Metabolic tumor burden: A new promising way to reach precise personalized therapy in PDAC
Metabolic tumor burden: A new promising way to reach precise personalized therapy in PDAC
复制标题
代谢肿瘤负荷:PDAC 中实现精确个性化治疗的一种新的有前途的方法
DOI:
10.1016/j.canlet.2015.01.023
复制
发表时间:
2015
期刊:
影响因子:
9.7
通讯作者:
Xianjun Yu
中科院分区:
文献类型:
--
作者:
Jinfeng Xiang;Liang Liu;Wenquan Wang;Huaxiang Xu;Chuntao Wu;Jin Xu;Chen Liu;Jiang Long;Quanxing Ni;Xianjun Yu
Pancreatic cancer is currently one of the deadliest solid malignancies and pancreatic ductal adenocarcinoma (PDAC) is the most common type of pancreatic cancer. In the past decade, diagnostics and surgical techniques for PDAC have been evolving steadily; however, clinical outcomes of patients with PDAC have shown little, if any, improvement. Subgroup classification based on accurate prediction of prognosis in patients with pancreatic cancer is important for treatment selection and clinical decision-making. The traditional method to evaluate prognosis relies on the TNM staging system, but it may not reflect the true status of every patient due to individual biological differences. Metabolomics is a field of study that involves the identification and quantification of metabolites present in a biological system. Analysis of metabolic differences between cancerous and noncancerous tissues can provide novel insights into tumor biology that are closely associated with disease prognosis and diagnosis. Therefore, evaluation of metabolic tumor burden may improve the accuracy of the clinical decision-making process, thereby facilitating optimization of the treatment strategies for pancreatic cancer.