Evidence map›Paper›PMID 21636702›Full record

ArticleEndocrine-related cancer2011

Novel candidate colorectal cancer biomarkers identified by methylation microarray-based scanning.

Yuriko Mori, Alexandru V Olaru, Yulan Cheng, Rachana Agarwal, Jian Yang, Delgermaa Luvsanjav, Wayne Yu, Florin M Selaru, Susan Hutfless, Mark Lazarev and 7 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Endocrine-related cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

39 citing papers in PubMed, 81 citations in OpenAlex.

  1. Trial
  2. Article
  3. Incretin-Based Therapies and Cancer: What's New?Medicina (Kaunas, Lithuania) · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Connexins and Glucose Metabolism in Cancer.International journal of molecular sciences · 2022
    Review
  9. Article
  10. Review
  11. Article
  12. Epigenetic Landscape of Liquid Biopsy in Colorectal Cancer.Frontiers in cell and developmental biology · 2021
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  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

17 authors at 3 institutions in 1 country.

Yuriko MoriDivision of Gastroenterology, Department of Medicine, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, 720 Rutland Avenue, Baltimore, Maryland 21205, USA. ymori3@jhmi.edu
Alexandru V Olaru
Yulan Cheng
Rachana Agarwal
Jian Yang
Delgermaa Luvsanjav
Wayne Yu
Florin M Selaru
Susan Hutfless
Mark Lazarev
John H Kwon
Steven R Brant
Michael R Marohn
David F Hutcheon
Mark D Duncan
Ajay Goel
Stephen J Meltzer
Johns Hopkins University · USBaylor University Medical Center · USUniversity of Chicago · US

Funding

INTEGRATED DEVELOPMENT OF NOVEL MOLECULAR MARKERSU01CA084986 · NCI · JOHNS HOPKINS UNIVERSITY · PI SIDRANSKY, DAVID · 1999 to 2014
$33.8M
Inflammatory Bowel Disease-Associated Malignant TransformationR01CA133012 · NCI · JOHNS HOPKINS UNIVERSITY · PI MELTZER, STEPHEN J · 2009 to 2013
$1.5M
Matrilysin regulation in colonic epithelial cells and role in barrier functionK08DK078046 · NIDDK · UNIVERSITY OF CHICAGO · PI KWON, JOHN · 2007 to 2011
$794k
NCI NIH HHS R01CA0133012NCI NIH HHS R01 CA133012NCI NIH HHS U01 CA084986NCI NIH HHS U01CA084986NIDDK NIH HHS K08 DK078046NIDDK NIH HHS K08DK078046
6 · The paper itself

Abstract

DNA hypermethylation is a common epigenetic abnormality in colorectal cancers (CRCs) and a promising class of CRC screening biomarkers. We conducted a genome-wide search for novel neoplasia-specific hypermethylation events in the colon. We applied methylation microarray analysis to identify loci hypermethylated in 17 primary CRCs relative to eight non-neoplastic colonic mucosae (NCs) from neoplasia-free subjects. These CRC-associated hypermethylation events were then individually evaluated for their ability to discriminate neoplastic from non-neoplastic cases, based on real-time quantitative methylation-specific PCR (qMSP) assays in 113 colonic tissues: 51 CRCs, nine adenomas, 19 NCs from CRC patients (CRC-NCs), and 34 NCs from neoplasia-free subjects (control NCs). A strict microarray data filtering identified 169 candidate CRC-associated hypermethylation events. Fourteen of these 169 loci were evaluated using qMSP assays. Ten of these 14 methylation events significantly distinguished CRCs from age-matched control NCs (P<0.05 by receiver operator characteristic curve analysis); methylation of visual system homeobox 2 (VSX2) achieved the highest discriminative accuracy (83.3% sensitivity and 92.3% specificity, P<1×10(-6)), followed by BEN domain containing 4 (BEND4), neuronal pentraxin I (NPTX1), ALX homeobox 3 (ALX3), miR-34b, glucagon-like peptide 1 receptor (GLP1R), BTG4, homer homolog 2 (HOMER2), zinc finger protein 583 (ZNF583), and gap junction protein, gamma 1 (GJC1). Adenomas were significantly discriminated from control NCs by hypermethylation of VSX2, BEND4, NPTX1, miR-34b, GLP1R, and HOMER2 (P<0.05). CRC-NCs were significantly distinguished from control NCs by methylation of ALX3 (P<1×10(-4)). In conclusion, systematic methylome-wide analysis has identified ten novel methylation events in neoplastic and non-neoplastic colonic mucosae from CRC patients. These potential biomarkers significantly discriminate CRC patients from controls. Thus, they merit further evaluation in stool- and circulating DNA-based CRC detection studies.

Indexed as

DNA MethylationAdenomaAdultAgedAged, 80 and overBiomarkers, TumorCase-Control StudiesColonColorectal NeoplasmsDNA, NeoplasmEpigenomicsFemaleGene Expression ProfilingHumansMaleMicroRNAsBiomarkers, TumorDNA, NeoplasmMicroRNAs

Identifiers

PMID21636702
PMCPMC3464012
OpenAlexW2130658314

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.