Evidence map›Paper›PMID 39714200›Full record

ArticleBiology open2024

Patient-matched tumours, plasma, and cell lines reveal tumour microenvironment- and cell culture-specific microRNAs.

Latasha Ludwig, Emma N Vanderboon, Heather Treleaven, R Darren Wood, Courtney R Schott, Geoffrey A Wood

Abstract read
In one paragraph

Article in Biology open, 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

6 authors.

Latasha LudwigDepartment of Pathobiology, University of Guelph, Guelph N1G 2W1, Canada.
Emma N VanderboonDepartment of Pathobiology, University of Guelph, Guelph N1G 2W1, Canada.
Heather TreleavenDepartment of Pathobiology, University of Guelph, Guelph N1G 2W1, Canada.
R Darren WoodDepartment of Pathobiology, University of Guelph, Guelph N1G 2W1, Canada.
Courtney R SchottDepartment of Pathobiology, University of Guelph, Guelph N1G 2W1, Canada.
Geoffrey A WoodDepartment of Pathobiology, University of Guelph, Guelph N1G 2W1, Canada.ORCID 0000-0003-1756-8607

Funding

University of Guelph
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small non-coding RNA molecules that are present in all cell types and bodily fluids and are commonly dysregulated in cancer. miRNAs in cancer have been studied by measuring levels in cell lines, tumour tissues, and in circulation; however, no study has specifically investigated miRNA expression in patient-matched samples across all three sample types. Canine osteosarcoma is a well-established spontaneously occurring model of human osteosarcoma for which matched samples are available. We analysed a panel of miRNAs by real-time quantitative PCR and compared across patients and sample types. While some miRNAs are highly expressed in all three sample types, tumour tissue and cell lines had the most in common. There were several miRNAs that were highly expressed in plasma and tumour tissue but not in cell lines and likely represent miRNAs produced in the tumour microenvironment. Two highly expressed miRNAs were exclusive to plasma and are known to be expressed in circulating cells. This study highlights the importance of considering sample type when studying miRNAs in cancer and demonstrates the power of using patient-matched samples.

Indexed as

Biomarkers, TumorGene Expression Regulation, NeoplasticMicroRNAsTumor MicroenvironmentAnimalsCell Line, TumorDogsGene Expression ProfilingHumansNeoplasmsOsteosarcomaBiomarkers, TumorMicroRNAsCell cultureMatched samplesMicroenvironmentMicroRNAsOsteosarcoma

Identifiers

PMID39714200
PMCPMC11695573

What Socratic 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 Socratic graph.