Integrative cytogenetic and molecular studies unmask “chromosomal mimicry” in hematologic malignancies
Bibliographic record
Abstract
ABSTRACT: The detection of structural variants (SVs) represents a critical component in the diagnostic evaluation and treatment of many hematologic malignancies. Although clinical SV testing mainly consists of traditional cytogenetic methodologies, technological innovations have led to alternative approaches with improved resolution. In this study, we sought to characterize the clinical impact of targeted RNA sequencing on the diagnosis of myeloid and immature lymphoid malignancies. Across a cohort (n = 380) of myeloid (87%) and immature lymphoid (13%) tumors, we compared SVs detected by chromosome banding analysis (CBA) and fusion events detected by anchored multiplex polymerase chain reaction (AMP)-targeted RNA sequencing. Variants detected by either assay were categorized using a 5-tier system: tier 1 (established clinical significance); tier 2 (possible clinical significance); tier 3 (unknown significance); tier 4 (known germ line variants), and tier 5 (no variants detected). The combined use of AMP and CBA improved the detection of clinically relevant (tier 1 or 2) findings in 10% of cases. Unexpectedly, in 1% (3/380) of the patients in our study, CBA appeared to detect a defining SV, for example, t(9;22)(q34;q11.2), that was not confirmed by AMP fusion studies. Subsequent evaluation by orthogonal approaches confirmed breakpoints on the expected chromosomes but did not involve the anticipated genes. Our study indicates that "chromosomal mimicry," a phenomenon in which chromosome morphology resembles a known SV but lacks the expected gene-level rearrangement, is an infrequent but recurrent finding with the potential to confound clinical management. Our study highlights the need for assays with gene-level resolution in the diagnostic evaluation of hematologic malignancies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".