对肿瘤的超级复杂性和异质性的新认识得到了代谢重编程的充分支持，从而带来了生存优势。代谢重编程有助于肿瘤的反应性和对各种抗肿瘤药物的耐药性。在癌细胞响应药物引起的扰动而做出的众多适应中，涉及氨基酸和氨基酸乙酰化衍生物的关键代谢改变受到了特别关注。考虑到所讨论的这些影响，针对癌症相关代谢途径，特别是涉及乙酰化氨基酸的代谢途径，成为寻求组合抗癌策略的重要途径。因此，模拟乙酰化氨基酸的引入代表了一类有前途的新型抑制剂，可以与传统化疗药物一起使用。

The emerging understanding of the super-complex and heterogeneous nature of tumor is well supported by metabolic reprogramming, leading survival advantages. Metabolic reprogramming contributes to tumor responsiveness and resistance to various antitumor drugs. Among the numerous adaptations made by cancer cells in response to drug-induced perturbations, key metabolic alterations involving amino acids and acetylated derivatives of amino acids have received special attention. Considering these implications discussed, targeting cancer-associated metabolic pathways, particularly those involving acetylated amino acids, emerges as an important avenue in the pursuit of combinatorial anticancer strategies. As a result, the introduction of mimetic acetylated amino acids represents a promising new class of inhibitors that could be used alongside traditional chemotherapy agents.