本集成项目主要在前期已完成的重大研究计划重点项目“炎症向肿瘤转化的分子网络构建与平衡机制”取得的成果基础上进行集成研究。前期通过计算、临床、实验交叉研究，发现以脂肪酸代谢紊乱为代表的代谢-免疫网络失衡是胃、肝、肠等消化道炎癌转化中的一个共性机制。本集成项目的目标是，紧密围绕消化道炎癌转化过程中脂质代谢及相关关键模块的变化，通过整合表观遗传学检测新技术、超高分辨率成像技术，在已经采集的胃炎癌不同阶段典型临床样本上进一步进行观测，深入发掘以脂质代谢紊乱为核心的代谢-免疫失衡在胃炎癌转化中的特征及其网络调控机制，并探索脂肪酸代谢模块作为抑制炎癌转化的潜在新靶点的可能性，为从代谢-免疫网络失衡角度发现消化道炎癌转化的潜在生物标志物和药物干预靶标提供重要基础，为揭示消化道炎症向肿瘤转化的网络调控机制、催生新的可用于胃癌等消化道肿瘤的早期诊疗和干预方式提供重要科学依据。

Built on the results of our previous Major Research Plan "Biomolecular network construction and balance-regulation mechanism from inflammation to cancer", we propose a further investigation on the imbalance of bimolecular network that promote the digestive tract (stomach, colon, and liver)’s inflammation-tumor transformation. We have found metabolism-immune imbalance, particularly the dysregulation of fatty acid metabolism, is one of the common mechanisms during the transformation process. Focusing on the dynamic changes of key modules related to dysregulation of fatty acid metabolism, we will apply the new techniques of epigenomics and super-resolution microscopy to our clinic samples of different transformation stages, and further investigate the regulatory mechanisms of fatty acid metabolism key processes. Our goal is to verify the potential of fatty acid metabolism key molecules as new targets for suppressing inflammation-tumor transformation, and to provide supporting evidence for candidate biomarkers and drug targets, and finally unveil the network-based biological foundation of inflammation-tumor transformation in digestive system, inspiring novel approaches for early stage diagnosis and treatment of gastrointestinal tumors.