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S149 FIXED‐DURATION VENETOCLAX PLUS OBINUTUZUMAB IMPROVES PROGRESSION‐FREE SURVIVAL AND MINIMAL RESIDUAL DISEASE NEGATIVITY IN PATIENTS WITH PREVIOUSLY UNTREATED CLL AND COMORBIDITIES

2019· article· en· W2951608335 on OpenAlexaff
Kirsten Fischer, Othman Al‐Sawaf, Jasmin Bahlo, Anna‐Maria Fink, Maneesh Tandon, Mark Dixon, Sandra Robrecht, Simon Warburton, K. Humphrey, Olga Samoylova, Anna Marina Liberati, Javier Pinilla‐Ibarz, Stephen Opat, Liliya Sivcheva, Katell Le Dû, Laura Fogliatto, Carsten Utoft Niemann, Robert Weinkove, Sue Robinson, Thomas J. Kipps, Sebastian Böettcher, Eugen Tausch, William Schary, Barbara Eichhorst, C.‐M. Wendtner, Anton W. Langerak, K.‐A. Kreuzer, Valentin Goede, Stephan Stilgenbauer, Mehrdad Mobasher, Matthias Ritgen, Michael Hallek

Bibliographic record

VenueHemaSphere · 2019
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsQueen Elizabeth II Health Sciences Centre
Fundersnot available
KeywordsMedicineInternal medicineMinimal residual diseaseGastroenterologyVenetoclaxHazard ratioClinical endpointObinutuzumabPopulationSurrogate endpointProgression-free survivalOncologySurgeryConfidence intervalRandomized controlled trialChronic lymphocytic leukemiaBone marrowLeukemiaChemotherapy

Abstract

fetched live from OpenAlex

Background: The multinational, open‐label, phase 3 CLL14 trial (NCT02242942) compared fixed‐duration targeted venetoclax plus obinutuzumab (VenG) treatment with chlorambucil‐obinutuzumab (ClbG) treatment in previously untreated patients (pts) with chronic lymphocytic leukemia (CLL) and comorbidities. Aims: We present endpoint analyses with particular emphasis on progression‐free survival (PFS) and minimal residual disease (MRD)‐negativity. Methods: Pts with a CIRS score >6 and/or an estimated creatinine clearance <70 mL/min were randomized 1:1 to receive equal duration treatment with 12 cycles of standard Clb or Ven 400 mg daily in combination with G for the first 6 cycles. The primary endpoint was PFS. MRD‐negativity in peripheral blood (PB) or bone marrow (BM) 3 months after treatment completion was a key secondary endpoint. MRD was analyzed serially from Cycle 4 every 3 months by an allele‐specific oligonucleotide polymerase chain reaction assay (ASO‐PCR; cut‐off, 10 −4 ) and by next generation sequencing (NGS; cut‐offs, 10 −4 , 10 −5 , 10 −6 ). Results: In total, 432 pts were enrolled; 216 in each treatment group (intent‐to‐treat population). Median age, total CIRS score, and CrCl at baseline were 72 years, 8, and 66.4 ml/min respectively. After 29 months median follow‐up, superior PFS was observed with VenG vs ClbG (Figure 1a). Median PFS was not reached in either group: at Month 24, PFS rates were 88% with VenG and 64% with ClbG (hazard ratio [HR] 0.35; 95% confidence interval [CI] 0.23–0.53; P < 0.0001). MRD‐negativity by ASO‐PCR was significantly higher with VenG vs ClbG in both PB (76% vs 35% [P < 0.0001]) and BM (57% vs 17% [P < 0.0001]) 3 months after treatment completion. Overall, 75% of VenG MRD‐negative pts in PB were also MRD‐negative in BM vs 49% in the ClbG group. Landmark analysis for this timepoint by PB MRD status showed that MRD‐negativity was associated with longer PFS. MRD‐negativity rates were more sustainable with VenG: 81% (VenG) vs 27% (ClbG) of pts were MRD‐negative 12 months after treatment completion; HR for MRD conversion 0.19; 95% CI 0.12–0.30 (median time off‐treatment: 19 months) (Figure 1b). MRD‐negativity rates by NGS confirmed these results; 78% (VenG) vs 34% (ClbG) of pts had MRD‐negative status at <10 −4 , 35% vs 15% at ≥10 −6 –<10 −5 and 31% vs 4% at <10 −6 , respectively. Summary/Conclusion: Fixed‐duration VenG induced deep, high (<10 −4 in 3/4 of pts and <10 −6 in 1/3 of pts), and long lasting MRD‐negativity rates (with a low rate of conversion to MRD‐positive status 1 year after treatment) in previously untreated pts with CLL and comorbidities, translating into improved PFS. image

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.009
GPT teacher head0.254
Teacher spread0.244 · 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 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
Published2019
Admission routes1
Has abstractyes

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