Endometrial carcinomas are the most common malignancy of the female genital tract and the third most common cancer in women. Progesterone and oestrogen receptors (PRs, ERs) are the most widely documented prognostic and predictive factors in endometrioid adenocarcinoma. Besides the hormonal pathway involved in the progression of preneoplastic and neoplastic lesions, alterations of the DNA methylation status have been shown to be an early signal of tumorigenesis. In this study, we show that in normal endometrium, during the proliferative phase, DNA methylation and PR expression are high, with a significant decline towards the end of the secretory phase and a gradual increase in non-atypical and atypical endometrial hyperplasia; they reach their highest level in grade I, then decrease significantly in grade-II and grade-III endometrioid adenocarcinomas. During each stage, a significant positive correlation is observed between DNA methylation and PR (P<0.0001). The strong parallelism between DNA methylation and PR expression precludes establishing a precise determination regarding the timing of these events, clearly involved in the genesis of endometrioid adenocarcinoma.
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http://dx.doi.org/10.1007/s00428-004-1059-4 | DOI Listing |
Aging (Albany NY)
January 2025
Department of Public Health Sciences, University of Chicago, Chicago, IL 60615, USA.
Background: DNA methylation (DNAm) data from human samples has been leveraged to develop "epigenetic clock" algorithms that predict age and other aging-related phenotypes. Some DNAm clocks were trained using DNAm obtained from blood cells, while other clocks were trained using data from diverse tissue/cell types. To assess how DNAm clocks perform across non-blood tissue types, we applied DNAm algorithms to DNAm data generated from 9 different human tissue types.
View Article and Find Full Text PDFBMC Mol Cell Biol
January 2025
Epigenetics Programme, Babraham Institute, Cambridge, CB22 3AT, UK.
Background: During the latter stages of their development, mammalian oocytes under dramatic chromatin reconfiguration, transitioning from a non-surrounded nucleolus (NSN) to a surrounded nucleolus (SN) stage, and concomitant transcriptional silencing. Although the NSN-SN transition is known to be essential for developmental competence of the oocyte, less is known about the accompanying molecular changes. Here we examine the changes in the transcriptome and DNA methylation during the NSN to SN transition in mouse oocytes.
View Article and Find Full Text PDFMol Psychiatry
January 2025
Institute of Biomedicine, Integrative Physiology and Pharmacology Unit, University of Turku, Turku, Finland.
Childhood maltreatment exposure (CME) increases the risk of adverse long-term health consequences for the exposed individual. Animal studies suggest that CME may also influence the health and behaviour in the next generation offspring through CME-driven epigenetic changes in the germ line. Here we investigated the associated between early life stress on the epigenome of sperm in humans with history of CME.
View Article and Find Full Text PDFSci Rep
January 2025
Jiangxi Key Laboratory of Molecular Medicine, Jiangxi Medical College, The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, 330006, China.
SMAD3, a protein-coding gene, assumes a pivotal role within the transforming growth factor-beta (TGF-β) signaling pathway. Notably, aberrant SMAD3 expression has been linked to various malignancies. Nevertheless, an extensive examination of the comprehensive pan-cancer impact on SMAD3's diagnostic, prognostic, and immunological predictive utility has yet to be undertaken.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
We have developed the regionalpcs method, an approach for summarizing gene-level methylation. regionalpcs addresses the challenge of deciphering complex epigenetic mechanisms in diseases like Alzheimer's disease. In contrast to averaging, regionalpcs uses principal components analysis to capture complex methylation patterns across gene regions.
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