Evidence map›Paper›PMID 34513100›Full record

ArticleCase reports in hematology2021

Intermediate between Idiopathic Hypereosinophilia and Chronic Eosinophilic Leukemia: A Report of Two Hypereosinophilic Cases with Possible Novel Molecular Mutations.

Jui Choudhuri, Mohammad Eskandari, Yang Shi, Yanhua Wang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Case reports in hematology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Jui ChoudhuriDepartment of Pathology, Montefiore Medical Center/Albert Einstein College of Medicine, 111 East 210 Street, Bronx 10467, NY, USA.
Mohammad EskandariDepartment of Pathology, Altru Health System, 1200 S. Columbia Rd., Grand Forks 58201, ND, USA.
Yang ShiDepartment of Pathology, Montefiore Medical Center/Albert Einstein College of Medicine, 111 East 210 Street, Bronx 10467, NY, USA.
Yanhua WangDepartment of Pathology, Montefiore Medical Center/Albert Einstein College of Medicine, 111 East 210 Street, Bronx 10467, NY, USA.ORCID https://orcid.org/0000-0002-7946-2843
Albert Einstein College of Medicine · USAltru Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To distinguish a reactive eosinophilia from its malignant counterpart is challenging. Establishing clonality of the eosinophils is crucial and considered the determining factor for establishing a diagnosis. Cases of hypereosinophilia without clear reactive etiologies, no evidence of end-organ damage, normal cytogenetics, and no molecular mutations are termed as "Idiopathic Hypereosinophilia (IHE)." For cases which lie between the spectrum of chronic eosinophilic leukemia (CEL) and IHE, identification of underlying molecular abnormalities might be helpful in better understanding the disease process and prognosis. Here, we report two cases of hypereosinophilia in which five possible novel molecular mutations were identified by targeted next-generation sequencing (NGS) analysis. They were FBXW7, KM2A, TCF3, ERBB4, and MET. With multiple genetic mutations, these cases could be classified as chronic eosinophilic leukemia. Both these young patients responded well to steroid therapy. While targeted NGS is a useful tool in identifying new molecular mutation associated with hypereosinophilia, our cases raise the question of further investigating this entity and if there is a possibility of an intermediate category lying between the spectrum of CEL and IHE. Defining hypereosinophilia with clonal molecular abnormality as a malignant process may need to be revisited. Even though attempts are being made to identify mutations in IHE, it might be more significant clinically to differentiate them based on response to steroid therapy and prognosis.

Identifiers

PMID34513100
PMCPMC8426067
OpenAlexW3196759724

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Registered trials

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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.