Molecular Implications of RET Mutations for Pheochromocytoma Risk in Multiple Endocrine Neoplasia 2
Bibliographic record
Abstract
Multiple endocrine neoplasia Type 2 (MEN 2) is an inherited cancer syndrome characterized by medullary thyroid carcinoma (MTC). The disease has three subtypes, which are distinguished by the presence of additional phenotypes. In particular, pheochromocytoma occurs in approximately 50% of patients with the MEN 2A or MEN 2B subtypes, but is not found in patients with the milder disease subtype, familial MTC (FMTC). All subtypes of MEN 2 are caused by activating mutations of the RET (REarranged in Transfection) proto-oncogene. RET encodes a transmembrane receptor tyrosine kinase, required for development of neuroendocrine cell types and the kidneys. All MEN 2 subtypes are associated with single amino acid substitution mutations that are found in either the extracellular domain or in the kinase domain of RET. There are strong genotype-phenotype correlations in MEN 2 between patient phenotype and the specific residue that is mutated. MEN 2A is primarily associated with substitutions at five extracellular cysteine residues, while 95% of MEN 2B is associated with a single methionine to threonine mutation in the kinase domain (M918T). In FMTC, RET mutations are more broadly distributed, with both extracellular cysteines and intracellular sites implicated. In all cases, MEN 2-RET mutations result in constitutive activation of the receptor, although the mechanism and relative functional effects of the mutations vary. Recent advances in functional characterization and development of molecular models of RET and of various MEN 2-RET mutants are helping us understand tissue-specific differences in oncogenic potential conferred by the different RET mutations. Here, we discuss and compare several well-characterized mutations of the extracellular and kinase domains, which have quite varied functional implications.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".