Evidence map›Paper›PMID 40247220›Full record

ArticleBMC cancer2025

Real-world application of targeted next-generation sequencing for identifying molecular variants in Asian non-small-cell lung cancer.

Fang-Yu Wang, Yi-Chen Yeh, Shin-Ying Lin, Shu-Ying Wang, Paul Chih-Hsueh Chen, Teh-Ying Chou, Hsiang-Ling Ho

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Real-world prevalence of actionable genomic alterations detected by next-generation sequencing in non-small cell lung cancer: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  6. Review
  7. Article
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

7 authors.

Fang-Yu WangDepartment of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Yi-Chen YehDepartment of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Shin-Ying LinDepartment of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Shu-Ying WangDepartment of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Paul Chih-Hsueh ChenDepartment of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Teh-Ying ChouDepartment of Pathology and Precision Medicine Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
Hsiang-Ling HoDepartment of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, 201, Section 2, Shipai Road, Taipei, 11217, Taiwan. hlho5@vghtpe.gov.tw.

Funding

National Science and Technology Council NSTC112-2320-B-075-003-MY2Taipei Veterans General Hospital, Taiwan V113EP-002
6 · The paper itself

Abstract

backgroundThe advent of novel therapeutic agents has advanced biomarker characterization in non-small-cell lung cancer (NSCLC), driving increased adoption of next-generation sequencing (NGS) technologies for molecular testing. However, comprehensive data addressing the clinical utility of different NGS platforms for NSCLC remains limited.

methodsThis retrospective study analyzed real-world data from 478 Taiwanese NSCLC patients over five years, using the Oncomine Focus Assay (OFA) to assess genetic alterations. The evaluation focused on assay accuracy, limit of detection (LoD), sequencing performance, and the genetic landscape of NSCLC.

resultsThe OFA achieved an NGS success rate of 80.5% (385/478), with tumor cell percentage, specimen source and FFPE block age identified as key factors affecting success. Quality metrics demonstrated robust sequencing performance, including 97.0 ± 9.6% on-target alignment, 94.7 ± 6.4% uniformity, and ≥ 500 × coverage for 98.0 ± 6.6% of amplicons. Among the 385 patients analyzed, 86.8% (334/385) were found to harbor pathogenic or likely pathogenic variants, of which 78.4% (262/334) were SNVs/Indels, 41.6% (139/334) were CNVs, 2.7% (9/334) were exon skipping alterations, and 10.2% (34/334) were gene fusions. Actionable driver mutations included EGFR mutations (46.2%, 178/385), KRAS mutations (9.4%, 36/385), ERBB2 mutations (6.8%, 26/385), ALK fusions (4.4%, 17/385), MET exon 14 skipping (2.3%, 9/385), BRAF mutations (2.3%, 9/385), ROS1 and RET fusions (1.8%, 7/385 each), and NTRK1 fusions (0.5%, 2/385). Notably, KRAS G12 C mutation was detected in 2.8% (11/385) of cases.

conclusionsThis study demonstrates the robust performance of the OFA in identifying clinically relevant genetic alterations in NSCLC. The findings support its clinical utility in precision oncology and provide valuable insights into the genetic landscape of Asian NSCLC, enhancing personalized treatment strategies for lung cancer patients.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungEast Asian PeopleHigh-Throughput Nucleotide SequencingLung NeoplasmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedMutationRetrospective StudiesTaiwanBiomarkers, TumorActionable driver mutationsNon-small-cell lung cancerReal-world applicationTargeted next-generation sequencing

Identifiers

PMID40247220
PMCPMC12004552

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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.