PloS one, 2015-06, Vol.10 (6), p.e0128814-e0128814
2015
Volltextzugriff (PDF)
Details
- Autor(en) / Beteiligte
- Titel
- Pancreatic cancer patient survival correlates with DNA methylation of pancreas development genes
- Ist Teil von
- PloS one, 2015-06, Vol.10 (6), p.e0128814-e0128814
- Ort / Verlag
- United States: Public Library of Science
- Erscheinungsjahr
- 2015
- Quelle
- MEDLINE
- Beschreibungen/Notizen
- DNA methylation is an epigenetic mark associated with regulation of transcription and genome structure. These markers have been investigated in a variety of cancer settings for their utility in differentiating normal tissue from tumor tissue. Here, we examine the direct correlation between DNA methylation and patient survival. We find that changes in the DNA methylation of key pancreatic developmental genes are strongly associated with patient survival.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1932-6203eISSN: 1932-6203DOI: 10.1371/journal.pone.0128814Titel-ID: cdi_plos_journals_1685759688
- Format
- –
- Schlagworte
- Aged, Aged, 80 and over, Biomarkers, Cancer, Cancer therapies, Care and treatment, Chromosomes, CpG Islands, Deoxyribonucleic acid, Development and progression, Developmental biology, Disease Progression, DNA, DNA Methylation, Epigenesis, Genetic, Female, Gene expression, Gene Expression Profiling, Gene regulation, Genes, Genetic aspects, Genomes, Genomics, High-Throughput Nucleotide Sequencing, Humans, Lymphatic Metastasis, Male, Medical prognosis, Medical research, Metastasis, Methylation, Middle Aged, Molecular Sequence Annotation, Mutation, Neoplasm Proteins - genetics, Neoplasm Proteins - metabolism, Neoplasm Staging, Pancreas, Pancreas - metabolism, Pancreas - pathology, Pancreatic cancer, Pancreatic Neoplasms - diagnosis, Pancreatic Neoplasms - genetics, Pancreatic Neoplasms - mortality, Pancreatic Neoplasms - pathology, Pancreatitis, Pancreatitis - diagnosis, Pancreatitis - genetics, Pancreatitis - pathology, Patient outcomes, Patients, Pediatrics, Physiological aspects, Principal Component Analysis, Principal components analysis, Survival, Survival Analysis, Technology application, Transcription, Tumor Burden