Multi-omic analysis of SDHB-deficient pheochromocytomas and paragangliomas identifies metastasis and treatment-related molecular profiles.
Summary
Across 94 SDHB-mutant PCPG, sympathetic vs parasympathetic tumors show distinct cell-of-origin molecular programs. TERT and ATRX alterations mark metastatic disease with increased mutation load and telomeric/transcriptional features. Two acquired resistance mechanisms to alkylating chemotherapy were identified: MGMT overexpression and mismatch repair deficiency with hypermutation.
Key Findings
- Sympathetic vs parasympathetic SDHB-mutant PCPG show distinct molecular profiles reflecting cell-of-origin.
- TERT and ATRX alterations are associated with metastatic PCPG, with higher mutation loads and specific telomeric/transcriptional signatures.
- Most tumors have quiet genomes with occasional cooperative drivers (e.g., EPAS1/HIF-2α).
- Two resistance mechanisms to alkylating chemotherapy were identified: MGMT overexpression and mismatch repair deficiency causing hypermutation.
Clinical Implications
Support routine testing of TERT/ATRX in SDHB-mutant PCPG to stratify metastasis risk; consider MGMT expression and MMR status when selecting alkylating agents or immunotherapy, and for clinical trial eligibility.
Why It Matters
Provides clinically actionable biomarkers (TERT/ATRX) for metastasis risk and uncovers resistance mechanisms (MGMT, MMR deficiency) that can inform therapy selection and trial design in SDHB-mutant PCPG.
Limitations
- Observational design; lacks prospective clinical validation of biomarker-guided decisions.
- Sample size is substantial for a rare tumor but still limits subgroup analyses.
Future Directions
Prospectively validate TERT/ATRX, MGMT, and MMR status as predictive/prognostic markers; explore tailored regimens (e.g., MGMT-low alkylator sensitivity, MMR-deficient immunotherapy) and integrate multi-omic signatures into risk models.
Study Information
- Study Type
- Cohort
- Research Domain
- Prognosis
- Evidence Level
- III - Observational molecular cohort linking genomic features to clinical behavior.
- Study Design
- OTHER