Evidence map›Paper›PMID 26391005›Full record

ArticleBMC cancer2015

An improved sequencing-based strategy to estimate locus-specific DNA methylation.

Giulia Brisotto, Alessandra di Gennaro, Valentina Damiano, Michela Armellin, Tiziana Perin, Roberta Maestro, Manuela Santarosa

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. DNA Methylation in Solid Tumors: Functions and Methods of Detection.International journal of molecular sciences · 2021
    Review
  5. Article
  6. Article
  7. 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

7 authors at 1 institution in 1 country.

Giulia BrisottoExperimental Oncology 1, CRO Aviano National Cancer Institute, via F. Gallini 2, Aviano, 33081, PN, Italy. gbrisotto@cro.it.
Alessandra di GennaroExperimental Oncology 1, CRO Aviano National Cancer Institute, via F. Gallini 2, Aviano, 33081, PN, Italy. adigennaro@cro.it.
Valentina DamianoExperimental Oncology 1, CRO Aviano National Cancer Institute, via F. Gallini 2, Aviano, 33081, PN, Italy. vdamiano@cro.it.
Michela ArmellinExperimental Oncology 1, CRO Aviano National Cancer Institute, via F. Gallini 2, Aviano, 33081, PN, Italy. marmellin@cro.it.
Tiziana PerinPathology, CRO Aviano National Cancer Institute, via F. Gallini 2, Aviano, 33081, PN, Italy. tperin@cro.it.
Roberta MaestroExperimental Oncology 1, CRO Aviano National Cancer Institute, via F. Gallini 2, Aviano, 33081, PN, Italy. rmaestro@cro.it.
Manuela SantarosaExperimental Oncology 1, CRO Aviano National Cancer Institute, via F. Gallini 2, Aviano, 33081, PN, Italy. msantarosa@cro.it.
Centro di Riferimento Oncologico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA methylation is an important epigenetic mechanism of transcriptional control that plays an essential role in several cellular functions. Aberrant DNA methylation in cancer has been frequently associated with downregulation of microRNAs and protein coding genes, such as miR-200c/miR-141 cluster and E-cadherin. Current strategies to assess DNA methylation, including bisulfite treatment-based assays, tend to be time-consuming and may be quite expensive when a precise appraisal is required. The Sanger-sequencing of the amplified bisulfite-treated DNA (BSP) might represent a practical option to measure DNA methylation at single CpG resolution. However, this strategy often produces noisy data, which affects accurate quantification. Here we propose an improved, reliable and cost-effective BSP-based protocol that allows proper DNA methylation assessment.

methodsOur strategy, named normalized-BSP (NBSP), takes advantage of tailed C-balanced primers and a normalization procedure based on C/T ratio to overcome BSP-associated noise problems and nucleotide signal unbalance. NBSP was applied to estimate miR-200c/miR-141 locus methylation in serial dilution experiments and was compared to conventional methods. Besides, it was applied in the analysis of FFPE breast cancer samples and further validated in the context of the E-cadherin promoter.

resultsNBSP strategy outperformed conventional BSP in the estimate of the fraction of methylated cytosine in serial dilution experiments, providing data in agreement with the widely used but cumbersome cloning-based protocol. This held true for both miR-200c/miR-141 locus and E-cadherin promoter analyses. Moreover, the miR-200c/miR-141 locus methylation reflected the decrease in miRNA expression both in breast cancer cell lines and in the FFPE samples.

conclusionsNBSP is a rapid and economical method to estimate the extent of methylation at each CpG of a given locus. Notably, NBSP works efficiently on FFPE samples, thus disclosing the perspective of its application also in the diagnostic setting.

Indexed as

DNA MethylationGenetic LociBreast NeoplasmsCell Line, TumorFemaleHumansMicroRNAsPromoter Regions, GeneticSequence Analysis, DNAMicroRNAs

Identifiers

PMID26391005
PMCPMC4578270
OpenAlexW2098615973

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.