Evidence map›Paper›PMID 31623592›Full record

SynthesisBMC cancer2019

Global differences in the prevalence of the CpG island methylator phenotype of colorectal cancer.

Shailesh Mahesh Advani, Pragati Shailesh Advani, Derek W Brown, Stacia M DeSantis, Krittiya Korphaisarn, Helena M VonVille, Jan Bressler, David S Lopez, Jennifer S Davis, Carrie R Daniel and 4 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Genetic heterogeneity of colorectal cancer and the microbiome.World journal of gastrointestinal oncology · 2023
    Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Genetic Regulation of DNA Methylation Yields Novel Discoveries in GWAS of Colorectal Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. 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

14 authors at 5 institutions in 1 country.

Shailesh Mahesh AdvaniDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 0426, Houston, TX, 77030, USA. Shailesh.advani@nih.gov.ORCID http://orcid.org/0000-0002-1446-969X
Pragati Shailesh AdvaniRadiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Institutes of Health, National Cancer Institute, Rockville, MD, 20850, USA.
Derek W BrownDepartment of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Stacia M DeSantisDepartment of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Krittiya KorphaisarnDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 0426, Houston, TX, 77030, USA.
Helena M VonVilleLibrary, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Jan BresslerDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
David S LopezDivision of Urology- UTHealth McGovern Medical School, Houston, TX, 77030, USA.
Jennifer S DavisDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Carrie R DanielDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Amir Mehrvarz SarshekehDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 0426, Houston, TX, 77030, USA.
Dejana BraithwaiteCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington DC, 20007, USA.
Michael D SwartzDepartment of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Scott KopetzDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 0426, Houston, TX, 77030, USA. skopetz@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USThe University of Texas Health Science Center at Houston · USGeorgetown University · USNational Institutes of Health · USThe University of Texas Medical Branch at Galveston · US

Funding

Center for Clinical and Translational Sciences (CCTS)KL2TR000370 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$4.3M
Training Program in Biostatistics at UTHSCH-SPHT32GM074902 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI DESANTIS, STACIA · 2006 to 2018
$1.4M
NCATS NIH HHS KL2 TR000370NIGMS NIH HHS T32 GM074902
6 · The paper itself

Abstract

backgroundCpG Island Methylator Phenotype (CIMP) is an epigenetic phenotype in CRC characterized by hypermethylation of CpG islands in promoter regions of tumor suppressor genes, leading to their transcriptional silencing and loss of function. While the prevalence of CRC differs across geographical regions, no studies have compared prevalence of CIMP-High phenotype across regions. The purpose of this project was to compare the prevalence of CIMP across geographical regions after adjusting for variations in methodologies to measure CIMP in a meta-analysis.

methodsWe searched PubMed, Medline, and Embase for articles focusing on CIMP published from 2000 to 2018. Two reviewers independently identified 111 articles to be included in final meta-analysis. We classified methods used to quantify CIMP into 4 categories: a) Classical (MINT marker) Panel group b) Weisenberg-Ogino (W-O) group c) Human Methylation Arrays group and d) Miscellaneous group. We compared the prevalence of CIMP across geographical regions after correcting for methodological variations using meta-regression techniques.

resultsThe pooled prevalence of CIMP-High across all studies was 22% (95% confidence interval:21-24%; I

conclusionAlthough no differences were found for CIMP-H prevalence across countries, further studies are needed to compare the influence of demographic, lifestyle and environmental factors in relation to the prevalence of CIMP across geographical regions.

Indexed as

PhenotypeAlcohol DrinkingCohort StudiesColorectal NeoplasmsCpG IslandsCzech RepublicDNA MethylationGene SilencingGenetic HeterogeneityHumansIndiaPrevalencePromoter Regions, GeneticPublication BiasRisk FactorsCIMPColorectalEpigeneticsGeographicMethylation

Identifiers

PMID31623592
PMCPMC6796359
OpenAlexW2980481974

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.