Fig. 2

MCC cell-derived allograft model in BALB/c mouse. a Growth curve of MCC cell-derived allografts (CDA). b Representative images of a tumor-bearing mouse (left) and subcutaneous MCC-CDA tumor tissue (right). c Pathological H&E staining of subcutaneous MCC-CDA tumor specimens. d Proteomic data sets of mouse normal corpus and MCC-CDA tumors using different filtering criteria. e Total number of proteins identified in each biological replicate of mouse normal corpus and MCC-CDA tumors. f Correlation analysis between biological replicates of MCC cell lines and MCC-CDA tumors. g Venn diagram showing proteins identified and quantified in MCC cell lines and MCC-CDA tumors. h Principal component analysis (PCA) of proteomic data differentiating MCC cell lines and MCC-CDA tumors. i KEGG pathway enrichment in MCC-CDA tumors. j Hierarchical clustering and heatmap of Spearman correlation coefficients comparing MCC cell lines and MCC-CDA tumors to clinical gastric cancer tumors and NAT. k Distribution of Spearman correlation coefficients for MCC cell lines and MCC-CDA tumors relative to clinical gastric cancer tumors. l The relative abundance (iFOT) of classic markers of clinical gastric adenocarcinoma (Krt7, Krt20, and Msln) in MCC-CDA tumors. m IHC staining results of Krt7 and Krt20 in MCC CDA tumors. n Venn diagram comparing the MCC cell line proteome with the clinical gastric cancer patient proteome. o Correlation heat map of 5 MCC cell line bioparallel samples and clinical gastric cancer patients. p Bar plot showing Pearson correlation between the MCC cell line and clinical gastric cancer patients of different Lauren histological subtypes