MétaCan
Menu
Retour à la cohorte
Enregistrement W4417009796 · doi:10.1182/blood-2025-2748

Real world population-based outcome analysis of small lymphocytic lymphoma (SLL) in British Columbia (BC)

2025· article· en· W4417009796 sur OpenAlexaffabout
S Osella Abate, Steven J.T. Huang, Elysha Vanderveer, Diego Villa, Christopher P. Venner, David W. Scott, Kerry J. Savage, Laurie H. Sehn, Cynthia L. Toze, Alina S. Gerrie

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensLeukemia & Lymphoma Society of CanadaSpinal Cord Injury BCUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésChronic lymphocytic leukemiaLymphomaEpidemiologyCohortSomatic evolution in cancerNatural historySurvival analysisBone marrowLeukemiaIncidence (geometry)

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Small lymphocytic lymphoma (SLL) primarily involves lymph nodes (LNs) and is considered biologically identical to its peripheral blood (PB)/bone marrow counterpart, chronic lymphocytic leukemia (CLL). Although CLL/SLL are effectively considered the same disease, little is known about the epidemiology and natural history of SLL and patients (pts) with SLL are often excluded from clinical trials. The objective herein was to evaluate clinical characteristics, treatment (tx) patterns, and survival in a large population-based cohort of SLL pts distinct from CLL. Methods: Adults ≥18 years (y) newly diagnosed with SLL from 1989-2024 in BC, Canada, were identified using provincial databases. SLL was defined as requiring the presence of enlarged LNs with <5x10^9/L PB clonal B lymphocytes, or <10x10^9/L PB lymphocytes when clonal B-cell count was unknown, confirmed by histopathologic LN/tissue evaluation where possible. Pts with concurrent Richter transformation (RT) were excluded. Time-to-event analyses were conducted for overall survival (OS), treatment-free survival (TFS, time from diagnosis to first tx or death/last follow-up [f/u]), and, for those who were treated, time from first to second-line tx (TTNT). Subgroups were compared using the log-rank test. Time to development of CLL was also assessed, defined as time from SLL diagnosis to PB clonal B lymphocytes >5x10^9/L or PB lymphocyte count ≥10x10^9/L when clonal B-cell count was unknown. Results: 676 pts were identified. Median age was 68y (range 25-97y), with 419 (62%) ≥65y and 404 (60%) male. At diagnosis, the majority had Ann Arbor stage 3-4 (89%), no B symptoms (82%), and ECOG performance status 0-1 (85%). Median PB lymphocytes were 3x10^9/L (range 0-10) and 30% had bulk ≥5cm. Among the 228 pts with FISH performed prior to any tx, prevalence of FISH abnormalities were: 63 (28%) del13q; 76 (33%) trisomy 12; 28 (12%) del11q; 20 (9%) del17p, and 85 (37%) had none of these 4 abnormalities. Among the 104 pts with IGHV mutation testing performed, 34 (33%) were mutated, 64 (62%) unmutated, and 6 (5%) indeterminate. At a median f/u of 12.4y (range 0.5-31.6y), median OS was 9.2y with 5- and 10-y OS 70% and 49%, respectively. OS was significantly worse for males (P=.005), those with B symptoms (P=.004), bulk ≥5cm (P<.001), elevated LDH (P<.001) or del17p (P=.002). Over the f/u period, 473 pts (70%) received tx with median 1 line (range 0-13). Median TFS was 1.6y with 5- and 10-y TFS 27% and 14%, respectively. TFS was significantly worse for those with stage 3-4, B symptoms, bulk ≥5cm, ECOG 2-4, or elevated LDH (all P<.001). First-line tx included: 150 (32%) purine analog (PA) + rituximab (R); 23 (5%) PA alone; 97 (20%) alkylating chemotherapy + R; 88 (19%) alkylating chemotherapy alone; 67 (14%) BTK inhibitor; 17 (4%) BCL2 inhibitor ± anti-CD20 monoclonal antibody; 31 (6%) other, including localized radiation/surgery. After first-line treatment, median TTNT was 3.8y (range 0.1-23.4y), which was not statistically different for those with del17p (P=.283). 45 pts (7%) developed RT at a median of 3.5y from diagnosis (range 0.2-18.8y), including 26 (58%) DLBCL, 8 (18%) Hodgkin lymphoma, and 11 (24%) unspecified. During the f/u period, 175 pts (26%) developed into CLL at a median of 3.5y from diagnosis (range 0.1-19.8y). When evaluating only those who developed CLL while on watchful waiting (natural history cohort, n=88), CLL developed at a median of 2.6y from diagnosis (range 0.1-18.7y). Treatment was more frequent in those who developed CLL (P=0.04), more often with PAs and targeted agents. Conclusion: In this large real-world cohort of SLL pts spanning three decades, median OS was 9.2y with worse OS for those with del17p and high-risk features typical of lymphoma including bulk, B symptoms, and elevated LDH. Median TFS was notably short at 1.6y, likely reflecting the classic symptomatic presentation of SLL prompting treatment, in contrast to the often incidental diagnosis of CLL. Treatment patterns differed among those who developed CLL versus those who did not. These results highlight both overlapping and distinct clinical trajectories in SLL and reinforce the need for dedicated SLL research, including disease biology which may be distinct from CLL, to better inform risk stratification and guide optimal treatment strategies.

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 enseignants0,051
Score d'incertitude au seuil0,103

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,019
Tête enseignante GPT0,298
Écart entre enseignants0,279 · 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'admission2
Résumé présentoui

Explorer davantage

Même revueBloodMême sujetChronic Lymphocytic Leukemia ResearchTravaux en français237 207