Prognostic Significance of <i>CTNNB1</i> Mutation in Recurrence of Sporadic Desmoid Tumors
Bibliographic record
Abstract
Aim: Desmoid tumor (DT) is a rare, locally aggressive benign neoplasm with a high recurrence rate. The majority of sporadic DTs are associated with mutations in CTNNB1, but whether CTNNB1 mutations are associated with the risk of DT recurrence remains unclear. The goal of this meta-analysis was to evaluate the association between CTNNB1 mutation and recurrence in surgically treated DT patients. Methods: PubMed, Embase and Cochrane library were systematically searched. The outcome of interest was the risk of recurrence. The number of patients with CTNNB1 mutation and the number of recurrences they developed were recorded and compared. The quality of these studies was assessed using the Newcastle–Ottawa Quality Assessment Scale. Odds ratios and variances were calculated and pooled. Results: A total of eight studies were identified including 637 patients. S45F-mutated DTs were more likely to recur compared with wild type, T41A and other mutated DTs. However, there were no statistically significant differences in the rate of recurrence between wild type and T41A mutation or other mutation. Conclusions: Among CTNNB1 mutations, the mutation S45F is a high-risk factor for recurrence of DT and may be a predictive marker for the recurrence of sporadic DT.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.007 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".