Dr. Paul Boutros
Today, most cancer patients are treated based on physical characteristics of their tumour — usually how large it is and how far it has spread. Dr. Paul Boutros’ team uses biological big data to create new biomarkers that personalize therapy for individual patients. For example, the team develops new algorithms to identify prostate cancer patients whose disease is aggressive and requires clinical intervention. These algorithms are implemented in open-source software and the team works with clinical partners around the world to validate their novel computational techniques and to move new diagnostic tests toward clinical practice.
- Professor, Department of Human Genetics, University of California, Los Angeles
- Professor, Department of Urology, University of California, Los Angeles
- Associate Director Cancer Informatics, Institute for Precision Health, University of California, Los Angeles
- Director Cancer Data Sciences, Jonsson Comprehensive Cancer Centre, University of California, Los Angeles
- Associate Professor, Pharmacology and Toxicology, University of Toronto
- Associate Professor, Medical Biophysics, University of Toronto
- Co-Lead, Canadian Prostate Cancer Genome Network (CPC-GENE)
- Lead, ICGC-TCGA DREAM Somatic Mutation Calling Challenge
- Cancer genomics
- Computational biology
- Prostate cancer
- Big data
- Precision medicine
- Haider S, Yao CQ, Sabine VS, …, Boutros PC. Pathway-based subnetworks enable cross-disease biomarker discovery. Nat Commun. 2018; 9(1):4746.
- Espiritu SMG, Liu LY, Rubanova Y, …, Boutros PC. The Evolutionary Landscape of Localized Prostate Cancers Drives Clinical Aggression. Cell. 2018; 173(4):1003-1013.e15
- Fraser M, Sabelnykova VY, Yamaguchi TN, …, Boutros PC. Genomic hallmarks of localized, non-indolent prostate cancer. Nature. 2017; 541(7637):359-364.
- Boutros PC, Fraser M, Harding NJ, …, Bristow RG. Spatial genomic heterogeneity within localized, multifocal prostate cancer. Nat Genet. 2015; 47(7):736-45.
- Ewing AD, Houlahan KE, Hu Y, …, Boutros PC. Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection. Nat Methods. 2015; 12(7):623-30.
- BPG for big data visualization
- S22S: reference-free somatic mutation calling
- HPCI: a framework for parallel computing in perl
All Boutros Lab software is freely available on the Boutros Lab Website.
- Canadian Cancer Society, Dorval Prize, 2018
- University of Toronto Faculty of Medicine, Early Career Graduate Teaching Award. 2016
- University of Waterloo, Young Alumni Award, 2016
- Canadian Institutes of Health Research, New Investigator Award, 2015
- Prostate Cancer Canada, Rising Star, 2014
- Terry Fox Research Institute, New Investigator Award, 2014
Previous experience and education
- Investigator II, OICR
- Assistant Professor, Medical Biophysics, University of Toronto
- Assistant Professor, Pharmacology & Toxicology, University of Toronto
- Investigator I, OICR
- PhD, Department of Medical Biophysics, University of Toronto
- Fellow, Informatics and Bio-computing, OICR
- B.Sc., Chemistry, Honours Co-operative Education, University of Waterloo
- Bioinformatics Researcher, Department of Pharmacology, University of Toronto
- Bioinformatics Researcher, Department of Biochemistry, Michigan State University
Opportunities to collaborate
The Boutros lab welcomes collaboration with researchers around the world. Contact us to find out more or visit OICR’s Collaborative Research Resources directory for more opportunities to collaborate with OICR researchers.