Evidence map›Paper›PMID 41234574›Full record

ArticleTranslational lung cancer research2025

Feasibility of next-generation sequencing using bronchoscopic specimens in potentially resectable non-small cell lung cancer.

Kaito Yano, Yuji Matsumoto, Hideaki Furuse, Keigo Uchimura, Tatsuya Imabayashi, Keisuke Asakura, Takaaki Tsuchida

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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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kaito YanoDepartment of Endoscopy, Respiratory Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8013-6981
Yuji MatsumotoDepartment of Endoscopy, Respiratory Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0003-0646-858X
Hideaki FuruseDepartment of Endoscopy, Respiratory Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9327-5155
Keigo UchimuraDepartment of Endoscopy, Respiratory Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0001-6379-9583
Tatsuya ImabayashiDepartment of Endoscopy, Respiratory Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6343-5306
Keisuke AsakuraDivision of Thoracic Surgery, Department of Surgery, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4491-3456
Takaaki TsuchidaDepartment of Endoscopy, Respiratory Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4878-1956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With advances in multimodal treatment, the importance of identifying biomarkers by bronchoscopy has increased, even in potentially resectable non-small cell lung cancer (NSCLC). However, it remains unclear whether next-generation sequencing (NGS) using bronchoscopic specimens is as useful in potentially resectable NSCLC as in unresectable cases. The objective of this study was to evaluate the feasibility of performing NGS using bronchoscopic specimens obtained from patients with potentially resectable NSCLC. Methods: The patients diagnosed with NSCLC via bronchoscopy at National Cancer Center Hospital who underwent NGS were retrospectively analyzed. We allocated all N0-2 and M0 and N3 and/or M1 cases to the potentially resectable and unresectable groups, respectively. Patients were divided into three subgroups according to the target: endobronchial, peri-tracheal/bronchial, and lung lesions. The NGS analytical success rates for potentially resectable NSCLC were compared with unresectable cases for each subgroup to investigate the feasibility of NGS-targeted bronchoscopy. Results: Among the 644 patients, 184 had potentially resectable disease, and 460 had unresectable disease. The overall NGS analytical success rate was significantly lower in the potentially resectable group than in unresectable group (81.0% Conclusions: The overall rate of successful NGS analysis using bronchoscopic specimens were lower in potentially resectable NSCLC cases, especially in lung lesions. To improve NGS feasibility, it is important to adequately harvest lung lesions and prioritize targeting endobronchial or peri-tracheal/bronchial lesions.

Indexed as

Bronchoscopynext-generation sequencing (NGS)non-small cell lung cancer (NSCLC)potentially resectableunresectable

Identifiers

PMID41234574
PMCPMC12605578

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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.