Abstract |
The aim of this work was to assess the impact on measurements of methylation of a panel of four cancer gene promoters of purifying tumor cells from colorectal tissue samples using the epithelial cell adhesion molecule ( EpCAM)-immunomagnetic cell enrichment approach. We observed that, on average, methylation levels were higher in enriched cell fractions than in the whole tissue, but the difference was significant only for one out of four studied genes. In addition, there were strong correlations between methylation values for individual samples of whole tissue and the corresponding enriched cell fractions. Therefore, assays on whole tissue are likely to provide reliable estimates of tumor-specific methylation of cancer genes. However, tumor cell tissue separation using immunomagnetic beads could, in some cases, give a more accurate value of gene promoter methylation than the analysis of the whole cancer tissue, although relatively expensive and time-consuming. The efficacy and feasibility of the immunomagnetic cell sorting for methylation studies are discussed.
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Authors | Alessandra Failli, Annalisa Legitimo, Francesca Migheli, Fabio Coppedè, John C Mathers, Roberto Spisni, Paolo Miccoli, Lucia Migliore, Rita Consolini |
Journal | International journal of molecular sciences
(Int J Mol Sci)
Vol. 15
Issue 1
Pg. 44-57
(Dec 20 2013)
ISSN: 1422-0067 [Electronic] Switzerland |
PMID | 24362576
(Publication Type: Evaluation Study, Journal Article, Research Support, Non-U.S. Gov't)
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Chemical References |
- Antigens, Neoplasm
- Biomarkers, Tumor
- Cell Adhesion Molecules
- Epithelial Cell Adhesion Molecule
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Topics |
- Aged
- Aged, 80 and over
- Antigens, Neoplasm
(immunology, metabolism)
- Biomarkers, Tumor
(genetics, metabolism)
- Cell Adhesion Molecules
(immunology, metabolism)
- Colorectal Neoplasms
(metabolism, pathology)
- CpG Islands
- DNA Methylation
- Epithelial Cell Adhesion Molecule
- Female
- Flow Cytometry
- Humans
- Immunomagnetic Separation
- Male
- Middle Aged
- Neoplasm Staging
- Promoter Regions, Genetic
- Sequence Analysis, DNA
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