Evidence map›Paper›PMID 38506403›Full record

ArticleJournal of clinical laboratory analysis2024

Assessment of Bone Marrow Involvement in B-Cell non-Hodgkin Lymphoma Using Immunoglobulin Gene Rearrangement Analysis with Next-Generation Sequencing.

Min Ji Jeon, Eun Sang Yu, Dae Sik Kim, Chul Won Choi, Ha Nui Kim, Jung Ah Kwon, Soo-Young Yoon, Jung Yoon

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

8 authors at 2 institutions in 3 countries.

Min Ji JeonDivision of Hematology-Oncology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, South Korea.
Eun Sang YuDivision of Hematology-Oncology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, South Korea.
Dae Sik KimDivision of Hematology-Oncology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, South Korea.
Chul Won ChoiDivision of Hematology-Oncology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, South Korea.
Ha Nui KimDepartment of Laboratory Medicine, College of Medicine, Korea University Seoul, Seoul, South Korea.ORCID https://orcid.org/0000-0003-1928-7411
Jung Ah KwonDepartment of Laboratory Medicine, College of Medicine, Korea University Seoul, Seoul, South Korea.
Soo-Young YoonDepartment of Laboratory Medicine, College of Medicine, Korea University Seoul, Seoul, South Korea.
Jung YoonDepartment of Laboratory Medicine, College of Medicine, Korea University Seoul, Seoul, South Korea.
Korea University Medical Center · KRUniversity of Seoul · KR

Funding

Korea University Guro Hospital O2309421National Research Foundation of Korea 2022R1G1A1007629
6 · The paper itself

Abstract

backgroundAssessment of bone marrow involvement (BMI) in non-Hodgkin lymphoma (NHL) is crucial for determining patient prognosis and treatment strategy. We assessed the prognostic value of next-generation sequencing (NGS)-based immunoglobulin (Ig) gene clonality analysis as an ancillary test for BMI evaluation in NHL.

methodsA retrospective cohort of 124 patients newly diagnosed with B-cell NHL between 2019 and 2022 was included. NGS-based Ig clonality analysis was conducted using LymphoTrak IGH FR1 Assay and IGK Assay (Invivoscribe Technologies, San Diego, CA, USA) on BM aspirate samples, and the results were compared with those of histopathological BMI (hBMI).

resultsAmong the 124 patients, hBMI was detected in 16.9% (n = 21). The overall agreement of BMI between Ig clonality analyses and histopathological analysis for IGH, IGK, and either IGH or IGK was 86.3%, 92.7%, and 90.3%. The highest positive percent agreement was observed with clonal rearrangements of either IGH or IGK gene (90.5%), while the highest negative percent agreement was observed with clonal rearrangement of IGK gene (96.1%). For the prediction of hBMI, positive prediction value ranged between 59.1% and 80.0% and the negative prediction value ranged between 91.3% and 97.9%.

conclusionNGS-based clonality analysis is an analytic platform with a substantial overall agreement with histopathological analysis. Assessment of both IGH and IGK genes for the clonal rearrangement analysis could be considered for the optimal diagnostic performance of BMI detection in B-cell NHL.

Indexed as

Lymphoma, B-CellLymphoma, Non-HodgkinBone MarrowGenes, ImmunoglobulinHigh-Throughput Nucleotide SequencingHumansRetrospective Studiesbone marrow involvementimmunoglobulinlymphomaNGS

Identifiers

PMID38506403
PMCPMC10997812
OpenAlexW4393002748

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.