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Enregistrement W4405044297 · doi:10.1182/blood-2024-198794

Utility of the Central Nervous System International Prognostic Index (CNS-IPI) in Patients with Primary Mediastinal B-Cell Lymphoma Treated with Rituximab-Containing Chemoimmunotherapy

2024· article· en· W4405044297 sur OpenAlexaff
Jiayu Yang, Anna Hayden, Diego Villa, Aixiang Jiang, Alina S. Gerrie, Christopher P. Venner, Pedro Farinha, David W. Scott, Laurie H. Sehn, Kerry J. Savage

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensSpinal Cord Injury BCUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMedicineRituximabChemoimmunotherapyInternational Prognostic IndexInternal medicineDiffuse large B-cell lymphomaOncologyLymphoma

Résumé

récupéré en direct d'OpenAlex

Introduction: Central nervous system (CNS) relapse is a rare, but devastating event in primary mediastinal B-cell lymphoma (PMBCL). Historically, CNS recurrence occurred in ~2% of patients. However, large scale studies in the rituximab era have not been performed and there is limited information on specific risk factors. The CNS-international prognostic index (CNS-IPI) is a validated CNS risk model for diffuse large B-cell lymphoma (DLBCL) incorporating 6 risk factors, including the standard IPI factors, in addition to renal and/or adrenal involvement. The CNS-IPI risk can identify a high-risk group (≥4 risk factors) with a CNS relapse risk of ≥10%. However, as a separate entity, PMBCL was not included. Methods: All patients (pts) age ≥18 years with a new clinico-pathological diagnosis of PMBCL, treated with curative intent rituximab (R)-containing chemoimmunotherapy, between January 1, 2001 and December 31, 2022 were identified through the BC Cancer Centre for Lymphoid Cancer Database. The CNS-IPI, incorporating age (>60 years), stage (III/IV), ECOG performance status (PS) (≥2), number of extranodal sites (>1), elevated LDH, and renal/adrenal involvement, was determined to stratify pts into low risk (0-1 factors), intermediate risk (2-3 factors), and high risk (≥4 factors) groups. The cumulative incidence of CNS relapse was estimated using a competing risk analysis with the R package cmprsk, accounting for death from any cause as a competing event. Results: In total, 244 pts were identified. The median age at diagnosis was 36 years (range 17-84) and 136 (55.7%) were female. The median size of the anterior mediastinal mass was 11 cm (range 5-20 cm). By the CNS-IPI risk factors, 21 (8.6%) pts were age >60 years, 95 (38.9%) had stage III/IV disease, 87/236 (36.9%) had PS ≥2 (missing n=8), 83 (34.0%) had >1 extranodal site, 180/239 (75.3%) had an elevated LDH (missing n=5), and 13 (5.3%) patients had renal and/or adrenal involvement. The CNS-IPI for 233 pts with all factors available was: 0-1, n=95 (38.9%); 2-3, n=100 (41%); 4+ factors n=38 (15.6%). In total, 33 (13.5%) pts received dose adjusted (DA) EPOCH-R, and the remaining pts received R-CHOP, 8 of which had R-CHOP x 3/R-ICE x3 as part of a clinical trial. 69 (28.3%) pts received radiotherapy post systemic therapy. Three pts with renal/adrenal involvement had high dose methotrexate prophylaxis, 1 of whom also received intrathecal chemotherapy. With a median duration of follow up for alive pts of 91 months (range 5-263), 6 (2.5%) had a CNS relapse, with a median time to CNS relapse from diagnosis of 9.9 months (range 5.1-56.9) and 5-year (5 y) estimated cumulative incidence of CNS relapse of 2.7% (95% confidence interval (CI) 1.1%, 5.7%). Five pts with CNS relapse had isolated parenchymal involvement, 1 of whom developed systemic relapse later during CNS treatment, and the remaining pt had leptomeningeal disease concurrent with systemic relapse. The 5 y cumulative incidence of CNS relapse was 2.1% (95% CI 0.7%, 5.0%) and 6.8% (95% CI 1.1%, 19.8%) in the R-CHOP and DA-EPOCH-R treatment groups, respectively, p=0.075. By the CNS-IPI, 14.7% (31/211) of pts treated with R-CHOP, and 21.2% (7/33) of pts treated with DA-EPOCH-R were high-risk (p=0.337) and renal/kidney involvement occurred in 11/200 (5.5%) and 2/31 (6.4%), by treatment group respectively (p=0.84). The 5 y cumulative incidence of CNS relapse was 0%, 1.7% (95% CI 0.1%, 7.9%), and 13.2% (95% CI 4.7%, 26.0%) in the low, intermediate, and high-risk CNS-IPI groups, respectively (p<0.0001). Four of the cases with CNS relapse had renal/adrenal involvement at diagnosis, which translated into a 5 y cumulative incidence CNS recurrence risk of 30.8% (95% CI 8.7%, 57%) vs. 1.1% (95% CI 0.2%, 3.9%) (p<0.00001) for those with and without renal/adrenal involvement, respectively. Conclusion: The risk of CNS relapse in PMBCL is overall low and comparable to estimates reported in the pre-rituximab era, which likely reflects the poor penetrance of rituximab across the blood-brain barrier. Like in DLBCL, the CNS-IPI appears to stratify pts and identifies a high-risk group in PMBCL with a CNS relapse rate of approximately 10%. However, this appears to largely driven by renal/adrenal involvement, which represents a very high-risk site. These data provide a benchmark to compare the impact of ongoing studies incorporating PD1 inhibitors and other novel therapies in frontline therapy.

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)0,003
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 seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,005
Tête enseignante GPT0,190
Écart entre enseignants0,186 · 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

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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