Evidence map›Paper›PMID 36230659›Full record

ArticleCancers2022

Transcriptome-Wide Gene Expression Profiles from FFPE Materials Based on a Nuclease Protection Assay Reveals Significantly Different Patterns between Synovial Sarcomas and Morphologic Mimickers.

Sabrina Borchert, Thomas Herold, Stavros Kalbourtzis, Rainer Hamacher, Yvonne Krause, Sophia Berger, Wiebke K Guder, Arne Streitbuerger, Jendrik Hardes, Moritz Goetz and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

12 authors at 3 institutions in 1 country.

Sabrina BorchertInstitute of Pathology, University Hospital Essen, Hufelandstraße 55, D-45147 Essen, Germany.ORCID 0000-0002-0447-3206
Thomas HeroldInstitute of Pathology, University Hospital Essen, Hufelandstraße 55, D-45147 Essen, Germany.
Stavros KalbourtzisInstitute of Pathology, University Hospital Essen, Hufelandstraße 55, D-45147 Essen, Germany.
Rainer HamacherGerman Cancer Consortium (DKTK), Partner Site University Hospital Essen, D-45147 Essen, Germany.
Yvonne KrauseInstitute of Pathology, University Hospital Essen, Hufelandstraße 55, D-45147 Essen, Germany.
Sophia BergerInstitute of Pathology, University Hospital Essen, Hufelandstraße 55, D-45147 Essen, Germany.
Wiebke K GuderGerman Cancer Consortium (DKTK), Partner Site University Hospital Essen, D-45147 Essen, Germany.ORCID 0000-0001-9367-7130
Arne StreitbuergerGerman Cancer Consortium (DKTK), Partner Site University Hospital Essen, D-45147 Essen, Germany.
Jendrik HardesGerman Cancer Consortium (DKTK), Partner Site University Hospital Essen, D-45147 Essen, Germany.
Moritz GoetzCenter of Pathology, Cytology and Molecular Pathology, D-41462 Neuss, Germany.
Sebastian BauerGerman Cancer Consortium (DKTK), Partner Site University Hospital Essen, D-45147 Essen, Germany.
Hans-Ulrich SchildhausInstitute of Pathology, University Hospital Essen, Hufelandstraße 55, D-45147 Essen, Germany.ORCID 0000-0002-9856-7050
Essen University Hospital · DE3M (Germany) · DEUniversity Hospital Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTranscriptome profiling provides large data on tumor biology, which is particularly valuable in translational research and is becoming more and more important for clinical decision-making as well. RNA sequencing is considered to be the gold standard for this. However, FFPE material, as the most available material in routine pathology, has been an undefeatable obstacle for RNAseq. Extraction-free nuclease protection assays have the potential to be a reliable alternative method for large-scale expression profiling. The aim of this study was to validate and test the basic feasibility, technical applicability robustness, and reliability of the HTG transcriptome profiling (HTP) assay on clinical tumor samples.

methodsFFPE samples from 44 synovial sarcomas (SyS) and 20 spindle cell sarcomas (SpcS) were used. The HTP assay was performed on 10 µm thin FFPE slides. After nuclease protection in the HTG Edge Seq System, libraries were generated for sequencing on an Illumina NextSeq 500 platform. Fastq data were parsed and then analyzed by using the HTG analysis platform EdgeSeq REVEAL. Immunohistochemistry was performed to validate the expression of TLE1.

resultsThe technical application of the HTP Panel revealed robust and reliable results with 62 samples, and only 2 samples failed due to an incomplete digestion of gDNA. The analysis, performed at the analysis platform REVEAL, showed 5964 genes being significantly differentially expressed between SpcS and SyS. In particular, overexpression of the known marker TLE1 in synovial sarcoma could be recovered, which underlines the reliability of this system. DISCUSSION: Transcriptome profiling gets more and more important for tumor research and diagnostics. Among other established technologies, the HTP Panel has shown to be a feasible method to get robust and reliable results. Thereby, this method needs very few sample-input by getting a success-rate of 96.88%, which indicates the upper average range, compared to other technologies working with FFPE tissue.

conclusionThe nuclease protection assay-based HTP Panel is a feasible method for adequate transcriptome profiling with low sample input and therefore is suitable for further research of biomarkers.

Indexed as

biomarkerextraction-free RNA workflowFFPEHTG EdgeSeqnuclease protection assaytranscriptome profiling

Identifiers

PMID36230659
PMCPMC9563597
OpenAlexW4297522368

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.