Evidence map›Paper›PMID 27231851›Full record

Trial reportOncotarget2016

Urinary mRNA biomarker panel for the detection of urothelial carcinoma.

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

Open access · diamondAbstract readClinical Trial, Phase II
In one paragraph

Trial report in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Review
  6. Urinary microRNA and mRNA in Tumors.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Deep Sequencing of Urinary RNAs for Bladder Cancer Molecular Diagnostics.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    Article
  16. Article
  17. Article
  18. 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 at 3 institutions in 1 country.

Virginia UrquidiCancer Research Institute, MD Anderson Cancer Center, Orlando, 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 SerieDepartment of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA.
Jeanette Eckel-PassowDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Charles J RosserUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
Steve GoodisonDepartment of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA.
Mayo Clinic in Florida · USUniversity of Hawaiʻi at Mānoa · USWinnMed · US

Funding

Towards a non-invasive molecular test for bladder cancerR01CA116161 · NCI · UNIVERSITY OF FLORIDA · PI GOODISON, STEVE · 2007 to 2019
$2.9M
NCI NIH HHS R01 CA116161
6 · The paper itself

Abstract

The early detection of bladder cancer is important as the disease has a high rate of recurrence and progression. The development of accurate, non-invasive urinary assays would greatly facilitate detection. In previous studies, we have reported the discovery and initial validation of mRNA biomarkers that may be applicable in this context. In this study, we evaluated the diagnostic performance of proposed molecular signatures in an independent cohort.Forty-four mRNA transcripts were monitored blindly in urine samples obtained from a cohort of 196 subjects with known bladder disease status (89 with active BCa) using quantitative real-time PCR (RT-PCR). Statistical analyses defined associations of individual biomarkers with clinical data and the performance of predictive multivariate models was assessed using ROC curves. The majority of the candidate mRNA targets were confirmed as being associated with the presence of BCa over other clinical variables. Multivariate models identified an optimal 18-gene diagnostic signature that predicted the presence of BCa with a sensitivity of 85% and a specificity of 88% (AUC 0.935). Analysis of mRNA signatures in naturally micturated urine samples can provide valuable information for the evaluation of patients under investigation for BCa. Additional refinement and validation of promising multi-target signatures will support the development of accurate assays for the non-invasive detection and monitoring of BCa.

Indexed as

AdultAgedAged, 80 and overArea Under CurveBiomarkers, TumorCarcinomaCase-Control StudiesDNA, ComplementaryFemaleHumansMaleMicroRNAsMiddle AgedMultivariate AnalysisRetrospective StudiesROC CurveBiomarkers, TumorDNA, ComplementaryMicroRNAsbladder cancerdiagnostic biomarkersmultiplexnon-invasiveurinalysis

Identifiers

PMID27231851
PMCPMC5122424
OpenAlexW2400269006

What OpenQuestion 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 OpenQuestion graph.