Abstract 3667: The Pediatric Brain Tumor Atlas - Transforming the landscape of research
Authors: Zhu Yuankun , Guo Yiran , Heath Allison P. , Raman Pichai , Appert Elizabeth , Mason Jennifer , Zhang Bo , Kalletla Karthik , Brown Miguel A. , Singh Natasha , Farrow Bailey K. , Killada Parimala , Kim Meen Chul , Felmeister Alex , Koptyra Mateusz P. , Mueller Sabine , Prados Michael , Lilly Jena V. , Lulla Rishi , Resnick Adam C. , Nazarian Javad , Storm Phillip B. , Waanders Angela J. 
Published: August 2019

Abstract
The Pediatric Brain Tumor Atlas (PBTA) is a cloud-based, cross-platform, and data-rich collaborative effort to accelerate discoveries for therapeutic intervention in children diagnosed with brain tumors. Pediatric brain tumors are the leading cause of disease-related death in children and despite advances in therapy, morbidity and mortality rates remain poor. There have been large scale efforts to genomically profile these cancers in the past, however public access to the resulting datasets are limited at best. In contrast, the PBTA, created as a multi-center effort by Children’s Brain Tumor Tissue Consortium (CBTTC) and Pacific Pediatric Neuro-Oncology Consortium (PNOC), has a goal of characterizing over 1,600 pediatric brain tumor samples and making the data publicly available to cancer researchers world-wide. PBTA comprises comprehensive clinical data in addition to whole exome sequencing, whole genome sequencing (WGS), RNA sequencing (RNASeq), miRNA sequencing, and proteomics. To address the need to inform novel discovery and clinical implementation of genomic approaches for diagnostic/therapeutic purposes, PBTA utilizes a cloud-based scientific environment, the CAVATICA portal. CAVATICA provides near real-time integration, dissemination, processing, and sharing of associated PetaByte-sized data by leveraging Amazon Web Services and powerful genomic workflows. It also enables dbGaP approved users to access TCGA and other datasets hosted by NCI’s Cancer Genomics’ Cloud, allowing for cross-disease studies. While CAVATICA manages raw sequencing data, processed annotations and biospecimen querying is enabled for PBTA via PedcBioPortal, a data visualization/analysis application further integrating additional public and deposited datasets. PBTA data can further be accessed via the KidsFirst platform, which integrates both CAVATICA and PedcBioPortal, and allows for querying of cancer and non-cancer genomic data for subsequent analytics, visualization, and discovery. The 1st dataset release of PBTA occurred on September 10th, 2018. In this release there are over 30 different types of pediatric brain tumors representing over 1,000 subjects. This data is available on CAVATICA, KidsFirst, and PedcBioPortal and users can seamlessly move between applications. Data types include those for matched tumor/normal samples, such as WGS, RNASeq, proteomics, longitudinal clinical data, imaging data (MRIs and radiology reports), histology slide images, and pathology reports. CBTTC/PNOC promote real time data release with no embargo period, allowing PBTA to have is up-to-date data releases with no embargo. The combination of cloud-based analytic platforms such as KidsFirst/CAVATICA/PedcBioPortal with data from both genomics and clinical practice serves to define a new paradigm for pediatric cancer research and collaborative discovery.
Citation Format: Yuankun Zhu, Yiran Guo, Allison P. Heath, Pichai Raman, Elizabeth Appert, Jennifer Mason, Bo Zhang, Karthik Kalletla, Miguel A. Brown, Natasha Singh, Bailey K. Farrow, Parimala Killada, Meen Chul Kim, Alex Felmeister, Mateusz P. Koptyra, Sabine Mueller, Michael Prados, Jena V. Lilly, Rishi Lulla, Adam C. Resnick, Javad Nazarian, Phillip B. Storm, Angela J. Waanders. The Pediatric Brain Tumor Atlas - Transforming the landscape of research [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3667.