Tbio-28. Diseasexpress, a Cancer Data Analytics and Visualization Tool for Identifying Immunotherapeutic Targets in Pediatric Brain Tumors and Other Cancers
Year: 2018
Type: conference-abstract
Abstract: Identifying selective immunotherapy targets for clinical development in pediatric brain tumors poses a number of challenges. Growing publicly available datasets complemented by large scale cohorts of RNA sequencing data derived from cross-disease cohorts in the Children’s Brain Tumor Tissue Consortium (CBTTC) and Pacific Pediatric Neuro-Oncology Consortium (PNOC) have provided for the development of novel, expression-based workflows designed to identify and prioritize tumor associated antigens for CAR-T, ADC, and mAB based therapeutic strategies for pediatric brain tumors and other cancers. In order to support such large-scale integrated analyses, we developed a data analytics and harmonized sequencing platform (DiseaseXpress) that overcomes a number of challenges. First, we compare our large-scale RNA sequencing based mRNA expression measures between tumors and a compendium harmonized normal mRNA (GTEx) to determine genes which are significantly differentially expressed overall or in a meaningful molecular subtype. We then couple this unbiased RNA sequencing-based discovery platform with a robust triaging step that includes the comprehensive validation of differential protein expression and tumor cell functional dependency. Together, implementing these workflows in DiseaseXpress provides for novel avenues for CAR-T target development and translation to a potently efficacious immunotherapeutic.
Source: Neuro-Oncology
Language: English
Subfield: Genetics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2808943109