Integration of genomic data (e.g., SNPs in SIRT1, SIRT3, PGC‐1α), transcriptomic signatures (e.g., inflammatory and proliferative gene expression), and metabolomic profiles (e.g., NAD+/NADH ratio, redox metabolites) can identify individuals at high cancer risk. Here, SIRT3 is linked to cancer.