Transcriptional subtypes on immune microenvironment and predicting postoperative recurrence and metastasis in human pheochromocytoma and paraganglioma.
Where this comes from
- Record sourced from PubMed, PMID 41400463.
- Also identified by DOI 10.7554/eLife.107108 and PMC identifier 12707812.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Human pheochromocytomas and paragangliomas (PPGLs) exhibit substantial molecular and immune heterogeneity, complicating risk assessment and treatment. Here, we define three distinct tumor transcriptional subtypes (C1, C2, and C3) in a clinically annotated cohort of PPGL patients through integrative transcriptomic and immunogenomic profiling. C1 is characterized by hypoxia-driven pathways and an immunosuppressive microenvironment, correlating with poor prognosis. C2 exhibits a highly inflamed immune landscape with robust CD8<sup>+</sup> T cell infiltration, suggesting potential sensitivity to immunotherapy. C3 is enriched in metabolic reprogramming pathways and displays intermediate clinical outcomes. Genetic analysis reveals subtype-specific mutational patterns, with pseudohypoxic driver mutations (<i>SDHB</i>, <i>VHL</i>, <i>SDHA</i>, and <i>SDHD</i>) predominant in C1 and C3, while kinase pathway alterations (<i>NF1</i> and <i>RET</i>) define C2. Single-nucleus RNA sequencing of human PPGL tumors further delineates immune ecosystem diversity. Notably, we identify <i>ANGPT2</i>, <i>PCSK1N</i>, and <i>GPX3</i> as key subtype-specific biomarkers, with <i>ANGPT2</i> driving tumor progression in C1 and emerging as a potential therapeutic target. Our findings provide a refined molecular classification integrating immune and genomic features in human PPGLs, offering a framework for improved prognostication and precision therapies in this rare neuroendocrine tumor type.
Medical subject headings
- Pheochromocytoma
- Paraganglioma
- Tumor Microenvironment
- Adrenal Gland Neoplasms
- Neoplasm Recurrence, Local