Yasser Riazalhosseini

Yasser Riazalhosseini

Assistant Professor, Department of Human Genetics
Address
740 Dr Penfield Ave, Room 4203
Montreal, Quebec H3A 0G1
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Comprehensive molecular understanding of renal cell carcinoma. Renal cell carcinoma (RCC) is the most common form of kidney tumors. RCC has different subtypes with clear cell (ccRCC; conventional) being the most frequently diagnosed subtype accounting for 75-80% of RCCs. The incidence of RCC is increasing worldwide, but there is no biological marker for routine clinical use. Furthermore, it is essential to identify novel therapies as RCCs are resistant to conventional chemo- and radio-therapy. We have recently generated comprehensive genome, epigenome and transcriptome landscapes of ccRCC. In an integrative manner, our lab is dissecting these profiles in order to identify molecular aberrations that possess cancer-driving activities. We have also extended our research to characterize molecular aberrations of other subtypes of RCC including papillary and chromophobe tumors, whose genetic abnormalities are less understood.

Post-transcriptional regulatory programs in cancer. We are investigating role of non-coding transcripts including long non-coding RNAs and microRNAs (miRNAs) as well as RNA binding proteins (RBPs) in post-transcriptional deregulation of cancer transcriptome. Specifically, we combine cancer-associated gene expression patterns with regulatory networks of miRNAs and RBPs, and apply quantitative approaches to these profiles in order to predict factors whose aberrant function can explain the abnormal transcriptome of tumor samples. These potentially “master regulators” are then subjected to experimental verification for their driver activities.

Investigating intra-tumoral heterogeneity and its contribution to metastasis. Our lab has optimized protocols of NGS on minutes amount of DNA as well as on DNA isolated from Formalin-fixed, paraffin-embedded (FFPE) samples providing an opportunity to analyze archived primary tumors of patients affected with metastatic or recurrent disease. We analyze the heterogeneous clonal composition of primary and metastatic tumors in order to investigate genomic evolution of metastasis.