Evidence map›Paper›PMID 25090088›Full record

ReviewExpert review of molecular diagnostics2014

Tissue slide-based microRNA characterization of tumors: how detailed could diagnosis become for cancer medicine?

Lorenzo F Sempere

Abstract readReview
In one paragraph

Review in Expert review of molecular diagnostics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. MiR-194 promotes hepatocellular carcinoma through negative regulation of CADM1.International journal of clinical and experimental pathology · 2020
    Article
  9. Review
  10. MicroRNA amplification and detection technologies: opportunities and challenges for point of care diagnostics.Laboratory investigation; a journal of technical methods and pathology · 2019
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

1 author.

Lorenzo F SempereLaboratory of microRNA Diagnostics and Therapeutics, Van Andel Research Institute, 333 Bostwick Ave, N.E, Grand Rapids, MI 49503, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

miRNAs are short, non-coding, regulatory RNAs that exert cell type-dependent, context-dependent, transcriptome-wide gene expression control under physiological and pathological conditions. Tissue slide-based assays provide qualitative (tumor compartment) and semi-quantitative (expression levels) information about altered miRNA expression at single-cell resolution in clinical tumor specimens. Reviewed here are key technological advances in the last 5 years that have led to implementation of fully automated, robust and reproducible tissue slide-based assays for in situ miRNA detection on US FDA-approved instruments; recent tissue slide-based discovery studies that suggest potential clinical applications of specific miRNAs in cancer medicine are highlighted; and the challenges in bringing tissue slide-based miRNA assays into the clinic are discussed, including clinical validation, biomarker performance, biomarker space and integration with other biomarkers.

Indexed as

Biomarkers, TumorGene Expression ProfilingHigh-Throughput Screening AssaysHumansMicroRNAsMolecular Diagnostic TechniquesNeoplasmsOligonucleotide Array Sequence AnalysisParaffin EmbeddingBiomarkers, TumorMicroRNAsbiomarkercontextual informationdiagnosticsformalin-fixed paraffin-embedded tissuesin situ hybridizationlocked nucleic acidmiRmiRNAmultiplex assay

Identifiers

PMID25090088
PMCPMC4364265

What OpenQuestion holds

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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.