Evidence map›Paper›PMID 35178674›Full record

ReviewCurrent treatment options in oncology2022

Advances in the Treatment of Hairy Cell Leukemia Variant.

Julie Tran, Charles Gaulin, Martin S Tallman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current treatment options in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Journal of hematology · 2023
    Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Julie TranUniversity of Arizona College of Medicine, 475 N 5th St, HSEB C536, Phoenix, AZ, 85004, USA. julietran@email.arizona.edu.ORCID http://orcid.org/0000-0001-6520-2832
Charles GaulinDivision of Hematology and Medical Oncology, Mayo Clinic, Phoenix, AZ, USA.
Martin S TallmanDepartment of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Mayo Clinic Hospital · USMemorial Sloan Kettering Cancer Center · USUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

opinion statementHairy cell leukemia variant (HCL-V) is a rare B cell lymphoproliferative disorder with a clinical-pathological distinction from the classic form of hairy cell leukemia (HCL-C). HCL-V is more aggressive in nature, has a higher tendency to be refractory to conventional purine analog pharmacotherapies, and leads to a poorer prognosis. Hence, these differing features bring paramount importance to the diagnosis and management of HCL-V. While there is no genetic mutation diagnostic of HCL-V, genetic profiling efforts have identified potential therapeutic targets (i.e., MAP2K1, KDM6A, CREBBP, ARID1A, CCND3, U2AF1, KMT2C) and yielded prognostic markers (i.e., IGHV4-34 rearrangements). To date, combination chemoimmunotherapies, such as cladribine and rituximab, have shown the best results in HCL-V. Future directions include targeted therapies such as moxetumomab pasudotox, ibrutinib, trametinib, and binimetinib and potentially anti-CD22 chimeric antigen receptor T cell therapy. The purpose of this review is to provide an outline of the diagnostic approach and an update on the therapeutic advancements in HCL-V.

Indexed as

Antineoplastic AgentsLeukemia, Hairy CellHumansImmunologic FactorsRituximabAntineoplastic AgentsImmunologic FactorsRituximabChemotherapyGenetic profileHairy cell leukemiaHairy cell leukemia variantTargeted therapy

Identifiers

PMID35178674
OpenAlexW4213263985

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.