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Disruption of the Peripheral Lymphoid Niche Contributes to Lymphopenia in CML Patients Undergoing Imatinib Treatments

2015· article· en· W2591685873 on OpenAlexaff
Stéphanie Thiant, Moutuaata M. Moutuou, Philippe Laflamme, Radia Sidi Boumédine, Fanny Larochelle, Dominique Leboeuf, Denis‐Claude Roy, Martin Guimond

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsImatinib mesylateImatinibMedicineImmunologyMyeloidMyeloid leukemiaChronic myelogenous leukemiaBone marrowCD34CD8HaematopoiesisProgenitor cellTyrosine-kinase inhibitorStem cellInternal medicineCancer researchLeukemiaImmune systemBiologyCancer

Abstract

fetched live from OpenAlex

Abstract PURPOSE: Chronic myelogenous leukemia (CML) is a disorder affecting early hematopoietic stem cells (HSC) and is characterized by excessive proliferation and accumulation of myeloid progenitors and progeny in the periphery. During the chronic phase of the disease, CML patients are normally at low risk of developing infections but such complications tend to rise during the progression of the disease. Gleevec (imatinib mesylate) is currently administered as first line therapy for patients with Philadelphia chromosome-positive CML. Despite the relative high specificity of tyrosine kinase inhibitor (TKI) treatment towards the BCR-ABL fusion protein, off-target multikinase inhibitory effects occur and can interfere with normal hematopoiesis. This study was conducted to evaluate how myeloid and lymphoid immune homeostasis are affected by Imatinib mesylate. METHODS: Healthy volunteer donors (n=25) and CML patients were recruited during their first visit at our CML clinic. Seven CML patients were treated with Imatinib (400mg). The median time of Gleevec treatment was 2.9 years (range: 0.5-10.9). The median time of remission post TKI was 1.1 years (range: 0.3-3). Phenotypic analysis of dendritic cell (DCs) subsets: plasmacytoid (pDCs) and myeloid type 1, 2 and 3 (mDC1, mDC2, mDC3) were evaluated by flow cytometry. Percentage and absolute numbers of naive and memory CD4+ and CD8+ T cells, NK cells and B cells were also evaluated. DCs were differentiated from purified CD34+ cells culturedwith GM-CSF (800 U/ml) or Flt3-L (50ng/ml), IL-4 (10 U/ml) and TNFa (50 U/ml), in the presence of varying concentrations of Imatinib mesylate (0 to 5µM/mL). TCR and IL-7 signaling were evaluated based on ERK-phosphorylation (-p) and STAT5-p after incubation with 3µM of Imatinib. RESULTS AND CONCLUSION: At diagnosis, several CML patients have a deficit in DCs resulting from a severe skewing affecting BM progenitor cells. After initiating Gleevec therapy, normalization of stem cell progenitors occurs but DC counts remain well below normal levels in all CML patients. We demonstrated a direct and dose dependent interference of Imatinib on GM-CSF and Flt3-L pathways for DC differentiation from CD34+ stem cells. For T lymphocytes, Imatinib interfered with TCR and IL-7 signaling through the inhibition of ERK and STAT5 phosphorylation respectively. The failure to maintain adequate numbers of DCs combined to diminished homeostatic response to cytokines and TCR stimuli explains T cell lymphopenia in these patients. Such immune dysfunction is at least in part responsible for infectious complications that are often increased in patients treated with Imatinib. Disclosures No relevant conflicts of interest to declare.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

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)0.0020.000

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 head0.017
GPT teacher head0.266
Teacher spread0.249 · 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".

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Citations0
Published2015
Admission routes1
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