Evidence map›Paper›PMID 37016361›Full record

ArticleBMC medicine2023

Comprehensive proteomics and platform validation of urinary biomarkers for bladder cancer diagnosis and staging.

Kamala Vanarsa, Jessica Castillo, Long Wang, Kyung Hyun Lee, Claudia Pedroza, Yair Lotan, Chandra Mohan

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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 4 institutions in 2 countries.

Kamala Vanarsa *Department Biomedical Engineering, University of Houston, 3517 Cullen Blvd., Room 2027, Houston, TX, 77204-5060, USA.
Jessica Castillo *Department Biomedical Engineering, University of Houston, 3517 Cullen Blvd., Room 2027, Houston, TX, 77204-5060, USA.
Long Wang *Department of Urology, Third Xiangya Hospital of Central South University, Changsha, China.
Kyung Hyun LeeCenter for Clinical Research and Evidence-Based Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA.
Claudia PedrozaCenter for Clinical Research and Evidence-Based Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA.
Yair Lotan *Department of Urology, UT Southwestern Medical Center, Dallas, TX, USA.
Chandra Mohan *Department Biomedical Engineering, University of Houston, 3517 Cullen Blvd., Room 2027, Houston, TX, 77204-5060, USA. cmohan@central.uh.edu.
University of Houston · USThe University of Texas Health Science Center at Houston · USCentral South University · CNSouthwestern Medical Center

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBladder cancer (BC) is among the most common cancers diagnosed in men in the USA. The current gold standards for the diagnosis of BC are invasive or lack the sensitivity to correctly identify the disease.

methodsAn aptamer-based screen analyzed the expression of 1317 proteins in BC compared to urology clinic controls. The top hits were subjected to systems biology analyses. Next, 30 urine proteins were ELISA-validated in an independent cohort of 68 subjects. Three of these proteins were next validated in an independent BC cohort of differing ethnicity.

resultsSystems biology analysis implicated molecular functions related to the extracellular matrix, collagen, integrin, heparin, and transmembrane tyrosine kinase signaling in BC susceptibility, with HNF4A and NFKB1 emerging as key molecular regulators. STEM analysis of the dysregulated pathways implicated a functional role for the immune system, complement, and interleukins in BC disease progression. Of 21 urine proteins that discriminated BC from urology clinic controls (UC), urine D-dimer displayed the highest accuracy (0.96) and sensitivity of 97%. Furthermore, 8 urine proteins significantly discriminated MIBC from NMIBC (AUC = 0.75-0.99), with IL-8 and IgA being the best performers. Urine IgA and fibronectin exhibited the highest specificity of 80% at fixed sensitivity for identifying advanced BC.

conclusionsGiven the high sensitivity (97%) of urine D-dimer for BC, it may have a role in the initial diagnosis or detection of cancer recurrence. On the other hand, urine IL-8 and IgA may have the potential in identifying disease progression during patient follow-up. The use of these biomarkers for initial triage could have a significant impact as the current cystoscopy-based diagnostic and surveillance approach is costly and invasive when compared to a simple urine test.

Indexed as

ProteomicsUrinary Bladder NeoplasmsBiomarkers, TumorDisease ProgressionHumansImmunoglobulin AInterleukin-8MaleNeoplasm Recurrence, LocalBiomarkers, TumorImmunoglobulin AInterleukin-8BiomarkersBladder cancerDiagnostic biomarkersProtein biomarkersProteomicsSurveillance biomarkers

Identifiers

PMID37016361
PMCPMC10074794
OpenAlexW4362530217

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.