Precision medicine has exploited next-generation sequencing (NGS) and gene/ immune-targeted drug deployment to transform the outlook for several lethal cancers. For instance, there are now several FDA-approved medications that target the sequelae of aberrant genes in a tissue-agnostic approach: pembrolizumab [microsatellite instability and tumor mutational burden (TMB) ≥10 mutations/megabase (mut/Mb)] and larotrectinib/entrectinib (NTRK fusions). Molecular interrogation further reveals the disruptive reality that metastatic cancers are tremendously complex and individually distinct. Therefore, optimized treatment often requires drug combinations (rather than monotherapy) and N-of-one customization. Early studies of this approach suggest feasibility, safety, and efficacy. Real-world data/master registry trials may also provide massive, clinically relevant datasets that further fuel the (r)evolution in oncology.
HighlightsNext-generation sequencing has led to four tissue-agnostic FDA approvals, including for gene-and immune-targeted agents for patients with cancer High levels of tumor heterogeneity and genomic complexity that differ from patient to patient suggest that individualized N-of-one therapy combinations are a necessary next step for treatment optimization Real-world data and advanced digital data mining has already been used for more FDA approvals and are likely to result in more in the future