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Enregistrement W2533737381 · doi:10.1182/blood.v126.23.3863.3863

Outcomes of Nodular Lymphocyte Predominant Hodgkin Lymphoma (NLPHL) Vs. Classical Hodgkin Lymphoma (cHL) at Princess Margaret Cancer Centre

2015· article· en· W2533737381 sur OpenAlexaffabout
Jeffery Ames, Manjula Maganti, Bethany Monteith, David Hodgson, Vishal Kukreti, John Kuruvilla, Anca Prica, Richard Tsang, A. Sun, Mary Gospodarowicz, Melania Pintilie, Michael Crump

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensUniversity of TorontoPrincess Margaret Cancer CentreKingston General HospitalQueen's University
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineLogistic regressionProportional hazards modelStage (stratigraphy)OncologyLymphomaCancerCancer registryClassical Hodgkin lymphomaCohortHodgkin lymphomaBiology

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Treatment of nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) is controversial. While management generally follows that of classical HL (cHL), NLPHL demonstrates many biologic differences from cHL, and such patients (pts) are often excluded from prospective trials of novel therapies. The purpose of this study was to describe the characteristics and treatment outcomes of pts with NLPHL at the Princess Margaret Cancer Centre (PM) compared to those with cHL, with both groups managed following the same treatment algorithms according to stage at presentation. Methods: We identified 820 pts registered in our Lymphoma database from 1999 to 2013 who had primary treatment at PM; 50 had NLPHL and 770 had cHL. The outcomes of the two groups were compared utilizing the whole cohort as well as a 1:3 propensity score-matched subcohort. Propensity scores were calculated based on a logistic regression model with the probability of belonging to the NLPHL group as dependent variable. Pts were matched based on age, gender, treatment received, stage, extranodal disease and follow-up time. A competing risks approach was used to estimate the probability of relapse and Gray's test and Fine and Gray model were used to study significance between groups. A Cox regression model and the log-rank test were used to compare disease free survival (DFS). Results: Median age at diagnosis of pts with NLPHL was 38 years (range 12-73) and 28 years (4-88) for those with cHL (p=0.006); 20% of NLPHL pts were female versus 44% with cHL (p=0.008). Similar proportions of pts with NLPHL and cHL presented with stage I/II lymphoma (84% vs 73%, p=0.083) but extranodal (E) disease was less common in NLPHL (4% v 25%, p=0.006). Treatment received: NLPHL: radiation (IFRT) alone 26%, chemotherapy alone 20%, combined modality therapy (CMT) 54%; CHL: IFRT alone 2%; chemotherapy alone 24%; CMT 74%. Chemotherapy consisted of doxorubicin, bleomycin, vinblastine, dacarbazine (ABVD). The median follow-up time (range) was 7.7 (1.5-15.2) years in the NLPHL group versus 5.2 (0.03-15.9) years in the cHL group. There was no difference in DFS or relapse rate between pts who were diagnosed with cHL and NLPHL (p >0.7). Pts with stage III/IV NLPHL had the poorest outcome with the highest rate of relapse at 5 years (53.1%) compared to other groups (23.4%, 12.4% and 2.8%), and the lowest DFS at 5 years (47% vs. 97%, 85% and 74%, p<0.001). Pts with stage III/IV NLPHL were 2.9 times more likely to experience relapse than pts with stage III/IV cHL (p-0.03 (95% CI: 1.1-7.5)). Among the 50 pts with NLPHL, 47 could be matched with pts with cHL (n=126, Table 1). The response to treatment was similar between the matched pt groups, with 44 (94%) pts achieving CR/CRu/PR in the NLPHL group and 118 (94%) with cHL. As was seen for the whole cohort, no difference in the probability of relapse or DFS between the matched NLPHL and cHL pts (relapse at 5y:11.2% v 21.4%, DFS at 5y: 89 % vs. 75% p=NS); however, the hazard ratio for relapse for pts with stage III/IV NLPHL vs cHL was 3.0 (95% CI 0.83-10.9, p=0.09); relapse probability by subtype and stage is shown in figure 1. DFS at 5 years: NLPHL stage I/II 97%, stage III/IV 47%; cHL stage I/II 78%, stage III/IV 58% ; hazard ratio for DFS for pts with stage III/IV NLPHL vs cHL 2.0 (95% CI 0.53-7.6, p=0.31); Four pts with NLPHL and 1 with cHL developed a second lymphoma (4 DLBCL, 1 plasmablastic). Conclusion: Within the limits of relatively small patient numbers, the prognosis of pts with early stage NLPHL is excellent when treated with CMT approaches used for cHL, or IFRT alone, while pts with stage III/IV disease appear to have a high rate of recurrence with ABVD; alternative regimens should be considered in these patients. Table 1. Characteristics of matched cohorts Covariate CHL (N=126)N (%) NLPHL (N=47)N (%) Age at Diagnosis (yrs) Median (range) 36 (12-73) 36 (4-86) Gender % Female Male 29 (23.0) 97 (77.0) 10 (21.3) 37 (78.7) Treatment Chemotherapy CMT IFRT 25 (19.8) 85 (67.5) 16 (12.7) 10 (21.3) 27 (57.4) 10 (21.3) Stage I/II III/IV 108 (85.7) 18 (14.3) 39 (83.0) 8 (17.0) Extranodal N Y 119(94.4) 7(5.6) 45 (95.7) 2 (4.3) Response to Treatment CR/CRu/PR NR/SD 118 (93.7) 8 (6.3) 44 (93.6) 3 (6.4) Status Alive Death 110 16 45 2 Cause of Death HL or treatment toxicity Other/unknown alive 6 9 110 1 1 45 Competing risk (Relapse) No Relapse Relapse (incl PD) Death without Relapse 94 25 7 38 9 - Figure 1. Relapse probability according to stage, histology Figure 1. Relapse probability according to stage, histology Disclosures Kukreti: Roche: Honoraria; Lundbeck: Honoraria; Amgen: Honoraria; Celgene: Honoraria; Janssen Ortho: Honoraria. Kuruvilla:Seattle Genetics: Honoraria, Research Funding; Karyopharm: Honoraria, Research Funding; Roche Canada: Honoraria. Crump:Celgene: Honoraria; Sanofi: Honoraria; Seattle Genetics: 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 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 seuil0,008

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 ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,021
Tête enseignante GPT0,271
Écart entre enseignants0,250 · 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

Citations7
Publié2015
Routes d'admission2
Résumé présentoui

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