Evidence map›Paper›PMID 31151939›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019

Urinary Metabolomics to Identify a Unique Biomarker Panel for Detecting Colorectal Cancer: A Multicenter Study.

Lu Deng, Kathleen Ismond, Zhengjun Liu, Jeremy Constable, Haili Wang, Olusegun I Alatise, Martin R Weiser, T P Kingham, David Chang

Registry-linked trialOpen access · greenAbstract readMulticenter Study
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04689802 (To Identify Potential New Urine Marker Panel for Cancer Screening), which is not on this map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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.

NCT04689802 recruitingnot on this mapstarted 2021, after this paper: background citation

To Identify Potential New Urine Marker Panel for Cancer Screening

TypeobservationalSponsorChinese University of Hong KongRan2021 to 2026Enrolled2,500ConditionsCancer
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Colorectal neoplasia-specific amino acid profiles and their diagnostic potential: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Pooled it
  2. Review
  3. A Urinary Three-Metabolite Signature Enables Noninvasive Identification of Patients with High-Risk Ovarian Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Characteristics of Cancer Epidemiology Studies That Employ Metabolomics: A Scoping Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  15. Article
  16. Review
  17. Article
  18. Optimal Strategies for Colorectal Cancer Screening.Current treatment options in oncology · 2022
    Review
  19. Review
  20. Review
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

9 authors at 4 institutions in 3 countries.

Lu DengMetabolomic Technologies Inc., Edmonton, Alberta, Canada. ldeng1@ualberta.ca.ORCID 0000-0002-3324-770X
Kathleen IsmondMetabolomic Technologies Inc., Edmonton, Alberta, Canada.
Zhengjun LiuDepartment of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada.
Jeremy ConstableDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Haili WangDepartment of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Olusegun I AlatiseDepartment of Surgery, Obafemi Awolowo University and Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria.
Martin R WeiserDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
T P KinghamDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
David ChangMetabolomic Technologies Inc., Edmonton, Alberta, Canada.
University of Alberta · CAMemorial Sloan Kettering Cancer Center · USObafemi Awolowo University Teaching Hospitals Complex · NGThe Metabolomics Innovation Centre · CA

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Point of care, real-time urine metabolomics test to diagnose colorectal cancers and polyps in low- and middle-income countriesUH3CA257869 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI ALATISE, OLUSEGUN ISAAC, KINGHAM, T PETER · 2020 to 2022
$2.3M
Point of care, real-time urine metabolomics test to diagnose colorectal cancers and polyps in low- and middle-income countriesUG3EB024965 · NIBIB · SLOAN-KETTERING INST CAN RESEARCH · PI ALATISE, OLUSEGUN ISAAC, KINGHAM, T PETER · 2017 to 2018
$767k
NCI NIH HHS P30 CA008748NCI NIH HHS UH3 CA257869NIBIB NIH HHS UG3 EB024965
6 · The paper itself

Abstract

backgroundPopulation-based screening programs are credited with earlier colorectal cancer diagnoses and treatment initiation, which reduce mortality rates and improve patient health outcomes. However, recommended screening methods are unsatisfactory as they are invasive, are resource intensive, suffer from low uptake, or have poor diagnostic performance. Our goal was to identify a urine metabolomic-based biomarker panel for the detection of colorectal cancer that has the potential for global population-based screening.

methodsProspective urine samples were collected from study participants. Based upon colonoscopy and histopathology results, 342 participants (colorectal cancer, 171; healthy controls, 171) from two study sites (Canada, United States) were included in the analyses. Targeted liquid chromatography-mass spectrometry (LC-MS) was performed to quantify 140 highly valuable metabolites in each urine sample. Potential biomarkers for colorectal cancer were identified by comparing the metabolomic profiles from colorectal cancer versus controls. Multiple models were constructed leading to a good separation of colorectal cancer from controls.

resultsA panel of 17 metabolites was identified as possible biomarkers for colorectal cancer. Using only two of the selected metabolites, namely diacetylspermine and kynurenine, a predictor for detecting colorectal cancer was developed with an AUC of 0.864, a specificity of 80.0%, and a sensitivity of 80.0%.

conclusionsWe present a potentially "universal" metabolomic biomarker panel for colorectal cancer independent of cohort clinical features based on a North American population. Further research is needed to confirm the utility of the profile in a prospective, population-based colorectal cancer screening trial. IMPACT: A urinary metabolomic biomarker panel was identified for colorectal cancer with the potential of clinical application.

Indexed as

AdultBiomarkers, TumorCase-Control StudiesChromatography, LiquidColorectal NeoplasmsEarly Detection of CancerFemaleHumansMaleMass SpectrometryMetabolomicsMiddle AgedNeoplasm StagingProspective StudiesROC CurveBiomarkers, Tumor

Identifiers

PMID31151939
PMCPMC6677589
OpenAlexW2947562522

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.