Evidence map›Paper›PMID 42248549›Full record

ArticleThe Journal of molecular diagnostics : JMD2026

Pitfalls in Detecting MET Exon 14 Skipping Variants by DNA- and RNA-Based Next-Generation Sequencing Technologies in a Large Real-World Cohort and Results of the First Multinational External Quality Assessment Schemes.

Carina Heydt, Michaela A Ihle, Katharina Ilm, Jan Rehker, Peony Poon, Janna Siemanowski-Hrach, Roberto Pappesch, Svenja Wagener-Ryczek, Christoph Jonas, Jana Fassunke and 5 more

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Carina HeydtInstitute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany. Electronic address: carina.heydt@uk-koeln.de.
Michaela A IhleInstitute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Katharina IlmQualitätssicherungs-Initiative Pathologie (QuIP-Quality in Pathology) GmbH, Berlin, Germany; Institute of Pathology, School of Medicine and Health, Technical University Munich, Munich, Germany.
Jan RehkerInstitute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Peony PoonInstitute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Janna Siemanowski-HrachInstitute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Roberto PappeschInstitute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Svenja Wagener-RyczekInstitute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Christoph JonasInstitute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Jana FassunkeInstitute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Richard RiedelCenter for Integrated Oncology, Department I of Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany; Lung Cancer Group Cologne, Cologne, Germany.
Anne M SchultheisInstitute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany; Institute for Surgical Pathology, Medical Centre-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Reinhard BuettnerInstitute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Sabine Merkelbach-BruseInstitute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Udo SieboltsInstitute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MET exon 14 skipping mutations in non-small-cell lung cancer (NSCLC) are important biomarkers for targeted therapy, making accurate detection essential. This study analyzed 379 NSCLCs with mutations in MET exon 14 and adjacent splice sites using DNA- and RNA-based next-generation sequencing (NGS). The 379 samples contained 171 distinct mutations around MET exon 14, highlighting the diversity; 114 mutations were analyzed with a DNA- and an RNA-based NGS assay. Two large deletions and one synonymous splice variant causing exon 14 skipping were only detected by RNA-based NGS. Seven single-nucleotide variations in MET exon 14 did not induce skipping. A total of 57 variants could not be analyzed by RNA-based NGS because of insufficient material or RNA quality; among them, 18 were previously reported as skipping mutations, 30 were splice-site insertions/deletions, and 9 remained unclassified. Additionally, data from the first multinational external quality assessment schemes for MET exon 14 skipping mutation testing in formalin-fixed, paraffin-embedded tissue and liquid biopsies, organized by the lead panel institute and Quality in Pathology GmbH, are presented. High success rates (98%) for tissue are shown, whereas liquid biopsy tests had lower rates (37.5% in 2022, and 63% in 2024), primarily because of low allelic fractions and intronic deletions. This study highlights the importance of analyzing both DNA and RNA, urging improvements in sensitivity, coverage, and bioinformatics.

Indexed as

Carcinoma, Non-Small-Cell LungExonsHigh-Throughput Nucleotide SequencingLung NeoplasmsProto-Oncogene Proteins c-metDNA Mutational AnalysisHumansMutationMET protein, humanProto-Oncogene Proteins c-met

Identifiers

PMID42248549
PMCPMC13494073

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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.