Evidence map›Paper›PMID 37732488›Full record

ArticleCancer medicine2023

Comparison of the slow-pull and aspiration methods of endobronchial ultrasound-guided transbronchial needle aspiration for next-generation sequencing-compatible tissue collection in non-small cell lung cancer.

Yukihito Kajita, Shuhei Teranishi, Tomoe Sawazumi, Haruka Watanabe, Satoshi Nagaoka, Anna Tanaka, Yuichirou Suzukawa, Yuto Motobayashi, Tomofumi Hirose, Chihiro Maeda and 7 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. 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
1.3field-weighted citation impact, top 18% 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, 5 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

17 authors at 2 institutions in 1 country.

Yukihito KajitaRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Shuhei TeranishiRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.ORCID 0000-0003-2365-144X
Tomoe SawazumiDivision of Pathology, Yokohama City University Medical Center, Yokohama, Japan.ORCID 0000-0002-2427-2399
Haruka WatanabeRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Satoshi NagaokaRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Anna TanakaRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Yuichirou SuzukawaRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Yuto MotobayashiRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Tomofumi HiroseRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Chihiro MaedaRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Kenichi SekiRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Ken TashiroRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Nobuaki KobayashiDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Masaki YamamotoRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Makoto KudoRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Yoshiaki InayamaDivision of Pathology, Yokohama City University Medical Center, Yokohama, Japan.
Takeshi KanekoDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Yokohama City University Medical Center · JPYokohama City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonalized treatment for non-small cell lung cancer (NSCLC) has advanced rapidly, and elucidating the genetic changes that trigger this disease is crucial for appropriate treatment selection. Both slow-pull and aspiration methods of endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) are accepted methods for collecting samples suitable for next-generation sequencing (NGS) to examine driver gene mutations and translocations in NSCLC. Here, we aimed to determine which of these two methods is superior for obtaining higher-quality samples from patients with NSCLC.

methodsSeventy-one patients diagnosed with NSCLC via EBUS-TBNA using the slow-pull or aspiration (20-mL negative pressure) methods between July 2019 and September 2022 were included. A total of 203 tissue samples from the 71 patients were fixed in formalin, embedded in paraffin, and mounted on slides. The presence of tissue cores, degree of blood contamination, and number of tumor cells were compared between the groups. The success rate of NGS, using Oncomine Dx Target Test Multi-CDx, was also compared between the groups.

resultsThe slow-pull method was associated with a higher yield of tissue cores, lower degree of blood contamination, and higher number of tumor cells than the aspiration method. The success rate of the NGS was also significantly higher for the slow-pull group (95%) than for the aspiration group (68%).

conclusionOverall, these findings suggest that the slow-pull method is a superior technique for EBUS-TBNA to obtain high-quality tissue samples for NGS. The slow-pull method may contribute to the identification of driver gene mutations and translocations and facilitate personalized treatment of NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsEndoscopic Ultrasound-Guided Fine Needle AspirationHigh-Throughput Nucleotide SequencingHumansMutationclinical cancer researchnext generation sequencingnon small cell lung canceroncogenestarget therapy

Identifiers

PMID37732488
PMCPMC10587950
OpenAlexW4386909894

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.