Transcriptional subtypes on immune microenvironment and predicting postoperative recurrence and metastasis in human pheochromocytoma and paraganglioma

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 + 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 ( SDHB , VHL , SDHA , and SDHD ) predominant in C1 and C3, while kinase pathway alterations ( NF1 and RET ) define C2. Single-nucleus RNA sequencing of human PPGL tumors further delineates immune ecosystem diversity. Notably, we identify ANGPT2 , PCSK1N , and GPX3 as key subtype-specific biomarkers, with ANGPT2 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.

Authors

Institutions

Publication Details

Journal
eLife
Published
2025-11-26
DOI
https://doi.org/10.7554/elife.107108.3
Primary Topic
Adrenal and Paraganglionic Tumors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transcriptional subtypes on immune microenvironment and predicting postoperative recurrence and metastasis in human pheochromocytoma and paraganglioma

Lingyu Li, Zhenfu Gao, Yan Xu, Yibo Zhang et al.
eLife
Adrenal and Paraganglionic Tumors
article

Transcriptional subtypes on immune microenvironment and predicting postoperative recurrence and metastasis in human pheochromocytoma and paraganglioma

Lingyu Li, Zhenfu Gao, Yan Xu, Yibo Zhang, S. S. Shi, Fuchun Nan, Yang Liu, Jingyun Chen
article en

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 + 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 ( SDHB , VHL , SDHA , and SDHD ) predominant in C1 and C3, while kinase pathway alterations ( NF1 and RET ) define C2. Single-nucleus RNA sequencing of human PPGL tumors further delineates immune ecosystem diversity. Notably, we identify ANGPT2 , PCSK1N , and GPX3 as key subtype-specific biomarkers, with ANGPT2 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.

eLifeVol. 14
Jilin University (CN), First Hospital of Jilin University (CN)
Openalex Percentile: Top 39%
Adrenal and Paraganglionic Tumors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Transcriptional subtypes on immune microenvironment and predicting postoperative recurrence and metastasis in human pheochromocytoma and paraganglioma — Lingyu Li, Zhenfu Gao, et al. · eLife (2025) | TGRS Research Map | TGRS