Molecular cytogenetic analysis consistently identifies translocations involving chromosomes 1, 2 and 15 in five embryonal rhabdomyosarcoma cell lines and a PAX-FOXO1A fusion gene negative alveolar rhabdomyosarcoma cell line
Bibliographic record
Abstract
Rhabdomyosarcoma in children is a "small round blue cell tumour" that displays skeletal muscle differentiation. Two main histological variants are recognised, alveolar (ARMS) and embryonal (ERMS) rhabdomyosarcoma. Whereas consistent chromosome translocations characteristic of ARMS have been reported, no such cytogenetic abnormality has yet been described in ERMS. We have used multiple colour chromosome painting to obtain composite karyotypes for five ERMS cell lines and one PAX-FOXO1A fusion gene negative ARMS. The cell lines were assessed by spectral karyotyping (SKY), tailored multi-fluorophore fluorescence in situ hybridisation (M-FISH) using series of seven colour paint sets generated to examine specific abnormalities, and comparative genomic hybridisation (CGH). This approach enabled us to obtain karyotypes of the cell lines in greater detail than previously possible. Several recurring cytogenetic abnormalities were demonstrated, including translocations involving chromosomes 1 and 15 and chromosomes 2 and 15, in 4/6 and 2/6 cell lines respectively. All six cell lines demonstrated abnormalities of chromosome 15. Translocations between chromosomes 1 and 15 have previously been recorded in two primary cases of ERMS by conventional cytogenetics. Analysis of the translocation breakpoints may suggest mechanisms of ERMS tumourigenesis and may enable the development of novel approaches to the clinical management of this tumour.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.000 |
| 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".