(Big) Data driven identification of pharmacogenomic interactions and new therapeutic targets in cancer
Il 22/03/2018 ore 14.30 - 15.30
Sala Conferenze Cnr, Area della Ricerca Na1, Via p.Castellino, 111 - 80131 Napoli
Dr Francesco iorio from the Wellcome Sanger Institute (Hinxton, Cambridge, UK) will give a seminar on the development of new algorithms and computational tools for the analysis of large-scale cancer pharmacogenomics and functional genomics datasets (from chemical and genome editing screens), to identify molecular markers of drug response and new oncology therapeutic targets.
Systematic studies of cancer genomes are providing unprecedented insights into the molecular nature of human cancer. Using this information to guide the development and application of therapies in the clinic is challenging.
Iorio's group has performed a large-scale integrative study of pharmacogenomic data encompassing the characterisation of 1,001 cancer cell lines and 11,289 primary tumours from 29 different tissues. Results from this analysis show that cancer-driving alterations identified in primary tumors (integrating mutations, copy-number alterations, methylation and gene expression) are informative of the response to 265 compounds profiled in human cancer cell-lines. Additionally, cell-lines recapitulate partially but faithfully the landscape of oncogenic aberrations identified in tumors, and many of these aberrations interact statistically with drug sensitivity or resistance. Moreover, logic-based modeling uncovers combinations of aberrations that specifically sensitize to drugs, and machine-learning techniques can be used to explore the ability of different data omics (and their combinations) in predicting drug response. In his talk, Dr Iorio will illustrate these analyses, showing representative results and proposing associated datasets and web-portals as possible resources for the identification of novel therapeutic options for selected sub-populations of cancer patients.
Finally, he will introduce his current effort to identify new therapeutic targets and synthetic lethalities in cancer, employing a CRISPR-Cas9 pooled genome-wide drop-out screen across 400 cancer in vitro models, and a new computational tool for in silico correction of gene-independent responses to CRISPR-Cas9 targeting.
CNR - Istituto di biochimica delle proteine
Via P. Castellino, 111 80131 Napoli
Modalità di accesso: ingresso libero