Cancer is a highly complex and heterogeneous disease, involving multiple genetic and environmental factors. Multi-omics approaches allow researchers to capture this complexity by providing a multi-dimensional view. For instance, while genomics can identify mutations, transcriptomics can reveal how those mutations affect gene expression. Proteomics can then show how changes in gene expression translate into protein abundance, and metabolomics can elucidate the biochemical pathways involved. This integrative approach can lead to more accurate cancer diagnostics, prognostics, and personalized treatment strategies.
