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Record W2625960167 · doi:10.1182/blood.v128.22.682.682

Long-Term Outcome of Allogeneic Hematopoietic Stem Cell Transplantation (HSCT) for Chronic Lymphocytic Leukemia (CLL): 10-Year Follow-up of the Gcllsg CLL3X Trial

2016· article· en· W2625960167 on OpenAlexaboutno aff
Isabelle Krämer, Stephan Stilgenbauer, Sascha Dietrich, Sebastian Böttcher, Matthias Ritgen, Donald Bunjes, Matthias Zeis, Michael Stadler, Joerg Thomas Bittenbring, Ute Hegenbart, Michael Hallek, Michael Kneba, Norbert Schmitz, Hartmut Döhner, Peter Dreger

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFludarabineCumulative incidenceChronic lymphocytic leukemiaInternal medicineHematopoietic stem cell transplantationTransplantationIncidence (geometry)SurgeryOncologyLeukemiaCyclophosphamideChemotherapy

Abstract

fetched live from OpenAlex

Abstract PURPOSE of this analysis was to provide 10-year follow-up of the GCLLSG CLL3X trial which aimed at evaluating reduced-intensity conditioning (RIC) HSCT in patients with poor-risk CLL. DESIGN: The CLL3X trial included 100 patients (median age 53 (27-65) years), of whom 90 patients were allografted with blood stem cells from related (40%) or unrelated donors (60%) using fludarabine-alkylator-based RIC regimens. 24% had refractory CLL at HSCT, and 37% had a TP53 deletion and/or mutation. The 6-year follow-up of the trial including the observation that genetic risk factors such as TP53 lesions and SF3B1 and NOTCH1 mutations had no prognostic impact has been previously reported (Blood 2013;119:4851). Survival and relapse information was requested for all patients who underwent HSCT within the CLL3X trial in 9 German centres (the Canadian centre was unavailable for follow-up) and were alive at the 6-year follow-up. RESULTS: Follow-up information was received for 33/44 patients (75%) alive at the 6-year follow-up. Of these, 2 patients had experienced non-relapse mortality (NRM; 1 chronic GVHD, 1 secondary cancer) and another 2 had CLL recurrence 9.3 and 9.7 years post HSCT, respectively. With a median follow-up of survivors of 9.3 (0.6-15.5) years, 10-year NRM, relapse incidence (REL) event-free survival (EFS), and overall survival (OS) of all 90 patients allografted was 26%, 57%, 32%, and 51%, respectively. Absence of minimal residual disease (MRD) at the 12-month landmark post HSCT was highly predictive for an increased relapse risk (10-year REL 25% vs 80% if MRD was present at the 12-month landmark, p <0.0001), in particular if MRD eradication occurred only after immunosuppression withdrawal, suggesting of effective graft-versus-leukemia activity (GVL; 10-year REL 12%). In the 33 patients who were event-free at the 6-year landmark, NRM, REL, EFS, and OS 4 years after the 6-year landmark was 4%, 24%, 74%, and 93% (median follow-up after 6-year landmark 4.1 (0.1-8.5) years) without any effect of TP53 lesions on relapse risk. Notably, no relapse event occurred beyond 10 years post HSCT. Only one out of 33 patients included in the 6-year landmark analysis died from CLL, 4 relapsed patients are currently responding to pathway inhibitors, and the remaining patient with CLL recurrence still does not need treatment. CONCLUSIONS: Long-term observation of patients allografted in the CLL3X trial confirms that RIC HSCT can provide GVL-mediated sustained disease control in a sizable proportion of patients with poor-risk CLL independent of the TP53 status. Patients who are in MRD-negative remission one year after HSCT have a 75% probability of remaining disease-free at least for 10 years. However, late relapses do occur but may benefit from strategies involving innovative pathway inhibitors. Disclosures Krämer: Gilead: Other: Travel grants; MSD: Honoraria. Stilgenbauer:AbbVie: Consultancy, Honoraria, Other: Travel grants, Research Funding; Hoffmann-La Roche: Consultancy, Honoraria, Other: Travel grants , Research Funding; Janssen: Consultancy, Honoraria, Other: Travel grants , Research Funding; Novartis: Consultancy, Honoraria, Other: Travel grants , Research Funding; Genzyme: Consultancy, Honoraria, Other: Travel grants , Research Funding; Pharmacyclics: Consultancy, Honoraria, Other: Travel grants , Research Funding; Boehringer Ingelheim: Consultancy, Honoraria, Other: Travel grants , Research Funding; Amgen: Consultancy, Honoraria, Other: Travel grants, Research Funding; Genentech: Consultancy, Honoraria, Other: Travel grants , Research Funding; Gilead: Consultancy, Honoraria, Other: Travel grants , Research Funding; Mundipharma: Consultancy, Honoraria, Other: Travel grants , Research Funding; GSK: Consultancy, Honoraria, Other: Travel grants , Research Funding; Celgene: Consultancy, Honoraria, Other: Travel grants , Research Funding; Sanofi: Consultancy, Honoraria, Other: Travel grants , Research Funding. Böttcher:Hoffmann-LaRoche: Honoraria, Other: Travel grants, Research Funding; Celgene: Research Funding; AbbVie: Honoraria, Research Funding. Ritgen:Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding. Hegenbart:Jansen Cilag: Honoraria, Other: financial support of conference participation. Hallek:F. Hoffmann-LaRoche: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Janssen-Cilag: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Gilead: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Mundipharma: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; AbbVie: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau. Kneba:Amgen: Research Funding; Gilead: Consultancy, Honoraria, Other: Travel grants, Research Funding; Glaxo-SmithKline: Other: Travel grants; Roche: Consultancy, Honoraria, Other: Travel grants, Research Funding; AbbVie: Consultancy, Honoraria, Other: Travel grants; Janssen-Cilag: Consultancy, Honoraria, Other: Travel grants. Dreger:Gilead: Consultancy; Novartis: Consultancy; Gilead: Speakers Bureau; Novartis: Speakers Bureau; Janssen: Consultancy; Roche: Consultancy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.293
Teacher spread0.263 · 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 teacher head, 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".

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Citations3
Published2016
Admission routes1
Has abstractyes

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