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Record W2555386364 · doi:10.1182/blood.v110.11.324.324

Properties of CD34+ CML Cells That Predict Clinical Response to Tyrosine Kinase Inhibitors.

2007· article· en· W2555386364 on OpenAlexaff
Xiaoyan Jiang, Donna L. Forrest, Franck E. Nicolini, Karen Lambie, Kyi Min Saw, Emily M. Pang, Ranko Vukovic, Clayton A. Smith, Allen Eaves, Connie J. Eaves

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsCD38Tyrosine kinaseCancer researchMyeloid leukemiaImatinibCD34Stem cellProgenitor cellHaematopoiesisBiologyTyrosine-kinase inhibitorImatinib mesylateABLSignal transductionCell biologyGeneticsCancer

Abstract

fetched live from OpenAlex

Abstract Imatinib (IM) treatment causes remission in a majority of patients with chronic myeloid leukemia (CML) but relapses remain a problem. The frequent presence in relapsing cells of BCR-ABL kinase domain mutations suggests that their prior but undetected acquisition by rare CML stem cells may be a major contributor to IM treatment failures. We have recently demonstrated that enriched populations of CML stem cells (lin−CD34+CD38− cells) are relatively insensitive to IM and possess multiple unique features that would be expected to promote both innate and acquired mechanisms of resistance to BCR-ABL-targeted therapeutics. These include elevated BCR-ABL expression and tyrosine kinase activity, increased expression of ABCB1/MDR1 and ABCG2, decreased expression of OCT1, and a high degree of genetic instability, as demonstrated by a rapid accumulation of BCR-ABL mutations in vitro. To determine whether these parameters may be predictive of clinical responses to IM, immunomagnetically selected CD34+ stem/progenitor cells from 18 chronic phase CML patients’ samples obtained prior to IM therapy were evaluated and the results compared with subsequent clinical responses. Direct sequencing of transcripts cloned from extracts of freshly isolated CD34+ cells (10 clones/sample) detected a high frequency of pre-existing BCR-ABL kinase mutations in the CD34+ cells from 12 of 12 patients regardless of their subsequent IM responses (20–80%). Interestingly, a higher incidence of BCR-ABL kinase domain mutations was found in 5 IM-nonresponders (33–80% of transcripts showed ≥1 BCR-ABL kinase domain mutation) as compared to 5 IM-responders (values of 20-30%, P<0.02). A higher frequency of BCR-ABL kinase domain mutations was also detected in extracts of colonies generated from assays of cells harvested from 3-week suspension cultures initiated with the same starting CD34+ CML cells (21–68% vs 10–43%). A high incidence of BCR-ABL kinase domain mutations was also documented in freshly isolated or cultured CD34+ cells from 2 patients who developed sudden blast crisis (50–63% and 17–83%). Overall, 38 different mutations were identified from freshly isolated CD34+ CML cells and >50 additional mutations were identified in the progeny of CD34+ CML cells cultured ± IM. These included 15 point mutations frequently associated with clinical IM resistance (including G250, Q252, E255, T315, M351, F359 and H396) and >40 mutations not previously described. Furthermore, freshly isolated CD34+ cells from IM-nonresponders (including the 2 patients who developed blast crisis, n=10) showed a greater resistance to IM in vitro (∼2 fold, P< 0.001 with 5 μM and P<0.02 with 10 μM IM) as compared to CD34+ cells from IM-responders (n=8) in the presence of 5 and 10 μM IM, as determined by colony-forming cell (CFC) assays. Although more IM-resistant CFCs were obtained in the presence of IM from 3-week cultures initiated with CD34+ cells from the same IM-nonresponders than from IM responders, these latter differences were not significantly different (P= 0.28). These results suggest that the CD34+ leukemic cells from individual chronic phase CML patients harbor differences in their biologic properties that are predictive of how they will respond to IM therapy and that assessment of these differences may form the basis of rapid, practical and quantitative tests to assist in optimized patient management.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.037
GPT teacher head0.299
Teacher spread0.262 · 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 designObservational
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

Citations0
Published2007
Admission routes1
Has abstractyes

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