Evidence map›Paper›PMID 32005275›Full record

SynthesisBreast cancer research : BCR2020

Prognostic DNA methylation markers for hormone receptor breast cancer: a systematic review.

Tim C de Ruijter, Frank van der Heide, Kim M Smits, Maureen J Aarts, Manon van Engeland, Vivianne C G Heijnen

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Breast cancer research : BCR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
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

33 citing papers in PubMed, 81 citations in OpenAlex.

  1. Article
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  4. Review
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  11. Observational
  12. Article
  13. Selective Estrogen Receptor Modulators' (SERMs) Influence onInternational journal of molecular sciences · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Cancers · 2022
    Review
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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 2 countries.

Tim C de RuijterDivision of Medical Oncology, Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, The Netherlands.
Frank van der HeideDivision of Medical Oncology, Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, The Netherlands.
Kim M SmitsDivision of Medical Oncology, Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, The Netherlands.
Maureen J AartsDivision of Medical Oncology, Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, The Netherlands.
Manon van EngelandGROW - School for Oncology and Developmental Biology, Maastricht University Medical Center, 6200 MD, Maastricht, The Netherlands.
Vivianne C G HeijnenDivision of Medical Oncology, Maastricht University Medical Center, PO Box 5800, 6202 AZ, Maastricht, The Netherlands. vcg.tjan.heijnen@mumc.nl.
Maastricht University · NLUniversity Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn patients with hormone receptor-positive breast cancer, differentiating between patients with a low and a high risk of recurrence is an ongoing challenge. In current practice, prognostic clinical parameters are used for risk prediction. DNA methylation markers have been proven to be of additional prognostic value in several cancer types. Numerous prognostic DNA methylation markers for breast cancer have been published in the literature. However, to date, none of these markers are used in clinical practice.

methodsWe conducted a systematic review of PubMed and EMBASE to assess the number and level of evidence of published DNA methylation markers for hormone receptor-positive breast cancer. To obtain an overview of the reporting quality of the included studies, all were scored according to the REMARK criteria that were established as reporting guidelines for prognostic biomarker studies.

resultsA total of 74 studies were identified reporting on 87 different DNA methylation markers. Assessment of the REMARK criteria showed variation in reporting quality of the studies. Eighteen single markers and one marker panel were studied in multiple independent populations. Hypermethylation of the markers RASSF1, BRCA, PITX2, CDH1, RARB, PCDH10 and PGR, and the marker panel GSTP1, RASSF1 and RARB showed a statistically significant correlation with poor disease outcome that was confirmed in at least one other, independent study.

conclusionThis systematic review provides an overview on published prognostic DNA methylation markers for hormone receptor-positive breast cancer and identifies eight markers that have been independently validated. Analysis of the reporting quality of included studies suggests that future research on this topic would benefit from standardised reporting guidelines.

Indexed as

DNA MethylationAntigens, CDBiomarkers, TumorBRCA1 ProteinBreast NeoplasmsCadherinsEstrogen Receptor alphaFemaleGlutathione S-Transferase piHomeobox Protein PITX2Homeodomain ProteinsHumansIntracellular Signaling Peptides and ProteinsNeoplasm Recurrence, LocalNuclear ProteinsPrognosisAntigens, CDBiomarkers, TumorBRCA1 ProteinBRCA1 protein, humanCadherinsCDH1 protein, humanEstrogen Receptor alphaGlutathione S-Transferase piGSTP1 protein, humanHomeobox Protein PITX2Homeodomain ProteinsIntracellular Signaling Peptides and ProteinsMRFAP1 protein, humanNuclear ProteinsPCDH1 protein, humanProtocadherinsRASSF1 protein, humanReceptors, ProgesteroneReceptors, Retinoic Acidretinoic acid receptor betaTranscription FactorsTumor Suppressor ProteinsBiomarkersBreast cancerDNA methylationHormone receptor positiveLuminal breast cancerOestrogen receptor positivePrognosisPromoter CpG island methylationSurvival

Identifiers

PMID32005275
PMCPMC6993426
OpenAlexW3005612706

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.