Evidence map›Paper›PMID 42222431›Full record

ArticleCancer informatics2026

Decitabine Induces Subtype-Specific Epigenomic Remodeling and Perturbs Age-Associated Regulatory CpGs in Breast Cancer.

Areez Shafqat, Itika Arora, Arshiya Akbar, Mohammed Alfuwais, Safiah Aldubaisi, Mohammad Imran Khan, Ahmed Abu-Zaid, Firoz Ahmed, Ahmed Yaqinuddin

Abstract read
In one paragraph

Article in Cancer informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Areez ShafqatCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Itika AroraCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Arshiya AkbarCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Mohammed AlfuwaisCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Safiah AldubaisiCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0009-0009-6946-0519
Mohammad Imran KhanCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Ahmed Abu-ZaidCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Firoz AhmedDepartment of Biological Sciences, University of Jeddah, Saudi Arabia.
Ahmed YaqinuddinCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0001-7536-910X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Breast cancer (BC) subtypes such as HR+, HER2+, and triple-negative (TNBC) show distinct molecular features, treatment responses, and outcomes. DNA methylation is a key, targetable epigenetic regulator in BC. This study examined whether the DNA methyltransferase inhibitor decitabine (DAC) produces subtype-specific epigenomic and transcriptional effects in breast cancer cell lines representing distinct molecular subtypes. Methods: Gene expression and DNA methylation data from DAC-treated and untreated T-47D (Luminal-A) and JIMT-1 (HER2-amplified, trastuzumab-resistant with a TNBC-like phenotype) breast cancer cell lines were obtained from a published dataset. Differential expressions were assessed using Results: In JIMT-1, DAC caused hypomethylation at 1195 CpG sites and upregulation of 187 genes, including Conclusion: DAC induces subtype-dependent epigenomic and transcriptional remodeling, selectively disrupts age-associated regulatory programs, and underscores the need for subtype-stratified evaluation of epigenetic therapies in breast cancer.

Indexed as

breast cancerdecitabineDNA methylationepigenetic clockHorvath CpGJIMT-1METABRICsubtype-specificsurvival analysisT-47D

Identifiers

PMID42222431
PMCPMC13219924

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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.