Association of Alveolar Rhabdomyosarcoma with the Beckwith-Wiedemann Syndrome
Bibliographic record
Abstract
Rhabdomyosarcoma (RMS) is a soft tissue tumor of childhood frequently diagnosed between the first and fifth year of life. Children with the Beckwith-Wiedemann syndrome (BWS), a congenital overgrowth syndrome characterized by exomphalos, macroglossia, and macrosomia, have an increased risk of developing childhood tumors including Wilms tumor, hepatoblastoma, neuroblastoma, and RMS. Although an association between RMS and the BWS is well accepted, only four cases have been reported to date, and of these, three were reported as embryonal RMS. Based on these data, an association between BWS and embryonal RMS has been proposed. We report three additional cases of BWS with RMS and review the clinical data for each patient as well as the pathology of their tumors. All three cases of BWS had histology consistent with alveolar RMS and were diagnosed at 6 weeks and 5 and 13 years of age. In two of these BWS cases, constitutional defects of 11p15 imprinting were demonstrated. Furthermore, cytogenetic analysis of the tumors did not detect the t(2;13) or t(1;13) translocations that generate the PAX3- or PAX7-FKHR fusion proteins common to alveolar RMS. These observations suggest that the development of alveolar RMS tumors in BWS may occur without the chromosomal rearrangement producing the PAX-FKHR fusion protein. In summary, we present three new cases of RMS demonstrating a new association between BWS and an uncommon subtype of alveolar RMS. The absence of the translocations commonly associated with alveolar rhabdomyosarcoma suggests a common 11p15 pathway for alveolar RMS and BWS.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".