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Enregistrement W3211368441 · doi:10.1182/blood-2021-147837

Comparative Analysis of Mature T-Cell and NK/T-Cell Lymphomas in Patients with and without HIV: Results from the NA-Accord and Complete Cohorts

2021· article· en· W3211368441 sur OpenAlexaboutno aff
Min Jung Koh, Mwanasha H. Merrill, Min Ji Koh, Robert Stuver, Carolyn D. Alonso, Francine M. Foss, Ángel M. Mayor, M. John Gill, Marta Epeldegui, Edward R. Cachay, Jennifer E. Thorne, Michael J. Silverberg, Michael A. Horberg, Keri N. Atlhoff, Ank E. Nijhawan, Kathleen A. McGinnis, Charles S. Rabkin, Sonia Napravnik, Changyu Shen, Salvia Jain

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineLymphomaCohortPopulationInternal medicineDiffuse large B-cell lymphomaOncologyPediatrics

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Clinicopathological characteristics and prognosis for patients with HIV (PWH) and T-cell lymphomas (TCLs) in the current antiretroviral therapy (ART) era remains unknown. The primary objective of this study was to determine outcomes of patients with mature T and NK/T-cell lymphomas with and without HIV (PWoH) in North America. A secondary objective was to define variations in the survival of patients with TCLs and AIDS-defining B-cell lymphomas (A-BCLs) in the presence of ART. Methods: The study population included patients from two source populations, the NA-ACCORD (The North American AIDS Cohort Collaboration on Research and Design) and COMPLETE (Comprehensive Oncology Measures for Peripheral T-cell Lymphoma), both of which have been previously described. The NA-ACCORD collaborates with >20 longitudinal cohorts of adults (aged ≥ 18 years) with HIV in the United States and Canada. Within the NA-ACCORD cohort, we included patients with a validated incidental diagnosis of mature T and NK/TCL (n=52) or the most common A-BCLs including Burkitt's lymphoma (n=101), diffuse large B-cell lymphoma (DLBCL, n=500) and primary CNS lymphoma (PCNSL, n=64) between 1996 and 2016. COMPLETE is a prospective, multicenter cohort study of patients with newly diagnosed incidental mature TCLs in the United States between 2010 and 2014. Of the 452 eligible patients, 450 were included for analysis after exclusion of two patients with HIV infection. Patients were followed from diagnosis to the first of death, loss to follow-up or administrative censoring at 5 years. Kaplan-Meier and log-rank tests were used to estimate and compare survival. Results: At the time of TCL diagnosis, PWH were significantly younger than patients without HIV (PWoH) (49 years vs. 60 years respectively; p<0.001). PWH were predominantly men (96% vs. 63%; p<0.001), of white race (64% vs. 77%; p<0.006), with chronic kidney disease (19% vs. 2.2%; p<0.001) and with co-infections such as hepatitis B virus (13% vs. 0.9%; p<0.001) and hepatitis C virus (19% vs. 1.1%; p<0.001). Anaplastic large-cell lymphoma (ALCL, n=26) was the most common histological subtype within PWH relative to peripheral T-cell lymphoma-not otherwise specified (PTCL-NOS, n=143) among PWoH. More than 92% of the patients within the NA-ACCORD cohort were on at least one class of ART during their cohort enrollment period. Median duration of ART prior to lymphoma diagnosis was 2.9 years (0.7-9.4) and comparable for patients with TCLs and A-BCLs. The median time from NA-ACCORD cohort enrollment to lymphoma diagnosis was 2.3 years (IQR: 0.3-5.9 years) for TCLs and comparable for patients with the A-BCL subgroups (2.8 years, IQR: 0.6-7.2 years; p=0.21). At the end of the 5-year follow-up period, the survival probability since TCL diagnosis was markedly lower at 0.32 (95% confidence interval [CI]: 0.21-0.49) among PWH in contrast to 0.45 (95% CI: 0.41-0.51) for PWoH. Specifically, survival probability since ALCL diagnosis was distinctively lower at 0.23 (95% CI: 0.11-0.47) among PWH in contrast to 0.76 (95% CI: 0.66-0.87) for PWoH. Mortality following lymphoma diagnosis was elevated for PWH vs. PWoH even after adjusting for statistically significant baseline clinical characteristics such as age, race, and ALCL status in multivariate analysis (adjusted HR: 1.92; 95% CI: 1.27, 2.91). Among PWH with TCL, CD4 <200 and viral load (VL) >500 (n=10) was associated with a lower survival relative to those with counts >200 and/or VL <500 (n=12, p=0.031). Upon stratification of PWH into different calendar periods based on year of diagnosis (1996-1999 vs. 2000-2009 vs. 2010-2016), we observed an improvement in survival for all subgroups over time. Overall, among PWH, PCNSL had the worst median overall survival (3.8 months, 95% Cl: 2.0-7.2 months) followed by ALCL (10.6 months, 95% Cl: 2.1-33.4 months), DLBCL (15.6 months, 95% CI: 12.7-22.2 months) and Burkitt's lymphoma. Conclusions: Our report based on two large observational cohorts in North America highlights poor outcomes for TCLs among PWH compared to PWoH. In addition, within the PWH group, our study is the first to delineate inferior survival for patients with ALCLs relative to DLBCL and Burkitt's lymphoma accentuating the need for novel therapies. However, the overall prognosis for these lymphomas among PWH has improved in the last two decades, particularly among those with CD4>200, underscoring the impact of early and sustained ART. Disclosures Alonso: Merck: Research Funding. Foss: Kyowa: Honoraria; Acrotech: Honoraria, Speakers Bureau; Seattle Genetics: Honoraria, Speakers Bureau; Mallinckrodt: Honoraria; Daiichi Sankyo: Honoraria; Kura: Honoraria. Jain: Trillium Therapeutics, Inc: Research Funding; Acro Biotech, Inc: Research Funding; Abcuro, Inc: 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)0,002
score de la tête « metaresearch » (Gemma)0,004
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 enseignants0,006
Score d'incertitude au seuil0,013

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
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 Opus0,012
Tête enseignante GPT0,228
Écart entre enseignants0,216 · 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

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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