Background:Cancer remains a global health challenge, characterized not just by uncontrolled cell proliferation but also by the complex metabolic reprogramming that underlies its development and progression.Objectives:This review delves into the intricate relationship between cancer and its metabolic alterations, drawing an innovative comparison with the cosmological concepts of dark matter and dark energy to highlight the pivotal yet often overlooked role of metabolic reprogramming in tumor evolution.Methods:It scrutinizes the Warburg effect and other metabolic adaptations, such as shifts in lipid synthesis, amino acid turnover, and mitochondrial function, driven by mutations in key regulatory genes.Results:This review emphasizes the significance of targeting these metabolic pathways for therapeutic intervention, outlining the potential to disrupt cancer’s energy supply and signaling mechanisms. It calls for an interdisciplinary research approach to fully understand and exploit the intricacies of cancer metabolism, pointing toward metabolic reprogramming as a promising frontier for developing more effective cancer treatments.Conclusion:By equating cancer’s metabolic complexity with the enigmatic nature of dark matter and energy, this review underscores the critical need for innovative strategies in oncology, highlighting the importance of unveiling and targeting the “dark energy” within cancer cells to revolutionize future therapy and research.
背景：癌症仍是全球性的健康挑战，其特点不仅在于细胞不受控制的增殖，更在于支撑其发生发展的复杂代谢重编程过程。 目的：本综述深入探讨癌症与其代谢改变之间的复杂关系，创新性地将其与宇宙学中的暗物质和暗能量概念进行类比，以揭示代谢重编程在肿瘤演化中关键却常被忽视的作用。 方法：通过分析关键调控基因突变驱动的瓦博格效应及其他代谢适应机制（如脂质合成转变、氨基酸代谢转换及线粒体功能变化），系统梳理肿瘤代谢特征。 结果：本文强调靶向这些代谢通路对于治疗干预的重要意义，阐明了通过破坏癌细胞能量供应与信号传导机制的治疗潜力，并呼吁采用跨学科研究方法以全面理解和利用癌症代谢的复杂性，将代谢重编程视为开发更有效癌症治疗的前沿领域。 结论：通过将癌症代谢的复杂性与暗物质、暗能量的神秘本质相类比，本综述强调肿瘤学领域亟需创新策略，揭示并靶向癌细胞内的“暗能量”将为未来治疗与研究带来革命性突破。
Insights into Metabolic Reprogramming in Tumor Evolution and Therapy
肿瘤(癌症)患者之家