Evidence map›Paper›PMID 12819009›Full record

ArticleThe American journal of pathology2003

Methylation target array for rapid analysis of CpG island hypermethylation in multiple tissue genomes.

Chuan-Mu Chen, Hsiao-Ling Chen, Timothy H-C Hsiau, Andrew H-A Hsiau, Huidong Shi, Graham J R Brock, Susan H Wei, Charles W Caldwell, Pearlly S Yan, Tim Hui-Ming Huang

Open access · greenAbstract read
In one paragraph

Article in The American journal of pathology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
3.5field-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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 100 citations in OpenAlex.

  1. Pooled it
  2. Association of BRCA1 Promoter Methylation with Breast Cancer in Asia: A Meta- AnalysisAsian Pacific journal of cancer prevention : APJCP · 2018
    Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Ingestion of milk containing the Dp2 peptide, a dust mite allergen, protects mice from allergic airway inflammation and hyper-responsiveness.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2013
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Gingyo-san enhances immunity and potentiates infectious bursal disease vaccination.Evidence-based complementary and alternative medicine : eCAM · 2011
    Article
  17. Article
  18. Review
  19. Review
  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

10 authors at 2 institutions in 2 countries.

Chuan-Mu ChenDepartment of Life Sciences, National Chung Hsing University, Taiwan, Republic of China.
Hsiao-Ling Chen
Timothy H-C Hsiau
Andrew H-A Hsiau
Huidong Shi
Graham J R Brock
Susan H Wei
Charles W Caldwell
Pearlly S Yan
Tim Hui-Ming Huang
National Chung Hsing University · TWUniversity of Glasgow · GB

Funding

DNA Hypermethylation in Breast CancerR01CA069065 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HUANG, TIM H.-M. · 2002 to 2011
$2.4M
HIGH THROUGHPUT METHYLATION ANALYSIS IN CANCERR33CA084701 · NCI · UNIVERSITY OF MISSOURI-COLUMBIA · PI HUANG, TIM H.-M. · 2000 to 2002
$1.3M
IDENTIFICATION OF M5CPG ALTERATIONS IN BREAST CARCINOMASR33CA086305 · NCI · UNIVERSITY OF GLASGOW · PI BROCK, GRAHAM J · 2001 to 2003
$331k
DNA HYPERMETHYLATION IN BREAST CANCERR29CA069065 · NCI · UNIVERSITY OF MISSOURI-COLUMBIA · PI HUANG, TIM H.-M. · 1996 to 2000
$108k
IDENTIFICATION OF M5CPG ALTERATIONS IN BREAST CARCINOMASR21CA086305 · NCI · UNIVERSITY OF GLASGOW · PI BROCK, GRAHAM J · 2000 to 2000
$100k
NCI NIH HHS CA-69065NCI NIH HHS CA-84701NCI NIH HHS CA-86305NCI NIH HHS R01 CA069065NCI NIH HHS R29 CA069065
6 · The paper itself

Abstract

Hypermethylation of multiple CpG islands is a common event in cancer. To assess the prognostic values of this epigenetic alteration, we developed Methylation Target Array (MTA), derived from the concept of tissue microarray, for simultaneous analysis of DNA hypermethylation in hundreds of tissue genomes. In MTA, linker-ligated CpG island fragments were digested with methylation-sensitive endonucleases and amplified with flanking primers. A panel of 468 MTA amplicons, which represented the whole repertoire of methylated CpG islands in 93 breast tumors, 20 normal breast tissues, and 4 breast cancer cell lines, were arrayed on nylon membrane for probe hybridization. Positive hybridization signals detected in tumor amplicons, but not in normal amplicons, were indicative of aberrant hypermethylation in tumor samples. This is attributed to aberrant sites that were protected from methylation-sensitive restriction and were amplified by PCR in tumor samples, while the same sites were restricted and could not be amplified in normal samples. Hypermethylation frequencies of the 10 genes tested in breast tumors and cancer cell lines were 60% for GPC3, 58% for RASSF1A, 32% for 3OST3B, 30% for HOXA5, 28% for uPA, 25% for WT1, 23% for BRCA1, 9% for DAPK1, and 0% for KL. Furthermore, hypermethylation of 5 to 7 loci of these genes was significantly correlated with hormone receptor status, clinical stages, and ages at diagnosis of the patients analyzed. This novel approach thus provides an additional avenue for assessing clinicopathological consequences of DNA hypermethylation in breast cancer.

Indexed as

CpG IslandsDNA MethylationGenome, HumanBreast NeoplasmsFemaleGene Expression ProfilingHumansMolecular Sequence DataOligonucleotide Array Sequence AnalysisPromoter Regions, GeneticStatistics as TopicTumor Cells, Cultured

Identifiers

PMID12819009
PMCPMC1868173
OpenAlexW1982638636

What OpenQuestion holds

Textmetadata
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.