Evidence map›Paper›PMID 29088303›Full record

ArticlePloS one2017

Idiopathic hypereosinophilia is clonal disorder? Clonality identified by targeted sequencing.

Jee-Soo Lee, Heewon Seo, Kyongok Im, Si Nae Park, Sung-Min Kim, Eun Kyoung Lee, Jung-Ah Kim, Joon-Hee Lee, Sunghoon Kwon, Miyoung Kim and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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  11. Evaluation of hypereosinophilia in a case ofCold Spring Harbor molecular case studies · 2023
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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

17 authors at 4 institutions in 1 country.

Jee-Soo LeeDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Heewon SeoDivision of Biomedical Informatics, Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Republic of Korea.
Kyongok ImCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Si Nae ParkCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Sung-Min KimCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Eun Kyoung LeeCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Jung-Ah KimDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Joon-Hee LeeDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Sunghoon KwonDepartment of Electrical Engineering, Seoul National University, Seoul, Republic of Korea.
Miyoung KimDepartment of Laboratory Medicine, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea.
Insong KohDepartment of Physiology, College of Medicine, Hanyang University, Seoul, Republic of Korea.
Seungwoo HwangKorean Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.
Heung-Woo ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hye-Ryun KangDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Kyoung Soo ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ju Han KimDivision of Biomedical Informatics, Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Republic of Korea.
Dong Soon LeeDepartment of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Seoul National University · KRHallym University Sacred Heart Hospital · KRHanyang University · KRKorea Research Institute of Bioscience and Biotechnology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic hypereosinophilia (IHE)/idiopathic hypereosinophilic syndrome (IHES) has been defined by a persistent elevation of the blood eosinophil count exceeding 1.5×103/μL, without evidence of reactive or clonal causes. While T-cell clonality assessment has been recommended for unexplained hypereosinophilia, this approach is not often applied to routine practice in the clinic. We hypothesized that the clonality would exist in a subset of IHE/IHES patients. We aimed to investigate the candidate mutations and T-cell clonality in IHE/IHES and to explore the role of mutations in eosinophil proliferation. We performed targeted capture sequencing for 88 genes using next-generation sequencing, T-cell receptor (TCR) gene rearrangement assays, and pathway network analysis in relation to eosinophil proliferation. By targeted sequencing, 140 variants in 59 genes were identified. Sixteen out of 30 patients (53.3%) harbored at least one candidate mutation. The most frequently affected genes were NOTCH1 (26.7%), SCRIB and STAG2 (16.7%), and SH2B3 (13.3%). Network analysis revealed that our 21 candidate genes (BIRC3, BRD4, CSF3R, DNMT3A, EGR2, EZH2, FAT4, FLT3, GATA2, IKZF, JAK2, MAPK1, MPL, NF1, NOTCH1, PTEN, RB1, RUNX1, TET2, TP53 and WT1) are functionally linked to the eosinophilopoietic pathway. Among the 21 candidate genes, five genes (MAPK1, RUNX1, GATA2, NOTCH1 and TP53) with the highest number of linkages were considered major genes. A TCR assay revealed that four patients (13.3%) had a clonal TCR rearrangement. NOTCH1 was the most frequently mutated gene and was shown to be a common node for eosinophilopoiesis in our network analysis, while the possibility of hidden T cell malignancy was indwelling in the presence of NOTCH1 mutation, though not revealed by aberrant T cell study. Collectively, these results provide new evidence that mutations affecting eosinophilopoiesis underlie a subset of IHE/IHES, and the candidate genes are inferred to act their potential roles in the eosinophilopoietic pathway.

Indexed as

Clone CellsAdultAgedFemaleHigh-Throughput Nucleotide SequencingHumansHypereosinophilic SyndromeIn Situ Hybridization, FluorescenceMaleMiddle AgedMutationReceptors, Antigen, T-CellReceptors, Antigen, T-Cell

Identifiers

PMID29088303
PMCPMC5663336
OpenAlexW2765662469

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.