Zhang Wu-Hu, Wang Wen-Quan, Han Xuan, Gao He-Li, Li Tian-Jiao, Xu Shuai-Shuai, Li Shuo, Xu Hua-Xiang, Li Hao, Ye Long-Yun, Lin Xuan, Wu Chun-Tao, Long Jiang, Yu Xian-Jun, Liu Liang
Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Comput Struct Biotechnol J. 2020 Nov 21;18:3606-3614. doi: 10.1016/j.csbj.2020.11.018. eCollection 2020.
Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy that is usually diagnosed at an advanced stage when curative surgery is no longer an option. Robust diagnostic biomarkers with high sensitivity and specificity for early detection are urgently needed. Systems biology provides a powerful tool for understanding diseases and solving challenging biological problems, allowing biomarkers to be identified and quantified with increasing accuracy, sensitivity, and comprehensiveness. Here, we present a comprehensive overview of efforts to identify biomarkers of PDAC using genomics, transcriptomics, proteomics, metabonomics, and bioinformatics. Systems biology perspective provides a crucial "network" to integrate multi-omics approaches to biomarker identification, shedding additional light on early PDAC detection.
胰腺导管腺癌（PDAC）是一种致命的恶性肿瘤，通常在晚期才被诊断出来，此时根治性手术已不再是一种选择。迫切需要具有高灵敏度和特异性的强大诊断生物标志物用于早期检测。系统生物学为理解疾病和解决具有挑战性的生物学问题提供了一个强大的工具，使生物标志物能够以越来越高的准确性、灵敏度和全面性被识别和量化。在这里，我们全面概述了利用基因组学、转录组学、蛋白质组学、代谢组学和生物信息学来识别PDAC生物标志物的相关研究。系统生物学视角为整合多组学方法进行生物标志物识别提供了关键的“网络”，为早期PDAC检测提供了更多线索。
