利用代谢途径改善胰腺癌的诊断和治疗
Employing Metabolism to Improve the Diagnosis and Treatment of Pancreatic Cancer.
机构信息
Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA.
Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI 48109, USA.
出版信息
Cancer Cell. 2017 Jan 9;31(1):5-19. doi: 10.1016/j.ccell.2016.12.006.
Pancreatic ductal adenocarcinoma is on pace to become the second leading cause of cancer-related death. The high mortality rate results from a lack of methods for early detection and the inability to successfully treat patients once diagnosed. Pancreatic cancer cells have extensively reprogrammed metabolism, which is driven by oncogene-mediated cell-autonomous pathways, the unique physiology of the tumor microenvironment, and interactions with non-cancer cells. In this review, we discuss how recent efforts delineating rewired metabolic networks in pancreatic cancer have revealed new in-roads to develop detection and treatment strategies for this dreadful disease.
胰腺导管腺癌正成为第二大癌症相关死亡原因。高死亡率是由于缺乏早期检测方法，以及一旦确诊，无法成功治疗患者所致。胰腺癌广泛重编程代谢，这是由癌基因介导的细胞自主途径、肿瘤微环境的独特生理学以及与非癌细胞的相互作用驱动的。在这篇综述中，我们讨论了最近阐明胰腺癌中重布线代谢网络的努力如何为开发这种可怕疾病的检测和治疗策略开辟了新途径。
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