Evidence map›Paper›PMID 27197278›Full record

ReviewCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2016

Metabolomic Biomarkers of Prostate Cancer: Prediction, Diagnosis, Progression, Prognosis, and Recurrence.

Rachel S Kelly, Matthew G Vander Heiden, Edward Giovannucci, Lorelei A Mucci

Open access · bronzeAbstract readReview
In one paragraph

Review in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 3 pooled it
6.3field-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

78 citing papers in PubMed, 3 syntheses or guidelines pooled it, 162 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Metabolomics in Glaucoma: A Systematic Review.Investigative ophthalmology & visual science · 2021
    Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

18 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Rachel S KellyDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. hprke@channing.harvard.edu.
Matthew G Vander HeidenKoch Institute for Integrative Cancer Research at Massachusetts Institute of Technology, Cambridge, Massachusetts. Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts. Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts.
Edward GiovannucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Lorelei A MucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Dana-Farber Cancer Institute · US

Funding

Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1991 to 2009
$41.8M
Tumor and Circulating Markers as Links Between Obesity and Lethal Prostate CanceP50CA090381 · NCI · DANA-FARBER CANCER INSTITUTE · PI LODA, MASSIMO · 2002 to 2017
$36.2M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Energy Balance-Related Hormones & Prostate Cancer Incidence & ProgressionR01CA133891 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI GIOVANNUCCI, EDWARD · 2008 to 2012
$3.3M
Growth Factors and Lethal Prostate Cancer SignatureR01CA141298 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI STAMPFER, MEIR · 2010 to 2013
$2.2M
Sex-Hormones and the TMPRSS2: ERG Fusion in Prostate Cancer ProgressionR01CA136578 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI MUCCI, LORELEI · 2009 to 2013
$1.7M
NCI NIH HHS P01 CA055075NCI NIH HHS P50 CA090381NCI NIH HHS R01 CA133891NCI NIH HHS R01 CA136578NCI NIH HHS R01 CA141298NCI NIH HHS UM1 CA167552
6 · The paper itself

Abstract

Metabolite profiling is being increasing employed in the study of prostate cancer as a means of identifying predictive, diagnostic, and prognostic biomarkers. This review provides a summary and critique of the current literature. Thirty-three human case-control studies of prostate cancer exploring disease prediction, diagnosis, progression, or treatment response were identified. All but one demonstrated the ability of metabolite profiling to distinguish cancer from benign, tumor aggressiveness, cases who recurred, and those who responded well to therapy. In the subset of studies where biomarker discriminatory ability was quantified, high AUCs were reported that would potentially outperform the current gold standards in diagnosis, prognosis, and disease recurrence, including PSA testing. There were substantial similarities between the metabolites and the associated pathways reported as significant by independent studies, and important roles for abnormal cell growth, intensive cell proliferation, and dysregulation of lipid metabolism were highlighted. The weight of the evidence therefore suggests metabolic alterations specific to prostate carcinogenesis and progression that may represent potential metabolic biomarkers. However, replication and validation of the most promising biomarkers is currently lacking and a number of outstanding methodologic issues remain to be addressed to maximize the utility of metabolomics in the study of prostate cancer. Cancer Epidemiol Biomarkers Prev; 25(6); 887-906. ©2016 AACR.

Indexed as

MetabolomeBiomarkersHumansMaleNeoplasm Recurrence, LocalPrognosisProstatic NeoplasmsBiomarkers

Identifiers

PMID27197278
PMCPMC4891222
OpenAlexW2314051336

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.