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PPGLomics: An Interactive Platform for Pheochromocytoma and Paraganglioma Transcriptomics
Hussam Alkaissi1, Catherine M Gordon2, Karel Pacak2,3,4,5
1National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA.
Biorxiv : the Preprint Server for Biology
|April 29, 2026
Summary
PPGLomics is a new web platform for analyzing pheochromocytoma and paraganglioma (PPGL) tumors. It offers tools for exploring gene expression and aiding research into these rare neuroendocrine tumors.
Area of Science:
- Endocrinology
- Oncology
- Bioinformatics
Background:
- Pheochromocytoma and paraganglioma (PPGL) are rare neuroendocrine tumors with high heritability.
- Dedicated bioinformatics resources for PPGL are limited, hindering research and stratification.
- Existing pan-cancer platforms lack disease-specific annotations for PPGL analysis.
Purpose of the Study:
- To introduce PPGLomics, an interactive web-based platform for comprehensive PPGL transcriptomics analysis.
- To provide accessible tools for researchers and clinicians to explore gene expression patterns in PPGL.
- To facilitate hypothesis generation and stratification of PPGL subtypes.
Main Methods:
- Integration of TCGA-PCPG (n=160) and A5 consortium SDHB (n=91) cohorts.
- Development of a user-friendly web platform (PPGLomics v1.0).
- Implementation of tools for differential expression, correlation, and survival analyses.
Main Results:
- PPGLomics v1.0 provides integrated transcriptomic data with detailed annotations.
- The platform enables visualization through boxplots, heatmaps, volcano plots, and Kaplan-Meier plots.
- Users can perform complex analyses without requiring bioinformatics expertise.
Conclusions:
- PPGLomics offers a valuable, accessible resource for PPGL research.
- The platform empowers diverse users to investigate gene expression in PPGL subtypes.
- Enhanced analysis capabilities can advance understanding and treatment of PPGL.
