Evidence map›Paper›PMID 40114932›Full record

ArticleTranslational lung cancer research2025

Rapid detection of non-small cell lung cancer driver mutations using droplet digital polymerase chain reaction analysis of bronchial washings: a prospective multicenter study.

Kohei Somekawa, Nobuaki Kobayashi, Satoshi Nagaoka, Kenichi Seki, Yukihito Kajita, Suguru Muraoka, Ami Izawa, Ayami Kaneko, Yukiko Otsu, Momo Hirata and 11 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

21 authors.

Kohei SomekawaDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Nobuaki KobayashiDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.ORCID https://orcid.org/0000-0002-7064-320X
Satoshi NagaokaRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Kenichi SekiRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Yukihito KajitaDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Suguru MuraokaDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Ami IzawaDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Ayami KanekoDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Yukiko OtsuDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Momo HirataDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Sousuke KuboDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Ryo NagasawaDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Kota MurohashiDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Hiroaki FujiDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Shuhei TeranishiRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Ken TashiroRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Keisuke WatanabeDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Nobuyuki HoritaDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Yu HaraDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Makoto KudoRespiratory Disease Center, Yokohama City University Medical Center, Yokohama, Japan.
Takeshi KanekoDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Molecular profiling of non-small cell lung cancer (NSCLC) is crucial for personalized treatment, but obtaining adequate tumor tissue can be challenging. This study evaluated the utility of droplet digital polymerase chain reaction (ddPCR) analysis of bronchial washings (BWs) and serum for detecting driver oncogene mutations in NSCLC patients, comparing its performance to standard tissue genotyping methods. Methods: In this prospective, multicenter study conducted at two university hospitals in Yokohama, Japan, 73 treatment-naïve NSCLC patients underwent bronchoscopy with BW collection and blood sampling between October 2022 and April 2024. ddPCR was performed on BW and serum samples to detect epidermal growth factor receptor (EGFR; L858R, exon 19 deletions, G719X), KRAS (G12/13), and BRAF (V600E) mutations. Results were compared with standard tissue genotyping methods, including AmoyDx and Oncomine Dx Target Test (DxTT) assays. Turnaround time (TAT) for results was also assessed. The study protocol was approved by the institutional review boards, and all participants provided informed consent. Results: ddPCR analysis of BW samples showed high concordance with tissue genotyping, detecting EGFR mutations in 31.5% of cases (identical to tissue). For common EGFR mutations (L858R and exon 19 deletions), BW genotyping demonstrated 100% sensitivity and 98.0% specificity compared to tissue. TAT was significantly shorter for BW ddPCR compared to tissue genotyping (4.4±1.8 Conclusions: ddPCR analysis of BWs demonstrates high accuracy and rapid TAT for detecting common driver mutations in NSCLC. This approach represents a promising alternative to tissue biopsy for molecular profiling, potentially expediting treatment decisions. While serum ddPCR showed limited utility, it may complement tissue genotyping in specific clinical scenarios.

Indexed as

bronchial washings (BWs)droplet digital polymerase chain reaction (ddPCR)liquid biopsymolecular profilingNon-small cell lung cancer (NSCLC)

Identifiers

PMID40114932
PMCPMC11921443

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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.