Additional file 2 of Integration of clinical and transcriptomics reveals programming of the lipid metabolism in gastric cancer

Additional file 2: Fig. S1. Flow chart of the experimental design and main process. Fig. S2. Kaplan-Meier curves for GC patients stratified by lipid factors. (A) Kaplan-Meier analysis of Progression-free survival (PFS) of Cholesterol, Triglyceride, HDL and LDL;(B) Nomogram developed by integrating metabolic syndrome and clinical pathological parameters for predicting 1-, 3-, 5-year PFS survival of GC patients; (C) Calibration curve for risk of 1-, 3-, 5-year PFS survival of metabolic syndrome.

附加文件2：补充图S1。实验设计与主要流程流程图。补充图S2：按脂质因素分层的胃癌（Gastric Cancer, GC）患者的Kaplan-Meier曲线。(A) 胆固醇（Cholesterol）、甘油三酯（Triglyceride）、高密度脂蛋白（High-density lipoprotein, HDL）及低密度脂蛋白（Low-density lipoprotein, LDL）相关无进展生存期（Progression-free survival, PFS）的Kaplan-Meier分析；(B) 整合代谢综合征与临床病理参数构建的、用于预测胃癌患者1年、3年、5年无进展生存期的列线图（Nomogram）；(C) 代谢综合征相关胃癌患者1年、3年、5年无进展生存期风险的校准曲线。