Childhood Cancer Data Initiative Annual Symposium (Abstract Registration): Submission #83
Submission information
Submission Number: 83
Submission ID: 193782
Submission UUID: ce8c5218-fc94-40e1-b0a2-67ebb733e588
Submission URI: /nci/ccdisymposium/abstract
Created: Thu, 09/03/2026 - 19:43
Completed: Thu, 09/03/2026 - 19:48
Changed: Thu, 09/03/2026 - 19:48
Remote IP address: 10.208.24.244
Submitted by: Anonymous
Language: English
Is draft: No
Abstract Submission for Poster Presentation ------------------------------------------- Abstract Title:: Single-Cell Multiome Sequencing Reveals Distinct Transcriptional Programs Associated with ecDNA Amplifications in Medulloblastoma Abstract:: Extrachromosomal DNA (ecDNA) is a key driver of intratumoral heterogeneity and has been linked to therapeutic resistance and poor patient outcomes. However, technical limitations in identifying, isolating, and analyzing ecDNA at the single-cell level have hindered our understanding of its role in tumor development and treatment response. We have previously developed a single-cell multiome (RNA + ATAC) sequencing approach that enables the simultaneous analyses of ecDNA and its gene expression profiles. Initial application of this method in a medulloblastoma tumor of the sonic hedgehog subgroup revealed distinct transcriptional signatures in ecDNA-positive compared to ecDNA-negative and non-malignant cells. Building on these findings, we performed single-cell multiome sequencing on an additional cohort of medulloblastoma specimens harboring ecDNA amplifications, obtained from Rady Children's Hospital and the Children's Brain Tumor Network (CBTN). Initial analyses revealed distinct functional characteristics between ecDNA-positive and ecDNA-negative tumor cells. For example, ecDNA-positive tumor cells show up-regulation of DNA replication, recombination, and damage repair pathways, while ecDNA-negative cells demonstrated increased expression of synaptic activity, cell signaling, and morphogenesis pathways. Our ongoing analysis focuses on further defining the transcriptional programs that distinguish ecDNA-positive from ecDNA-negative tumor cells, ultimately informing future functional genetic and pharmacological studies targeting transcriptional dependencies in ecDNA-driven medulloblastoma tumors. Authors:: 1. First Name: Hui Last Name: Hui Degree(s): Master Organization: University of California San Diego 2. First Name: Jessica Last Name: Wang Degree(s): Bachelor Organization: Sanford Burnham Prebys Medical Discovery Institute 3. First Name: Rishaan Last Name: Kenkre Degree(s): Bachelor Organization: Sanford Burnham Prebys Medical Discovery Institute 4. First Name: Yan Yuen Last Name: Lo Degree(s): Bachelor Organization: Sanford Burnham Prebys Medical Discovery Institute 5. First Name: Jon Last Name: Larson Degree(s): PhD Organization: Sanford Burnham Prebys Medical Discovery Institute 6. First Name: Sunita Last Name: Sridhar Degree(s): MD Organization: Rady Children’s Hospital 7. First Name: Owen Last Name: Chapman Degree(s): PhD Organization: Nagoya City University Graduate School of Medicine 8. First Name: Lukas Last Name: Chavez Degree(s): PhD Organization: Sanford Burnham Prebys Medical Discovery Institute Presenting Author:: Hui Hui Institution:: Sanford Burnham Prebys Medical Discovery Institute Email Address:: ahui@sbpdiscovery.org