This book explores the role of cancer stem cells in the diagnosis treatment and cure of
cancers. This book also tackles novel methodology for cancer stem cell marker identification
cancer stem cell respiration and metabolism genetic and epigenetic mechanisms including DNA
methylation and mi-RNA assemble. It also emphasizes the role of Bioinformatics techniques
which provide a novel methodology for modeling cancer outcomes. The authors investigate the
difference between cancer stem cells and normal stem cells along with the concept of targeted
cancer stem cell therapy. Although the theoretical explanations of cancer stem cell involvement
in leukemia and solid cancers are controversial there is now little doubt that cancer stem
cells exist within otherwise heterogeneous cancer cell population. The brief examines the two
leading theories hierarchical and the stochastic cancer stem cell model. Researchers
professors and advanced-level students focused on bioengineering and computer science will find
this book to be a valuable resource. It is a very good source of critical references for
understanding of this problem and a useful tool for professionals in related fields.
