Evidence map›Paper›PMID 33461604›Full record

ArticleClinical epigenetics2021

Association of variably methylated tumour DNA regions with overall survival for invasive lobular breast cancer.

Medha Suman, Pierre-Antoine Dugué, Ee Ming Wong, JiHoon Eric Joo, John L Hopper, Tu Nguyen-Dumont, Graham G Giles, Roger L Milne, Catriona McLean, Melissa C Southey

Open access · goldAbstract readComparative Study
In one paragraph

Article in Clinical epigenetics, 2021. 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
3.7field-weighted citation impact, top 6% 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, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024
    Review
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  7. Review
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  13. A brief overview about the adipokine: Isthmin-1.Frontiers in cardiovascular medicine · 2022
    Review
  14. Article
  15. Frontiers in oncology · 2021
    Review
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

10 authors at 5 institutions in 1 country.

Medha SumanDepartment of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, 3010, Australia.
Pierre-Antoine DuguéPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, 3168, Australia.
Ee Ming WongDepartment of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, 3010, Australia.
JiHoon Eric JooDepartment of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, 3010, Australia.
John L HopperCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, 3004, Australia.
Tu Nguyen-DumontDepartment of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, 3010, Australia.
Graham G GilesPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, 3168, Australia.
Roger L MilnePrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, 3168, Australia.
Catriona McLeanAnatomical Pathology, Alfred Health, The Alfred Hospital, Melbourne, VIC, 3181, Australia.
Melissa C SoutheyDepartment of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, 3010, Australia. melissa.southey@monash.edu.
Monash Health · AUMonash University · AUUniversity of Melbourne · AUCancer Council Victoria · AUThe Alfred Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumour DNA methylation profiling has shown potential to refine disease subtyping and improve the diagnosis and prognosis prediction of breast cancer. However, limited data exist regarding invasive lobular breast cancer (ILBC). Here, we investigated the genome-wide variability of DNA methylation levels across ILBC tumours and assessed the association between methylation levels at the variably methylated regions and overall survival in women with ILBC.

methodsTumour-enriched DNA was prepared by macrodissecting formalin-fixed paraffin embedded (FFPE) tumour tissue from 130 ILBCs diagnosed in the participants of the Melbourne Collaborative Cohort Study (MCCS). Genome-wide tumour DNA methylation was measured using the HumanMethylation 450K (HM450K) BeadChip array. Variably methylated regions (VMRs) were identified using the DMRcate package in R. Cox proportional hazards regression models were used to assess the association between methylation levels at the ten most significant VMRs and overall survival. Gene set enrichment analyses were undertaken using the web-based tool Metaspace. Replication of the VMR and survival analysis findings was examined using data retrieved from The Cancer Genome Atlas (TCGA) for 168 ILBC cases. We also examined the correlation between methylation and gene expression for the ten VMRs of interest using TCGA data.

resultsWe identified 2771 VMRs (P < 10

conclusionsOur study identified regions showing greatest variability across the ILBC tumour genome and found methylation at several genes to potentially serve as a biomarker of survival for women with ILBC.

Indexed as

DNA MethylationSurvival AnalysisAdultAgedBiomarkers, TumorBreast NeoplasmsCarcinoma, LobularCohort StudiesFemaleGene Expression ProfilingGenome-Wide Association StudyHumansMiddle AgedPrognosisBiomarkers, Tumor

Identifiers

PMID33461604
PMCPMC7814464
OpenAlexW3122528051

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.