Nuclear remodeling of telomeres in chronic myeloid leukemia
Bibliographic record
Abstract
Chronic myeloid leukemia (CML) is a hematologic cancer characterized by the proliferation of myeloid cells and the translocation between chromosomes 9 and 22, [t(9;22)(q34.1;q11.2)]. At the chronic phase (CP), CML cells present longer telomeres than at the other clinical phases, display arm-specific maintenance of individual telomere lengths, and are chromosomally stable. We asked whether an alteration of nuclear organization of telomeres, which is associated with genomic instability, occurs in CML cells at the CP. We used fluorescent in situ hybridization of telomeres combined with three-dimensional (3D) quantification to study the nuclear telomeric architecture of CML cells at the CP. We found that cells can exhibit high telomere numbers, different telomere distributions, and alterations in peripheral or central nuclear location of telomeres. Also, we show that CML cells can be categorized in two groups according to the number of their telomere aggregates (TAs). We propose that the presence of high TAs in some samples is associated with the increased genomic instability and could be an indication of the clinical transitional phase. Also, alterations of nuclear organization of telomeres at the CP confirm that nuclear remodeling of telomeres can occur at an early clinical stage of a cancer.
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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 | 0.000 | 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) | 0.001 | 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".