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Aberrant DNA methylation plays a crucial role in cancer development; however, prospective evidence of an interaction between molecular biomarkers and cancer staging for predicting the prognosis of colorectal cancer (CRC) is still limited. We examined DNA methylation in tumors and adjacent normal tissues from patients who underwent CRC surgical resection, and evaluated the interaction between cancer staging (advanced vs local) and DNA methylation to predict the prognosis of CRC. We recruited 132 patients with CRC from Tri-Service General Hospital in Taiwan and used the candidate gene approach to select 3 tumor suppressor genes involved in carcinogenesis pathways. ORs and 95% CIs were computed using logistic regression analyses while adjusting for potential covariates. Advanced cancer stage was correlated with cancer recurrence (OR 7.22, 95% CI 2.82 to 18.45; p<0.001). In addition, after stratification by promoter methylation in 3 combined genes in the matched normal tissues, we observed a joint effect after adjusting for sex, age at surgery, and adjuvant chemotherapy, yielding a significant OR of 20.35 (95% CI 4.16 to 99.57; p<0.001). DNA methylation status would significantly increase the recurrence risk of CRC with a significant impact on joint effect between DNA methylation and clinical stage, particularly in matched normal tissues. This was attributed to molecular changes that could not be examined on the basis of clinical pathology. Our interaction results may serve as a reference marker for evaluating the risk of recurrence in future studies.
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http://dx.doi.org/10.1136/jim-2016-000086 | DOI Listing |
Clin Epigenetics
September 2025
Department of Psychiatry and Psychotherapy, Philipps University Marburg, Marburg, Germany.
Background: Work-related stress is a well-established contributor to mental health decline, particularly in the context of burnout, a state of prolonged exhaustion. Epigenetic clocks, which estimate biological age based on DNA methylation (DNAm) patterns, have been proposed as potential biomarkers of chronic stress and its impact on biological aging and health. However, their role in mediating the relationship between work-related stress, physiological stress markers, and burnout remains unclear.
View Article and Find Full Text PDFImmunol Cell Biol
September 2025
Department of Biotechnology, Indian Institute of Technology Hyderabad (IITH), Sangareddy, Telangana, India.
The immune system uses a variety of DNA sensors, including endo-lysosomal Toll-like receptors 9 (TLR9) and cytosolic DNA sensor cyclic GMP-AMP (cGAMP) synthase (cGAS). These sensors activate immune responses by inducing the production of a variety of cytokines, including type I interferons (IFN). Activation of cGAS requires DNA-cGAS interaction.
View Article and Find Full Text PDFBiochem Pharmacol
September 2025
Department of Biosciences, JIS University, 81, Nilgunj Road, Agarpara, Kolkata, West Bengal 700109, India. Electronic address:
The malignant manifestation of breast cancer is driven by complex molecular alterations that extend beyond genetic mutations to include epigenetic dysregulation. Among these, DNA methylation is a critical and reversible epigenetic modification that significantly influences breast cancer initiation, progression, and therapeutic resistance. This process, mediated by DNA methyltransferases (DNMTs), involves the addition of methyl groups to cytosine residues within CpG dinucleotides, resulting in transcriptional repression of genes.
View Article and Find Full Text PDFMol Hum Reprod
September 2025
Department of Obstetrics and Gynecology, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.
Infertility impacts up to 17.5% of reproductive-aged couples worldwide. To aid in conception, many couples turn to assisted reproductive technology, such as IVF.
View Article and Find Full Text PDFEpigenomics
September 2025
College of Physical Education, Yangzhou University, Yangzhou, China.
Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder lacking objective biomarkers for early diagnosis. DNA methylation is a promising epigenetic marker, and machine learning offers a data-driven classification approach. However, few studies have examined whole-blood, genome-wide DNA methylation profiles for ASD diagnosis in school-aged children.
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