ArticleBiological research2015
Colorectal cancer DNA methylation patterns from patients in Manaus, Brazil.
Article in Biological research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Correlation of DAPK1 methylation and the risk of gastrointestinal cancer: A systematic review and meta-analysis.PloS one · 2017Pooled it
- Review
- Restoration of DAP Kinase Tumor Suppressor Function: A Therapeutic Strategy to Selectively Induce Apoptosis in Cancer Cells Using Immunokinase Fusion Proteins.Biomedicines · 2017Review
- The association, clinicopathological significance, and diagnostic value ofOncoTargets and therapy · 2016Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDNA methylation is commonly linked with the silencing of the gene expression for many tumor suppressor genes. As such, determining DNA methylation patterns should aid, in times to come, in the diagnosis and personal treatment for various types of cancers. Here, we analyzed the methylation pattern from five colorectal cancer patients from the Amazon state in Brazil for four tumor suppressor genes, viz.: DAPK, CDH1, CDKN2A, and TIMP2 by employing a polymerase chain reaction (PCR) specific to methylation. Efforts in the study of colorectal cancer are fundamental as it is the third most of highest incidence in the world.
resultsTumor biopsies were methylated in 1/5 (20%), 2/5 (40%), 4/5 (80%), and 4/5 (80%) for CDH1, CDKN2A, DAPK, and TIMP2 genes, respectively. The margin biopsies were methylated in 3/7 (43%), 2/7 (28%), 7/7 (100%), and 6/7 (86%) for CDH1, CDKN2A, DAPK, and TIMP2, respectively.
conclusionsOur findings showed DAPK and TIMP2 to be methylated in most samples from both tumor tissues and adjacent non-neoplastic margins; thus presenting distinct methylation patterns. This emphasizes the importance of better understanding of the relation of these patterns with cancer in the context of different populations.
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