胃癌细胞发生淋巴结转移的机制极其复杂，很多改变在早期尚不能通过影像学技术检测到。但是，当细胞早期发生变化时，这些变化的本身或应激系统就会产生相应的分子产物。因此，如果能通过血/尿液检测，在胃癌发生淋巴结转移的早期实现上述分子标记物簇的系统性筛查，将对胃癌治疗方式的选择及改善预后具有重要应用前景和意义。本项目拟通过对胃癌淋巴结转移不同时相、不同分期的转录组数据进行对比分析及调控网络的分子偶联，系统注释胃癌淋巴结转移不同分期的中枢节点分子，通过项目组前期建立的分子动态模拟技术实现节点分子进入血/尿液循环的分子筛选，最终通过临床样本的检测及验证，建立血/尿液循环中胃癌淋巴结转移诊断标志物高通量筛选的新模式。项目整合分子生物学及生物信息学技术，完成肿瘤细胞特定阶段功能分子的鉴别及进入体液循环的分子建模，其跨学科的综合性、创新性研究将对癌症的诊断及治疗都具有重要的理论意义与实际应用价值。

The lymph node metastasis mechanism of gastric cancer cells is very complex. At early metastasis stages, lots of small changes are difficult to be detected by traditional imaging technology. When gastric cancer cells start the transformation, however, the specific molecular products are generated. Hence, if it is possible to systemically detect the molecular markers described above by blood/ urine tests, at early metastasis stages,the detections will have an important potential application prospects in the choice of gastric cancer treatment and in the improvement of prognosis. In this study, we will systemically annotate the central node molecules in different gastric lymph node metastasis stages by the comparatively analysis of the transcriptomedata ofgastric cancer cells in different gastric cancer lymph node metastasis stages and the molecular coupling in regulation networks. Then we will utilize the molecular dynamic simulation technology built in our preliminary studies to establish a molecular modelthat shows how metabolitesentrance the blood/urine cycle. Finally, we will verify the molecular model through large-scale clinical samples detection, and build a new high-throughput screeningpattern of diagnostic markers inblood/urine cycle. This study will accomplish the identification of functional molecules in specific stages of cancer cells and finish the molecular modeling of the circulation of body fluid entrance procedure with the integration of molecular biology and bioinformatics technology. And this interdisciplinary, integrated, innovative study has important theoretical significance and practical application value for the diagnosis and treatment of cancer.