Evidence map›Paper›PMID 40340691›Full record

ArticleBMC cancer2025

Development and application of a whole transcriptome sequencing assay for the detection of gene fusions in clinical cancer specimens.

Songchen Zhao, Xinhua Du, Yan Zhang, Jing Bai, Lu Meng, Xuefei Li, Jiaxin Ma, HeYu Sheng, Xiaorui Fu, Yanfang Guan and 6 more

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

16 authors.

Songchen ZhaoDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Xinhua DuGeneplus-Beijing Institute, Beijing, China.
Yan ZhangGeneplus-Beijing Institute, Beijing, China.
Jing BaiGeneplus-Beijing Institute, Beijing, China.
Lu MengGeneplus-Beijing Institute, Beijing, China.
Xuefei LiDepartment of Lung Cancer and Immunology, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.
Jiaxin MaGeneplus-Beijing Institute, Beijing, China.
HeYu ShengGeneplus-Beijing Institute, Beijing, China.
Xiaorui FuGeneplus-Beijing Institute, Beijing, China.
Yanfang GuanGeneplus-Beijing Institute, Beijing, China.
Yuting YiGeneplus-Beijing Institute, Beijing, China.
Ling YangGeneplus-Beijing Institute, Beijing, China.
Xuefeng XiaGeneplus-Beijing Institute, Beijing, China.
Xin YiGeneplus-Beijing Institute, Beijing, China.
Xinxin TanGeneplus-Shenzhen Clinical Laboratory, Shenzhen, Guangdong, China. tanxx@geneplus.org.cn.
Caicun ZhouDepartment of Medical Oncology, Shanghai East Hospital, Shanghai, China. caicunzhoudr@163.com.

Funding

National Natural Science Foundation of China 82141101Shanghai Municipal Health Commission 2020CXJQ02Shanghai Pulmonary Hospital fkcx2303
6 · The paper itself

Abstract

backgroundGene fusions are an important driver of cancer and require rapid and accurate detection to guide clinical decisions. However, the performance characteristics of whole transcriptome sequencing (WTS) for the detection of gene fusions have not been thoroughly investigated.

methodsWe developed a novel WTS-based assay for the detection of gene fusions, MET exon 14 skipping and EGFR VIII alterations in clinical samples.

resultsWe defined a DV200 value ≥ 30% as the threshold for RNA degradation, RNA input, fusion expression and number of mapped reads greater than 100 ng, 40 copies/ng and 80 Mb for optimal sensitivity of the WTS assay. Our assay successfully identified 62 out of 63 known gene fusions, achieving a sensitivity of 98.4%. The specificity of the assay was 100%, as no fusions were detected in the 21 fusion-negative samples. Good repeatability and reproducibility were observed in replicates, except for the TPM3::NTRK1 fusion, which was expressed below the threshold. Of all fusions identified in 101 NSCLC samples, 68.9% (20/29) were potentially actionable, compared to 20% in pan-cancer samples. In addition to actionable fusions, we also identified many fusions with potential diagnostic and prognostic value in pan-cancer.

conclusionsWe have developed a novel WTS assay with high sensitivity, specificity, repeatability and reproducibility. This assay can identify potentially actionable gene fusions and provides valuable insights into the fusion landscape in various cancers, which may help guide treatment decisions and aid in diagnosis and prognosis.

Indexed as

Carcinoma, Non-Small-Cell LungGene FusionLung NeoplasmsNeoplasmsOncogene Proteins, FusionTranscriptomeBiomarkers, TumorErbB ReceptorsFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansProto-Oncogene Proteins c-metReproducibility of ResultsSensitivity and SpecificityBiomarkers, TumorEGFR protein, humanErbB ReceptorsMET protein, humanOncogene Proteins, FusionProto-Oncogene Proteins c-metActionable fusionsCancer specimensGene fusionsWTS assay

Identifiers

PMID40340691
PMCPMC12063385

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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.