Multiple omics levels of chronic lymphocytic leukemia

Area of Science:

• Hematology
• Oncology
• Genomics

Background:

• Chronic lymphocytic leukemia (CLL) is the most common leukemia in Western countries, affecting mature B cells.
• Current treatments show promise, but aggressive forms like Richter transformation remain challenging due to disease heterogeneity.
• Fragmented omics data hinders comprehensive research and the development of targeted therapies for CLL.

Purpose of the Study:

• To review and aggregate key findings from various omics studies in CLL.
• To emphasize the importance of multi-omics approaches for understanding CLL complexity.
• To provide a foundation for future research integrating diverse biological data.

Main Methods:

• Literature analysis of studies across genomics, epigenomics, transcriptomics, epitranscriptomics, proteomics, epiproteomics, metabolomics, glycomics, and lipidomics.
• Inclusion of multi-omics approaches that combine data from different levels.
• Compilation of a list of 102 CLL-associated genes with genomic information.

Main Results:

• Single-omics studies provide valuable data but miss intricate biological interplay.
• Multi-omics studies integrate diverse data layers, offering a more holistic view of complex diseases like CLL.
• The review presents examples of how different omics levels contribute to understanding CLL.

Conclusions:

• Multi-omics integration is crucial for unraveling the complexity of CLL.
• Future multi-omics research can lead to improved, subtype-specific treatment strategies.
• Identifying novel biomarkers and therapeutic targets for CLL is a key outcome of integrated omics research.