Dissecting glioma biology by single-cell genomics

About this Class

Please mark your calendar for the next Neuro-Oncology Branch Visiting Scholar Lecture Series: CNS Malignancies: From Basic Biology to Clinical Applications. We are pleased to have Prof. Mario L. Suva, join us via WebEx and share his latest findings. WebEx link: https://cbiit.webex.com/cbiit/j.php?MTID=m65b1307bcb043a2c657216a0281441b2   Mario L. Suva, M.D, Ph.D is an Associate Professor of Pathology at Harvard Medical School, Massachusetts General Hospital and Broad Institute, and his group is investigating cellular heterogeneity, epigenetic programs and differentiation hierarchies in cancer. His lab has taken a leading role in dissecting clinical brain tumors with single-cell genomics to tackle the challenges posed by tumor heterogeneity. To this end, Dr. Suva’s Group  pioneered and co-directed the first study leveraging single-cell RNA-sequencing to decipher human glioblastoma (Patel 2014), a landmark work with profound implications for our understanding of this disease and for its management. They have subsequently brought these technologies to the next-level in specific subsets of adult and pediatric gliomas, with increased resolution, higher throughput and reduced costs, redefining in a comprehensive way cancer cells lineages, cancer stem cell programs and the tumor micro-environment in brain tumors (Tirosh 2016, Venteicher 2017, Filbin 2018, Neftel 2019, Hovestadt 2019). Overall, his lab works have described with great details the circuitries of cancer and immune cells in gliomas both in adults and children, offering novel insights into their biology and suggesting candidate attendant therapeutic strategies. Dr. Suva has authored over 70 publications in journals like Nature Medicine, Nature, Science, Cell, Cancer Cell, Nature Communications, Cancer Research, with his publications being featured as covers or being highly cited as seen in over 12800 citations as of 2021.   For more information about Dr. Suva’s research please find the link below: https://suvalab.mgh.harvard.edu