Evidence map›Paper›PMID 39674366›Full record

ArticleThe Journal of molecular diagnostics : JMD2025

Clinical Implementation of a High-Throughput Automated Comprehensive Genomic Profiling Test: TruSight Oncology 500 HT.

Markus Ball, Eva Romanovsky, Fabian Schnecko, Martina Kirchner, Olaf Neumann, Regine Brandt, Susanne Beck, Huriye Seker-Cin, Klaus Kluck, Iordanis Ourailidis and 9 more

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 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

19 authors.

Markus BallInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; Translational Lung Research Center (TLRC) Heidelberg, Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
Eva RomanovskyInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Fabian SchneckoInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Martina KirchnerInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Olaf NeumannInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Regine BrandtInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Susanne BeckInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Huriye Seker-CinInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Klaus KluckInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Iordanis OurailidisInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Hannah GoldschmidInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Annette FinkInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Anna-Lena VolckmarInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Michael MenzelInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Michael AllgäuerInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Peter SchirmacherInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; Center for Personalized Medicine Heidelberg, Heidelberg, Germany; German Cancer Consortium, Heidelberg, Germany.
Jan BudcziesInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; Center for Personalized Medicine Heidelberg, Heidelberg, Germany; German Cancer Consortium, Heidelberg, Germany.
Albrecht StenzingerInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; Translational Lung Research Center (TLRC) Heidelberg, Member of the German Center for Lung Research (DZL), Heidelberg, Germany; Center for Personalized Medicine Heidelberg, Heidelberg, Germany; German Cancer Consortium, Heidelberg, Germany. Electronic address: albrecht.stenzinger@med.uni-heidelberg.de.
Daniel KazdalInstitute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; Translational Lung Research Center (TLRC) Heidelberg, Member of the German Center for Lung Research (DZL), Heidelberg, Germany; Center for Personalized Medicine Heidelberg, Heidelberg, Germany; German Cancer Consortium, Heidelberg, Germany. Electronic address: daniel.kazdal@med.uni-heidelberg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adoption of comprehensive genomic profiling in oncology has rapidly increased the demand for standardized tumor sample processing in diagnostic laboratories. Automation of DNA and RNA library preparation workflows offers the possibility to scale-up and standardize sample processing. We report on the clinical implementation of the automated TruSight Oncology 500 High-Throughput library preparation workflow from formalin-fixed, paraffin-embedded tumor samples using the Biomek i7 hybrid Workstation. Using the same input amount, the automated workflow was validated against manual library preparation. Quality control metrics (total and mapped reads, median insert size, and median exon coverage) and the detection of tumor mutational burden, a complex biomarker, were concordant between the manual and automated workflows. The automated workflow was implemented on a total of 2997 pan-cancer clinical samples to detect genomic variants and complex biomarkers. Workflow automation resulted in a 4-fold reduction in hands-on time and a 1.7-fold reduction in total runtime compared with manual library preparation (6 hours vs. 23 hours; 24 hours vs. 42.5 hours, respectively) for a 48 DNA + 48 RNA sample batch. The automated workflow required one technician versus three technicians to manually prepare the same number of libraries. This study shows that implementation of the automated TruSight Oncology 500 High-Throughput workflow significantly reduced hands-on time and processing time per sample compared with manual library preparation.

Indexed as

Gene Expression ProfilingGenomicsHigh-Throughput Nucleotide SequencingNeoplasmsBiomarkers, TumorGene LibraryHumansMutationWorkflowBiomarkers, Tumor

Identifiers

PMID39674366
PMCPMC12179514

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.