Wilms Tumor Associated With the 9q22.3 Microdeletion Syndrome: 2 New Case Reports and a Review of The Literature
Bibliographic record
Abstract
BACKGROUND: The 9q22.3 syndrome is an autosomal dominant microdeletion syndrome with similarities to Gorlin syndrome (GS). It encompasses the PTCH1 gene locus that harbors mutations for GS. Although the 9q22.3 syndrome is associated with Wilms tumor (WT), WT is not a GS-associated tumor, implying a different mechanism involving PTCH1, or a different locus in the 9q22.3 region. The goal of this study is to report the association between WT and 9q22.3 syndrome and review the outcome of treatment. OBSERVATIONS: We report 2 new cases of WT with 9q22.3 deletion and review the literature. Among the 44 described patients with 9q22.3 deletion, 7 developed WT (16%) at a mean age of 45 months (range, 4 to 84 mo). All patients had dysmorphic features, macrocephaly, and developmental delay, and there was an association with overgrowth (4/7). One patient had bilateral WT, another had a synchronous rhabdomyosarcoma. The outcome was excellent with all cases reported to be in complete remission. CONCLUSIONS: The 9q22.3 microdeletion syndrome should be considered at diagnosis of WT in children with dysmorphic features. Conversely, patients with a known 9q22.3 deletion syndrome should be considered for a WT predisposition surveillance program, especially those with overgrowth. The management should be individualized and given the excellent prognosis, and the unknown future risk of metachronous disease or other malignancy, the surgical approach should be carefully considered.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".