Evidence map›Paper›PMID 19811072›Full record

ReviewExpert review of proteomics2009

Urinary proteomic profiling for diagnostic bladder cancer biomarkers.

Steve Goodison, Charles J Rosser, Virginia Urquidi

Abstract readReview
In one paragraph

Review in Expert review of proteomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Liquid biopsy in bladder cancer: towards precision oncology.Journal of translational medicine · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. A candidate molecular biomarker panel for the detection of bladder cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2012
    Article
  9. Article
  10. 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

3 authors.

Steve GoodisonMD Anderson Cancer Center - Orlando, Cancer Research Institute, 6900 Lake Nona Boulevard, Orlando, FL 32827, USA. goodison.steve@gmail.com
Charles J Rosser
Virginia Urquidi

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 ability to detect and monitor bladder cancer in noninvasively obtained urine samples is a major goal. While a number of protein biomarkers have been identified and commercially developed, none have greatly improved the accuracy of sample evaluation over invasive cystoscopy. The ongoing development of high-throughput proteomic profiling technologies will facilitate the identification of molecular signatures that are associated with bladder disease. The appropriate use of these approaches has the potential to provide efficient biomarkers for the early detection and monitoring of recurrent bladder cancer. Identification of disease-associated proteins will also advance our knowledge of tumor biology, which, in turn, will enable development of targeted therapeutics aimed at reducing morbidity from bladder cancer. In this article, we focus on the accumulating proteomic signatures of urine in health and disease, and discuss expected future developments in this field of research.

Indexed as

ProteomicsBiomarkers, TumorHumansProteinuriaUrinary Bladder NeoplasmsBiomarkers, Tumor

Identifiers

PMID19811072
PMCPMC3422861

What OpenQuestion holds

Textmetadata
LicenceTDM
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.