Evidence map›Paper›PMID 34873224›Full record

ArticleScientific reports2021

Combined detection of lymphocyte clonality and MALT1 translocations in bronchoalveolar lavage fluid for diagnosing pulmonary lymphomas.

Takashi Kido, Hiroshi Ishimoto, Hiroshi Ishii, Kanako Hara, Mutsumi Ozasa, Hiroki Kawabata, Toshinori Kawanami, Yu Suzuki, Hiroki Yoshikawa, Atsuko Hara and 9 more

Open access · goldAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

19 authors at 6 institutions in 1 country.

Takashi KidoDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan. t-kido@nagasaki-u.ac.jp.
Hiroshi IshimotoDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Hiroshi IshiiDepartment of Respiratory Medicine, Fukuoka University Hospital, Fukuoka, Japan.
Kanako HaraDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Mutsumi OzasaDepartment of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1, Sakamoto, Nagasaki, 852-8501, Japan.
Hiroki KawabataDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Toshinori KawanamiDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Yu SuzukiDepartment of Respiratory Medicine, Kokura Memorial Hospital, Kitakyushu, Japan.
Hiroki YoshikawaDepartment of Respiratory Medicine and Infectious Disease, Faculty of Medicine, Oita University, Yufu, Japan.
Atsuko HaraDepartment of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1, Sakamoto, Nagasaki, 852-8501, Japan.
Noriho SakamotoDepartment of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1, Sakamoto, Nagasaki, 852-8501, Japan.
Nobuhiro MatsumotoNeurology, Respirology, Endocrinology and Metabolism, Internal Medicine, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.
Chiharu YoshiiDepartment of Respiratory Medicine, Wakamatsu Hospital of the University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Junya FukuokaDepartment of Pathology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Masaki FujitaDepartment of Respiratory Medicine, Fukuoka University Hospital, Fukuoka, Japan.
Masamitsu NakazatoNeurology, Respirology, Endocrinology and Metabolism, Internal Medicine, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.
Junichi KadotaDepartment of Respiratory Medicine and Infectious Disease, Faculty of Medicine, Oita University, Yufu, Japan.
Hiroshi MukaeDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Kazuhiro YateraDepartment of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
University of Occupational and Environmental Health Japan · JPNagasaki University · JPFukuoka University Hospital · JPOita University · JPUniversity of Miyazaki · JPKokura Memorial Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of pulmonary lymphoma using small tissue samples is difficult and often requires surgical procedures; thus, a less invasive sampling method is desirable. We previously showed that pulmonary mucosa-associated lymphoid tissue (MALT) lymphoma can be diagnosed by detecting MALT lymphoma translocation gene 1 (MALT1) translocations in bronchoalveolar lavage fluid (BALF) cells. Analysis of B-cell clonality based on immunoglobulin heavy chain (IGH) gene rearrangements was also reportedly useful for diagnosing pulmonary lymphoma. The aim of this prospective multicenter study was to evaluate the yet unknown diagnostic potential of combined detection of MALT1 translocations and clonality using BALF. We analyzed B- and T-cell clonality based on IGH and T-cell receptor (TCR) rearrangements together with MALT1 translocations using BALF of patients with clinically suspected pulmonary lymphomas. In total, 39 patients were evaluated and categorized into three groups: B-cell lymphoma, lymphoproliferative disorders, and other diseases. IGH rearrangement detection for B-cell lymphoma diagnosis exhibited sensitivity and specificity of 88.9% and 90.0%, respectively. TCR rearrangements were not observed in patients with B-cell lymphomas. The presence of IGH rearrangements together with the absence of TCR rearrangements indicated 96.0% specificity for the diagnosis of B-cell lymphoma. The sensitivity and specificity of MALT1 translocations for diagnosing MALT lymphoma were 28.6% and 100%, respectively. The combined detection of lymphocyte clonality and MALT1 translocations using BALF is suitable for screening and diagnosis of B-cell lymphomas. Analysis of specific genes such as MALT1 should improve the precision of B-cell lymphoma diagnosis.

Indexed as

Bronchoalveolar Lavage FluidAdultAgedAged, 80 and overChromosome AberrationsFemaleGene RearrangementHumansImmunoglobulinsLung NeoplasmsLymphocytesLymphomaLymphoma, B-Cell, Marginal ZoneMaleMiddle AgedMucosa-Associated Lymphoid Tissue Lymphoma Translocation 1 ProteinImmunoglobulinsMALT1 protein, humanMucosa-Associated Lymphoid Tissue Lymphoma Translocation 1 ProteinOncogene Proteins, Fusion

Identifiers

PMID34873224
PMCPMC8648835
OpenAlexW4200623991

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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.