Jiang Wenna, Qiao Lu, Zuo Duo, Qin Di, Xiao Jiawei, An Haohua, Wang Yanhui, Zhang Xinwei, Jin Yu, Ren Li
Department of Clinical Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Tianjin Key Laboratory of Clinical Multi-omics, Airport Economy Zone, Tianjin, China.
Ann Transl Med. 2021 Feb;9(4):358. doi: 10.21037/atm-21-295.
Pancreatic cancer (PC) has the lowest 5-year survival rate; therefore, new early screening methods and therapeutic targets are still urgently required. Emerging technologies such as metabolomic-based liquid biopsy may contribute to the field. We found aberrant lactate dehydrogenase A (LDHA) signaling to be an unfavorable biomarker for PC.
A total of 9 genes of the glycolysis pathway were detected by enrichment analysis in the PC Gene Expression Omnibus (GEO) dataset. The relationship between LDHA/pyruvate kinase (PKM)/fructose biphosphate aldolase A (ALDOA)/glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and patient survival was analyzed by Kaplan-Meier plotting analysis of The Cancer Genome Atlas (TCGA). The detection of changing metabolites in the serum of PC patients was performed using a nuclear magnetic resonance (NMR) spectrometer.
We found LDHA was an independent predictor of overall survival (OS) in PC patients (P<0.001). Consistent with genetic aberrance of LDHA, we identified significant alterations in patients' glycolysis-related metabolites, including upregulation of lactic acid and downregulation of pyruvic acid. A 0.956 area under the curve (AUC) was achieved using the combinative metabolites score of lactic acid, pyruvic acid, citric acid, and glucose to distinguish PC from healthy controls.
Aberrant LDHA signaling is an unfavorable biomarker for PC and consequential metabolic changes constitute potential diagnostic signatures of PCs.
胰腺癌(PC)的5年生存率最低;因此,仍迫切需要新的早期筛查方法和治疗靶点。基于代谢组学的液体活检等新兴技术可能有助于该领域的发展。我们发现异常的乳酸脱氢酶A(LDHA)信号是PC的不良生物标志物。
通过对PC基因表达综合数据库(GEO)数据集中的糖酵解途径的9个基因进行富集分析来检测。通过癌症基因组图谱(TCGA)的Kaplan-Meier绘图分析,分析LDHA/丙酮酸激酶(PKM)/果糖二磷酸醛缩酶A(ALDOA)/甘油醛-3-磷酸脱氢酶(GAPDH)与患者生存之间的关系。使用核磁共振(NMR)光谱仪对PC患者血清中代谢物的变化进行检测。
我们发现LDHA是PC患者总生存期(OS)的独立预测因子(P<0.001)。与LDHA的基因异常一致,我们在患者的糖酵解相关代谢物中发现了显著变化,包括乳酸上调和丙酮酸下调。使用乳酸、丙酮酸、柠檬酸和葡萄糖的联合代谢物评分来区分PC和健康对照,曲线下面积(AUC)达到0.956。
异常的LDHA信号是PC的不良生物标志物,相应的代谢变化构成了PC的潜在诊断特征。