Evidence map›Paper›PMID 34012513›Full record

ArticleOncotarget2021

Transcriptome analyses of urine RNA reveal tumor markers for human bladder cancer: validated amplicons for RT-qPCR-based detection.

Josephine Dubois, Jacqueline Rueger, Bernhard Haubold, Rosel Kretschmer-Kazemi Far, Georg Sczakiel

Abstract read
In one paragraph

Article in Oncotarget, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. S100A6 Protein-Expression and Function in Norm and Pathology.International journal of molecular sciences · 2023
    Review
  5. Review
  6. Article
  7. 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

5 authors.

Josephine DuboisInstitut für Molekulare Medizin, Universität zu Lübeck and UKSH, Campus Lübeck, Lübeck D-23538, Germany.
Jacqueline RuegerInstitut für Molekulare Medizin, Universität zu Lübeck and UKSH, Campus Lübeck, Lübeck D-23538, Germany.
Bernhard HauboldMax-Planck-Institute for Evolutionary Biology, Department of Evolutionary Genetics, Ploen 24306, Germany.
Rosel Kretschmer-Kazemi FarInstitut für Molekulare Medizin, Universität zu Lübeck and UKSH, Campus Lübeck, Lübeck D-23538, Germany.
Georg SczakielInstitut für Molekulare Medizin, Universität zu Lübeck and UKSH, Campus Lübeck, Lübeck D-23538, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-invasive clinical diagnostics of bladder cancer is feasible via a set of chemically distinct molecules including macromolecular tumor markers such as polypeptides and nucleic acids. In terms of tumor-related aberrant gene expression, RNA transcripts are the primary indicator of tumor-specific gene expression as for polypeptides and their metabolic products occur subsequently. Thus, in case of bladder cancer, urine RNA represents an early potentially useful diagnostic marker. Here we describe a systematic deep transcriptome analysis of representative pools of urine RNA collected from healthy donors versus bladder cancer patients according to established SOPs. This analysis revealed RNA marker candidates reflecting coding sequences, non-coding sequences, and circular RNAs. Next, we designed and validated PCR amplicons for a set of novel marker candidates and tested them in human bladder cancer cell lines. We identified linear and circular transcripts of the S100 Calcium Binding Protein 6 (S100A6) and translocation associated membrane protein 1 (TRAM1) as highly promising potential tumor markers. This work strongly suggests exploiting urine RNAs as diagnostic markers of bladder cancer and it suggests specific novel markers. Further, this study describes an entry into the tumor-biology of bladder cancer and the development of gene-targeted therapeutic drugs.

Indexed as

biomarkernon-invasivetranscriptome analysistumor diagnosticsurine RNA

Identifiers

PMID34012513
PMCPMC8121610

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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.