Gastric cancer is a leading cause of cancer-related deaths worldwide. The
Tff1 knockout (KO) mouse model develops gastric lesions that include low-grade
dysplasia (LGD), high-grade dysplasia (HGD), and adenocarcinomas. In this study,
we used Affymetrix microarrays gene expression platforms for analysis of
molecular signatures in the mouse stomach (Tff1-KO (LGD) and Tff1 wild-type
(normal)) and human gastric cancer tissues and their adjacent normal tissue
samples. Combined integrated bioinformatics analysis of mouse and human datasets
indicated that 172 genes were consistently deregulated in both human gastric
cancer samples and Tff1-KO LGD lesions (P<0.05). Using Ingenuity pathway
analysis, these genes mapped to important transcription networks that include
MYC, STAT3, β-catenin, RELA, NFATC2, HIF1A, and ETS1 in both human and
mouse. Further analysis demonstrated activation of FOXM1 and inhibition of TP53
transcription networks in human gastric cancers but not in Tff1-KO LGD lesions.
Using real-time RT-PCR, we validated the deregulated expression of several genes
(VCAM1, BGN, CLDN2, COL1A1, COL1A2, COL3A1, EpCAM, IFITM1, MMP9,
MMP12, MMP14, PDGFRB, PLAU, and TIMP1) that map to altered
transcription networks in both mouse and human gastric neoplasia. Our study
demonstrates significant similarities in deregulated transcription networks in
human gastric cancer and gastric tumorigenesis in the Tff1-KO mouse model. The
data also suggest that activation of MYC, STAT3, RELA, and β-catenin
transcription networks could be an early molecular step in gastric
carcinogenesis.