Evidence map›Paper›PMID 40938919›Full record

ArticlePloS one2025

Analytical validation (accuracy, reproducibility, limit of detection) and gene expression analysis of FoundationOneRNA assay for fusion detection in 189 clinical tumor specimens.

Daokun Sun, Richard S P Huang, Michelle Green, Chenming Cui, Saumya D Sisoudiya, Andrej Savol, Chang Xu, Cui Guo, Joel Skoletsky, Justin M Allen and 10 more

Abstract readValidation Study
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Cancer genomic profiling predicts pathogenicity ofmedRxiv : the preprint server for health sciences · 2026
    Article
  2. LINE-1 retrotransposition is a recurrent cause ofbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. 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

20 authors.

Daokun SunFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Richard S P HuangFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Michelle GreenDepartment of Pathology, Duke University, Durham, North Carolina, United States of America.
Chenming CuiFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Saumya D SisoudiyaFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Andrej SavolFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Chang XuFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Cui GuoFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Joel SkoletskyFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Justin M AllenFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Khaled TolbaFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Varun PattaniFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Alyssa TarziaFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Jennifer WhitingFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Yanhua TangFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Lee A AlbackerFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Christine VietzFoundation Medicine, Inc., Boston, Massachusetts, United States of America.
Michael DattoDepartment of Pathology, Duke University, Durham, North Carolina, United States of America.
Jie HeFoundation Medicine, Inc., Boston, Massachusetts, United States of America.ORCID 0000-0002-1326-4166
William Richard JeckDepartment of Pathology, Duke University, Durham, North Carolina, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted DNA-based comprehensive genomic profiling (CGP) to detect clinically significant alterations is increasingly becoming standard for patients with advanced or recurrent cancer. RNA-based sequencing, however, may improve performance of fusion detection. We developed a robust targeted RNA sequencing assay (FoundationOne®RNA) and evaluated its analytic performance. FoundationOne®RNA is a hybrid-capture based targeted RNA sequencing test designed to optimally detect fusions (318 genes) and measure gene expression (1521 genes). Analytical validation studies were performed in College of American Pathologists (CAP)-accredited and Clinical Laboratory Improvement Amendments (CLIA)-certified lab to assess fusion call accuracy, assay reproducibility, limit of detection (LoD) and gene expression in 189 clinical solid tumor specimens. In the accuracy study, 160 out of 189 biopsy samples which were previously profiled using large-panel DNA- or RNA-based next-generation sequencing (NGS) passed quality control metrics and were studied using the FoundationOne®RNA assay. Analysis of all diagnostic fusions showed a positive percent agreement (PPA) of 98.28%, as well as a negative percent agreement (NPA) of 99.89% when compared to orthogonal assays. The FoundationOne®RNA assay was able to identify a low level BRAF fusion missed by orthogonal whole transcriptome RNA sequencing and was confirmed by fluorescence in situ hybridization (FISH). The range for the minimum RNA input and LoD was determined based on dilutions from 5 fusion-positive cell lines. It spans from 1.5ng (0.5% input) to 30ng (10% input) for RNA input and from 21 to 85 supporting reads for LoD. In the precision study, 10 out of 10 pre-defined target fusions had 100% reproducibility. In our gene expression analysis, multiple gene expression signatures were detected in fusion positive samples. FoundationOne®RNA assay successfully detected oncogenic fusions with high concordance to orthogonal NGS based tests, high reproducibility, and low limit of detection. This study demonstrated the robustness of FoundationOne®RNA and supports its use as a supplement to tissue DNA comprehensive genomic profiling (CGP) in routine clinical practice. Additional work is required to clarify optimal clinical scenarios for fusion detection and enable gene expression biomarkers for clinical use.

Indexed as

Gene Expression ProfilingNeoplasmsOncogene Proteins, FusionSequence Analysis, RNAHigh-Throughput Nucleotide SequencingHumansLimit of DetectionReproducibility of ResultsOncogene Proteins, Fusion

Identifiers

PMID40938919
PMCPMC12431237

What OpenQuestion holds

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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.