PS1123 IMPACT OF MAJOR GENOMIC ALTERATIONS ON OUTCOME OF RELAPSED/REFRACTORY CHRONIC LYMPHOCYTIC LEUKEMIA PATIENTS TREATED WITH VENETOCLAX PLUS RITUXIMAB IN THE PHASE 3 MURANO STUDY
Bibliographic record
Abstract
Background: We reported superior efficacy for venetoclax + rituximab (VenR) vs bendamustine + rituximab (BR) in relapsed/refractory (R/R) chronic lymphocytic leukemia (CLL) in the MURANO study (NCT02005471), with a significant progression‐free survival (PFS) benefit and sustained undetectable minimal residual disease (uMRD), irrespective of historical risk factors for poor response to chemoimmunotherapy, e.g., unmutated IGHV and del(17p) and/or TP53 mutation. However, the impact of other recurrent somatic mutations and of cytogenetic alterations on outcome of R/R patients (pts) treated with fixed‐duration VenR has not been examined. Aims: To interrogate clinical impact of the major somatic mutations, and of cytogenetic high‐risk features defined by array‐based analysis of genomic complexity (aGC), on outcome in pts treated with VenR and BR in MURANO. Methods: Whole exome sequencing (WES) and aGC by high‐density array‐comparative genomic hybridization were performed on baseline DNA specimens, available from 313/389 enrolled pts. Array‐based genomic complexity was defined as having ≥3 or ≥5 genetic aberrations. Kaplan–Meier estimates and Cox proportional‐hazards models were used to analyze PFS. uMRD was defined as <1 CLL cell in 10,000 leukocytes in peripheral blood (PB). Results: At least one of the 9 mutated driver genes examined here was identified in 234/313 (74.8%) pts from both arms; clonal mutations of ATM occurred in 30.7% of pts, TP53 in 25.6%, SF3B1 in 22.0%, NOTCH1 in 13.7%, BRAF in 8.3%, BIRC3 in 8.0%, and NRAS/KRAS/MYD88 in 1.6% each. Mutation frequency was equally distributed between treatment arms. Prevalence of all CLL key mutated genes will be presented. After 36.0 months’ median follow‐up, a PFS benefit was observed consistently with VenR over BR across mutated (mut) and wildtype (WT) subgroups for ATM , TP53, SF3B1, NOTCH1, ( Figure 1 ) and BIRC3. Median PFS for VenR was not reached in TP53 mut or WT pts, compared with medians of 12.2 months (mo; HR 0.11, 95% CI 0.055–0.24) and 21.6 mo (HR 0.16, 95% CI 0.098–0.25), respectively, for BR. Mutation frequency was too low for assessment in the other subgroups. Within treatment arm, inferior PFS was observed with both VenR and BR for TP53 mut pts, but only with VenR for NOTCH1 mut pts, representing a significant treatment‐dependent prognostic effect (interaction p = 0.007). Two‐year PFS with VenR was 76% for NOTCH1 mut pts vs 89% for WT. The negative impact on PFS in NOTCH1 mut VenR pts was further confirmed by multivariate analysis (MVA) with IGHV, del(17p)/ TP53 , B2 M, stage, and age as covariates (HR 0.54, 95% CI 0.22–1.30). NOTCH1 mutation was enriched in pts with disease progression (47.1%) vs those without (13.9%) in VenR but not BR (69.2% vs 70.8%, respectively). The PFS observations were consistent with PB uMRD rates; the PB uMRD rate was lower in NOTCH1 mut pts (23.5% vs 49.3% in WT pts) at the end of Ven treatment visit (∼24 mo from start of treatment). Assessments of aGC are ongoing and impact on clinical outcomes will be presented. Summary/Conclusion: We assessed the mutational landscape of R/R CLL by WES and confirmed prior mutation frequency reports. A superior PFS benefit was observed for VenR vs BR in all clinical and molecular subgroups assessed, including the key CLL driver mutations reported here. NOTCH1 mutations may define a new high‐risk pt subgroup for VenR. MVA, further validation and deep sequencing for subclones are needed, given the small size of the mutated cohort, and to address the biological basis of the findings. image
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".