Paper Title
BIOINFORMATIC ANALYSIS OF BLOOD GENE EXPRESSION FOR COMBINATION IMMUNOTHERAPY EVALUATION IN MURINE MODEL OF PANCREATIC CANCER

Abstract
Abstract - Immunomodulation has profound effect on pancreatic cancer prognosis in murine cancer model, however, its complex impact in tumor microenvironment is much less well understood. Blood circulation contributes to host homeostasis, maintains normal physiological functions, and responds to lesions. By using bioinformatics, we identified pathway mapsfeaturing the therapeutic efficacy after the administration of gemcitabine combined withimmune checkpoint inhibitors.Animal models were established and administered with various agents to indicate the therapeutic benefits of combining immunotherapy and chemotherapy in Pancreatic ductular adenocarcinoma (PDAC) mouse model.We analyzed gene expression profiles using a complementary DNA microarray to examine if these profiles were changed after treatment. We found that survival of PDAC mice was prolonged the most in combination of Gemcitabine chemotherapy andPD-1 inhibitorwith or without anti-Ly6c antibody. Gene expression profile showed the highlighted pathway maps for upregulated genes in treated mice were related to anti-cancer immune responses mediated by T cell and innate immunity signaling. In conclusion, anti-tumor immunity in PDAC model was induced by combination treatment, featured by an increment of immune response related genes expression; DNA microarray technology is a very valuable tool for the assessment of gene expression in development of potential treatment for pancreatic cancer. Keywords - Bioinformatics, PDAC, blood gene expression, immune response, DNA microarray, gemcitabine,immune checkpoint inhibitors, PD-1, Ly-6c.