Complex systems analysis by omics

In medicine, the unraveling of etiologies, risk factors, disease mechanisms, and genotypes/phenotypes is essential for effective therapy, particularly for complex disorders. In this issue of Blood, Meier-Abt et al1 report a complex systems analysis of chronic lymphocytic leukemia (CLL) using an integrative OMICS approach together with ex vivo drug response and clinical outcome data. Using this multidimensional approach, they obtain both confirmatory and novel data that offer many opportunities for further elucidation and/or investigation to improve the therapeutic outcome of CLL.

Automated summary

This study conducted a comprehensive analysis of chronic lymphocytic leukemia using a multidimensional approach, obtaining both confirmatory and novel data that offer opportunities for improving therapeutic outcomes for the disease.