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Enregistrement W2980185927 · doi:10.1182/blood.v120.21.1531.1531

The Outcome of Advanced Stage Nodular Lymphocyte Predominant Hodgkin's Lymphoma (NLPHL) Compared to Classical Hodgkin's Lymphoma (CHL): A Matched Pair Analysis

2012· article· en· W2980185927 sur OpenAlexaff
Katharine He Xing, Joseph M. Connors, Mubarak Al‐Μansour, Randy D. Gascoyne, Brian Skinnider, Kerry J. Savage

Notice bibliographique

RevueBlood · 2012
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensBC Cancer AgencyUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésStage (stratigraphy)LymphomaMedicineInternal medicineClassical Hodgkin lymphomaOncologyHodgkin lymphomaFollicular lymphomaBiology

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 1531 Background: Nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) constitutes 5% of all Hodgkin lymphoma (HL), and with only 20% presenting with advanced stage, there are limited data regarding the optimal management and long-term outcome. We previously reported a moderate risk of transformation to NLPHL to aggressive lymphoma evaluating all stages and advanced stage disease and spleen involvement emerged as risk factors (Al-Mansour et al., JCO, 2010). Herein, we evaluated the outcome and transformation risk of advanced stage NLPHL (stage IIB, III or IV) and compared to a cohort of matched historical controls with classical Hodgkin lymphoma (cHL). Methods: We screened the BCCA Lymphoid Cancer Database to identify all patients with NLPHL diagnosed between 1970 and 2011 by the WHO classification with prior pathological review. For each patient treated with curative intent (n=41), 2:1 matched controls with cHL were identified with matching by age (12–30, 31–45, 46–60, >60 y), gender, stage, decade of diagnosis, mass size (<10 cm or ≥10 cm) and treatment received. Lymphoma progression-free survival (LyPFS) was measured from the date of diagnosis to the date of lymphoma recurrence (NLPHL or transformation to aggressive lymphoma), or death due to acute treatment toxicity, HL or non-Hodgkin lymphoma (NHL). Freedom from treatment failure (FFTF) events included relapses from NLPHL and death due to acute treatment toxicity or HL. Overall survival (OS) and time to transformation (TTT) were as previously defined (Al-Mansour et al., JCO, 2010). Results: 42 patients with advanced stage NLPHL were identified. Characteristics: median age 37 y; male, 71%; stage III disease, 90%; good performance status (PS≤1), 88%; non-bulky disease (<10cm), 100%. All cases had an IPSS score < 4, and 14 (34%) had splenic involvement. Most patients received ABVD-(like) chemotherapy (83%). With a median follow-up of 10 y (range 1.2–35.6 y), the 5, 10 and 15 year OS were 89%, 86% and 76% respectively, and the LyPFS was 72%, 63% and 44% respectively. The FFTF, reflecting NLPHL relapses, at 5, 10, 15 years was 84%, 76% and 53%, respectively. In total, 20 (48%) patients relapsed with lymphoma. At first relapse, 12(60%) had NLPHL and 8 (40%), aggressive NHL. For the 12 NLPHL relapses, 1 later developed aggressive NHL, and 8 developed a second NLPHL relapse. In univariate analysis, poor PS (>2) was associated with a reduced LyPFS (p=0.042) and there was a trend towards excess relapses with spleen involvement (p=0.081). The median TTT was 5.45 y (range 0.3–20.3 y) and the risk of transformation at 5, 10, 15, 20 years was 12%, 15%, 20% and 30% respectively. The OS in ever-transformed versus never-transformed cases was 96% vs 67% at 5 y (p=0.123). Spleen involvement (25 y TTT 65% vs 8.5%, p=0.014, Figure 1) and mass size ≥5cm (p=0.003) at initial presentation were identified as risk factors for transformation. Risk factors for relapse with NLPHL were male sex (p=0.026), mass size < 5cm (p=0.038), and PS ≥2 (p=0.001) but notably, spleen involvement was not a risk factor (p=0.699). There was a trend towards increased risk of NLPHL relapse for patients receiving non-ABVD regimens (MOPP+/−RT n=3; RT n=2) (10 y FFTF 80% vs 17%, p=0.086). For the matched control analysis, 82 patients with cHL were identified (80% NScHL), with a median follow-up time of 8.5 y (range 1.1 y – 26 y). Most cHL patients had an IPSS score < 4 (94%) and 41% had spleen involvement. The OS was similar in NLPHL and cHL (15 y OS 76% vs 67%, p=0.5808). There was a trend towards a superior LyPFS for patients with cHL vs NLPHL, 72% vs 44% at 15 years (p=0.096, Figure 2), respectively, but similar FFTF (p=0.930), reflecting an absence of transformation events in cHL. There were more late (> 5 y) lymphoma relapses in NLPHL (HL and NHL) compared to patients with cHL (45% vs 10%, p=0.01). Conclusion: With long-term follow-up, almost half of the patients with NLPHL develop a lymphoma relapse and large proportion experience transformation to aggressive lymphoma. Splenic involvement is a strong risk factor for eventual development of aggressive lymphoma providing a rationale for CHOP +/− rituximab based chemotherapy. Although the OS of NLPHL is comparable to cHL, there is an inherent increased risk of transformation and late relapses, highlighting a distinct disease behaviour and the need for repeat biopsy at relapse as well as long-term surveillance. Disclosures: No relevant conflicts of interest to declare.

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 enseignants0,002
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
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 Opus0,020
Tête enseignante GPT0,287
Écart entre enseignants0,268 · 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
Publié2012
Routes d'admission1
Résumé présentoui

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