CICECO - Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Campus de Santiago, Aveiro, Portugal; iBiMED - Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Campus de Santiago, Aveiro, Portugal.
iBiMED - Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Campus de Santiago, Aveiro, Portugal.
Eur J Cancer. 2019 Nov;121:154-171. doi: 10.1016/j.ejca.2019.09.002. Epub 2019 Sep 30.
During tumorigenesis, breast tumour cells undergo metabolic reprogramming, which generally includes enhanced glycolysis, tricarboxylic acid cycle activity, glutaminolysis and fatty acid biosynthesis. However, the extension and functional importance of these metabolic alterations may diverge not only according to breast cancer subtypes, but also depending on the interaction of cancer cells with the complex surrounding microenvironment. This microenvironment comprises a variety of non-cancerous cells, such as immune cells (e.g. macrophages, lymphocytes, natural killer cells), fibroblasts, adipocytes and endothelial cells, together with extracellular matrix components and soluble factors, which influence cancer progression and are predictive of clinical outcome. The continuous interaction between cancer and stromal cells results in metabolic competition and symbiosis, with oncogenic-driven metabolic reprogramming of cancer cells shaping the metabolism of neighbouring cells and vice versa. This review addresses current knowledge on this metabolic crosstalk within the breast tumour microenvironment (TME). Improved understanding of how metabolism in the TME modulates cancer development and evasion of tumour-suppressive mechanisms may provide clues for novel anticancer therapeutics directed to metabolic targets.
在肿瘤发生过程中,乳腺肿瘤细胞经历代谢重编程,通常包括增强的糖酵解、三羧酸循环活性、谷氨酰胺分解和脂肪酸生物合成。然而,这些代谢改变的扩展和功能重要性不仅可能根据乳腺癌亚型而有所不同,而且还可能取决于癌细胞与复杂的周围微环境的相互作用。这个微环境包含各种非癌细胞,如免疫细胞(如巨噬细胞、淋巴细胞、自然杀伤细胞)、成纤维细胞、脂肪细胞和内皮细胞,以及细胞外基质成分和可溶性因子,它们影响癌症的进展并可预测临床结局。癌症与基质细胞的持续相互作用导致代谢竞争和共生,致癌驱动的肿瘤细胞代谢重编程塑造了邻近细胞的代谢,反之亦然。这篇综述探讨了目前关于乳腺肿瘤微环境(TME)中这种代谢串扰的知识。更好地了解 TME 中的代谢如何调节癌症的发展和逃避肿瘤抑制机制,可能为针对代谢靶点的新型抗癌治疗提供线索。