Evidence map›Paper›PMID 40011499›Full record

ArticleScientific reports2025

Molecular profiling of breast cancer methylation pattern in triple negative versus non- triple negative breast cancer.

Marwa Mohanad, Hager M Hamza, Abeer A Bahnassy, Sabry Shaarawy, Ola Ahmed, Hatem A El-Mezayen, Eman G Ayad, Neveen Tahoun, Mona S Abdellateif

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Therapeutic assessment ofFrontiers in oncology · 2026
    Article
  4. Review
  5. Article
  6. DNA Methylation and Transcript Variant Analysis ofInternational journal of molecular sciences · 2025
    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.

Marwa MohanadBiochemistry Department, College of Pharmaceutical Sciences and Drug Manufacturing, Misr University for Science and Technology, 6th October, Egypt.
Hager M HamzaChemistry Department, Faculty of Science, Helwan University, Cairo, Egypt.
Abeer A BahnassyPathology Department, National Cancer Institute, Cairo University, Cairo, Egypt.
Sabry ShaarawyMedical Biochemistry and Molecular Biology, Cancer Biology Department, National Cancer Institute, Cairo University, Cairo, Egypt.
Ola AhmedMedical Biochemistry and Molecular Biology, Cancer Biology Department, National Cancer Institute, Cairo University, Cairo, Egypt.
Hatem A El-MezayenChemistry Department, Faculty of Science, Helwan University, Cairo, Egypt.
Eman G AyadChemistry Department, Faculty of Science, Helwan University, Cairo, Egypt.
Neveen TahounPathology Department, National Cancer Institute, Cairo University, Cairo, Egypt.
Mona S AbdellateifMedical Biochemistry and Molecular Biology, Cancer Biology Department, National Cancer Institute, Cairo University, Cairo, Egypt. mona.sayed@nci.cu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenetic alterations, especially promotor methylation, have a significant impact on gene expression, molecular subtyping, prognosis, and outcome of breast cancer (BC). The methylation profile was assessed for 22 genes of the BC tissue using the EpiTect Methyl II PCR System in 40 triple-negative BC (TNBC) patients compared to 50 non-TNBC group. The data were corelated with the disease-free (DFS) and overall survival (OS) of the patients. Genes that were differentially hypermethylated in TNBC patients compared to those with non-TNBC included CCND2, CDKN2A, ESR1, CDH1, BRCA1, GSTP, RASSF1, SLIT2, MGMT, PTEN, TP73, and PRDM2. These panel achieved 95% sensitivity, 98% specificity, 97.44% positive predictive value (PPV), 94.23% negative predictive value (NPV), and AUC of 0.993. Hypermethylation of BRCA1, CDH1, CDKN2A, ESR1, GSTP, HIC1, MGMT, PRDM2, PTEN, PYCARDM, RASSF1M, THBS1, and TP73 associated significantly with worse OS and DFS in TNBC cohort. Meanwhile, CCNA1 and CDH1 hypermethylation demonstrated significant associations with poor DFS but did not show significant relationships with OS in TNBC patients. PTGS2 and TNFRSF10C methylation were associated with better DFS and OS rates in TNBC patients. On multivariate Cox regression, CCND2 and PTEN hypermethylation were independent predictors of DFS in the overall BC patients. The hypermethylation of BRCA1 and GSTP were independent predictors of DFS, while PTEN hypermethylation was an independent predictor of OS in the TNBC cohort. The identification of hypermethylated genes, such as BRCA1, CCND2, CDH1, ESR1, GSTP, RASSF1, SLIT2, MGMT, and PTEN may serve as potential biomarkers or therapeutic targets for TNBC.

Indexed as

DNA MethylationTriple Negative Breast NeoplasmsAdultAgedBiomarkers, TumorEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticHumansMiddle AgedPrognosisBiomarkers, TumorBRCA1Breast cancerCCND2GSTPMethylationPTENTNBCTNFRSF10C

Identifiers

PMID40011499
PMCPMC11865568

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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.