July 23, 2019
Biostatistics Training Initiative (BTI) alumnus brings on new BTI trainee to study Canada’s largest population health dataset using today’s top technologies
Recently, circulating tumour DNA (ctDNA) – DNA released from cancer cells that freely circulates in the blood – has garnered much attention not only as an alternative to traditional tissue biopsies, but as a potential blood-based biomarker for early cancer diagnosis.
The ability to detect the earliest blood-borne traces of cancer largely rests in our ability to determine which molecular markers indicate that a cancer is developing – or which patterns in ctDNA can predict whether a cancer will grow. Dr. David Soave sees this as a mathematical challenge that, if solved, could have huge impact for better predicting and diagnosing a wide variety of cancers.
“To find cancer earlier or predict who will develop the disease, we need to carefully compare human samples from those who will develop cancer and samples from those who won’t,” Soave, an Assistant Professor at Wilfrid Laurier University and OICR Associate, says. “This type of challenge requires new statistical models, methods and computational techniques that can decipher large, complex and high-dimensional data.”
Last year, the Canadian Partnership for Tomorrow Project (CPTP) unified the data from several provincial longitudinal health studies into a national cohort consisting of more than 325,000 participants who are voluntarily donating their health and biologic samples to research. As some CPTP participants will develop disease and others will not, this dataset provides an unprecedented resource for researchers like Soave to discover the earliest traces of cancer that appear several months to years prior to an initial diagnosis.Continue reading – Blood samples, biostatistics and a fresh perspective: The makings of a cancer prediction machine
April 9, 2018
Dr. Gregory Pond, Jenna Sykes, Dr. Richard Cook, Yonathan Brhane, Dr. Wei Xu.
Cancer researchers often confront quantitative challenges and puzzles that are best addressed by biostatisticians – specialists in a field for which there is a growing demand. In a 2008 survey of Ontario oncologists, eight in 10 respondents identified the lack of trained biostatisticians as a factor limiting their progress in cancer research. OICR has recently renewed funding for the Biostatistics Training Initiative (BTI) following a successful review. With this funding, the BTI will continue to benefit Ontario’s cancer research community and develop the next generation of cancer biostatisticians. The BTI is run in partnership with in the University of Waterloo and McMaster University.
February 26, 2016
This meeting sets stage for next four years of biostatistics training
As the cancer research landscape rapidly changes, so to do the needs of hospitals and research institutes for the types of young researchers on their teams. New technological advances have led to the need for qualified biostatisticians who can work with the large amounts of data that are now an essential part of many cancer research projects.