Evidence map›Paper›PMID 18558005›Full record

ArticleProteome science2008

Proteomic profiling of urine for the detection of colon cancer.

Douglas G Ward, Stephen Nyangoma, Howard Joy, Emma Hamilton, Wenbin Wei, Chris Tselepis, Neil Steven, Michael J O Wakelam, Philip J Johnson, Tariq Ismail and 1 more

Open access · goldAbstract read
In one paragraph

Article in Proteome science, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Urinary Protein and Peptide Markers in Chronic Kidney Disease.International journal of molecular sciences · 2021
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Colorectal cancer: from prevention to personalized medicine.World journal of gastroenterology · 2014
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Screening for colorectal cancer: established and emerging modalities.Nature reviews. Gastroenterology & hepatology · 2011
    Review
  16. A comprehensive map of the human urinary proteome.Journal of proteome research · 2011
    Article
  17. Article
  18. Article
  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

11 authors at 2 institutions in 1 country.

Douglas G WardCancer Research UK Institute for Cancer Studies, University of Birmingham, Edgbaston, UK. d.g.ward@bham.ac.uk
Stephen Nyangoma
Howard Joy
Emma Hamilton
Wenbin Wei
Chris Tselepis
Neil Steven
Michael J O Wakelam
Philip J Johnson
Tariq Ismail
Ashley Martin
University of Birmingham · GBCancer Research UK · GB

Funding

Medical Research Council G0500994
6 · The paper itself

Abstract

backgroundColorectal cancer is the second most common cause of cancer related death in the developed world. To date, no blood or stool biomarkers with both high sensitivity and specificity for potentially curable early stage disease have been validated for clinical use. SELDI and MALDI profiling are being used increasingly to search for biomarkers in both blood and urine. Both techniques provide information predominantly on the low molecular weight proteome (<15 kDa). There have been several reports that colorectal cancer is associated with changes in the serum proteome that are detectable by SELDI and we hypothesised that proteomic changes would also be detectable in urine.

resultsWe collected urine from 67 patients with colorectal cancer and 72 non-cancer control subjects, diluted to a constant protein concentration and generated MALDI and SELDI spectra. The intensities of 19 peaks differed significantly between cancer and non-cancer patients by both t-tests and after adjusting for confounders using multiple linear regressions. Logistic regression classifiers based on peak intensities identified colorectal cancer with up to 78% sensitivity at 87% specificity. We identified and independently quantified 3 of the discriminatory peaks using synthetic stable isotope peptides (an 1885 Da fragment of fibrinogen and hepcidin-20) or ELISA (beta2-microglobulin).

conclusionChanges in the urine proteome may aid in the early detection of colorectal cancer.

Identifiers

PMID18558005
PMCPMC2440369
OpenAlexW2099242584

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.