Despite recent advances in clinical treatment, pancreatic cancer remains a highly lethal malignancy. In order to improve the survival rate of patients with pancreatic cancer, the development of non-invasive diagnostic methods using effective biomarkers is urgently needed. Here, we developed a highly sensitive method to detect DNA methylation in cell-free (cf)DNA samples based on the enrichment of methyl-CpG binding (MBD) protein coupled with a digital PCR method (MBD-ddPCR). Five DNA methylation markers for the diagnosis of pancreatic cancer were identified through DNA methylation microarray analysis in 37 pancreatic cancers. The sensitivity and specificity of the five markers were validated in another independent cohort of pancreatic cancers (100% and 100%, respectively; n = 46) as well as in The Cancer Genome Atlas data set (96% and 90%, respectively; n = 137). MBD-ddPCR analysis revealed that DNA methylation in at least one of the five markers was detected in 23 (49%) samples of cfDNA from 47 patients with pancreatic cancer. Further, a combination of DNA methylation markers and the KRAS mutation status improved the diagnostic capability of this method (sensitivity and specificity, 68% and 86%, respectively). Genome-wide MBD-sequencing analysis in cancer tissues and corresponding cfDNA revealed that more than 80% of methylated regions were overlapping; DNA methylation profiles of cancerous tissues and cfDNA significantly correlated with each other (R = 0.97). Our data indicate that newly developed MBD-ddPCR is a sensitive method to detect cfDNA methylation and that using five marker genes plus KRAS mutations may be useful for the detection of pancreatic cancers.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286528 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0233782 | PLOS |
Cell Mol Life Sci
January 2025
Department of Clinical Laboratory, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, China.
Non-small cell lung cancer (NSCLC) has emerged as one of the most prevalent malignancies worldwide. N6-methyladenosine (mA) methylation, a pervasive epigenetic modification in long noncoding RNAs (lncRNAs), plays a crucial role in NSCLC progression. Here, we report that mA modification and the expression of the lncRNA stem cell inhibitory RNA transcript (SCIRT) was significantly upregulated in NSCLC tissues and cells.
View Article and Find Full Text PDFPhysiol Genomics
January 2025
Research Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, D-18196 Dummerstorf, Germany.
Decades of artificial selection have markedly enhanced egg production efficiency, yet the epigenetic underpinnings, notably DNA methylation dynamics in the gut, remain largely unexplored. Here, we investigate how breeds and developmental stages influence DNA methylation profiles in laying hens, and their potential relationship to laying performance and gut health. We compared two highly selected laying hen strains, Lohmann Brown-Classic (LB) and Lohmann LSL-Classic (LSL), which exhibited similar egg production but divergent physiological, metabolic, and immunological characteristics.
View Article and Find Full Text PDFJ Exp Bot
January 2025
Plant epigenomics, TUM School of Life Sciences, Technical University of Munich, 85354, Freising, Germany.
J Exp Bot
January 2025
College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China.
Flowering, a pivotal plant lifecycle event, is intricately regulated by environmental and endogenous signals via genetic and epigenetic mechanisms. Photoperiod is a crucial environmental cue that induces flowering by activating integrators through genetic and epigenetic pathways. However, the specific role of DNA methylation, a conserved epigenetic marker, in photoperiodic flowering remains unclear.
View Article and Find Full Text PDFJ Anim Breed Genet
January 2025
Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), CSIC, Madrid, Spain.
The advancement of epigenetics has highlighted DNA methylation as an intermediate-omic influencing gene regulation and phenotypic expression. With emerging technologies enabling the large-scale and affordable capture of methylation data, there is growing interest in integrating this information into genetic evaluation models for animal breeding. This study used methylome information from six dairy cows to simulate the methylation profile of 13,183 genotyped animals.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!