Evidence map›Paper›PMID 24448423›Full record

ArticleOncotarget2014

Poly (ADP-ribose) polymerase 1 transcriptional regulation: a novel crosstalk between histone modification H3K9ac and ETS1 motif hypomethylation in BRCA1-mutated ovarian cancer.

Da Li, Fang-Fang Bi, Ji-Min Cao, Chen Cao, Chun-Yan Li, Bo Liu, Qing Yang

Open access · hybridAbstract read
In one paragraph

Article in Oncotarget, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 30 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Da LiDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Fang-Fang Bi
Ji-Min Cao
Chen Cao
Chun-Yan Li
Bo Liu
Qing Yang
China Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poly (ADP-ribose) polymerase 1 (PARP1) plays a critical role in ovarian cancer progression. However, the epigenetic mechanism regulating PARP1 transcription remains largely unknown. Here, we show that the hypomethylated ETS1 motif is a key regulatory element for the PARP1 gene in BRCA1-mutated ovarian cancer. Mechanistically, the ETS1 motif hypomethylation-mediated increase of active histone marker H3K9ac and transcription factor ETS1 enrichment synergistically activates PARP1 transcription. Clinicopathological data indicate that a hypomethylated ETS1 motif was associated with high-grade tumors (P = 0.026) and pN1 (P = 0.002). Univariate survival analysis demonstrated an association between the hypomethylated ETS1 motif and an increased risk of death in BRCA1-mutated ovarian cancer patients. Our findings imply that the genetic (such as BRCA1 mutation) and epigenetic mechanisms (such as hypomethylated ETS1 motif, and histone modification H3K9ac and transcription factor ETS1 binding) are jointly involved in the malignant progression of PARP1-related ovarian cancer.

Indexed as

Genes, BRCA1Base SequenceDNA MethylationFemaleGene Expression Regulation, EnzymologicGene Expression Regulation, NeoplasticHEK293 CellsHistonesHumansMiddle AgedMutationOvarian NeoplasmsPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) PolymerasesPromoter Regions, GeneticProto-Oncogene Protein c-ets-1HistonesPARP1 protein, humanPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) PolymerasesProto-Oncogene Protein c-ets-1

Identifiers

PMID24448423
PMCPMC3960209
OpenAlexW1836674146

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.