Evidence map›Paper›PMID 32299850›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020

Biomarkers for Early Detection of Colorectal Cancer: The Early Detection Research Network, a Framework for Clinical Translation.

Robert S Bresalier, William M Grady, Sanford D Markowitz, Hans Jørgen Nielsen, Surinder K Batra, Paul D Lampe

Open access · bronzeAbstract read
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, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

27 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
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  4. Review
  5. Review
  6. Article
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  8. Article
  9. Biomarkers in Colorectal Cancer: Actual and Future Perspectives.International journal of molecular sciences · 2024
    Review
  10. Article
  11. Review
  12. Article
  13. Tumor biomarkers for diagnosis, prognosis and targeted therapy.Signal transduction and targeted therapy · 2024
    Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
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  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

6 authors at 5 institutions in 2 countries.

Robert S BresalierDepartment of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas. rbresali@mdanderson.org.
William M GradyClinical Research Division, Fred Hutchinson Cancer Research Center and the Department of Medicine, Division of Gastroenterology, University of Washington School of Medicine, Seattle, Washington.ORCID 0000-0002-0129-7809
Sanford D MarkowitzCase Comprehensive Cancer Center and the Division of Hematology-Oncology, University Hospitals Cleveland Medical Center, Cleveland, Ohio.
Hans Jørgen NielsenDepartment of Surgical Gastroenterology, Hvidovre Hospital, Hvidovre, Denmark.ORCID 0000-0003-2619-4379
Surinder K BatraDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Eppley Institute for Research in Cancer and Allied Diseases, Fred and Pamela Buffett Cancer Center, Omaha, Nebraska.
Paul D LampeDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0002-1399-2761
Fred Hutch Cancer Center · USThe University of Texas MD Anderson Cancer Center · USUniversity Hospitals of Cleveland · USUniversity of Copenhagen · DKUniversity of Nebraska Medical Center · US

Funding

Great Lakes/New England Clinical Validation CenterU01CA086400 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI RICCIARDIELLO, LUIGI, SYNGAL, SAPNA · 2000 to 2025
$26.0M
Targeting 15-PGDH in Colon Cancer Prognosis, Prediction, Treatment and PreventionP50CA150964 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI MARKOWITZ, SANFORD D. · 2011 to 2022
$24.6M
Fred Hutchinson Breast Cancer Clinical Validation CenterU01CA152637 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Christopher I Li, Savannah Corrina Partridge · 2010 to 2026
$14.6M
Identify and validate novel epigenetic molecular markers for colorectal neoplasmU01CA152756 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GRADY, WILLIAM MALLORY, GUDA, KISHORE · 2010 to 2021
$6.7M
NCI NIH HHS P50 CA150964NCI NIH HHS U01 CA086400NCI NIH HHS U01 CA152637NCI NIH HHS U01 CA152756
6 · The paper itself

Abstract

Early detection by screening significantly reduces mortality from colorectal cancer, but 40% of guideline-eligible patients are not screened as recommended in the United States. Novel strategies to improve screening uptake overall and efforts to deploy best practices to underserved populations are a high priority for health care. This review focuses on existing biomarkers in practice and those in development with clinical relevance to early detection of colorectal neoplasia, with an emphasis on those developed by investigators of the NCI's Early Detection Research Network. Aberrantly methylated DNA markers (blood and stool), stool-based markers (including fecal immunochemical test-DNA), and a variety of blood-based marker assays in development (protein markers, glycoproteins including mucins, and cell-free DNA tests) are reviewed. Individual markers and biomarker panels, sample resources, and barriers to translating biomarkers to clinical practice are discussed.

Indexed as

Biomarkers, TumorColorectal NeoplasmsEarly Detection of CancerHumansBiomarkers, Tumor

Identifiers

PMID32299850
PMCPMC7572434
OpenAlexW3016688287

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.