Pheochromocytoma and paraganglioma syndromes: genetics and management update
Bibliographic record
Abstract
Pheochromocytomas (pheos) and paragangliomas (pgls) are rare tumours of the autonomic nervous system, originating from paraganglia, which are dispersed neuroendocrine organs characterized by catecholamine and peptide-producing cells derived from the neural crest. Medical textbooks have traditionally suggested that 10% of pheos are heritable. However, the frequency of heritable pheo has been underestimated. Three syndromic conditions-Von Hippel-Lindau (vhl), multiple endocrine neoplasia type 2 (men2), and neurofibromatosis type 1 (nf1)-and three genes-subunits of the succinate dehydrogenase (SDH) complex: SDHB, SDHC, and SDHD-are established causes of hereditary pheo-pgl. In the last few years, four new genes (SDHA, SDHAF2, MAX, and TMEM127) have been found to be associated with predisposition to these tumours. The present review, illustrated by three case reports, gives an update of the genetic basis of pheo-pgl and of the parent-of-origin effect implicated in the transmission of SDHD and SDHAF2. We discuss the referral criteria that should guide the decision to offer genetic testing to affected patients. We also specify the genes that are most likely implicated-based on particular features such as malignancy, bilateralism, or childhood-onset-to help geneticists efficiently order appropriate genetic tests. Finally, we review the screening recommendations for carriers of a pheo-pgl predisposition mutation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".