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Record 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 on 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

Bibliographic record

VenueLeukemia · 2024
Typeletter
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsKingston Health Sciences CentreQueen's UniversityUniversity of AlbertaUniversity of ManitobaCancerCare Manitoba
FundersUniversità 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
KeywordsHairy cell leukemiaLeukemiaMedicinePathologyBiologyImmunology

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.275
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0010.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.294
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations14
Published2024
Admission routes2
Has abstractyes

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