Evidence map›Paper›PMID 27863434›Full record

ArticleOncotarget2016

A microRNA biomarker panel for the non-invasive detection of bladder cancer.

Virginia Urquidi, Mandy Netherton, Evan Gomes-Giacoia, Daniel J Serie, Jeanette Eckel-Passow, Charles J Rosser, Steve Goodison

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. The Role of Novel Bladder Cancer Diagnostic and Surveillance Biomarkers-What Should a Urologist Really Know?International journal of environmental research and public health · 2022
    Review
  9. Review
  10. Review
  11. Review
  12. Targets and regulation of microRNA-652-3p in homoeostasis and disease.Journal of molecular medicine (Berlin, Germany) · 2021
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Biomarkers in Bladder Cancer Surveillance.Frontiers in surgery · 2021
    Review
  19. Article
  20. 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

7 authors.

Virginia UrquidiNonagen Bioscience Corporation, Jacksonville, FL, USA.
Mandy NethertonCancer Research Institute, MD Anderson Cancer Center, Orlando, FL, USA.
Evan Gomes-GiacoiaCancer Research Institute, MD Anderson Cancer Center, Orlando, FL, USA.
Daniel J SerieDepartment of Health Sciences Research, Mayo Clinic, Jacksonville, FL USA.
Jeanette Eckel-PassowDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN USA.
Charles J RosserNonagen Bioscience Corporation, Jacksonville, FL, USA.
Steve GoodisonNonagen Bioscience Corporation, Jacksonville, FL, USA.

Funding

Towards a non-invasive molecular test for bladder cancerR01CA116161 · NCI · UNIVERSITY OF FLORIDA · PI GOODISON, STEVE · 2007 to 2019
$2.9M
Development of molecular assays for non-invasive bladder cancer detectionR44CA173921 · NCI · NONAGEN BIOSCIENCE CORPORATION · PI GOODISON, STEVE · 2013 to 2015
$2.0M
NCI NIH HHS R01 CA116161NCI NIH HHS R44 CA173921
6 · The paper itself

Abstract

The development of accurate, non-invasive urinary assays for bladder cancer would greatly facilitate the detection and management of a disease that has a high rate of recurrence and progression. In this study, we employed a discovery and validation strategy to identify microRNA signatures that can perform as a non-invasive bladder cancer diagnostic assay. Expression profiling of 754 human microRNAs (TaqMan low density arrays) was performed on naturally voided urine samples from a cohort of 85 subjects of known bladder disease status (27 with active BCa). A panel of 46 microRNAs significantly associated with bladder cancer were subsequently monitored in an independent cohort of 121 subjects (61 with active BCa) using quantitative real-time PCR (RT-PCR). Multivariable modeling identified a 25-target diagnostic signature that predicted the presence of BCa with an estimated sensitivity of 87% at a specificity of 100% (AUC 0.982). With additional validation, the monitoring of a urinary microRNA biomarker panel could facilitate the non-invasive evaluation of patients under investigation for BCa.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorFemaleHumansMaleMicroRNAsMiddle AgedReal-Time Polymerase Chain ReactionUrinary Bladder NeoplasmsBiomarkers, TumorMicroRNAsbladder cancerdiagnostic biomarkersmicroRNAmultiplexurinalysis

Identifiers

PMID27863434
PMCPMC5349914

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.