Abstract:

In-tumor genomic heterogeneity is a common condition in cancer. In normal conditions, each cell has two copies of each gene, and other cells of the organism carry the same DNA series, with some exceptions. In cancer cells, however, the result of mutations and DNA deletions and additions, this regular structure becomes a complex and heterogeneous structure. The cause of this genetic heterogeneity and its role in the formation of tumors is a major problem that has been widely studied recently in light of the developments in the technologies of genetic data production. High-resolution homogeneous samples obtained from the same tumor are of great importance in studies to understand heterogeneity. The difficulties in accessing the necessary cancer tissue, and if necessary, the financial limits are the obstacles to obtaining such high-definition datasets. Glioblastoma multiforme is the most common and most aggressive brain tumor, with an average life of about fifteen months after diagnosis. In this study, a high-resolution set of data obtained using detailed homogeneous and heterogeneous samples taken from a glioblastoma patient will be examined and analysed.

Keywords: