Instability of BCR-ABL Gene in Primary and Cultured Chronic Myeloid Leukemia Stem Cells
Bibliographic record
Abstract
BACKGROUND: Imatinib mesylate treatment causes remissions in a majority of patients with chronic myeloid leukemia (CML), but relapses are an increasing problem. We hypothesized that imatinib-resistant leukemic cells emerge from CML stem cells that acquire BCR-ABL gene mutations even before exposure to BCR-ABL-targeted agents such as imatinib. METHODS: Lineage-negative (i.e., immature) CD34+ CD38- CML stem cell-enriched populations were isolated from five patients with chronic phase CML samples by fluorescence-activated cell sorting. To identify BCR-ABL gene mutations, complementary DNAs (cDNAs) prepared from purified CML stem cells were subjected to allele-specific amplification using primers corresponding to 16 kinase domain mutations, with normal bone marrow cells serving as negative controls. We also cloned and directly sequenced BCR-ABL cDNAs prepared from freshly isolated CML stem cells and from their progeny generated after 3-5 weeks of culture. RESULTS: In 20%-33% of cDNA preparations from freshly isolated CML stem cell-enriched populations, both allele-specific amplification and direct sequencing methods revealed mutations in sequences corresponding to the BCR-ABL kinase domain. Mutations were not observed in cDNA sequences encoding the c-ABL kinase domain that were obtained from similar types of primitive normal cells. More than 70 different BCR-ABL mutations (including frameshift mutations and premature stop codons) were identified in the progeny of cultured CML stem cells. Analysis of individual clones derived from the cultured cells demonstrated that new BCR-ABL mutations were produced. CONCLUSIONS: Primary CML stem cells display instability of the BCR-ABL fusion gene both in vivo and in vitro. Thus, patients may possess leukemic stem cells with BCR-ABL kinase mutations before initiation of BCR-ABL-targeted therapies and would likely be predisposed to develop resistance to these agents.
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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 | 0.001 | 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) | 0.000 | 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".