Detection of MYC gene rearrangements by conventional cytogenetics and fluorescent in situ hybridization in patients with acute lymphoblastic leukemia cases
Bibliographic record
Abstract
Objective: The aim of this study is to investigate rearrangements at the region of MYC gene by conventional cytogenetics and interphase FISH methods in patients with acute lymphoblastic leukemia (ALL). Methods: The study was carried out on bone marrow specimens of 25 ALL patients who were referred to our laboratory. Fourteen children and 11 adult ALL cases were examined. Conventional cytogenetic analysis was performed using G banding technique and fluorescence in situ hybridization technique was applied using MYC breakapart probe (Cytocell). Results: Totally, in 2 of 25 cases available metaphases were not obtained. While in 9 of 23 cases were found to have normal karyotype (39.1%), numerical chromosomal abnormalities were detected in 6 cases, structural abnormalities in 4 and both numerical and structural abnormalities were found in 4 cases. In one case (4%) t(8;14)(q24;q32) was found as a cytogenetic aberration in which MYC gene locus involved. FISH analysis was performed successfully in all cases and MYC rearrangements were found in 3 cases (12%) by FISH method. Conclusion: By comparing two techniques, it was observed that FISH method showed more sensitivity, however conventional cytogenetic techniques were also effective to reveal all changes of the chromosomes. Therefore, we concluded that it would be more efficient to use of these two techniques together.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".