Childhood Cancer Data Initiative Annual Symposium (Abstract Registration): Submission #79
Submission information
Submission Number: 79
Submission ID: 193441
Submission UUID: 1aee3ac6-f4dc-409f-a41d-3a6cccb526ca
Submission URI: /nci/ccdisymposium/abstract?utm_source=aug18_2025abstract&utm_medium=email&utm_campaign=2026ccdisymposium
Submission Update: /nci/ccdisymposium/abstract?utm_source=aug18_2025abstract&utm_medium=email&utm_campaign=2026ccdisymposium&token=MwRp46_t6ikNtrJ9q8qgEM_B4QzmiyxVIzEYA4Q6prk
Created: Wed, 09/02/2026 - 04:13
Completed: Wed, 09/02/2026 - 04:16
Changed: Wed, 09/02/2026 - 04:16
Remote IP address: 10.208.28.41
Submitted by: Anonymous
Language: English
Is draft: No
Abstract Submission for Poster Presentation ------------------------------------------- Abstract Title:: DATA-DRIVEN CHARACTERIZATION OF ANGIOGENESIS AND TREATMENT RESISTANCE IN PEDIATRIC HIGH-GRADE GLIOMA Abstract:: Pediatric high-grade gliomas (pHGG) are aggressive and molecularly diverse brain tumors with limited treatment options and poor outcomes. Their diffuse growth and marked molecular heterogeneity contribute to frequent treatment failure. In addition to tumor-intrinsic factors, the tumor microenvironment and its interaction with the vasculature are increasingly recognized as important contributors to disease progression. Angiogenesis, vascular remodeling, hypoxia, and tumor–vascular interactions may influence tumor growth and treatment response, but their molecular links to treatment resistance in pHGG. The CCDI provides an opportunity to investigate these relationships using integrated pediatric molecular and clinical datasets. To identify angiogenesis-associated molecular signatures linked to aggressive tumor biology and treatment resistance in pHGG and to prioritize biologically relevant and potentially actionable vascular targets. Publicly available CCDI molecular and clinical datasets will be analyzed using an integrated computational framework. Transcriptomic data will undergo standardized preprocessing and differential-expression analysis, followed by functional and pathway enrichment focused on angiogenesis, vascular remodeling, hypoxia, tumor–vascular interactions, and treatment resistance. Protein–protein interaction and network analyses will be used to identify functionally connected genes and potential regulatory hubs. Where clinical and treatment-response information is available, prioritized candidates will be assessed for associations with disease characteristics and clinical outcomes. Candidate selection will integrate differential expression, pathway involvement,clinical relevance, biological plausibility, and therapeutic tractability. The study is expected to identify angiogenesis-related signatures and vascular regulatory nodes associated with aggressive and treatment-resistant pHGG. By examining vascular biology within the broader tumor molecular landscape, this approach may generate clinically relevant and testable hypotheses for future functional validation. Authors:: 1. First Name: Dr. Ravi Last Name: Teja Banda Degree(s): MBBS, MD, DM Organization: Continental Hospital 2. First Name: Priya Rithika Last Name: Vella Degree(s): BSc Hons Life Science Organization: Continental Hospital Presenting Author:: Priya Rithika Vella Institution:: Continental Hospital Email Address:: Priyarithikavella@gmail.com