ArticlePeerJ2021
Comprehensive analysis based on DNA methylation and RNA-seq reveals hypermethylation of the up-regulated WT1 gene with potential mechanisms in PAM50 subtypes of breast cancer.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- Biomarker-driven neoadjuvant immunotherapy in triple-negative breast cancer: emerging therapeutic targets FOXP3 and WT1.Frontiers in immunology · 2026Review
- Identification of candidate biomarkers correlated with the pathogenesis of breast cancer patients.Scientific reports · 2025Article
- Article
- Crosstalk of methylation and tamoxifen in breast cancer (Review).Molecular medicine reports · 2024Review
- Overexpression of WT1 in all molecular subtypes of breast cancer and its impact on survival: exploring oncogenic and tumor suppressor roles of distinct WT1 isoforms.Molecular biology reports · 2024Article
- Unveiling Collagen's Role in Breast Cancer: Insights into Expression Patterns, Functions and Clinical Implications.International journal of general medicine · 2024Review
- Pan-cancer analysis reveals IGFL2 as a potential target for cancer prognosis and immunotherapy.Scientific reports · 2023Article
- Identification of microtubule-associated biomarkers in diffuse large B-cell lymphoma and prognosis prediction.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast cancer (BC), one of the most widespread cancers worldwide, caused the deaths of more than 600,000 women in 2018, accounting for about 15% of all cancer-associated deaths in women that year. In this study, we aimed to discover potential prognostic biomarkers and explore their molecular mechanisms in different BC subtypes using DNA methylation and RNA-seq.
methodsWe downloaded the DNA methylation datasets and the RNA expression profiles of primary tissues of the four BC molecular subtypes (luminal A, luminal B, basal-like, and HER2-enriched), as well as the survival information from The Cancer Genome Atlas (TCGA). The highly expressed and hypermethylated genes across all the four subtypes were screened. We examined the methylation sites and the downstream co-expressed genes of the selected genes and validated their prognostic value using a different dataset (GSE20685). For selected transcription factors, the downstream genes were predicted based on the Gene Transcription Regulation Database (GTRD). The tumor microenvironment was also evaluated based on the TCGA dataset.
resultsWe found that Wilms tumor gene 1 (
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