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Having broad specificity for xenobiotics metabolism throughout the body, cytochrome P450 (CYP) isoform 1A1 is of key relevance for carcinogenesis. However, the oncogenic potential of its altered transcription and the underlying mechanism has not been well-established in breast cancer. Direct bisulfite sequencing PCR (BSP) of the CYP1A1 promoter, enriched by 113 CpGs within and flanking the xenobiotic response elements (XREs) 2 to 10, in paired cancerous and normal tissues from 40 breast cancer patients revealed three distinctly methylated patterns; unmethylated (XREs 2 to 6) and completely methylated (XREs 7 and 8) CpGs, in common for the normal and cancerous tissues, and a putative 171bp CpG block (XREs 9 and 10) contiguously hypermethylated in the tumor tissues. Increased transcription of CYP1A1, observed for the cancerous tissues, was correlated with the hypermethylation of given CpG block, besides simultaneously being associated with upregulation of the anti-apoptotic BCL-2. Clinical value of the methylation changes, investigated based on the comparisons between the tissue cohorts of different clinicopathological features, exhibited gradual hypermethylation of the corresponding CpG block following disease progression as well as lymphatic involvement. Hypermethylation of given CpG block may has potential to be used as a biomarker for diagnosis and progression of breast cancer.
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http://dx.doi.org/10.1016/j.yexcr.2022.113062 | DOI Listing |
Signal Transduct Target Ther
August 2025
Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Essen, Essen, University of Duisburg-Essen, Essen, 45147, Germany.
Neutrophils have emerged as key players in tumor progression and are often associated with poor prognosis. Despite ongoing efforts to target neutrophil functions in cancer, therapeutic success has been limited. In this study, we addressed the possibility of blocking STAT3 signaling in neutrophils as a targeted therapeutic intervention in cancer.
View Article and Find Full Text PDFCell Rep
August 2025
Key Laboratory of RNA Innovation, Science and Engineering, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China. Electronic address:
In heterogeneous tumors, adjacent CpG sites form methylation haplotype blocks (MHBs), genomic regions where methylation status reflects local epigenetic concordance. While MHBs have been implicated in gene dysregulation, their pan-cancer dynamics and clinical relevance remain unclear. We profiled 110 primary tumors across 11 common solid cancer types, identifying 81,567 MHBs.
View Article and Find Full Text PDFBrief Bioinform
July 2025
School of Software, Dalian University of Technology, No. 2 Linggong Road, 116024 Liaoning, China.
DNA methylation is a key epigenetic modification involved in biological processes and disease development. The accurate analysis of DNA methylation site information is of significant biological importance. Despite advances in single-cell sequencing, data sparsity due to low cytosine-phosphate-guanine (CpG) coverage remains a challenge.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
July 2025
Division of Human Health, Key Laboratory of Molecular Epigenetics of the Ministry of Education, Northeast Normal University, Changchun, Jilin 130024, China.
8-oxo-7,8-dihydroguanine (8-oxoG), the most frequent form of oxidative-DNA-base lesion caused by ROS, is recognized and repaired by 8-oxoguanine DNA glycosylase 1 (OGG1) through base excision repair (BER) pathway. Beyond its role in DNA repair, OGG1 has been shown to promote transcriptional activation of proinflammatory mediators and contribute to both acute and chronic lung inflammation. However, pioneering studies have shown an anti-inflammation role for OGG1 in inflammatory bowel disease (IBD), but its underlying molecular mechanism remains unclear.
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July 2025
Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel. Electronic address:
Age-dependent changes in DNA methylation allow chronological and biological age inference, but the underlying mechanisms remain unclear. Using ultra-deep sequencing of >300 blood samples from healthy individuals, we show that age-dependent methylation changes occur regionally across clusters of CpG sites either stochastically or in a coordinated block-like manner. Deep learning of single-molecule patterns from two genomic loci predicts chronological age with a median accuracy of 1.
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