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Record W2564745782 · doi:10.1182/blood.v108.11.752.752

Chronic Myeloid Leukemia Stem Cells Possess Unique Properties That Predict Intrinsic and Acquired Resistance to Imatinib Mesylate.

2006· article· en· W2564745782 on OpenAlexaff
Xiaoyan Jiang, Yun Zhao, Clayton A. Smith, Maura Gasparetto, Kyi Min Saw, Ali G. Turhan, Allen Eaves, Connie J. Eaves

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsImatinib mesylateMyeloid leukemiaTyrosine kinaseCancer researchCD38Stem cellBiologyHaematopoiesisSide populationclone (Java method)PopulationImatinibLeukemiaMyeloidCD34ChemistryCell biologyImmunologyCancer stem cellMedicineSignal transductionGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Chronic myeloid leukemia (CML) is sustained by a clonally amplified, but still rare population of BCR-ABL+ hematopoietic stem cells (HSCs). Understanding their properties is assuming increasing importance in light of recent evidence that they are innately resistant to BCR-ABL−targeted therapies and that, over time, the CML clone acquires BCR-ABL tyrosine kinase domain mutations. The relative resistance of CML HSCs (lin−CD34+CD38− cells) to imatinib mesylate (IM) may be explained at least in part by their elevated expression of BCR-ABL and higher tyrosine kinase activity than is seen in the more prevalent lin−CD34+CD38+ leukemic cells. We have now obtained formal support for this concept from experiments with a BCR-ABL−transduced BaF3 cell line in which p210BCR-ABL expression can be regulated by doxycycline (dox)-mediated activation of an upstream tet-regulated repressor. Treatment of these cells for 48 hr with 0.1–5 μM IM in the absence of IL-3 and in the presence of 0.1–1 μg dox/ml confirmed the expected dox-control of intracellular phospho-CrkL levels and demonstrated a corresponding p210BCR-ABL kinase activity-dependent effect on IM sensitivity. To investigate the possibility that CML HSCs possess other unique properties that contribute to their relative resistance to many therapies, we compared the expression of 3 transporter genes (OCT1, ABCB1 and ABCG2) in CML cells at different stages of differentiation. Interestingly, we found that transcript levels for OCT1 (which regulates IM uptake) were very low in the most primitive (lin−CD34+CD38−) normal bone marrow cells and progressively increased (>100-fold) as these cells differentiate into mature (lin+CD34−) cells (n=4). Importantly, this difference in OCT1 expression was exaggerated in CML samples where OCT1 transcripts were even lower in the most primitive populations (below the level of detection in 2 of the 4 CML HSC isolates analyzed). Conversely, transcript levels for ABCB1 and ABCG2 (which regulate the efflux of many drugs) were highest in the normal lin−CD34+CD38− (HSC) population and lowest (>6-fold) in the most mature lin+CD34− normal cells, and again this difference was enhanced in the CML samples. The combination of a very low expression of OCT1 (low IM uptake) and highly elevated expression of ABCB1 and ABCB2 (high drug efflux) and BCR-ABL (elevated kinase activity) in CML HSCs identifies multiple mechanisms that would predict their broad insensitivity to IM and other therapeutics. In addition, we have found both by direct sequencing of cloned transcripts and allele-specific RT-PCR analyses, that a significant fraction of BCR-ABL transcripts in CML HSCs from chronic phase patients who have never received BCR-ABL-targeted therapy contain readily detectable kinase domain mutations (20–33%, n=3). A high incidence of mutations was also found at 2 additional sites in the BCR-ABL gene 5′ to the kinase domain and extending into the region encoded by BCR. After primitive CML cells had been cultured for 3 weeks (± 5 μM IM), we frequently found new BCR-ABL mutants in their clonal progeny. These in vivo and in vitro findings suggest that primary CML HSCs are also characterized by a high degree of genetic instability. We have thus identified multiple unique features of chronic phase CML HSCs that underscore the importance of evaluating these critical cells when considering new therapeutic approaches.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.015
GPT teacher head0.223
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2006
Admission routes1
Has abstractyes

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