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Enregistrement W3211879125 · doi:10.1182/blood-2021-146036

Outcomes in Relapsed/Refractory Burkitt Lymphoma: A Multi-Centre Canadian Experience

2021· article· en· W3211879125 sur OpenAlexaffabout
Farheen Manji, Eric Chow, Alina S. Gerrie, Neil Chua, Robert Puckrin, Douglas A. Stewart, Pamela Skrabek, Isabelle Bence‐Bruckler, Mary‐Margaret Keating, Joanne Britto, Gwynivere A Davies, Vishal Kukreti, John Kuruvilla, Michael Crump

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensMcMaster UniversityJuravinski Cancer CentreOttawa HospitalPrincess Margaret Cancer CentreBC Cancer AgencyUniversity of ManitobaUniversity of CalgaryQueen Elizabeth II Health Sciences CentreUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineRefractory (planetary science)LymphomaBurkitt's lymphomaChemotherapy regimenRegimenImmunophenotypingChemotherapyStage (stratigraphy)GastroenterologySurgeryImmunology

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Burkitt lymphoma (BL) is an aggressive B cell lymphoma with a distinct morphology, immunophenotype and characteristic C-MYC gene rearrangement. When treated with intensive chemotherapy, outcomes are excellent with a reported overall survival of greater than 80% at 3 years. A small subset of patients have primary refractory or relapsed disease, but there have been few reports of treatment and outcomes of these patients due to the rarity of this lymphoma and its otherwise good prognosis. Objective: The objective of this study was to review the characteristics, treatments and outcomes of patients with relapsed/refractory BL. Methods: We included patients 18 years or older with a pathologically confirmed BL diagnosed between 2003 and 2018 at eight Canadian centres who received curative intent frontline chemotherapy and who had primary refractory or relapsed disease. Data were retrospectively reviewed at each site independently. Staging and response assessment was based on computed tomography (CT). Descriptive statistics were used for baseline characteristics and treatment regimens. Kaplan Meier Survival Analysis was used to estimate overall survival (OS) which was calculated from time of relapse. Results: A total of 74 patients were included in the study. Median age was 48 years (IQR 32-61) and 81% were male. Nine patients (12%) were known to be HIV positive. Most patients had advanced disease with stage III/IV (n=47, 64%), bone marrow involvement (n=32, 43%) and at least one extranodal site (n=67, 91%). Nineteen patients (26%) had central nervous system (CNS) involvement at diagnosis. The most common induction regimen was CODOX-M-IVAC (n=43, 58%) followed by CHOP or EPOCH (n=14, 19%) and hyperCVAD (n=7, 9%). Forty five (61%) patients received rituximab with their first line treatment. The median time to relapse from diagnosis was 5 months with a majority of cases being primary refractory (n=57, 77%). Patients had systemic relapse (n=44, 59%), isolated CNS relapse (n=19, 26%) or both (n=11, 15%). Forty three (58%) patients received second-line salvage chemotherapy while 28 (39%) were treated with palliative oral chemotherapy and/or radiation. A variety of salvage regimens were used including systemic and CNS-directed second line regimens: most common GDP (n=7, 9%), hyperCVAD (n=5, 7%) and DHAP (n=5, 7%). Rituximab was given at relapse to 23 patients (31%). Progressive disease during or after salvage was noted in 23 (31%) patients. Twenty patients received a second-line transplant (15 autologous, 5 allogeneic). The median OS of the whole cohort was 3.2 months and 2 year OS was 17.2% (95% CI 9.4-26.9). Median OS for patients receiving salvage was 5.4 months compared to 1.3 months for those who received palliative therapy (p<0.05). Amongst the patients who died (n=62, 84%), the most common cause of death was disease progression (n=57, 77%), while 2 died from treatment-related toxicity (3%) and 3 from second malignancies (4%). Patients with both systemic and CNS involvement at the time of relapse had a worse prognosis than those with isolated systemic or isolated CNS relapse (median OS 1.9 months vs 3.4 months, p=0.03). Nine of 11 surviving patients received either an autologous (n=8) or allogeneic (n=1) stem cell transplant. One patient was lost to follow up shortly after progressing. Median follow up for survivors was 50 months (range 2-201 months). Conclusion: Relapsed/refractory BL has very poor prognosis, even in the rituximab era. There is no standard approach to salvage treatments in this population. Despite advances in novel agents and cellular therapies in aggressive lymphoma, patients with BL are often excluded from these clinical trials. This study highlights the need for inclusion of this population in trials evaluating novel therapies for aggressive B cell lymphomas. Figure 1 Figure 1. Disclosures Gerrie: Astrazeneca: Honoraria, Research Funding; Sandoz: Honoraria; Roche: Research Funding; AbbVie: Honoraria, Research Funding; Janssen: Honoraria, Research Funding. Chua: Merck: Honoraria; Pfizer: Honoraria; Eisai: Honoraria; Gilead: Honoraria. Stewart: Roche: Honoraria; Janssen: Honoraria; Abbvie: Honoraria; Gilead: Honoraria; Celgene: Honoraria; Novartis: Honoraria; AstraZeneca: Honoraria; Amgen: Honoraria; Sandoz: Honoraria; Teva: Honoraria. Kuruvilla: Seattle Genetics: Honoraria; TG Therapeutics: Honoraria; Medison Ventures: Honoraria; Amgen: Honoraria; Karyopharm: Honoraria, Other: Data and Safety Monitoring Board; Gilead: Honoraria; Pfizer: Honoraria; Incyte: Honoraria; AstraZeneca: Honoraria, Research Funding; AbbVie: Honoraria; Antengene: Honoraria; Merck: Honoraria; Novartis: Honoraria; Roche: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; BMS: Honoraria. Crump: Novartis: Membership on an entity's Board of Directors or advisory committees; Kyte/Gilead: Membership on an entity's Board of Directors or advisory committees; Epizyme: Research Funding; Roche: Research Funding.

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 enseignants0,272
Score d'incertitude au seuil0,547

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
Bibliométrie0,0010,002
Études des sciences et des technologies0,0020,001
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0010,000
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 Opus0,018
Tête enseignante GPT0,262
Écart entre enseignants0,244 · 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

Citations9
Publié2021
Routes d'admission2
Résumé présentoui

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