Oral Fludarabine and Intravenous Rituximab (FR) for Chronic Lymphocytic Leukemia (CLL): Long Term Outcomes and Secondary Malignancies in 673 Patients Treated in British Columbia (BC)
Notice bibliographique
Résumé
Background: Oral fludarabine and intravenous rituximab (FR) was the standard first-line therapy for CLL or small lymphocytic lymphoma (SLL) patients (pts) in BC from 2003-2015. Ibrutinib for relapsed/refractory (R/R) CLL was introduced and publicly funded in 2015. Our aim was to review long term outcomes of all CLL/SLL pts treated with FR in BC, including the impact of 2nd line therapy with ibrutinib versus chemoimmunotherapy and to report the risk of secondary malignancies in this population based cohort. Methods: The BC Provincial CLL Database was used to identify all CLL/SLL pts who received first-line FR from 2003-2017. The BC Cancer Registry was used to identify secondary malignancies occurring after FR. Primary outcomes were overall survival (OS) and treatment free survival (TFS), defined as start of FR to next-line therapy or death/last follow-up. Variables examined for impact on OS/TFS included age at FR, gender, primary diagnosis (CLL vs SLL), B symptoms, advanced stage (Rai stage 3-4 CLL, Ann Arbor 1-2 SLL), baseline hemoglobin, lymphocyte count, platelets, LDH and FISH abnormalities. All variables significant on univariate analyses (P<.1) were included in multivariate Cox proportional hazard regression models to identify significant predictors of OS/TFS. Results: 673 pts were identified as receiving FR as first-line therapy for CLL (86%) or SLL (14%). Median time from CLL/SLL diagnosis to FR was 2.5 years (y) (range 0.1-27.3). Median age at FR was 67 y (range 26-91) with 73% ≥ 60 y and 39% ≥ 70 y. Most pts were male (66.1%), had early stage disease (84.2%) with no B symptoms (89.7%) and normal LDH (81.1%). Of 411 pts with pre-treatment FISH testing, prevalence of FISH abnormalities were: 48.5% del13q, 25.7% trisomy 12, 12.9% del11q, 8.0% del17p. Median number of FR cycles was 6 (range 1-10). Median follow-up of living pts from FR was 6.4 y (range 0.2-12.7). 2 y and 5 y OS were 89.4% (95% CI: 86.8-91.6) and 73% (95% CI: 69.0-76.6) respectively; median OS 11.6 y (95% CI: 4.6-13.7 y). 2 y and 5 y TFS were 72% (95% CI: 68-75%) and 37% (95% CI: 33 - 41) respectively, median TFS 3.8 y (95% CI: 1.78-7.09). Those with del17p had significantly worse OS and TFS compared to those without (median OS 5.7 vs 13.7 y, P<.001; median TFS 1.4 vs 3.9 y, P<.001), Fig. 1. Multivariate analysis identified only del17p (HR 4.35, 95%CI: 2.10-9.01, P<.001) and age at FR (HR 1.04, 95% CI: 1.01-1.07, P=.007) as significant predictors of OS, and del17p (HR 4.3, 95% CI: 2.5-7.5, P<.001) as a significant predictor of TFS. During the follow up period, 351 pts (52%) went on to 2nd-line therapy: ibrutinib 87 (including 2 with BR and 1+R), cyclophosphamide-based (CVP/CHOP) +/- R 102, repeat FR 71, FCR 6, F alone 21, bendamustine +/-R 13, chlorambucil+/-R 38, steroids 3, R alone 3, alemtuzumab 2, other chemotherapy 3 and allotransplant 2. Median follow-up after 2nd-line therapy was 2.8 y (range 0.1-10.8). Median OS and TFS from 2nd-line treatment (TFS2) for ibrutinib (n=87) vs. for other treatments (n=264) was: OS not reached vs 5.3 y, P<.001; TFS2 not reached vs 1.2 y, P<.001. These significant differences persisted when analyses were restricted to those who received ibrutinib vs. chemoimmunotherapy (n=169): median OS not reached vs. 6.3 y (P=.002); median TFS not reached vs. 1.7 y (P<.001), Fig. 2. 2 y OS and TFS2 after ibrutinib were 91% (95% CI: 80-96%) and 78% (95% CI: 65-87%), respectively. A total of 202 malignancies were recorded after initiation of FR in 166 pts (24.7%), Table 1. The median time from FR to 2nd malignancy was 2.3 y (range 0.1-13.5). Richter's transformation (RT) occurred in 36 pts (5.3%) at median 1.9 y (range 0.1-13.2) from FR. Most frequent 2nd malignancies were: non-melanoma skin cancer (11.7%), lung (2.5%), colon (2.1%), other heme (1.9%), and prostate (1.8%). There were 4 cases of acute myeloid leukemia (AML), 2 of which received alkylator therapy after FR prior to AML diagnosis. Conclusions: In this large, homogeneous cohort of CLL/SLL pts treated with first-line FR, including nearly 40% of pts ≥ age 70, we demonstrate a short median TFS of 3.8 y; however, a long OS of 11.6 y. Rates of 2nd malignancies are low after this non-alkylator based chemoimmunotherapy regimen. Ibrutinib for R/R CLL/SLL after FR resulted in significantly improved survival over alternate therapy, with excellent 2 yr OS 91% and TFS 78%. These data demonstrate the efficacy of FR and the benefit of ibrutinib over chemoimmunotherapy as second-line therapy for CLL/SLL in the real-world. Disclosures Bruyere: Jenssen: Other: Travel Grant; Celgene: Honoraria. Villa:Roche, Abbvie, Celgene, Seattle Genetics, Lundbeck, AstraZeneca, Nanostring, Janssen, Gilead: Consultancy, Honoraria. Scott:Celgene: Consultancy; Roche/Genentech: Research Funding; Janssen: Consultancy, Research Funding; NanoString: Patents & Royalties: Named inventor on a patent licensed to NanoSting [Institution], Research Funding. Savage:BMS, Merck, Novartis, Verastem, Abbvie, Servier, and Seattle Genetics: Consultancy, Honoraria; Seattle Genetics, Inc.: Consultancy, Honoraria, Research Funding. Connors:Takeda Pharmaceuticals: Honoraria; Seattle Genetics: Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy. Sehn:TEVA Pharmaceuticals Industries: Consultancy, Honoraria; Acerta: Consultancy, Honoraria; Morphosys: Consultancy, Honoraria; F. Hoffmann-La Roche/Genentech: Consultancy, Honoraria, Research Funding; Seattle Genetics: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Astra Zeneca: Consultancy, Honoraria; F. Hoffmann-La Roche/Genentech: Consultancy, Honoraria, Research Funding; Kite Pharma: Consultancy, Honoraria; Kite Pharma: Consultancy, Honoraria; Morphosys: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; TEVA Pharmaceuticals Industries: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Acerta: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Astra Zeneca: Consultancy, Honoraria. Gerrie:Lundbeck, Seattle Genetics: Consultancy, Honoraria.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».