Genetic characterization of a rare case of pheochromocytoma in a pulmonary transplant patient
Bibliographic record
Abstract
Background Pheochromocytomas (PCCs) and paragangliomas (PGLs) (PPGLs) are rare tumours arising from the chromaffin cells. There is evidence suggesting a link between hypoxemia and PPGLs. Chronic hypoxia can lead to gain of function somatic variants in the EPAS1 gene that encodes for hypoxia-inducible factor 2-alpha (HIF-2α), involved in PPGL tumorigenesis. Objective To describe a rare case of PCC in a pulmonary transplant patient and characterize the tumour’s genetic background. Clinical Case A 47 year-old man underwent a lung transplant for chronic obstructive pulmonary disease associated with alpha-1 antitrypsin deficiency. He required home oxygen therapy for 3 years prior to transplant. Nineteen years after transplant, a CT-scan revealed a 5.8 cm x 3.9 cm heterogeneous right adrenal mass (HU of 7). Initial assessments indicated elevated 24-hour urinary catecholamines. Consequently, the patient underwent laparoscopic right adrenalectomy, confirming the PCC diagnosis. Genetic studies 1) Germline PPGL multigene panel: After consent, the patient underwent a panel of 14 susceptibility genes for PPGLs that revealed no pathogenic variants. 2) Somatic genetic analysis for EPAS1 gene found no variants. However, tumoral RNA sequencing unveiled activation of the HIF pathway. Conclusion We describe a rare case of PCC in a pulmonary transplant recipient, with genetic analyses showing no germline pathogenic variants and no somatic variants in the EPAS1 gene. RNA sequencing highlighted HIF pathway activation and angiogenic implications. Further research is necessary to elucidate the genetic and molecular mechanisms underlying PCCs in this specific case and determine its link with hypoxemia in the context of pulmonary disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".