Evidence map›Paper›PMID 25994221›Full record

ReviewGut2015

Molecular markers for colorectal cancer screening.

Brandon T Dickinson, John Kisiel, David A Ahlquist, William M Grady

Open access · greenAbstract readReview
In one paragraph

Review in Gut, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 2 pooled it
4.9field-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

75 citing papers in PubMed, 2 syntheses or guidelines pooled it, 135 citations in OpenAlex.

  1. Pooled it
  2. Use of NCCN Guidelines, Other Guidelines, and Biomarkers for Colorectal Cancer Screening.Journal of the National Comprehensive Cancer Network : JNCCN · 2016
    Guideline
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15 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 2 institutions in 1 country.

Brandon T DickinsonDepartment of Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
John KisielMayo Clinic, Rochester, Minnesota, USA.
David A AhlquistMayo Clinic, Rochester, Minnesota, USA.
William M GradyDepartment of Medicine, University of Washington School of Medicine, Seattle, Washington, USA Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Mayo Clinic · USUniversity of Washington · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
Tumor mutation signaturesP01CA077852 · NCI · UNIVERSITY OF WASHINGTON · PI MONNAT, RAYMOND J · 1999 to 2019
$26.0M
Trans-NetworkU54CA143862 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MELDRUM, DEIRDRE R. · 2009 to 2013
$8.4M
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
TGF-beta signaling and colon cancerR01CA115513 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GRADY, WILLIAM MALLORY · 2007 to 2011
$1.6M
(PQC1) Accelerated biological aging and colon polyp to cancer progressionR01CA194663 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GRADY, WILLIAM MALLORY · 2015 to 2018
$1.6M
NCI NIH HHS P01 CA077852NCI NIH HHS P01CA077852NCI NIH HHS P30 CA015704NCI NIH HHS P30CA15704NCI NIH HHS R01 CA115513NCI NIH HHS R01CA115513NCI NIH HHS R01 CA194663NCI NIH HHS R01CA194663NCI NIH HHS U01 CA152756NCI NIH HHS U54 CA143862NCI NIH HHS U54CA143862NCI NIH HHS UO1CA152756
6 · The paper itself

Abstract

Colorectal cancer (CRC), although a significant cause of morbidity and mortality worldwide, has seen a declining incidence and mortality in countries with programmatic screening. Faecal occult blood testing and endoscopic approaches are the predominant screening methods currently. The discovery of the adenoma-carcinoma sequence and a greater understanding of the genetic and epigenetic changes that drive the formation of CRC have contributed to innovative research to identify molecular markers for highly accurate, non-invasive screening tests for CRC. DNA, proteins, messenger RNA and micro-RNA have all been evaluated. The observation of tumour cell exfoliation into the mucocellular layer of the colonic epithelium and proven stability of DNA in a harsh stool environment make stool DNA a particularly promising marker. The development of a clinically useful stool DNA test has required numerous technical advances, including optimisation in DNA stabilisation, the development of assays with high analytical sensitivity, and the identification of specific and broadly informative molecular markers. A multitarget stool DNA test, which combines mutant and methylated DNA markers and a faecal immunochemical test, recently performed favourably in a large cross-sectional validation study and has been approved by the US Food and Drug Administration for the screening of asymptomatic, average-risk individuals. The ultimate way in which molecular marker screening assays will be used in clinical practice will require additional studies to determine optimal screening intervals, factors affecting compliance, management of false-positive results, and the use of these assays in high-risk populations, as well as other considerations.

Indexed as

Occult BloodBiomarkers, TumorColorectal NeoplasmsDNA, NeoplasmEarly Detection of CancerFemaleHumansMaleMass ScreeningRisk AssessmentSensitivity and SpecificityBiomarkers, TumorDNA, NeoplasmCOLONIC NEOPLASMSCOLORECTAL CANCERCOLORECTAL CANCER SCREENINGMOLECULAR BIOLOGYMOLECULAR ONCOLOGY

Identifiers

PMID25994221
PMCPMC4765995
OpenAlexW2096627131

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.