Shenoy Santosh
Department of Surgery, Kansas City VA Medical Center, University of Missouri-Kansas City, Kansas, MO 64128, United States.
World J Clin Oncol. 2025 Aug 24;16(8):106838. doi: 10.5306/wjco.v16.i8.106838.
Cell plasticity, also known as lineage plasticity, refers to the ability of a cell to reprogram and change its phenotypic identity in response to various cues. This phenomenon is context-dependent, playing a crucial role in embryonic development, tissue regeneration, and wound healing. However, when dysregulated, cell plasticity contributes to cancer initiation, progression, metastasis, and therapeutic resistance. Throughout different stages of tumor development, cancer cells exploit various forms of plasticity to evade normal regulatory mechanisms that govern cell division and homeostasis. Recent evidence highlights the complex interplay between genetic and epigenetic factors, the tumor microenvironment, and epithelial-to-mesenchymal transition in driving cancer cell plasticity. This dynamic reprogramming suggests that "deregulated cell plasticity" could be considered an additional hallmark of cancer. Advancements in next-generation sequencing and single-cell RNA analysis, combined with artificial intelligence technologies such as deep learning, along with Google's AlphaFold may help predict the trajectories of cancer cells. By predicting protein three-dimensional structures and identifying both active and potential allosteric binding sites, AlphaFold 2 can accelerate the development of new cancer drugs and therapies. For example, allosteric drugs, bind to the allosteric rather than the active sites, can induce conformational changes in proteins, affecting their activities. This can then alter the conformation of an active site that a drug-resistant mutation has created, permitting a blocked orthosteric drug to bind and this enables the design of more effective drugs that can synergize with traditional orthosteric drugs to bind and regain its efficacy. These innovations could provide deeper insights into the intricate mechanisms of cancer progression and resistance, ultimately paving the way for more precise, durable, and personalized oncologic treatments.
细胞可塑性,也称为谱系可塑性,是指细胞响应各种信号重新编程并改变其表型特征的能力。这种现象取决于具体情况,在胚胎发育、组织再生和伤口愈合中起着关键作用。然而,当细胞可塑性失调时,它会促进癌症的起始、进展、转移和治疗抵抗。在肿瘤发展的不同阶段,癌细胞利用各种形式的可塑性来逃避控制细胞分裂和内环境稳定的正常调节机制。最近的证据突出了遗传和表观遗传因素、肿瘤微环境以及上皮-间质转化在驱动癌细胞可塑性方面的复杂相互作用。这种动态重编程表明“失调的细胞可塑性”可被视为癌症的另一个标志。下一代测序和单细胞RNA分析的进展,结合深度学习等人工智能技术以及谷歌的AlphaFold,可能有助于预测癌细胞的发展轨迹。通过预测蛋白质的三维结构并识别活性和潜在的变构结合位点,AlphaFold 2可以加速新型癌症药物和疗法的开发。例如,变构药物结合到变构位点而非活性位点,可诱导蛋白质构象变化,影响其活性。这进而可以改变耐药突变产生的活性位点的构象,使受阻的正构药物能够结合,从而能够设计出更有效的药物,与传统正构药物协同作用以结合并恢复其疗效。这些创新可以更深入地洞察癌症进展和耐药的复杂机制,最终为更精确、持久和个性化的肿瘤治疗铺平道路。