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Enregistrement W2552111400 · doi:10.1182/blood.v124.21.2648.2648

Clinical Outcomes for Chronic Lymphocytic Leukemia (CLL) Patients with 11q Deletion in British Columbia (BC), Canada: Results of a Population-Based Cohort

2014· article· en· W2552111400 sur OpenAlexaffabout
Jennifer Goy, Tanya L. Gillan, Huang J.T. Steven, Hélène Bruyèrè, Monica Hrynchak, Aly Karsan, Khaled M. A. Ramadan, Adam C. Smith, Cynthia L. Toze, Alina S. Gerrie

Notice bibliographique

RevueBlood · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensBC Cancer AgencySt. Paul's HospitalRoyal Columbian HospitalVancouver General HospitalUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineProportional hazards modelPopulationChronic lymphocytic leukemiaOncologyHazard ratioCohortTrisomySurvival analysisLeukemiaConfidence intervalBiologyGenetics

Résumé

récupéré en direct d'OpenAlex

Abstract BACKGROUND The 11q22.3 deletion (11q-) encompassing the ATM locus detected by fluorescence in situ hybridization (FISH) is present in up to 20% of CLL patients (pts), and is associated with an aggressive disease course and poor response to treatment (tx). However, there are few clinical studies that have specifically focused on pts with 11q-. Prognostic factors that may explain the variable outcome in this group have not been investigated, nor have survival outcomes in a population-based setting. Furthermore, few clinical studies have described practice patterns within the 11q- group. This study aims to improve our understanding of the prognosis, management and clinical course of CLL pts with 11q-. METHODS The BC Provincial CLL Database, which includes all pts who have undergone CLL FISH testing in a provincially validated laboratory since 2004, was used to identify all pts in BC (population 4.5 million) with a confirmed 11q- >10% found at any point during the disease course, with or without other detectable FISH abnormalities. Overall survival (OS), treatment-free survival (TFS) (time from diagnosis to first tx/death) and time to second-line treatment (tx) were the main outcomes of interest, and were investigated in relationship to age (<60 vs ≥60 years [yrs]), sex, Rai stage (3-4 vs 0-2), CD38 status, % 11q-, and presence of other recurrent FISH abnormalities (17p deletion [17p-], trisomy 12, 13q deletion, and IGH translocation). Multivariate analysis (MVA) was performed using Cox proportional hazard models with a backwards stepwise selection process to determine predictors of OS/TFS. RESULTS 125 out of 1044 (12%) pts were identified with 11q- detected at any point. Median age at CLL diagnosis was 61 yrs (range, 35-80). At a median follow-up of all patients of 6.3 yrs (range 0.5 - 26.2), median OS and TFS for the entire cohort are 12.6 yrs (standard error [SE] = 1.5 yrs) and 2.5 yrs (SE = 0.5 yrs), respectively. In MVA, advanced Rai stage (HR 3.7, 95% CI 1.28-10.8, P=.015), age ≥ 60 yrs (HR 2.2, 95% CI 1.2-4.3, P=.012) and male gender (HR 2.4, 95 % CI 1.5-5.3, P=.024) were significant predictors of OS. Clonal evolution (CE) to 11q- and/or other FISH abnormalities was documented in 12 pts. In 9/12 cases, 11q- developed after one or more tx courses whereas, in 3/12 cases, 11q- developed prior to tx initiation at median 5 yrs (range, 3.8-6.5) from initial FISH test. Sixty-nine pts had a documented 11q- pre-tx. At median follow-up of 5.0 yrs (range, 0.5 to 18.7), this group had median OS and TFS of 14.7 (SE =1.8) and 2.5 yrs (SE= 0.5), respectively (Fig 1). Pts with presence of 11q- and 17p- had a markedly worse prognosis compared to those without, with median OS 4.9 vs. 14.7 yrs (P< .001) and TFS of 0.2 vs. 2.5 yrs (P=0.31). In MVA, co-presence of 17p- (HR = 11.3, 95% CI 2.4-52.5, P=.02) and age ≥ 60 yrs (HR 3.8, 95% CI 0.83-17.1, P=.05) were adverse prognostic markers for OS. Age ≥ 60 yrs (HR =2.0, 95% CI 1.0-3.9, P=.03), presence of > 75% 11q- (vs. < 75 % 11q-) (HR = 1.8, 95%CI 1.0-2.3, P=.03) and advanced Rai stage (HR = 7.1, 95%CI 2.4-21.0, P=.01) were associated with shorter TFS. Of this group of 69, 52 pts (75%) received at least one tx course during follow-up. Thirty-three pts received fludarabine +/- rituximab (FR) as first line, 14 pts received alkylator based tx (FC +/- R in 8; CVP +/- R in 5; CHOP + R in 1) and 5 pts received chlorambucil-based +/- R. Pts treated with FR alone had median OS 12.8 yrs (SE=1.0), which was not statistically different from those treated with alkylators , where median OS was 6.8 yrs (SE=2.1), P=.35 (Fig 2). In MVA, receipt of fludarabine vs alkylator-based treatment was not associated with any significant difference in OS (P=.52) or time to 2nd tx (P=.65). CONCLUSION This study is to our knowledge the largest population-based report of CLL pts with 11q- and further enhances our understanding of the clinical course of such pts in a real world setting. Although median TFS of 11q- pts is short at 2.5 yrs, OS remains long at 12.6 yrs. The importance of combined 11q- and 17p- as adverse prognostic markers in CLL is highlighted. Most pts in BC with 11q- received FR as first line therapy. There is retrospective trial data suggesting that first line tx containing alkylators (ie. cyclophosphamide) can overcome the adverse prognostic features of 11q-. However, most of this trial data is from the pre-R era. Though limited in numbers, our study does not suggest that first line tx without alkylators is associated with negative outcomes. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures Toze: Roche: Consultancy, Honoraria, Research Funding. Gerrie:F Hoffmann-La Roche: Other.

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)0,001
score de la tête « metaresearch » (Gemma)0,002
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 enseignants0,017
Score d'incertitude au seuil0,124

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,005
Études des sciences et des technologies0,0030,001
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,010
Tête enseignante GPT0,266
Écart entre enseignants0,255 · 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
Publié2014
Routes d'admission2
Résumé présentoui

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