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Record W4417014766 · doi:10.1182/blood-2025-3898

Impact of prognostic mutations on outcomes with fixed-duration acalabrutinib-venetoclax combinations versus chemoimmunotherapy: An exploratory analysis from AMPLIFY

2025· article· en· W4417014766 on OpenAlexaff
Paolo Ghia, Barbara Eichhorst, Tomasz Wróbel, İnci Alacacıoğlu, Ana Rita Da Fonseca, Dennis Carney, Guillaume Cartron, Alina S. Gerrie, Don A. Stevens, Marianne de Borja, Toshifumi Fujimori, Ellie John, L. Alex Liggett, Gary De Jesus, Veerendra Munugalavadla, Jennifer Brown

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsSpinal Cord Injury BCUniversity of British ColumbiaAmorfix (Canada)University of British Columbia Hospital
Fundersnot available
KeywordsChemoimmunotherapyObinutuzumabFludarabineIGHV@BendamustineRituximabChronic lymphocytic leukemiaExploratory analysisCyclophosphamide

Abstract

fetched live from OpenAlex

Abstract Introduction: The AMPLIFY trial evaluated fixed-duration acalabrutinib + venetoclax ± obinutuzumab (AV/AVO) vs chemoimmunotherapy (CIT) in fit patients (pts) with treatment-naive (TN) chronic lymphocytic leukemia (CLL) (Brown et al. NEJM 2025;392:748-62). In the ITT population, AV/AVO demonstrated prolonged progression-free survival (PFS) vs CIT. However, shorter PFS occurs with certain genetic factors, such as unmutated IGHV (uIGHV) and NOTCH1, even with targeted treatment (tx) (Tausch et al. Blood 2022;140(Suppl 1):839-41). This exploratory analysis evaluated the relationship between prognostic genetic aberrations and clinical outcomes in AMPLIFY. Methods AMPLIFY (ACE-CL-311; NCT03836261) is an ongoing, randomized, open-label, phase 3 trial in pts with TN CLL aged ≥18 y with ECOG performance status ≤2 and without del(17p) or TP53 mutation. Pts were randomized to receive AV (acalabrutinib, cycles [C] 1–14; venetoclax, C3–14), AVO (AV as described; obinutuzumab, C2−7), or investigator's choice of fludarabine + cyclophosphamide + rituximab or bendamustine + rituximab (FCR/BR, C1−6). Subgroup analyses were performed for blinded independent central review–assessed PFS and time to next tx (TTNT) according to baseline and disease characteristics for AV and AVO vs FCR/BR. Blood samples collected at baseline were analyzed centrally for genetic factors, including uIGHV and 6 mutations (ATM, CARD11, NOTCH1, BIRC3, MYD88, SF3B1) by next-generation sequencing. PFS and TTNT (AV and AVO vs FCR/BR) were calculated using an unstratified Cox proportional-hazards model. Results In total,867 pts were randomized (AV=291; AVO=286; FCR/BR=290); 57% (AV), 59% (AVO), and 59% (FCR/BR) had uIGHV; median follow-up was 40.8 mo. Mutation analysis demonstrated comparable prevalence of mutations across arms, most commonly ATM (24% AV, 24% AVO, 20% FCR/BR), NOTCH1 (14% AV, 16% AVO, 17% FCR/BR), and SF3B1 (15% AV, 16% AVO, 16% FCR/BR). Across arms, most ATM, SF3B1, and NOTCH1 mutations occurred in pts with uIGHV (AV: 71%, 78%, and 76%, respectively; AVO: 74%, 70%, 91%; FCR/BR: 73%, 80%, 86%), with significantly higher frequencies in pts with uIGHV vs mutated IGHV (mIGHV; P<0.01). Among pts with ≥1 mutation (AV=145; AVO=150; FCR/BR=137), co-mutation rates in the AV, AVO, and FCR/BR arms were ATM/NOTCH1 (6.2%, 10.0%, 10.2%), ATM/SF3B1 (12.4%, 10.0%, 10.9%), and NOTCH1/SF3B1 (5.5%, 4.7%, 8.8%), respectively. The 36-mo PFS (ITT) was 76.5% (AV), 83.1% (AVO), and 66.5% (FCR/BR). PFS improvement was observed with AV vs FCR/BR in pts with uIGHV (hazard ratio [HR] 0.69; 95% CI 0.48–0.97) and mutated ATM (0.50; 0.25–1.0), NOTCH1 (0.72; 0.36–1.42), and SF3B1 (0.22; 0.09–0.55), and with AVO vs FCR/BR (uIGHV: 0.35, 0.23–0.53; ATM: 0.41, 0.19–0.86; NOTCH1: 0.26, 0.10–0.65; SF3B1: 0.34, 0.15–0.77). Among pts with/without ATM, 36-mo PFS was 76%/74% (AV), 82%/84% (AVO), and 58%/68% (FCR/BR). Among pts with/without NOTCH1, 36-mo PFS was 57%/79% (AV), 86%/83% (AVO), and 50%/69% (FCR/BR). A 36-mo PFS rate difference in AV with/without NOTCH1 was seen in the uIGHV subgroup (49%/73%; HR 0.46; 95% CI 0.24–0.87) but not in the mIGHV subgroup (80%/85%; 0.77; 0.18–3.37); however, sample size was limited in this subgroup. For those with/without SF3B1, 36-mo PFS was 85%/74% (AV), 79%/85% (AVO), and 51%/69% (FCR/BR). The 36-mo TTNT (ITT) was 88.5% (AV), 85.4% (AVO), and 75.2% (FCR/BR). TTNT improvement for AV and AVO vs FCR/BR was observed for pts with uIGHV (HR 0.50 [95% CI 0.33–0.74] and 0.35 [0.22–0.54], respectively) and mutated ATM (0.32 [0.14–0.75] and 0.53 [0.25–1.14]), NOTCH1 (0.56 [0.24–1.29] and 0.42 [0.17–1.05]), and SF3B1 (0.24 [0.08–0.74] and 0.43 [0.17–1.09]). For those with/without ATM, 36-mo TTNT was 89%/88% (AV), 82%/88% (AVO), and 69%/77% (FCR/BR). For those with/without NOTCH1, 36-mo TTNT was 77%/90% (AV), 84%/86% (AVO), and 64%/78% (FCR/BR); for those with/without SF3B1, 36-mo TTNT was 91%/87% (AV), 85%/86% (AVO), and 68%/77% (FCR/BR). Conclusion This analysis from AMPLIFY demonstrates an association between presence of mutations and uIGHV status. Similar benefits in PFS and TTNT with AV and AVO vs FCR/BR were observed across these mutations. In the AVO arm, ATM, SF3B1, and NOTCH1 mutations were not associated with poorer outcomes. In the AV arm, pts with uIGHV without a NOTCH1 mutation had better outcomes vs patients with uIGHV with a co-occurring NOTCH1 mutation. The predictive values of these mutations will be explored via multivariate analysis.

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 score0.077
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.355
Teacher spread0.328 · 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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Published2025
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