Isodicentric Philadelphia Chromosome: A Rare Chromosomal Aberration in Imatinib-Resistant Chronic Myelogenous Leukemia Patients - Case Report with Review of the Literature
Bibliographic record
Abstract
The BCR-ABL1 fusion gene derived from the Philadelphia chromosome, resulting from a classical translocation event t(9;22)(q34.13;q11.23), is responsible for the pathogenesis of chronic myeloid leukemia (CML) in more than 90% of the patients. The isoderivative chromosome 22, ider(22), and relative amplification or duplication of the BCR-ABL1 gene have been considered as one of the major reasons associated with the resistance to chemotherapy with imatinib mesylate, but the data remain unclear. GTG-banding together with FISH were performed to identify the presence of the ider(22) chromosome. Reverse transcription-polymerase chain reaction (RT-PCR) for the detection of BCR-ABL1 fusion transcripts and BCR-ABL1 kinase domain mutation analysis were carried out in this study. Conventional and molecular cytogenetic analysis on metaphase chromosomes confirmed the presence of ider(22) chromosomes in both patients. Molecular characterization revealed the presence of a 210-kDa BCR-ABL1 type b3a2 and lack of mutations at the kinase domain region on the fusion product in both patients. The occurrence of the ider(22) chromosome could be considered as an important marker correlated with the aggressive progression of CML as well as the emergence of drug-resistant cell clones.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".