Department of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, Aomori, 036-8562, Japan.
Department of Pathology and Bioscience, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, 036-8562, Japan.
J Gastroenterol. 2022 Oct;57(10):798-811. doi: 10.1007/s00535-022-01898-0. Epub 2022 Jul 3.
Evolutionary cancer has a supply mechanism to satisfy higher energy demands even in poor-nutrient conditions. Metabolic reprogramming is essential to supply sufficient energy. The relationship between metabolic reprogramming and the clinical course of pancreatic ductal adenocarcinoma (PDAC) remains unclear. We aimed to clarify the differences in metabolic status among PDAC patients.
We collected clinical data from 128 cases of resectable PDAC patients undergoing surgery. Sixty-three resected tissues, 15 tissues from the low carbohydrate antigen 19-9 (CA19-9), 38-100 U/mL, and high CA19-9, > 500 U/mL groups, and 33 non-tumor control parts, were subjected to tandem mass spectrometry workflow to systematically explore metabolic status. Clinical and proteomic data were compared on the most used PDAC biomarker, preoperative CA19-9 value.
Higher CA19-9 levels were clearly associated with higher early recurrence (p < 0.001), decreased RFS (p < 0.001), and decreased DSS (p = 0.025). From proteomic analysis, we discovered that cancer evolution-related as well as various metabolism-related pathways were more notable in the high group. Using resected tissue immunohistochemical staining, we learned that high CA19-9 PDAC demonstrated aerobic glycolysis enhancement, yet no decrease in protein synthesis. We found a heterogeneity of various metabolic processes, including carbohydrates, proteins, amino acids, lipids, and nucleic acids, between the low and the high groups, suggesting differences in metabolic adaptive capacity.
Our study found metabolic adaptation differences among PDAC cases, pertaining to both cancer evolution and the prognosis. CA19-9 can help estimate the metabolic adaptive capacity of energy supply for PDAC evolution.
进化中的癌症拥有一种供应机制,可以在营养条件较差的情况下满足更高的能量需求。代谢重编程对于提供足够的能量至关重要。代谢重编程与胰腺导管腺癌(PDAC)临床病程之间的关系尚不清楚。我们旨在阐明 PDAC 患者之间代谢状态的差异。
我们收集了 128 例接受手术的可切除 PDAC 患者的临床数据。对 63 份切除组织、15 份低碳水化合物抗原 19-9(CA19-9)、38-100 U/mL 组和高 CA19-9、>500 U/mL 组以及 33 份非肿瘤对照部分进行串联质谱工作流程,以系统地探索代谢状态。对最常用于 PDAC 生物标志物的术前 CA19-9 值进行了临床和蛋白质组学数据的比较。
较高的 CA19-9 水平与更早的复发(p<0.001)、较短的 RFS(p<0.001)和较短的 DSS(p=0.025)明显相关。通过蛋白质组学分析,我们发现癌症进化相关以及各种代谢相关途径在高组中更为显著。使用切除组织免疫组织化学染色,我们了解到高 CA19-9 PDAC 表现出有氧糖酵解增强,但蛋白质合成没有减少。我们发现低组和高组之间存在各种代谢过程的异质性,包括碳水化合物、蛋白质、氨基酸、脂质和核酸,这表明代谢适应能力的差异。
我们的研究发现 PDAC 病例之间存在代谢适应差异,涉及癌症进化和预后。CA19-9 可以帮助评估 PDAC 进化的能量供应代谢适应能力。