Glycerophospholipids pathways and chromosomal instability in gastric cancer: Global lipidomics analysis

Figure 1 Different lipidomic profiling of gastric cancer tissues based on liquid chromatography/mass spectrometry analysis. A: Electrospray ionization (ESI) positive modes; B: ESI negative modes. Base peak chromatograms of the gastric cancer samples are shown from the different groups. Red represents for the gastric cancer tissues (NO. 38); Black represents for the adjacent non-cancerous tissues as a control.

Figure 2 Lipidomic distribution of gastric cancer tumor and the surrounding non-cancerous tissue were detected under electrospray ionization + and - mode with the orthogonal projections to latent structures discriminant analysis statistical method. A: Electrospray ionization (ESI) +; B: ESI-. OPLS-DA: Orthogonal projections to latent structures discriminant analysis.

Figure 3 Lipidomics distribution of the chromosomal instability and non-chromosomal instability type of the gastric cancer samples under electrospray ionization + and - mode using the orthogonal projections to latent structures discriminant analysis statistical method. A: Electrospray ionization (ESI) +; B: ESI-. OPLS-DA: Orthogonal projections to latent structures discriminant analysis.

Figure 4 Schematic overview of the lipid biosynthesis pathways in this study was summarized. Black: Changes according to gastric cancer status; Purple: Only represent in chromosomal instability (CIN) analysis; Red: Both CIN and non-CIN status. We showed the lipid categories which involved in the significant changes of metabolites in this study. R is a carbon chain. PAP: phosphatidic acid phosphatase; LPCAT1: lysophosphatidylcholine acyltransferase 1.

Figure 5 The receiver operating characteristic curve analysis on the outstanding metabolites of chromosomal instability and non-chromosomal instability gastric cancer status with projections to latent structures discriminant analysis model.