Germline <i>DICER1</i> mutations and familial cystic nephroma
Bibliographic record
Abstract
BACKGROUND: Multilocular cystic nephroma (CN) is a benign kidney tumour and is part of a family of kidney neoplasms including cystic partially differentiated nephroblastoma and Wilms tumour (WT). CN is rarely familial or bilateral, but it occurs in about 10% of families where pleuropulmonary blastoma (PPB) is present. Recently, germline mutations in DICER1 were found in familial PPB. OBJECTIVE: To search for DICER1 mutations in two families with familial CN; PPB was present in one family. Additionally, to test germline DNA from 50 children with sporadic WT for DICER1 mutations. RESULTS: Both families with multiple CN were found to have mutations in DICER1 leading to premature stop codons, predicted to result in loss of the ribonuclease and dsRNA binding domains. These domains are essential to the function of DICER1. No germline mutations were found in any of the 50 children who had developed WT. CONCLUSION: It has been established that DICER1 mutations cause familial CN and may be implicated in bilateral CN. No germline mutations were found in the patients with WT, suggesting that DICER1 mutations are unlikely to have a major role in the aetiology of sporadic WT. These results provide further evidence implicating miRNA dysregulation in tumourigenesis.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".