Evidence map›Paper›PMID 26576778›Full record

ArticleMolecular cancer2015

MicroRNA molecular profiling from matched tumor and bio-fluids in bladder cancer.

David A Armstrong, Benjamin B Green, John D Seigne, Alan R Schned, Carmen J Marsit

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 2 pooled it
8.6field-weighted citation impact, top 2% 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

102 citing papers in PubMed, 2 syntheses or guidelines pooled it, 196 citations in OpenAlex.

  1. Pooled it
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  11. MicroRNA expression profiling in tears and blood as predictive biomarkers for anti-VEGF treatment response in wet age-related macular degeneration.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article
  12. Bladder cancer: non-coding RNAs and exosomal non-coding RNAs.Functional & integrative genomics · 2024
    Review
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42 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

David A ArmstrongDepartments of Pharmacology and Toxicology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA. David.Armstrong@Dartmouth.edu.
Benjamin B GreenDepartments of Pharmacology and Toxicology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA. Benjamin.B.Green@Dartmouth.edu.
John D SeigneDepartment of Surgery (Urology), Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA. John.D.Seigne@Dartmouth.edu.
Alan R SchnedDepartment of Pathology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA. Alan.R.Schned@Dartmouth.edu.
Carmen J MarsitDepartments of Pharmacology and Toxicology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA. Carmen.J.Marsit@dartmouth.edu.
Dartmouth College · USDartmouth–Hitchcock Medical Center · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Training Program for Quantitative Population Sciences in CancerR25CA134286 · NCI · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA, TOSTESON, TOR D · 2009 to 2018
$3.0M
NCI NIH HHS P30 CA023108NCI NIH HHS R25 CA134286
6 · The paper itself

Abstract

backgroundMicroRNAs have been identified as potential cancer biomarkers due to their presence and stability in many body fluids including urine and plasma, but the relationship of the pattern of expression of these messengers across various biological media has not been addressed and could provide important information in order to translate these biomarkers for epidemiologic or clinical use.

methodsWe analyzed microRNA of matched FFPE-tumor tissue, plasma, urine exosomes (n = 16) and WBCs (n = 11) from patients with bladder cancer, using Nanostring miRNA assays and droplet digital PCR for validation. Pearson correlations were used to compare expression between media.

resultsNumerous microRNAs were detected and overlapping from specific bio-specimen sources. MiR-4454 and miR-21 overexpression was found in three sources: tumor, WBCs and urine. Additionally, miR-15b-5p, miR-126-3p, miR-93-5p, and miR-150-5p were common to tumor/WBCs, while miR-720/3007a, miR-205, miR-200c-3p and miR-29b-3p common to tumor/urine. Significant associations were noted between the log-adjusted average miRNA counts in tumor vs. WBCs (r = 0.418 p < 0.001), and tumor vs. urine (r = 0.38 p < 0.001). No association was seen tumor vs. plasma exosome miRs (r = 0.07 p = 0.06).

conclusionsMicroRNA profiling from matched samples in patients shows a significant number of microRNAs up regulated in bladder tumors are identifiable in urine exosomes and WBCs of the same patient, but not in blood plasma. This study demonstrated varying relationships between miRNA detected in biological media from the same patient, and serves to inform the potential of urine-based microRNAs as biomarkers for bladder cancer and potentially other malignancies.

Indexed as

AgedBiomarkers, TumorExosomesFemaleGene Expression Regulation, NeoplasticHumansMaleMicroRNAsMiddle AgedUrinary Bladder NeoplasmsBiomarkers, TumorMicroRNAsMIRN126 microRNA, human

Identifiers

PMID26576778
PMCPMC4650939
OpenAlexW2207322260

What OpenQuestion holds

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LicenceCC BY
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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.