MétaCan
Menu
← Retour à la cohorte
Enregistrement W2584624237 · doi:10.1182/blood.v118.21.96.96

Survival of Peripheral T-Cell Lymphomas (PTCLs) Patients Following Relapse: Spectrum of Disease and Rare Long-Term Survivors

2011· article· en· W2584624237 sur OpenAlexaff
Vivien Mak, Joseph M. Connors, Richard Klasa, Laurie H. Sehn, Diego Villa, Tamara Shenkier, Mukesh Chhanabhai, Randy D. Gascoyne, Kerry J. Savage

Notice bibliographique

RevueBlood · 2011
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensBC Cancer Agency
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineLymphomaAnaplastic large-cell lymphomaNot Otherwise SpecifiedPopulationAnaplastic lymphoma kinaseOncologyB symptomsGastroenterologyLung cancer

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 96 Introduction: Recently, a number of novel therapies have been under investigation in PTCLs, however, it remains a challenge to compare these agents and determine the impact on outcome. The purpose of this population-based study was to determine the spectrum of survival in PTCL patients (pts) following relapse and to explore factors influencing survival. The three most common subtypes encountered in North America were evaluated: PTCL-not otherwise specified (PTCL-NOS), angioimmunoblastic T-cell lymphoma (AILT), anaplastic large cell lymphoma, ALK positive (ALK-pos) and ALK-negative (ALK-neg). Material and Methods: The Centre for Lymphoid Cancer Database was screened to identify all pts ≥ 16 y with the above histologies that relapsed or had progressive disease (PD) following primary therapy. In addition to the timing of relapse (very early < 9 mos from diagnosis; early 9–24 mos and late > 24 mos), clinical information at the time of relapse was collected where possible. Responses were determined by the treating physician: Response = any clinical and/or radiographic response; PD = no change or disease progression. Results: In total, 276 pts diagnosed between 1976 and 2010 were identified with primary progressive or relapsed PTCL with initial diagnoses by the WHO classification. 68 were excluded: unconfirmed pathology (6), CNS disease (5), complications during primary CHT (17), no primary chemotherapy (CHT) (27), incomplete chart or lost follow-up (13). 208 pts were analyzed (PTCL-NOS = 109 (52%), ALCL = 54 (26%) (ALK-pos = 18; ALK-neg = 33; ALK status unknown = 3), AILT = 45 (22%). The majority of pts received anthracyclines as part of their primary CHT (89%). The median age at the time of relapse was 62.5 y (range 20 to 86 y) (PTCL-NOS 62 y, ALK-neg 62 y, ALK-pos 40.5 y, AILT 68 y). 129 (62%) pts were refractory to initial CHT. 53 pts were planned for HDC/SCT, however, only 38 (72%) ultimately received it (allo 17, auto 21). 37 pts (18%) were either too ill for any therapy (34) or refused therapy (3). The remaining pts received some type of treatment for their relapsed PTCL: systemic CHT (gemcitabine, CHOP(like), alkylators alone) (103) radiation alone (19) or steroids (11). The median follow-up for surviving pts after relapse/progression was ∼ 4 y. The median overall survival (OS) following relapse for the whole cohort was 7.0 mos (HDC/SCT 47.1 mos; no HDC/SCT 5.4 mos). The median progression free survival (PFS) following relapse was 4.6 mos (HDC/SCT 27.7 mos, no HDC/SCT 2.8 mos). The 3 y OS and PFS following relapse were 55% and 48%, respectively in the HDC/SCT group and similar whether an autologous or allogeneic SCT was performed. The corresponding 3 y OS and PFS estimates in the no HDC/SCT group were19% and 13.5 %, respectively. There was no difference in OS and PFS amongst the histologic subtypes. Considering the no HDC/SCT pts who received CHT (n=103), 55% were determined to have to have had a response to chemotherapy, and the median OS and PFS was 7.0 mos and 4.0 mos, respectively (responders vs non-responders/PD OS 16.7 mos vs 3.0 mos, p<.0001; responders vs non-responders/PD PFS 8.2 mos vs 1.4 mos, p<.0001). In multivariate analysis, the secondary IPI (sIPI), PS ≥ 2, late relapse and HDC/SCT were all prognostic for both PFS (sIPI ≥3 (HR 1.8, p=.009), PS ≥2 (HR 2, p =.002), HDC/SCT(HR.28, p<.0001), late relapse > 24 mos (HR=.64, p<.0001)) and OS (sIPI (HR 1.84, p=.010), PS (HR 2.5, p<.0001) HDC/SCT (HR.46, p=.003) late relapse (HR.65, p<.0001)). Of interest, 28 pts relapsed > 24 mos from the date of diagnosis (PTCL-NOS 12 (43%); ALK-neg ALCL 6 (21%); ALK-pos ALCL 3 (11%); AILT 6 (21%)) and only 8 (31%) subsequently received HDC/SCT but the median PFS and OS was very favourable in this group, 25.4 mos and 41.4 mos, respectively (no HDC/SCT PFS 14 mos and OS 32.3 mos). Conclusions: The outcome of the majority of pts with relapsed/progressive PTCL is poor and with brief remissions to systemic therapy, highlighting the urgent need for novel agents specifically active in PTCL. Outcomes were far superior in pts who were able to be transplanted and efforts need to focus on expanding the number of pts eligible for this curative therapy. Standard clinical factors were prognostic at relapse and are critical when comparing the efficacy of new agents. PTCL pts with rare, very late relapses have a much more favourable prognosis and further highlight the diverse disease biology of PTCLs. Disclosures: Sehn: Roche/Genentech: Consultancy, Honoraria, Research Funding. Villa:Roche: Research Funding. Shenkier:Roche: Research Funding. Savage:Celgene: Consultancy; Allos Therapeutics: Consultancy, Honoraria; Seattle Genetics: Consultancy, 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)0,000
score de la tête « metaresearch » (Gemma)0,001
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 enseignants0,001
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
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 savante0,0000,000
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 Opus0,014
Tête enseignante GPT0,223
Écart entre enseignants0,209 · 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

Citations6
Publié2011
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetLymphoma Diagnosis and Treatment→Travaux en français237 207→