Precision medicine in the era of multi-omics: can the data tsunami guide rational treatment decision?

🤖 Plain-English Summary

Precision medicine for cancer is rapidly moving to an approach that integrates multiple dimensions of the biology in order to model mechanisms of cancer progression in each patient. The advent of abundant complex biological data will make artificial intelligence algorithms indispensable for thorough analysis.

🔑 Key Findings

• The discovery of multiple drivers per tumor challenges medical decision that faces several treatment options.
• Drug sensitivity depends on the actionability of the target, its clonal or subclonal origin and coexisting genomic alterations.
• Sequencing has revealed a large diversity of drivers emerging at treatment failure, which are potential targets for clinical trials or drug repurposing.

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