Tufail Muhammad, Hu Jia-Ju, Liang Jie, He Cai-Yun, Wan Wen-Dong, Huang Yu-Qi, Jiang Can-Hua, Wu Hong, Li Ning
Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, China.
Institute of Oral Precancerous Lesions, Central South University, Changsha, China.
iScience. 2024 May 15;27(6):109979. doi: 10.1016/j.isci.2024.109979. eCollection 2024 Jun 21.
This review explores the hallmarks of cancer resistance, including drug efflux mediated by ATP-binding cassette (ABC) transporters, metabolic reprogramming characterized by the Warburg effect, and the dynamic interplay between cancer cells and mitochondria. The role of cancer stem cells (CSCs) in treatment resistance and the regulatory influence of non-coding RNAs, such as long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and circular RNAs (circRNAs), are studied. The chapter emphasizes future directions, encompassing advancements in immunotherapy, strategies to counter adaptive resistance, integration of artificial intelligence for predictive modeling, and the identification of biomarkers for personalized treatment. The comprehensive exploration of these hallmarks provides a foundation for innovative therapeutic approaches, aiming to navigate the complex landscape of cancer resistance and enhance patient outcomes.
本综述探讨了癌症耐药性的特征，包括由ATP结合盒（ABC）转运蛋白介导的药物外排、以瓦伯格效应为特征的代谢重编程，以及癌细胞与线粒体之间的动态相互作用。研究了癌症干细胞（CSC）在治疗耐药性中的作用以及非编码RNA（如长链非编码RNA（lncRNA）、微小RNA（miRNA）和环状RNA（circRNA））的调节影响。本章强调了未来的方向，包括免疫治疗的进展、对抗适应性耐药的策略、用于预测建模的人工智能整合，以及个性化治疗生物标志物的识别。对这些特征的全面探索为创新治疗方法奠定了基础，旨在应对癌症耐药性的复杂局面并改善患者预后。
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