Evidence map›Paper›PMID 24178577›Full record

ReviewToxicologic pathology2014

Molecular alterations and biomarkers in colorectal cancer.

William M Grady, Colin C Pritchard

Open access · bronzeAbstract readReview
In one paragraph

Review in Toxicologic pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 98 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. TGF-β Pathway-Based Polygenic Risk Score Modifies the Association between Red Meat Intake and Colorectal Cancer Risk: Application of a Novel Pathway-Based PRS Method.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Distinct Driver Pathway Enrichments and a High Prevalence ofInternational journal of molecular sciences · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Impact of thymidine phosphorylase and CD163 expression on prognosis in stage II colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Methylation ofFrontiers in molecular biosciences · 2021
    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

2 authors at 1 institution in 1 country.

William M Grady1Clinical Research Division, Fred Hutchison Cancer Research Center, Seattle, Washington, USA.
Colin C Pritchard
University 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
Clinical sequencing in cancer: Clinical ethical and technological studiesU01HG006507 · NHGRI · UNIVERSITY OF WASHINGTON · PI JARVIK, GAIL PAIRITZ · 2012 to 2016
$10.6M
Trans-NetworkU54CA143862 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MELDRUM, DEIRDRE R. · 2009 to 2013
$8.4M
PROSPR Statistical Coordinating Center (PSCC)U01CA163304 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BARLOW, WILLIAM E, THORNQUIST, MARK · 2011 to 2017
$7.5M
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
Affinity Based Strategies to Fast Track Development of Colon Cancer BiomarkersU01CA152746 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HANASH, SAMIR M, LAMPE, PAUL D. · 2010 to 2014
$3.1M
NCI NIH HHS P01 CA077852NCI NIH HHS P01CA077852NCI NIH HHS P30 CA015704NCI NIH HHS P30CA15704NCI NIH HHS U01 CA152746NCI NIH HHS U01 CA152756NCI NIH HHS U01CA152756NCI NIH HHS U01 CA163304NCI NIH HHS U54 CA143862NCI NIH HHS U54CA143862NHGRI NIH HHS 5U01HG006507NHGRI NIH HHS U01 HG006507
6 · The paper itself

Abstract

The promise of precision medicine is now a clinical reality. Advances in our understanding of the molecular genetics of colorectal cancer (CRC) are leading to the development of a variety of biomarkers that are being used as early detection markers, prognostic markers, and markers for predicting treatment responses. This is no more evident than in the recent advances in testing CRCs for specific molecular alterations in order to guide treatment with the monoclonal antibody therapies cetuximab and panitumumab, which target the epidermal growth factor receptor. In this review, we update a prior review published in 2010 and describe our current understanding of the molecular pathogenesis of CRC and how these alterations relate to emerging biomarkers for early detection and risk stratification (diagnostic markers), prognosis (prognostic markers), and the prediction of treatment responses (predictive markers).

Indexed as

Antibodies, MonoclonalAntibodies, Monoclonal, HumanizedBiomarkers, TumorCetuximabColorectal NeoplasmsErbB ReceptorsHumansPanitumumabPrognosisProto-Oncogene ProteinsSignal TransductionAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedBiomarkers, TumorCetuximabErbB ReceptorsPanitumumabProto-Oncogene ProteinsbiomarkersBRAFcetuximabchromosome instabilitycolon cancerEGFRKRASmicrosatellite instabilityMSIpanitumumab.

Identifiers

PMID24178577
PMCPMC3947043
OpenAlexW2157547728

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.