily understood. Together these projects will help to facilitate cancer research and assist in the adoption of more precision medicine. As well, they have applications in other fields of genomics research beyond cancer, such as agriculture and energy.
July 20, 2016
A new DREAM Challenge was launched on June 30 focusing on the abnormal RNA molecules in cancer cells. The ICGC-TCGA DREAM SMC-RNA Challenge is an international effort designed to improve standard methods for identifying cancer-associated rearrangements in RNA sequencing (RNA-seq) data, providing new tools for cancer researchers. Improved RNA sequencing data will allow researchers to better understand cancer leading to new and better-personalized approaches to cancer treatment.
The Challenge is open to the entire research community, and anyone interested in participating is encouraged to register at https://synapse.org/SMC_RNA.