Evidence map›Paper›PMID 23652305›Full record

ArticleBritish journal of cancer2013

Assessment of DNA methylation status in early stages of breast cancer development.

A Q van Hoesel, Y Sato, D A Elashoff, R R Turner, A E Giuliano, J M Shamonki, P J K Kuppen, C J H van de Velde, D S B Hoon

Abstract read
In one paragraph

Article in British journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Decoding the Epigenome of Breast Cancer.International journal of molecular sciences · 2025
    Review
  5. Article
  6. The Association of Methylation Status and Expression Level ofInternational journal of hematology-oncology and stem cell research · 2023
    Article
  7. Review
  8. Article
  9. Article
  10. Optimized Marker System for Early Diagnosis of Breast Cancer.Bulletin of experimental biology and medicine · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. DNA Methylation Markers for Breast Cancer Detection in the Developing World.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Article
  16. Review
  17. Article
  18. Article
  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.

A Q van HoeselDepartment of Molecular Oncology, John Wayne Cancer Institute, Santa Monica, CA 90404, USA.
Y Sato
D A Elashoff
R R Turner
A E Giuliano
J M Shamonki
P J K Kuppen
C J H van de Velde
D S B Hoon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMolecular pathways determining the malignant potential of premalignant breast lesions remain unknown. In this study, alterations in DNA methylation levels were monitored during benign, premalignant and malignant stages of ductal breast cancer development.

methodsTo study epigenetic events during breast cancer development, four genomic biomarkers (Methylated-IN-Tumour (MINT)17, MINT31, RARβ2 and RASSF1A) shown to represent DNA hypermethylation in tumours were selected. Laser capture microdissection was employed to isolate DNA from breast lesions, including normal breast epithelia (n=52), ductal hyperplasia (n=23), atypical ductal hyperplasia (n=31), ductal carcinoma in situ (DCIS, n=95) and AJCC stage I invasive ductal carcinoma (IDC, n=34). Methylation Index (MI) for each biomarker was calculated based on methylated and unmethylated copy numbers measured by Absolute Quantitative Assessment Of Methylated Alleles (AQAMA). Trends in MI by developmental stage were analysed.

resultsMethylation levels increased significantly during the progressive stages of breast cancer development; P-values are 0.0012, 0.0003, 0.012, <0.0001 and <0.0001 for MINT17, MINT31, RARβ2, RASSF1A and combined biomarkers, respectively. In both DCIS and IDC, hypermethylation was associated with unfavourable characteristics.

conclusionDNA hypermethylation of selected biomarkers occurs early in breast cancer development, and may present a predictor of malignant potential.

Indexed as

DNA MethylationBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingCell Transformation, NeoplasticDisease ProgressionFemaleGene DosageGene Expression Regulation, NeoplasticHumansLaser Capture MicrodissectionNeoplasm InvasivenessNeoplasm StagingPrecancerous ConditionsTime Factors

Identifiers

PMID23652305
PMCPMC3670495

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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.