Evidence map›Paper›PMID 23698636›Full record

ArticleCarcinogenesis2013

Prospective evaluation of serum sarcosine and risk of prostate cancer in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial.

Stella Koutros, Tamra E Meyer, Stephen D Fox, Haleem J Issaq, Timothy D Veenstra, Wen-Yi Huang, Kai Yu, Demetrius Albanes, Lisa W Chu, Gerald Andriole and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Carcinogenesis, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. NMR metabolomic profiles associated with long-term risk of prostate cancer.Metabolomics : Official journal of the Metabolomic Society · 2021
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Liquid Biopsy Potential Biomarkers in Prostate Cancer.Diagnostics (Basel, Switzerland) · 2018
    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

13 authors at 8 institutions in 2 countries.

Stella KoutrosDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20892, USA.
Tamra E Meyer
Stephen D Fox
Haleem J Issaq
Timothy D Veenstra
Wen-Yi Huang
Kai Yu
Demetrius Albanes
Lisa W Chu
Gerald Andriole
Robert N Hoover
Ann W Hsing
Sonja I Berndt
Division of Cancer Epidemiology and GeneticsCancer Institute (WIA) · INFrederick National Laboratory for Cancer Research · USStanford Cancer InstituteNational Institutes of Health · USOffice of the Director · USScience Applications International Corporation (United States) · USWashington University in St. Louis · US

Funding

PLCO Trial Etiologic and Early Marker StudyZ01CP010152 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI HAYES, RICHARD S · 2000 to 2008
$3.3M
Intramural NIH HHSNCI NIH HHS Z01 CP010152
6 · The paper itself

Abstract

Metabolomic profiling has identified, sarcosine, a derivative of the amino acid glycine, as an important metabolite involved in the etiology or natural history of prostate cancer. We examined the association between serum sarcosine levels and risk of prostate cancer in 1122 cases (813 non-aggressive and 309 aggressive) and 1112 controls in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Sarcosine was quantified using high-throughput liquid chromatography-mass spectrometry. A significantly increased risk of prostate cancer was observed with increasing levels of sarcosine (odds ratio [OR] for the highest quartile of exposure [Q4] versus the lowest quartile [Q1] = 1.30, 95% confidence interval [CI]: 1.02, 1.65; P-trend 0.03). When stratified by disease aggressiveness, we observed a stronger association for non-aggressive cases (OR for Q4 versus Q1 = 1.44, 95% CI: 1.11, 1.88; P-trend 0.006) but no association for aggressive prostate cancer (OR for Q4 versus Q1 = 1.03, 95% CI: 0.73, 1.47; P-trend 0.89). Although not statistically significant, temporal analyses showed a stronger association between sarcosine and prostate cancer for serum collected closer to diagnosis, suggesting that sarcosine may be an early biomarker of disease. Interestingly, the association between sarcosine and prostate cancer risk was stronger among men with diabetes (OR = 2.66, 95% CI: 1.04, 6.84) compared with those without reported diabetes (OR = 1.23, 95% CI: 0.95-1.59, P-interaction = 0.01). This study found that elevated levels of serum sarcosine are associated with an increased prostate cancer risk and evidence to suggest that sarcosine may be an early biomarker for this disease.

Indexed as

AgedAged, 80 and overBiomarkers, TumorCase-Control StudiesEarly Detection of CancerHumansMaleMiddle AgedOdds RatioProspective StudiesProstatic NeoplasmsRiskSarcosineBiomarkers, TumorSarcosine

Identifiers

PMID23698636
PMCPMC3786375
OpenAlexW2159267679

What OpenQuestion holds

Textmetadata
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.