Evidence map›Paper›PMID 19072646›Full record

ReviewPharmacogenomics2008

Epigenomics and breast cancer.

Pang-Kuo Lo, Saraswati Sukumar

Abstract readReview
In one paragraph

Review in Pharmacogenomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 4 pooled it
5.7field-weighted citation impact, top 3% 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

71 citing papers in PubMed, 4 syntheses or guidelines pooled it, 182 citations in OpenAlex.

  1. Pooled it
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  4. The polymorphism of EGFR 142285G > A exerts no risk effect on breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
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11 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Pang-Kuo LoJohns Hopkins University School of Medicine, 1650 Orleans Street, CRBI-143, Baltimore, MD 21231, USA.
Saraswati Sukumar
Johns Hopkins Medicine · USSidney Kimmel Comprehensive Cancer Center · US

Funding

VACCINES--A NEW PARADIGM FOR BREAST CANCERP50CA088843 · NCI · JOHNS HOPKINS UNIVERSITY · PI DAVIDSON, NANCY ELLEN · 2000 to 2010
$27.8M
NCI NIH HHS P50 CA088843NCI NIH HHS P50 CA888431
6 · The paper itself

Abstract

Breast carcinogenesis involves genetic and epigenetic alterations that cause aberrant gene function. Recent progress in the knowledge of epigenomics has had a profound impact on the understanding of mechanisms leading to breast cancer, and consequently the development of new strategies for diagnosis and treatment of breast cancer. Epigenetic regulation has been known to involve three mutually interacting events--DNA methylation, histone modifications and nucleosomal remodeling. These processes modulate chromatin structure to form euchromatin or heterochromatin, and in turn activate or silence gene expression. Alteration in expression of key genes through aberrant epigenetic regulation in breast cells can lead to initiation, promotion and maintenance of carcinogenesis, and is even implicated in the generation of drug resistance. We currently review known roles of the epigenetic machinery in the development and recurrence of breast cancer. Furthermore, we highlight the significance of epigenetic alterations as predictive biomarkers and as new targets of anticancer therapy.

Indexed as

DNA MethylationEpigenesis, GeneticAntineoplastic AgentsBreast NeoplasmsDrug Resistance, NeoplasmFemaleHumansNucleosomesReceptors, EstrogenAntineoplastic AgentsNucleosomesReceptors, Estrogen

Identifiers

PMID19072646
PMCPMC2633440
OpenAlexW2135449253

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.