Exhibitor Tutorial
PerkinElmer Exhibitor Tutorial: Clinical Implementation of Precision Oncology using Gene-Drug Association
Tuesday, February 6
2:00 PM - 2:45 PM
Location: Room 11B
Genomic characterization of tumors has become essential in facilitating informed decisions in precision medicine era. However, optimal therapeutic approach is often confounded by extensive tumor heterogeneity and genomic complexity. To address such challenges, we have constructed a comprehensive portrait of multisector and longitudinal glioblastoma (GBM) genome and transcriptome. Combined genome and chemical screening of patient-derived isolates have demonstrated two prevalent patterns of tumor evolutionary models, the “Big Bang” and “Multiverse”. The former consists of tumors growing predominantly as a single expansion, producing numerous intermixed subclones, while the latter is defined by tumor clones that are geographically segregated at an early stage of the evolution, leading to the construction of multiple universes. Mathematical modeling of tumor evolutionary patterns delineated the sequential order of somatic mutational events that constitute glioblastoma genome architecture. Additionally, we report the genomic and transcriptomic profiles of 462 patient tumor-derived cells (PDCs) across 14 cancer types, together with responses to 60 targeted agents. Through our robust and efficient high throughput screen platform. Collectively, our work unravels evolutionary inference from integrated genomic analysis in designing more optimum targeted therapeutic interventions and provides unprecedented insights into pharmacogenomic advances that will contribute to empowering precision oncology.