Evidence map›Paper›PMID 24674026›Full record

ArticleBMC gastroenterology2014

DNA methylation subgroups and the CpG island methylator phenotype in gastric cancer: a comprehensive profiling approach.

Marie Loh, Natalia Liem, Aparna Vaithilingam, Pei Li Lim, Nur Sabrina Sapari, Eiram Elahi, Zuan Yu Mok, Chee Leong Cheng, Benedict Yan, Brendan Pang and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC gastroenterology, 2014. 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
2.0field-weighted citation impact, top 13% 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, 42 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Influence of the Microbiome Metagenomics and Epigenomics on Gastric Cancer.International journal of molecular sciences · 2022
    Review
  5. Review
  6. Review
  7. Article
  8. Expression profiles of gastric cancer molecular subtypes in remnant tumors.World journal of gastrointestinal oncology · 2021
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Epigenetic heterogeneity in cancer.Biomarker research · 2019
    Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. How to stomach an epigenetic insult: the gastric cancer epigenome.Nature reviews. Gastroenterology & hepatology · 2017
    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 4 countries.

Marie Loh
Natalia Liem
Aparna Vaithilingam
Pei Li Lim
Nur Sabrina Sapari
Eiram Elahi
Zuan Yu Mok
Chee Leong Cheng
Benedict Yan
Brendan Pang
Manuel Salto-Tellez
Wei Peng Yong
Barry Iacopetta
Richie SoongCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore. Richie_Soong@nus.edu.sg.
National University of Singapore · SGNational University Health System · SGNational University Cancer Institute, Singapore · SGUniversity of Oulu · FIUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethylation-induced silencing of promoter CpG islands in tumor suppressor genes plays an important role in human carcinogenesis. In colorectal cancer, the CpG island methylator phenotype (CIMP) is defined as widespread and elevated levels of DNA methylation and CIMP+ tumors have distinctive clinicopathological and molecular features. In contrast, the existence of a comparable CIMP subtype in gastric cancer (GC) has not been clearly established. To further investigate this issue, in the present study we performed comprehensive DNA methylation profiling of a well-characterised series of primary GC.

methodsThe methylation status of 1,421 autosomal CpG sites located within 768 cancer-related genes was investigated using the Illumina GoldenGate Methylation Panel I assay on DNA extracted from 60 gastric tumors and matched tumor-adjacent gastric tissue pairs. Methylation data was analysed using a recursively partitioned mixture model and investigated for associations with clinicopathological and molecular features including age, Helicobacter pylori status, tumor site, patient survival, microsatellite instability and BRAF and KRAS mutations.

resultsA total of 147 genes were differentially methylated between tumor and matched tumor-adjacent gastric tissue, with HOXA5 and hedgehog signalling being the top-ranked gene and signalling pathway, respectively. Unsupervised clustering of methylation data revealed the existence of 6 subgroups under two main clusters, referred to as L (low methylation; 28% of cases) and H (high methylation; 72%). Female patients were over-represented in the H tumor group compared to L group (36% vs 6%; P = 0.024), however no other significant differences in clinicopathological or molecular features were apparent. CpG sites that were hypermethylated in group H were more frequently located in CpG islands and marked for polycomb occupancy.

conclusionsHigh-throughput methylation analysis implicates genes involved in embryonic development and hedgehog signaling in gastric tumorigenesis. GC is comprised of two major methylation subtypes, with the highly methylated group showing some features consistent with a CpG island methylator phenotype.

Indexed as

CpG IslandsDNA MethylationAdenocarcinomaAgedAge FactorsCase-Control StudiesCyclin A1FemaleGene Expression Regulation, NeoplasticHelicobacter InfectionsHelicobacter pyloriHomeodomain ProteinsHumansIntercellular Signaling Peptides and ProteinsMaleMembrane ProteinsBRAF protein, humanCCNA1 protein, humanCyclin A1Homeodomain ProteinsHOXA5 protein, humanIntercellular Signaling Peptides and ProteinsKRAS protein, humanMembrane ProteinsProto-Oncogene ProteinsProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)ras ProteinsSecreted Frizzled-Related ProteinsSFRP1 protein, human

Identifiers

PMID24674026
PMCPMC3986689
OpenAlexW2135439454

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Registered trials

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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.