Abstract 3522: DICER1 Platform domain missense variants led to tumor susceptibility via failure of precursor miRNA binding
Bibliographic record
Abstract
Abstract DICER1 is a key protein in the micro(mi)RNA biogenesis pathway responsible for cleaving precursor (pre)-miRNA stemloops with its RNase IIIa and IIIb domains into mature single stranded miRNAs. DICER1 syndrome is a pleiotropic tumor predisposition syndrome in which clinical manifestations are normally first seen during childhood. This genetic disorder is defined by the presence of inherited or de novo germline pathogenic variants (GPVs) in the DICER1 gene. While many germline loss of function variants fail to generate DICER1 protein, a subset of patients has germline missense variants that are predicted to produce full-length DICER1 protein that cluster in the DICER1 Platform domain, a region that plays a role in binding to the 5’ phosphate of pre-miRNA stemloops. Due to the uncertainty surrounding the pathogenicity of missense variants in DICER1 syndrome, clinical actionability can be limited. To determine how Platform mutations predispose to DICER1 syndrome we characterized a number of these variants using in vitro pre-miRNA binding and cleavage assays. Interestingly, four of these variants displayed impaired pre-miRNA binding and processing, with three of them localizing to a hydrophobic pocket in the Platform domain. In keeping with in vitro results, DICER1 mutants displayed impaired miRNA processing when introduced into mesenchymal stem cells. Furthermore, we identified a second somatic hit in the RNase IIIb domain of DICER1 in thyroid nodular hyperplasia DNA from a patient affected by one of these variants. Taken together, these results identify a key region in the DICER1 protein that is essential for pre-miRNA processing and help the classification of these germline variants as pathogenic to ensure proper clinical management of affected patients. Additionally, these results provide insight on the molecular basis involved in DICER1 syndrome predisposition. Citation Format: Dylan Pelletier, Anne-Laure Chong, Sophie Albert, Marc Fabian, William Foulkes. DICER1 Platform domain missense variants led to tumor susceptibility via failure of precursor miRNA binding. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3522.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.005 | 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".