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Allogeneic Stem Cell Transplantation for Blast Crisis (BC) Chronic Myelogenous Leukemia (CML) In the Tyrosine Kinase Inhibitors (TKIs) Era. Analysis of Pre-Transplant Variables on Transplant Outcome. On Behalf of the Societe Francaise De Greffe De Moelle Et De Therapie Cellulaire and the French Group of CML

2010· article· en· W2980124547 on OpenAlexaff
Franck E. Nicolini, Laurent Modolo, Nicole Raus, Nöel Milpied, Gèrard Socié, Ibrahim Yakoub‐Agha, Mohamad Mohty, Nathalie Fegueux, Hervé Tilly, Didier Blaise, Pierre Bordigoni, Karin Bilger, Catherine Cordonnier, Jean‐Hugues Dalle, Thierry de Revel, Eric Deconninck, Bernard Rio, Anne Sîrvent, Norbert Ifrah, Gaëlle Guillerm, Valérie Mialou, Agnès Buzyn, Anne Huynh, Jacques‐Olivier Bay, Stéphane Morisset, Mauricette Michallet

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsDasatinibMedicineImatinibTransplantationInternal medicineImatinib mesylateChronic myelogenous leukemiaChemotherapySurgeryChemotherapy regimenHematopoietic stem cell transplantationOncologyGastroenterologyMyeloid leukemiaLeukemia

Abstract

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Abstract Abstract 2266 We conducted a national retrospective analysis on 63 patients (pts) with either myeloid or lymphoid BC CML who underwent a first allogeneic stem cell transplantation as consolidation therapy for BC, since 2000 in France and look at whether 1st and 2nd generation TKIs ±chemotherapy prior to transplant may impact on outcome. There were 46 males and 17 females, and the median age at transplant was 34 (range 3–63) years and the median delay between BC and transplant was 19.6 (2.3-113) months. Thirty six (57%) pts were in chronic phase (CP), 3 (5%) in accelerated and 24 (38%) in BC at CML diagnosis. Twenty three pts received 1 line of treatment, 26 pts 2 lines, and 14 pts 3 or more lines for CML treatment before BC. For BC treatment, 25/63 (39%) pts had chemotherapy without TKI and 29/63 (46%) had TKIs combined or not to chemotherapy (6 chemo+dasatinib, 4 chemo+imatinib, 8 dasatinib alone, 1 dasatinib and imatinib, 9 imatinib, 9 unknown). At transplant 35/63 (55%) were considered in 2nd CP and 28 (45%) still in BC. The majority of the pts had an identical sibling donor (42/63: 66%), 1 mismatched related, 7 matched unrelated, and 13 mismatched unrelated. Fifty-six (89%) pts had a standard conditioning regimen, 7 (11%) pts a RIC regimen and 39 (62%) had a TBI. The stem cell source was bone marrow in 33/63 (52%) pts, PBSC in 24/63 (38%) and cord blood for 6/63 (10%). Fourteen transplants were sex-mismatched (female donor for male recipient). The EBMT-Gratwohl score was low (1+2+3) for 35/63 (55%) pts, intermediate (4) for 14 pts and high (5) for 9 pts, (and 6) for 3 pts and undetermined for 2 pts. The median follow-up since transplant was 25 (range 0.43–109) months. The overall median time for neutrophil recovery (neutrophils > 0.5 109/l) was 20 days. Fourty-one (65%) pts had an aGVHD (29 grade i-II and 12 grade III-IV) with no statistical differences between stem cell sources (p=0.4 for cord vs BM and 0.58 for PBSC vs BM). The cumulative incidence of chronic GVHD (14 extensive, 10 limited) was 43% at latest follow-up, more frequent in RIC transplant. The cumulative incidence of CML relapse was 38% at 2 yrs and multivariate analysis demonstrated the significant impact on relapse of the status at transplant in favour of disease control prior to transplant [HR 2.22 (1-4.93, p=0.05] and unexpectedly, no impact of BC treatment with or without TKIs prior to transplant and of other variables. The median overall survival (OS) was 22 months (see Figure 1). The TRM was 33% at latest follow-up, and it was significantly negatively influenced by the EBMT score (p=0.0077 for scores ≥ 4), BC status at diagnosis (p=0.04). The OS was not improved when using standard conditioning regimens (p=ns), but was improved by disease status at transplant (2nd CP better than persistent BC, p=0.01) and transplant with cord blood and BM stem cell sources over PBSC (p=0.011). Multivariate analysis on OS detected as significant adverse prognosis factors EBMT score ≥5 (HR=4.63 EBMT 5, and 4.77 EBMT 6). The types of treatment of BC CML had no significant impact (with or without stratification on chemotherapy). The median progression-free survival (PFS) was 5.8 months (see Figure 2). The PFS was not significantly improved by standard conditioning regimens but again was improved by disease control prior to transplant (2nd CP better than persistent BC, p=0.001) and with cord blood and BM stem cell sources over PBSC (p=0.057). Multivariate analysis on PFS detected as significant adverse prognosis factors EBMT score ≥5 (HR=5.82 EBMT 5, and 3.82 EBMT 6), but again, the types of treatment of BC CML prior to transplant had no significant impact. In conclusion, this analysis suggests that OS and PFS rates are significantly improved when compared to figures from the pre-TKI era. The use of 1st or 2nd generation TKIs alone or combined to chemotherapy does not seem to influence transplant results. CML status and the EBMT score are the major factors that can significantly influence transplant outcome. 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)0.001
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.239
Teacher spread0.231 · 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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Citations9
Published2010
Admission routes1
Has abstractyes

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