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Enregistrement W7108456604 · doi:10.1182/blood-2025-4505

Real-world comparison of treatment outcomes between BCL2i and 2nd generation BTKi therapy in first-line CLL patients

2025· article· en· W7108456604 sur OpenAlexaff

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensMD Precision (Canada)
Organismes subventionnairesnon disponible
Mots-clésChronic lymphocytic leukemiaCancerVenetoclaxProportional hazards modelProstate cancerClinical trialLeukemiaPopulation

Résumé

récupéré en direct d'OpenAlex

Abstract Background: First-line (1L) therapies for chronic lymphocytic leukemia (CLL) consist of B-cell lymphoma inhibitors (BCL2i) or Bruton tyrosine kinase inhibitors (BTKi). Current recommendations include second-generation covalent BTKi-based regimens, including acalabrutinib or zanubrutinib, or BCL2i-containing regimens, such as venetoclax with obinutuzumab (V+O). Historically, treatment effectiveness between classes is comparable, where treatment selection may be determined by certain risk factors, such as age or TP53 alterations. Real-world evidence on clinical outcomes in these data is limited, particularly among high-risk patients (pts). This work assesses the difference in time to next treatment (TTNT) among CLL pts receiving second-generation BTKi or V+O in the 1L setting, additionally stratified for risk factors such as age at treatment initiation, and genetic mutations (TP53 alterations and 17p deletion). Methods: The IntegraConnect PrecisionQ de-identified electronic health record (EHR) database, which includes data on over 2 million cancer pts across more than 500 care sites, was used to identify individuals with CLL who received second-generation BTKi or V+O as 1L therapy betweenJanuary 1, 2021 to February 28, 2025. The index date was the initiation of 1L therapy. Descriptive statistics were used to summarize demographic and clinical characteristics by treatment group. Wilcoxon rank sum tests and chi squared tests were performed to assess differences in continuous and categorical factors, respectively. A subset of patients whose data were manually abstracted from clinical documents from the E.H.R. were analyzed to assess 17p deletion or TP53 mutation status. Differences in TTNT by therapy were analyzed using Kaplan-Meier (KM) survival curves, with median estimates reported. Multivariable Cox proportional hazards regression was used to assess the impact of treatment on 1L TTNT, adjusted for age at treatment initiation, ECOG performance status, payer, and the region of the treatment facility, and hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) are reported. Among abstracted cases, KM curves and multivariable Cox models, adjusted for the same factors, were stratified by the TP53 or 17p deletion alteration status, to assess the potential influence on TTNT. Results: Overall, 3,844pts met study eligibility. The majority of pts received second-generation BTKi (n=2,903, 76%; V+O n=941, 24%). Among those who received BTKi, 2,338 (81%) were treated with BTKi monotherapy, and the remaining 565 (19%) received BTKi combination therapy, with the majority of those pts having received obinutuzumab (n = 302). Pts treated with BTKi were significantly older than those treated with V+O at index start (median age 74 vs 69, p<0.01). Additionally, there was a higher proportion of patients on Medicare/Medicaid and pts with an ECOG status of 2 or more among those treated with BTKi compared to V+O (Medicare/Medicaid 46% vs 39%, p<0.01; ECOG 2+ 11% vs 5%, p<0.01). There was a higher proportion of patients treated in the northeast region of the US among BTKi users compared to V+O (24% vs 17%, p<0.01). Median TTNT was not reached for either treatment group, but at 30 months, the event-free probability was 70% among pts that received second-generation BTKi, compared to 83% for V+O (KM logrank p<0.01). Pts that received V+O were over 40% less likely to initiate subsequent treatment than those that received BTKi (HR: 0.56, 95% CI: 0.46-0.69, p<0.01). There were 1,132 pts in the curated subset (BTKi n=858, 76%; V+O n=274, 24%). There was a significantly higher proportion of pts with a TP53 mutation or 17p deletion that received BTKi compared to V+O (18% vs 12%, p<0.05). Among those with TP53 mutation or 17p deletion, the difference in TTNT between BTKi and V+O was attenuated (HR: 1.33, 95% CI: 0.66-2.70, p=0.43). However, for those without TP53 mutations or 17p deletion, pts that received V+O were less likely to initiate next treatment at any given point in time (HR: 0.70, 95% CI: 0.50-1.00, p=0.05). Conclusions: In this real-world study analyzing CLL pts, those that received 1L V+O had significantly longer TTNT when compared to pts that received second-generation BTKi. However, this difference was not observed among a subset of pts with 17p deletions or TP53 mutations.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,014

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,010
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,062
Tête enseignante GPT0,380
Écart entre enseignants0,317 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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