Evidence map›Paper›PMID 40749152›Full record

ArticleJCO precision oncology2025

Enhanced Detection of Druggable Mutations in Non-Small Cell Lung Cancer Using Targeted Collection of Bronchial Washing Fluid Compared With Plasma and Tumor Tissue.

Mi-Hyun Kim, Soo Han Kim, Hayoung Seong, Jung Seop Eom

Abstract readComparative Study
In one paragraph

Article in JCO precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. The role of stem cells in precision medicine: next-generation cancer treatment.Journal of the Egyptian National Cancer Institute · 2025
    Review
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.

Mi-Hyun KimDepartment of Internal Medicine, Pusan National University School of Medicine, Busan, Republic of Korea.ORCID 0000-0002-6527-6804
Soo Han KimDepartment of Internal Medicine, Pusan National University School of Medicine, Busan, Republic of Korea.
Hayoung SeongDepartment of Internal Medicine, Pusan National University School of Medicine, Busan, Republic of Korea.
Jung Seop EomDepartment of Internal Medicine, Pusan National University School of Medicine, Busan, Republic of Korea.ORCID 0000-0002-0832-1314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNext-generation sequencing (NGS) has become the gold standard for the molecular testing of patients with non-small cell lung cancer (NSCLC). This prospective study evaluated the performance of NGS using cell-free tumor DNA (ctDNA) extracted from bronchial washing fluid (BWF) collected via a targeted washing technique to detect druggable mutations. MATERIALS AND

methodsAll study participants simultaneously underwent NGS using three sample types: (1) BWF, (2) plasma, and (3) tumor tissue collected during bronchoscopy. The full patient set (FPS) included all enrolled patients, whereas the analysis intent group (AIG) included patients who underwent successful NGS across all specimen types (BWF, plasma, and tissue).

resultsSixty and 50 patients were included in the FPS and AIG groups, respectively. In FPS, the detection rate of druggable mutations in BWF using NGS was 65%, which was significantly higher than that of plasma (47%) and tissue samples (48%;

conclusionNGS using ctDNA from BWF obtained through a targeted washing technique is a feasible and reliable method for genomic profiling of NSCLC, providing a promising approach for identifying druggable mutations.

Indexed as

Bronchoalveolar Lavage FluidCarcinoma, Non-Small-Cell LungCirculating Tumor DNALung NeoplasmsMutationAdultAgedAged, 80 and overFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedProspective StudiesCirculating Tumor DNA

Identifiers

PMID40749152
PMCPMC12316170

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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.