Kumar Rishabh, Mishra Anurag, Gautam Priyanka, Feroz Zainab, Vijayaraghavalu Sivakumar, Likos Eviania M, Shukla Girish C, Kumar Munish
Department of Biochemistry, Faculty of Science, University of Allahabad, Prayagraj 211002, UP, India.
Department of Life Sciences (Zoology), Manipur University, Imphal 795003, MN, India.
Cancers (Basel). 2022 Oct 27;14(21):5268. doi: 10.3390/cancers14215268.
Metabolic reprogramming enables cancer cells to proliferate and produce tumor biomass under a nutrient-deficient microenvironment and the stress of metabolic waste. A cancer cell adeptly undergoes a variety of adaptations in metabolic pathways and differential expression of metabolic enzyme genes. Metabolic adaptation is mainly determined by the physiological demands of the cancer cell of origin and the host tissue. Numerous metabolic regulators that assist cancer cell proliferation include uncontrolled anabolism/catabolism of glucose metabolism, fatty acids, amino acids metabolism, nucleotide metabolism, tumor suppressor genes, microRNAs, and many regulatory enzymes and genes. Using this paradigm, we review the current understanding of metabolic reprogramming in tumors and discuss the new strategies of cancer metabolomics that can be tapped into for cancer therapeutics.
代谢重编程使癌细胞能够在营养缺乏的微环境和代谢废物的压力下增殖并产生肿瘤生物质。癌细胞巧妙地在代谢途径和代谢酶基因的差异表达方面进行各种适应性变化。代谢适应主要由起源癌细胞和宿主组织的生理需求决定。许多协助癌细胞增殖的代谢调节因子包括葡萄糖代谢、脂肪酸、氨基酸代谢、核苷酸代谢的失控合成代谢/分解代谢、肿瘤抑制基因、微小RNA以及许多调节酶和基因。利用这一范式,我们综述了目前对肿瘤中代谢重编程的理解,并讨论了可用于癌症治疗的癌症代谢组学新策略。