Diagnosis of Parathyroid Tumors in Familial Isolated Hyperparathyroidism with HRPT2 Mutation: Implications for Cancer Surveillance
Bibliographic record
Abstract
CONTEXT: Mutations of the HRPT2 gene have recently been implicated in the development of parathyroid carcinoma. OBJECTIVE: The objective of this study was early diagnosis of parathyroid tumor in a family with germline HRPT2 mutation. PATIENTS, METHODS, AND RESULTS: In a 40-yr-old male previously treated for parathyroid atypical adenoma, we screened the 17 translated HRPT2 exons and their exon-intron boundaries and found a germline frameshift mutation in exon 7 (685delAGAG) predicting a premature stop codon at nucleotides 767-769. Nine family members (age, 33.9 +/- 19.8 yr, mean +/- SD) also carry the mutation, but eight have had normal serum calcium. Biochemical and ultrasonographic evaluation uncovered a 27-yr-old hypercalcemic carrier niece with an atypical parathyroid adenoma, and a 43-yr-old normocalcemic carrier sister was found by ultrasonography to have an extrathyroidal nodule, which proved to be parathyroid carcinoma. The index case, 12 yr after surgery, was normocalcemic, but ultrasonography revealed an extrathyroidal nodule in the contralateral hemithyroid tissue that proved to be atypical adenoma. CONCLUSIONS: Our report confirms that germline mutations of HRPT2 gene may be associated with multiple parathyroid neoplasms. Our experience suggests that longitudinal surveillance by serum biochemistry alone may not be 100% sensitive, and addition of routine neck ultrasonography is a readily accepted adjunct that may facilitate earlier disease detection in some families.
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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 | 0.003 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".