Evidence map›Paper›PMID 39495511›Full record

ArticleJAMA network open2024

Actionable Structural Variant Detection via RNA-NGS and DNA-NGS in Patients With Advanced Non-Small Cell Lung Cancer.

Dwight Owen, Rotem Ben-Shachar, Josephine Feliciano, Lisa Gai, Kyle A Beauchamp, Zachary Rivers, Adam J Hockenberry, Genelle Harrison, John Guittar, Catarina Catela and 7 more

Abstract readMulticenter Study
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  13. Improvement of Diagnostics in NSCLC Patients withInternational journal of molecular sciences · 2025
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  17. Molecular Characterization of NUT Carcinoma: A Report from the NUT Carcinoma Registry.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
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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

17 authors.

Dwight OwenOhio State University School of Medicine, Columbus.
Rotem Ben-ShacharTempus AI Inc, Chicago, Illinois.
Josephine FelicianoJohns Hopkins University School of Medicine, Baltimore, Maryland.
Lisa GaiTempus AI Inc, Chicago, Illinois.
Kyle A BeauchampTempus AI Inc, Chicago, Illinois.
Zachary RiversTempus AI Inc, Chicago, Illinois.
Adam J HockenberryTempus AI Inc, Chicago, Illinois.
Genelle HarrisonTempus AI Inc, Chicago, Illinois.
John GuittarTempus AI Inc, Chicago, Illinois.
Catarina CatelaTempus AI Inc, Chicago, Illinois.
Jerod ParsonsTempus AI Inc, Chicago, Illinois.
Ezra CohenTempus AI Inc, Chicago, Illinois.
Kate SasserTempus AI Inc, Chicago, Illinois.
Halla NimeiriTempus AI Inc, Chicago, Illinois.
Justin GuinneyTempus AI Inc, Chicago, Illinois.
Jyoti PatelNorthwestern University School of Medicine, Chicago, Illinois.
Daniel MorgenszternWashington University School of Medicine, St Louis, Missouri.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The National Comprehensive Cancer Network (NCCN) guidelines for non-small cell lung cancer suggest that RNA next-generation sequencing (NGS) may improve the detection of fusions and splicing variants compared with DNA-NGS alone. However, there is limited adoption of RNA-NGS in routine oncology clinical care today. Objective: To analyze clinical evidence from a diverse cohort of patients with advanced lung adenocarcinoma and compare the detection of NCCN-recommended actionable structural variants (aSVs; fusions and splicing variants) via concurrent DNA and RNA-NGS vs DNA-NGS alone. Design, Setting, and Participants: This multisite, retrospective cohort study examined patients sequenced between February 2021 and October 2023 within the deidentified, Tempus multimodal database, consisting of linked molecular and clinical data. Participants included patients with advanced lung adenocarcinoma and sufficient tissue sample quantities for both RNA-NGS and DNA-NGS testing. Exposures: Received results from RNA-NGS and DNA-NGS solid-tissue profiling assays. Main Outcomes and Measures: Detection rates of NCCN guideline-based structural variants (ALK, ROS1, RET and NTRK1/2/3 fusions, as well as MET exon 14 skipping splicing alterations) found uniquely by RNA-NGS. Results: In the evaluable cohort of 5570 patients, median (IQR) age was 67.8 (61.3-75.4) years, and 2989 patients (53.7%) were female. The prevalence of actionable structural variants detected by either RNA-NGS or DNA-NGS was 8.8% (n = 491), with 86.7% (n = 426) of these detected by DNA-NGS. Concurrent RNA-NGS and DNA-NGS identified 15.3% more patients harboring aSVs compared with DNA-NGS alone (491 vs 426 patients, respectively), including 14.3% more patients harboring actionable fusions (376 vs 329 patients) and 18.6% more patients harboring MET exon 14 skipping alterations (115 vs 97 patients). There was no significant association between the assay used for aSV detection and aSV-targeted therapeutic adoption or clinical outcome. Emerging structural variants (eSVs) were found to have a combined prevalence to be 0.7%, with only 47.5% of eSVs detected by DNA-NGS. Conclusions and Relevance: In this cohort study, the detection of structural variants via concurrent RNA-NGS and DNA-NGS was higher across multiple NCCN-guideline recommended biomarkers compared with DNA-NGS alone, suggesting that RNA-NGS should be routinely implemented in the care of patients with advanced NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungHigh-Throughput Nucleotide SequencingLung NeoplasmsAgedFemaleHumansMaleMiddle AgedRetrospective StudiesSequence Analysis, DNASequence Analysis, RNA

Identifiers

PMID39495511
PMCPMC11536281

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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.