Landscape of TP53 Alterations in Chronic Lymphocytic Leukemia Data Mining Mutation Databases.

Locus-specific databases are invaluable tools for both basic and clinical research. The extensive information they contain is gathered from the literature and manually curated by experts. Cancer genome sequencing projects generate an immense amount of data, which are stored directly in large repositories (cancer genome databases). The presence of a defect (17p deletion and/or mutations) is an independent prognostic factor in chronic lymphocytic leukemia (CLL) and status analysis has been adopted in routine clinical practice. For that reason, mutation databases have become essential for the validation of the plethora of variants detected in tumor samples. profiles in CLL are characterized by a great number of subclonal mutations with low variant allelic frequencies and the presence of multiple minor subclones harboring different mutations. In this review, we describe the various characteristics of the multiple levels of heterogeneity of variants in CLL through the analysis of mutation databases and the utility of their diagnosis in the clinic.