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Record W2988244627 · doi:10.1182/blood-2019-131599

Comprehensive Analysis of Hematological Parameter Changes after TKI Discontinuation for Treatment-Free Remission Attempt

2019· article· en· W2988244627 on OpenAlexaffabout
Georgina S. Daher-Reyes, Isabelle Bence‐Bruckler, Lambert Busque, Donna L. Forrest, Lynn Savoie, Mary‐Margaret Keating, Robert Delage, Anargyros Xenocostas, Elena Liew, Pierre Laneuville, Kristjan Paulson, Jeffrey H. Lipton, Suzanne Kamel‐Reid, Brian Leber, Dennis Dong Hwan Kim

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsMcMaster UniversityMcGill University Health CentreLondon Health Sciences CentreJuravinski Cancer CentreHôpital de l'Enfant-JésusDalhousie UniversityPrincess Margaret Cancer CentreVancouver General HospitalUniversity of CalgaryBC Cancer AgencyAlberta Health ServicesAlberta Hospital EdmontonUniversity of British ColumbiaUniversité de MontréalHôpital Maisonneuve-RosemontCancerCare ManitobaUniversity of Alberta HospitalUniversity Health NetworkOttawa HospitalWestern UniversityUniversity of Toronto
Fundersnot available
KeywordsDiscontinuationMedicineLeukopeniaAdverse effectInternal medicineDasatinibGastroenterologyImatinibImmunologyChemotherapy

Abstract

fetched live from OpenAlex

Introduction: Tyrosine kinase inhibitor (TKI) therapy can result in the adverse events of prolonged anemia, thrombocytopenia and/or leukopenia via c-kit blockade in hematopoietic stem cells. Previous studies have reported that even low-grade adverse events could impair a patient's health-related quality of life. One of the benefits of TKI discontinuation is to allow patients to live drug-free, thereby preventing drug-related adverse events including cytopenias. The Canadian tyrosine kinase inhibitor (TKI) discontinuation trial has reported 59.1% and 21.5% molecular relapse-free survival (mRFS) rates after first and second attempts at treatment free remission (TFR) with imatinib (IM) or Dasatinib (DA) discontinuation, respectively. In the present study, we attempted to analyze the impact of TKI discontinuation on changes in hematological parameters, and its impact on TFR success after TKI discontinuation. Methods and materials: Throughout the trial, we have collected the hematoloigc parameters at 22 timepoints in 131 patients. These included Hb level, WBC count with differentials, and platelet count during IM discontinuation (7 times), DA rechallenge (10 times), and DA discontinuation (5 times). Results: With IM discontinuation, most of the hematological parameters showed a significant improvement within 3 months: Hb level rise by +10.47g/L (+8.86%; p=1.67x10-22), WBC count rise by +1.43x109/L (+30.08%; p=2.03x10-16), neutrophil rise by +0.99x109/L (36.76%; p=4.48x10-11), lymphocyte rise by +0.24x109/L (+20.64%; p=6.72x10-9), monocyte rise by +0.13x109/L (+35.9 0%; p=3.33x10-14), platelet count rise by +22.65 x109/L (+12.76%; p=1.03x10-7). Eosinophil counts were not significantly changed (p=0.475). With DA rechallenge, mixed changes were observed in hematologic parameters within 1 month: Hb level significant dropped by 11.57g/L (-8.26%; p=6.38x10-14) and platelet counts also showed a decreasing trend (-9.39x109/L or -4.57%; p=0.07), while significant increases were noted in lymphocyte (+0.41x109/L or +22.22%; p=0.00027), and monocyte counts (+0.14x109/L or +14.29%; p=0.001). No significant changes were noted in WBC counts (+0.32x109/L or +1.64%; p=0.234), neutrophil counts (-0.18x109/L or -10.42%; p=0.285), or eosinophil counts (+0.03 x109/L or 0%; p=0.185). With DA discontinuation, the Hb level rebounded by +7.08g/L within 3 months (+9.45%; p=0.0003). However, there was no significant change in the other parameters 3 months after DA discontinuation, including WBC (p=0.841), neutrophil (p=0.309), lymphocyte (p=0.995), monocyte (p=0.451), eosinophil (p=0.826) and platelet counts (p=0.533). When the changes in hematologic parameters were analyzed in correlation with mRFS, there was no association of those parameter changes with RFS after DA discontinuation. However, associations of mRFS following IM discontinuation were noted as follows: higher mRFS after IM discontinuation was observed in the group with a smaller change in Hb level (≤+1.17%, p=0.004), lymphocyte count (≤+1.06%; p=0.006), and monocyte count (≤+1.43%; 0.005) compared to those with a larger change. In other words, the group showing a rebounded Hb level after IM discontinuation showed a lower mRFS rate compared to those in whom the Hb did not rebound. A lower mRFS was noted in the group with a smaller change in neutrophil count (≤+1.07%) compared to those with a larger change (p=0.008), implying that the group with rebounded neutrophil count showed a higher mRFS compared to those not. Multivariate analysis confirmed: 1) IM treatment duration longer than 8.75 years is associated with a decrease in loss of molecular response by 13% per year (p=0.001, HR 0.871), 2) Hb level rebound above 22gm/L showed 2.8 times higher risk of molecular relapse (p=0.021, HR 2.801), 3) rebound rise of neutrophil count by 1.075% or above reduced the risk of molecular relapse by 52% (p=0.06, HR 0.485). Conclusion: Further research is warranted to explore the functional role of the hematopoietic stem cell fraction following prolonged TKI therapy in CML patients. Hematopoiesis in Ph-negative cell population could contribute to TFR after TKI discontinuation. Figure Disclosures Busque: ExCellThera: Patents & Royalties; BMS: Consultancy; Novartis: Consultancy; Pfizer: Consultancy; Paladin: Consultancy. Savoie:BMS: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Pfizer: Consultancy. Keating:Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria; Seattle Genetics: Consultancy; Janssen: Membership on an entity's Board of Directors or advisory committees; Shire: Membership on an entity's Board of Directors or advisory committees; Hoffman La Roche: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees. Delage:Celgene: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Liew:Novartis: Consultancy, Honoraria. Leber:Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees; Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.294
Teacher spread0.265 · 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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Citations2
Published2019
Admission routes2
Has abstractyes

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