Evidence map›Paper›PMID 19228724›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2009

Pharmacologic unmasking of epigenetically silenced genes in breast cancer.

Kimberly Laskie Ostrow, Hannah Lui Park, Mohammad Obaidul Hoque, Myoung Sook Kim, Junwei Liu, Pedram Argani, William Westra, Wim Van Criekinge, David Sidransky

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2009. 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 8% 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, 70 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Disease markers · 2019
    Article
  17. Review
  18. Review
  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

9 authors at 1 institution in 1 country.

Kimberly Laskie OstrowDepartment of Otolaryngology-Head and Neck Surgery, The Johns Hopkins School of Medicine, Baltimore, MD 21231, USA.
Hannah Lui Park
Mohammad Obaidul Hoque
Myoung Sook Kim
Junwei Liu
Pedram Argani
William Westra
Wim Van Criekinge
David Sidransky
Johns Hopkins University · US

Funding

Treatment of HIV- and HIV+ Patients with HPV16+ CIN2/3 Using pNGLV4a-hCRTE6E7L2 DNA vaccine administered intramuscularly via electroporationP50CA098252 · NCI · JOHNS HOPKINS UNIVERSITY · PI Richard Bruce Roden · 2003 to 2026
$53.5M
INTEGRATED DEVELOPMENT OF NOVEL MOLECULAR MARKERSU01CA084986 · NCI · JOHNS HOPKINS UNIVERSITY · PI SIDRANSKY, DAVID · 1999 to 2014
$33.8M
VACCINES--A NEW PARADIGM FOR BREAST CANCERP50CA088843 · NCI · JOHNS HOPKINS UNIVERSITY · PI DAVIDSON, NANCY ELLEN · 2000 to 2010
$27.8M
NCI NIH HHS CA88843NCI NIH HHS P50 CA088843NCI NIH HHS P50 CA098252NCI NIH HHS U01 CA084986NCI NIH HHS U01-CA84986
6 · The paper itself

Abstract

purposeAberrant promoter hypermethylation of several known or putative tumor suppressor genes occurs frequently during the pathogenesis of various cancers including breast cancer. Many epigenetically inactivated genes involved in breast cancer development remain to be identified. Therefore, in this study we used a pharmacologic unmasking approach in breast cancer cell lines with 5-aza-2'-deoxycytidine (5-aza-dC) followed by microarray expression analysis to identify epigenetically inactivated genes in breast cancer. EXPERIMENTAL

designBreast cancer cell lines were treated with 5-aza-dC followed by microarray analysis to identify epigenetically inactivated genes in breast cancer. We then used bisulfite DNA sequencing, conventional methylation-specific PCR, and quantitative fluorogenic real-time methylation-specific PCR to confirm cancer-specific methylation in novel genes.

resultsForty-nine genes were up-regulated in breast cancer cells lines after 5-aza-dC treatment, as determined by microarray analysis. Five genes (MAL, FKBP4, VGF, OGDHL, and KIF1A) showed cancer-specific methylation in breast tissues. Methylation of at least two was found at high frequency only in breast cancers (40 of 40) as compared with normal breast tissue (0 of 10; P<0.0001, Fisher's exact test).

conclusionsThis study identified new cancer-specific methylated genes to help elucidate the biology of breast cancer and as candidate diagnostic markers for the disease.

Indexed as

DNA MethylationEpigenesis, GeneticGene SilencingAdultAgedBreast NeoplasmsCell Line, TumorFemaleHumansKinesinsMembrane Transport ProteinsMiddle AgedMyelin and Lymphocyte-Associated Proteolipid ProteinsMyelin ProteinsNerve Growth FactorsOligonucleotide Array Sequence AnalysisKIF1A protein, humanKinesinsMAL protein, humanMembrane Transport ProteinsMyelin and Lymphocyte-Associated Proteolipid ProteinsMyelin ProteinsNerve Growth FactorsProteolipidstacrolimus binding protein 4Tacrolimus Binding ProteinsVGF protein, human

Identifiers

PMID19228724
PMCPMC3082476
OpenAlexW2112253005

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.