Evidence map›Paper›PMID 40526875›Full record

ArticleJCO precision oncology2025

Costs and Benefits of Whole-Exome, Whole-Transcriptome Sequencing in Patients With Advanced Non-Small Cell Lung Cancer.

Jesse D Ortendahl, Gebra Cuyun Carter, Snehal G Thakkar, Katalin Bognar, David W Hall, Yara Abdou, David Gandara

Abstract read
In one paragraph

Article in JCO precision oncology, 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. Article
  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

7 authors.

Jesse D OrtendahlStratevi LLC, Boston, MA.ORCID 0009-0002-6808-8267
Gebra Cuyun CarterExact Sciences Corporation, Madison, WI.ORCID 0000-0002-6549-0069
Snehal G ThakkarExact Sciences Corporation, Madison, WI.
Katalin BognarPartnership for Health Analytic Research (PHAR), LLC, Beverly Hills, CA.ORCID 0000-0001-8357-8569
David W HallExact Sciences Corporation, Madison, WI.ORCID 0000-0001-7708-6656
Yara AbdouUniversity of North Carolina, Chapel Hill, NC.ORCID 0000-0002-4827-8613
David GandaraUC Davis Comprehensive Cancer Center, Davis, CA.ORCID 0000-0003-1784-048X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWith an increase in approved targeted therapies for non-small cell lung cancer (NSCLC), tumor profiling that maximizes identification of patients eligible for these treatments is essential. In this study, we compare testing approaches for newly diagnosed advanced or metastatic NSCLC.

methodsAn economic model was developed to estimate the annual costs and clinical outcomes associated with testing alternatives. Patients were assigned alterations on the basis of rates observed in published literature. Treatment approaches included no genomic testing; sequential single-gene testing; or a whole-exome, whole-transcriptome (WES/WTS) comprehensive genomic profiling to inform use of targeted therapies. The budget impact and survival implications of WES/WTS were compared head to head with the other testing approaches, and uncertainty was assessed in sensitivity analyses. In scenario analyses, tests that incorporate both DNA and RNA were compared with tests using DNA sequencing alone when assuming the prevalence of fusions that can only be identified by RNA ranged from 2.5% to 14%.

resultsCompared with no testing, WES/WTS reduced costs by $8,809 in US dollars (USD) per patient tested while increasing median overall survival by an average of 3.9 months. When compared with sequential single-gene testing, use of WES/WTS decreased costs by $14,602 (USD) per patient and had a minimal survival benefit. A test that included both RNA and DNA sequencing reduced costs by $400-$1,724 (USD) and increased identification of actionable alterations by 2.3%-13.0% across the range of fusion prevalence.

conclusionUse of WES/WTS improved clinical outcomes while reducing costs. These findings should be considered when choosing between tumor profiling approaches.

Indexed as

Carcinoma, Non-Small-Cell LungCost-Benefit AnalysisExome SequencingGene Expression ProfilingLung NeoplasmsHumansModels, EconomicTranscriptome

Identifiers

PMID40526875
PMCPMC12184969

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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.