September 3, 2019
OICR is proud to welcome Dr. Parisa Shooshtari as an OICR Investigator.
Shooshtari specializes in developing computational, statistical and machine learning methods to understand the biological mechanisms underlying complex diseases, like cancer and autoimmune conditions. She is interested in uncovering how genes are dysregulated in complex diseases by integrating multiple data types and applying machine learning methods to analyze single-sell sequencing data.
Of her many achievements, Shooshtari developed a computational pipeline to uniformly process more than 800 epigenomic data samples from different international consortia. She then built and led a team that developed a web-interface and an interactive genome-browser to make the database publicly available to download and explore.
Shooshtari joins the OICR community with research experience from Yale University and the Broad Institute of MIT and Harvard. She also served as a Research Associate with the Centre for Computational Medicine at the Hospital for Sick Children (SickKids).
Shooshtari recently became an Assistant Professor in the Schulich School of Medicine and Dentistry at Western University, where she officially began her career as an independent researcher. Here, Shooshtari discusses her commitment to collaboration and her transition to professorship.
Your work spans multiple disease areas from autoimmune diseases to cancer, what do these diseases have in common? Is there a specific disease that you’re more interested in?
My work focuses on complex diseases, where instead of one gene causing the disease, there are sometimes tens or hundreds of genes working together to give rise to an ailment.
When it comes to complex diseases, we also know that there are multiple factors that we need to consider, including genetics, epigenetics and environmental factors. We live in an era where we have rich datasets with many different types of data. Each of these data types sheds light upon a different aspect of the disease mechanism, but we need to integrate these data types to gain a comprehensive understanding of how a complex disease works.
I develop computational methods for integrative analysis, so complex diseases are definitely the most interesting to me. I feel lucky to be a researcher at this time when I can help bring these data types together to understand mechanisms of diseases, which in turn will help inform treatment selection or help find new therapeutic strategies.
I am interested in applying our data integration methods to several complex diseases but I am currently working with a few Canadian groups to help better understand Diffuse Intrinsic Pontine Glioma (DIPG) – a type of fatal childhood brain cancer.
Your current collaborators include researchers from Yale, Harvard, MIT, SickKids and other leading organizations. How did you initiate and sustain these collaborations?
At the beginning of my research career, I would reach out to scientists who were working on interesting, challenging and cutting-edge problems. I enjoy working in collaborative environments because I believe the key to success in biomedical research is through collaborations between researchers from diverse backgrounds.
With the support of my collaborators, I’ve been able to learn and shift my focus from theoretical computational sciences to applications of data science in genetics of complex diseases. Now, sometimes collaborators approach me with their rich data, which I’m eager to help analyze.
With your new appointment, what are you looking forward to over the next few years?
I am eager to continue expanding my research program and working with new scientists on exciting cutting-edge problems in genetics and epigenetics of complex diseases. New technologies have revolutionized how we study diseases, and we are transitioning to a point where these new technologies are revolutionizing how we treat diseases. I am confident that we will have better ways of treating these diseases in the future using personalized medicine, and I want to help make that a reality.
September 25, 2018
Breast cancer radiotherapy in a single visit provides more convenient option to patients, reduces burden of therapy
Cross-Canada research team moves image-guided ultrasound system into clinical development
Traditional breast cancer radiation treatment requires multiple hospital visits over a period of weeks or months, which may be onerous to patients who live far from hospitals or in remote communities. An alternative radiotherapy technique, Permanent Breast Seed Implantation (PBSI), requires only a single hospital visit, but it involves the implantation of multiple small radioactive metal pellets into the breast of the patient within millimetres of a target. The procedure to administer this treatment is difficult to plan and complex to execute – impeding the adoption of PBSI in the clinic.
September 6, 2017
Toronto (September 6, 2017) – Understanding a cancer’s genetics is key to selecting targeted therapies that are likely to be of the most benefit to a patient. The Ontario Institute for Cancer Research (OICR) today announced a new study, called Ontario-wide Cancer TArgeted Nucleic Acid Evaluation (OCTANE). OCTANE will use next-generation genome sequencing technology to bring a unified molecular profiling approach to five Ontario cancer centres.
May 3, 2017
The advent of genomic sequencing and targeted therapies has opened the door to new ways of diagnosing and treating cancer. The Ontario-wide Cancer Targeted Nucleic Acid Evaluation (OCTANE) program is a new, province-wide initiative supported by OICR that will allow more patients to benefit from these innovations while also helping to advance cancer research in Ontario.
March 8, 2017
In London, OICR leaders discussed cancer research advancements being made in the city. How can OICR help further translate these breakthroughs to patients?
Ontario’s wealth of cancer research expertise is not limited to one city or region. Innovations from researchers and clinician-scientists across the province are changing the approach to cancer worldwide. London is one of Ontario’s major cancer research nodes and boasts a particular strength in developing medical imaging technology. The city is home to the Lawson Health Research Institute, Robarts Research Institute and the Centre for Imaging Technology Commercialization. Life science and biotechnology research is the source of $1.5 billion in economic activity for the city annually.
August 17, 2016
Toronto (August 17, 2016) – Mr. Peter Goodhand, President of The Ontario Institute for Cancer Research (OICR), today announced a new collaborative research study in partnership with Thermo Fisher Scientific and Queen’s University to help bring more targeted diagnosis and treatment to breast cancer patients in the future.
July 4, 2016
(from left to right) John Matheson, Medical Innovation Fellow, Western University, Mohammad Tavallaei, Medical Innovation Fellow, Western University, Jeff Courtney, CCO, FACIT, Nicholas Power Surgeon, London Health Sciences Centre, Asha Parekh Medical Innovation Fellow, Western University
Millions worldwide watch Dragons’ Den and Shark Tank where ambitious entrepreneurs try to convince deep-pocketed investors to provide funding for their innovative ideas. On June 1, 2016, a lucky group of cancer researchers from across Ontario had the opportunity to take part in a similar and perhaps ‘kinder’ pitch competition – the FACIT Falcons’ Fortunes event. The Fight Against Cancer Innovation Trust (FACIT) holds the competition every year to learn about some of the most exciting ideas in oncology research, provide funding for the best pitch, and to enhance, support and celebrate a culture of commercialization within Ontario.