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Enregistrement W4399459365 · doi:10.1038/s41375-024-02280-0

Hairy cell leukemia variant and WHO classification correspondence Re: 5th edition WHO classification haematolymphoid tumors: lymphoid neoplasms

2024· letter· en· W4399459365 sur OpenAlexafffund
Michael R. Grever, Leslie A. Andritsos, Mirela Anghelina, Evgeny Arons, Versha Banerji, Jacqueline C. Barrientos, Seema A. Bhat, James S. Blachly, Alessandro Broccoli, Timothy G. Call, Claire Dearden, Sascha Dietrich, Monica Else, Narendranath Epperla, Andrei Fagarasanu, Brunangelo Falini, Francesco Forconi, Alessandro Gozzetti, Paul J. Hampel, David J. Hermel, Sunil Iyengar, James B. Johnston, Gunnar Juliusson, Robert J. Kreitman, F. Lauria, Gerard Lozanski, Christopher C. Oakes, Sameer A. Parikh, Jae H. Park, Graeme Quest, R. Kanti, Farhad Ravandi, Tadeusz Robak, Kerry A. Rogers, Alan Saven, John F. Seymour, Tamar Tadmor, Martin S. Tallman, Constantine S. Tam, Enrico Tiacci, Xavier Troussard, Bernhard Wörmann, Clive S. Zent, Thorsten Zenz, Pier Luigi Zinzani

Notice bibliographique

RevueLeukemia · 2024
Typeletter
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensKingston Health Sciences CentreQueen's UniversityUniversity of AlbertaUniversity of ManitobaCancerCare Manitoba
Organismes subventionnairesUniversità degli Studi di PerugiaMedical Center, University of RochesterSkånes universitetssjukhusUniversität ZürichUniwersytet ŁódzkiOhio State UniversityQueen's UniversityMonash UniversityUniversity of SouthamptonPeter MacCallum Cancer CentreUniversità degli Studi di SienaUniversity of AlbertaNorthwell HealthLunds UniversitetNational Cancer InstituteUniversity of RochesterUniversity of Texas MD Anderson Cancer CenterNorthwestern UniversityMemorial Sloan-Kettering Cancer Center
Mots-clésHairy cell leukemiaLeukemiaMedicinePathologyBiologyImmunology

Résumé

récupéré en direct d'OpenAlex

In 2022, Alaggio and colleagues revised the WHO Classification of Haematolymphoid Tumors resulting in elimination of the provisional diagnostic categories of Hairy Cell Leukemia Variant (HCLv) and B Prolymphocytic Leukemia [ 1 ]. A new diagnostic category Splenic B Cell Lymphoma/Leukemia with Prominent Nucleoli (SBL/LPN) was established to include both cases of HCLv and the very rare CD5 (-) B Cell Prolymphocytic Leukemia (B-PLL). While some other cases of splenic lymphoma might also be included, the ultimate goal to delineate biologically-defined entities may improve therapy of these often over-lapping clinical diseases. Coupland and colleagues recently provided a comprehensive assessment of the potential therapeutic opportunities that might emerge from reorganizing the classification of these clinical entities to a system incorporating evidence-based disease information [ 2 ]. As an international group of experts in the field of HCL and HCLv, we are concerned that this reassignment of patients with HCLv to a category including other rare B cell malignancies may impair the identification of new specific targeted therapeutic strategies that are urgently needed. While HCLv is not a homogenous clinical entity and lacks a single pathognomic molecular test, subsets of this disease have specific molecular targets that can serve as potential therapeutic opportunities for improved outcome. Discerning the oncogenetic mechanisms and targets will necessitate extensive collaboration and work between clinicians and basic scientists to optimize the therapeutic benefit from a revised classification. Tremendous progress has been made in the treatment of classic hairy cell leukemia (HCLc) over the past six decades [ 3 ]. The introduction of purine nucleoside analogs and newer targeted agents improved survival in HCLc from slightly more than 4 years following diagnosis to projected survival close to normal life span. In contrast, patients with the distinct rare entity previously called “hairy cell leukemia variant (HCLv)” have a more aggressive clinical course with poorer response to therapies. This entity was initially described by Cawley in 1980, and subsequently major biological and clinical differences were identified between the classic and the variant forms of this disease. Patients with HCLc present with pancytopenia, splenomegaly, monocytopenia, and a marked increased risk for serious infection. In contrast, patients with HCLv present with splenomegaly, elevated peripheral leukemic cells with nucleoli, and no monocytopenia [ 3 , 4 ]. Both entities have an unexplained male predominance with HCLc being more common than the rare HCLv. There are both distinguishing immunophenotypic and immunocytochemical (e.g., Annexin A1 is expressed in HCLc, but not in HCLv) profiles that differentiate these two clinical entities. Response to purine analogs is also different between these two conditions. HCLc patients initially treated with a purine nucleoside analog show excellent response [ 3 ]. Patients with HCLv treated with purine analog alone are much less responsive. Durable remissions require the combination of cladribine plus rituximab [ 5 ]. The clinical course of patients with HCLv is more aggressive than HCLc with projected survival of approximately 6–9 years [ 4 , 5 ]. For patients with HCLc who either relapse or do not respond, the documentation of the BRAF V600E mutation affords an opportunity to rescue the patient with a BRAF inhibitor plus an anti-CD20 mAb [ 6 ]. Unfortunately, the BRAF V600E mutation is not found in patients with HCLv [ 4 ]. Therefore, this rescue option is not available for patients with the variant if they either fail to respond or relapse. Extensive investigation of leukemic cells from patients with HCLv have revealed many of the molecular abnormalities that make this less responsive and more aggressive. In HCLv, approximately 30-38% of patients have an abnormal p53 either as a result of deletion or mutation [ 4 , 5 ]. Additional mutations in leukemic cells show abnormalities in signaling pathways that may afford opportunities for strategic intervention. Mutations in MAP2K1 found in less than half of the patients enabled the use of a MEK inhibitor to effectively control the aggressive phase of HCLv following failure to respond to multiple agents [ 7 ]. A currently open phase 2 trial of the MEK inhibitor binimetinib (NCT04322383) allows HCLv patients to receive an anti-CD20 mAb if needed to eliminate minimal residual disease if and when complete remission is achieved. Exploration of new agents alone and in combination in treating patients with HCLv should be pursued. Introduction of BTK inhibitors has produced responses in patients who have been previously heavily-pretreated with standard agents [ 8 ]. Considering the prevalence of p53 abnormalities in patients with HCLv, incorporation of BTK inhibitors may afford an opportunity to achieve a response in resistant disease. Likewise, BCL-2 inhibitors (e.g., venetoclax) may play an increasing role in managing these resistant patients. Early reports indicate that venetoclax has promise as an active agent in relapsed/resistant HCL patients [ 9 , 10 ]. Determining the optimal agents to use in combination (e.g. which mAb would be more effective) has led to studies incorporating obinutuzumab along with other novel mechanistic anti-leukemic agents. In the process of exploring novel agents and combinations in treating HCLv, inter-institutional collaboration will be necessary to evaluate new targeted therapy for such rare lymphoma subsets. In the past, a randomized intergroup study evaluated front-line therapy with pentostatin versus alpha-interferon. This study enrolled 356 previously untreated patients in less than 4 years. So, large studies are potentially feasible with inter-institutional collaboration. International collaboration through the Hairy Cell Leukemia Foundation could also be utilized to recruit a sufficient number of patients to address research questions targeting the development of effective therapeutic regimens. In order to develop targeted therapy for rare clinical entities (e.g., HCLv), it will be important to design studies that enroll well-characterized patients. Therefore, the new classification of patients with HCLv with other B cell lymphoproliferative malignancies may introduce different clinical conditions that may complicate interpretation of efficacy. Elucidation of molecular targets in patient material and the pharmacodynamic impact of treatment will be important in evaluating the efficacy of novel therapy. In order to improve therapy for HCLv in the near future, we will need to track patients with this rare entity and not lose important clinical information as a result of this recent change in the WHO disease classification.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMéta-épidémiologie (sens strict), Intégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,275
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0040,005
Charge utile insuffisante (le modèle a refusé de juger)0,0010,002

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 Opus0,035
Tête enseignante GPT0,294
Écart entre enseignants0,259 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations14
Publié2024
Routes d'admission2
Résumé présentoui

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