Evidence map›Paper›PMID 29776342›Full record

ArticleBMC cancer2018

DNA methylation signatures of breast cancer in peripheral T-cells.

Surabhi Parashar, David Cheishvili, Niaz Mahmood, Ani Arakelian, Imrana Tanvir, Haseeb Ahmed Khan, Richard Kremer, Catalin Mihalcioiu, Moshe Szyf, Shafaat A Rabbani

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

24 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024
    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

10 authors at 2 institutions in 1 country.

Surabhi ParasharDepartment of Medicine, McGill University Health Center, 1001 Décarie Blvd., Room EM1.3232, Montréal, QC, H4A3J1, Canada.
David CheishviliDepartment of Pharmacology and Therapeutics, McGill University Health Center, Montreal, QC, Canada.
Niaz MahmoodDepartment of Medicine, McGill University Health Center, 1001 Décarie Blvd., Room EM1.3232, Montréal, QC, H4A3J1, Canada.
Ani ArakelianDepartment of Medicine, McGill University Health Center, 1001 Décarie Blvd., Room EM1.3232, Montréal, QC, H4A3J1, Canada.
Imrana TanvirFatima Memorial Hospital, Lahore, Pakistan.
Haseeb Ahmed KhanFatima Memorial Hospital, Lahore, Pakistan.
Richard KremerDepartment of Medicine, McGill University Health Center, 1001 Décarie Blvd., Room EM1.3232, Montréal, QC, H4A3J1, Canada.
Catalin MihalcioiuDepartment of Medicine, McGill University Health Center, 1001 Décarie Blvd., Room EM1.3232, Montréal, QC, H4A3J1, Canada.
Moshe SzyfDepartment of Pharmacology and Therapeutics, McGill University Health Center, Montreal, QC, Canada.
Shafaat A RabbaniDepartment of Medicine, McGill University Health Center, 1001 Décarie Blvd., Room EM1.3232, Montréal, QC, H4A3J1, Canada. shafaat.rabbani@mcgill.ca.
McGill University Health Centre · CAPolytechnique Montréal · CA

Funding

Canadian Institutes of Health Research MOP 130410
6 · The paper itself

Abstract

backgroundImmune surveillance acts as a defense mechanism in cancer, and its disruption is involved in cancer progression. DNA methylation reflects the phenotypic identity of cells and recent data suggested that DNA methylation profiles of T cells and peripheral blood mononuclear cells (PBMC) are altered in cancer progression.

methodsWe enrolled 19 females with stage 1 and 2, nine with stage 3 and 4 and 9 age matched healthy women. T cells were isolated from peripheral blood and extracted DNA was subjected to Illumina 450 K DNA methylation array analysis. Raw data was analyzed by BMIQ, ChAMP and ComBat followed by validation of identified genes by pyrosequencing.

resultsAnalysis of data revealed ~ 10,000 sites that correlated with breast cancer progression and established a list of 89 CG sites that were highly correlated (p < 0.01, r > 0.7, r < - 0.7) with breast cancer progression. The vast majority of these sites were hypomethylated and enriched in genes with functions in the immune system.

conclusionsThe study points to the possibility of using DNA methylation signatures as a noninvasive method for early detection of breast cancer and its progression which need to be tested in clinical studies.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCase-Control StudiesDisease ProgressionDNA MethylationEpigenesis, GeneticFemaleHealthy VolunteersHumansImmunologic SurveillanceMiddle AgedOligonucleotide Array Sequence AnalysisT-LymphocytesBiomarkers, TumorBiomarkersBlood DNABreast cancerDNA methylationEpigenetic signatureImmune system

Identifiers

PMID29776342
PMCPMC5960123
OpenAlexW4231800260

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.