From Single Level Analysis to Multi-Omics Integrative Approaches: A Powerful Strategy towards the Precision Oncology

Integration of multi-omics data from different molecular levels with clinicaldata, as well as epidemiologic risk factors, represents an accurate and promisingmethodology to understand the complexity of biological systems of human diseases,including cancer. By the extensive use of novel technologic platforms, a largenumber of multidimensional data can be derived from analysis of health anddisease systems. Comprehensive analysis of multi-omics data in an integratedframework, which includes cumulative effects in the context of biologicalpathways, is therefore eagerly awaited. This strategy could allow theidentification of pathway-addiction of cancer cells that may be amenable totherapeutic intervention. However, translation into clinical settings requires anoptimized integration of omics data with clinical vision to fully exploitprecision cancer medicine. We will discuss the available technical approach andmore recent developments in the specific field.