Evidence map›Paper›PMID 28870206›Full record

ArticleBMC cancer2017

3,6-Dihydroxyflavone regulates microRNA-34a through DNA methylation.

Xiaoli Peng, Hui Chang, Junli Chen, Qianyong Zhang, Xiaoping Yu, Mantian Mi

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  9. miRNAs and Novel Food Compounds Related to the Browning Process.International journal of molecular sciences · 2019
    Review
  10. Article
  11. Article
  12. Age-related Disease: A Revolution Is Coming.Integrative medicine (Encinitas, Calif.) · 2018
    Article
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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

6 authors at 2 institutions in 1 country.

Xiaoli PengDepartment of Public Health, School of Preclinical Medicine, Chengdu Medical College, Chengdu, China.
Hui ChangResearch Center for Nutrition Correspondence and Food Safety, Third Military Medical University, Chongqing Key Laboratory of Nutrition and Food Safety, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Junli ChenResearch Center for Nutrition Correspondence and Food Safety, Third Military Medical University, Chongqing Key Laboratory of Nutrition and Food Safety, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Qianyong ZhangResearch Center for Nutrition Correspondence and Food Safety, Third Military Medical University, Chongqing Key Laboratory of Nutrition and Food Safety, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
Xiaoping YuResearch Center for Nutrition Correspondence and Food Safety, Third Military Medical University, Chongqing Key Laboratory of Nutrition and Food Safety, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. cyggwsyxp@sina.com.
Mantian MiResearch Center for Nutrition Correspondence and Food Safety, Third Military Medical University, Chongqing Key Laboratory of Nutrition and Food Safety, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. mimt2007@126.com.
Army Medical University · CNChengdu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is the common cancer in China. In previous study, we determined that 3,6-dihydroxyflavone (3,6-DHF) increases miR-34a significantly in breast carcinogenesis, but the mechanism remains unclear.

methodsWe used qRT-PCR to analyze miR-34a and ten-eleven translocation (TET)1, TET2, TET3 levels in breast cancer cells. With a cellular breast carcinogenesis model and an experimental model of carcinogenesis in rats, TET1 levels were evaluated by western blot analysis and immunofluorescence. TET1 and 5hmC (5-hydroxymethylcytosine) levels were evaluated by immunofluorescence in nude mouse xenografts of MDA-MB-231 cells. Chromatin immunoprecipitation(ChIP) assayed for TET1 on the TET1 promoter, and dot blot analysis of DNA 5hmC was performed in MDA-MB-231 cells. We evaluated the mechanism of 3,6-DHF on the expression of tumor suppressor miR-34a by transfecting them with DNA methyltransferase (DNMT)1 plasmid and TET1 siRNA in breast cancer cells. Methylation-specific PCR detected methylation of the miR-34a promoter.

resultsFirst, we found that 3,6-DHF promotes the expression of TET1 during carcinogen-induced breast carcinogenesis in MCF10A cells and in rats. 3,6-DHF also increased TET1 and 5hmC levels in MDA-MB-231 cells. Further study indicated that TET1 siRNA and pcDNA3/Myc-DNMT1 inhibited the 3,6-DHF reactivation effect on expression of miR-34a in breast cancer cells. Methylation-specific PCR assays indicated that TET1 siRNA and pcDNA3/Myc-DNMT1 inhibit the effect of 3,6-DHF on the demethylation of the miR-34a promoter.

conclusionsOur study showed that 3,6-DHF effectively increases TET1 expression by inhibiting DNMT1 and DNA hypermethylation, and consequently up-regulates miR-34a in breast carcinogenesis.

Indexed as

DNA MethylationAnimalsBreast NeoplasmsCell Line, TumorCell Transformation, NeoplasticDNA (Cytosine-5-)-Methyltransferase 1FemaleFlavonoidsGene Expression Regulation, NeoplasticHumansMiceMicroRNAsMixed Function OxygenasesPromoter Regions, GeneticProto-Oncogene ProteinsRats3,6-dihydroxyflavoneDNA (Cytosine-5-)-Methyltransferase 1DNMT1 protein, humanFlavonoidsMicroRNAsMIRN34 microRNA, humanMixed Function OxygenasesProto-Oncogene ProteinsRNA, Small InterferingTET1 protein, human3,6-DihydroxyflavoneBreast cancerCarcinogenesisDNMT1MethylationmiR-34aTET1

Identifiers

PMID28870206
PMCPMC5584326
OpenAlexW2751059740

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.