What Are Some Successful Applications of Multi-Omics in Cancer?
1. Pan-Cancer Analysis: The [Cancer Genome Atlas (TCGA)]() project has leveraged multi-omics data to perform comprehensive analyses across various cancer types, identifying common and unique molecular features.
2. Drug Response Prediction: Multi-omics approaches have been used to predict patient responses to [targeted therapies]() and [immunotherapies](), enhancing the precision of treatment strategies.
3. Understanding Metastasis: Integrative omics studies have provided insights into the molecular mechanisms underlying cancer metastasis, helping to identify potential therapeutic targets to prevent or treat metastatic disease.
4. Liquid Biopsies: Multi-omics analyses of circulating tumor DNA (ctDNA), exosomes, and other biofluids are being developed for non-invasive cancer detection and monitoring.
