Evidence map›Paper›PMID 39595976›Full record

ArticleInternational journal of molecular sciences2024

Discovery of RNA Biomarkers for Prostate Cancer Using Cross-Platform Transcriptomics.

Wieke C H Visser, Hans de Jong, Frank P Smit, Jolly Shrivastava, Jason C Poole, William P J Leenders, Willem J G Melchers, Peter F A Mulders, Jack A Schalken

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Wieke C H VisserDepartment of Product Development, Mdxhealth BV, 6534 AT Nijmegen, The Netherlands.ORCID 0000-0002-2400-7915
Hans de JongDepartment of Product Development, Mdxhealth BV, 6534 AT Nijmegen, The Netherlands.ORCID 0000-0001-6559-6659
Frank P SmitDepartment of Product Development, Mdxhealth BV, 6534 AT Nijmegen, The Netherlands.
Jolly ShrivastavaDepartment of Product Development, Mdxhealth, Irvine, CA 92618, USA.
Jason C PooleDepartment of Product Development, Mdxhealth, Irvine, CA 92618, USA.
William P J LeendersPredica Diagnostics, 6525 ED Nijmegen, The Netherlands.
Willem J G MelchersDepartment of Product Development, Mdxhealth BV, 6534 AT Nijmegen, The Netherlands.ORCID 0000-0002-5446-2230
Peter F A MuldersDepartment of Urology, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.
Jack A SchalkenDepartment of Urology, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microarray and Single-Molecule Molecular Inversion Probe (smMIP)-based targeted RNA sequencing are two RNA profiling platforms for identifying disease-associated biomarkers. The microarray uses a GeneChip array with oligonucleotide probes to measure expression levels across thousands of genes, while smMIPs capture and quantify RNA transcripts and transcript variants via next-generation sequencing. To evaluate the strengths and weaknesses of both platforms, a comparative gene expression profiling study was conducted using RNA samples from 52 prostate tissues (normal, benign prostatic hyperplasia (BPH) and various prostate cancer (PCa) grades). Of all genes covered by both platforms, only 35% of the expression levels aligned, with 45% showing discrepancies. Both platforms identified the same 17 genes as potential PCa biomarkers. Microarray analysis identified an additional 253 genes that were not covered or not identified by smMIP technology, while smMIP technology identified eight markers not covered or not identified in the microarray core gene analysis, including fusion genes and splice variants. For high-grade prostate cancer (HG-PCa), the smMIP-method identified 8 markers, and the microarray identified 17 markers, with

Indexed as

Biomarkers, TumorGene Expression ProfilingProstatic NeoplasmsGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMaleOligonucleotide Array Sequence AnalysisProstatic HyperplasiaRNASequence Analysis, RNATranscriptomeBiomarkers, TumorRNAbiomarkersgene expression profilingmicroarrayprostate cancer (PCa)single-molecule molecular inversion probes (smMIPs)

Identifiers

PMID39595976
PMCPMC11593515

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.