TY - JOUR AU - Pu, Ning AU - Chen, Qiangda AU - Gao, Shanshan AU - Liu, Gao AU - Zhu, Yayun AU - Yin, Lingdi AU - Hu, Haijie AU - Wei, Li AU - Wu, Yong AU - Maeda, Shimpei AU - Lou, Wenhui AU - Yu, Jun AU - Wu, Wenchuan PY - 2019 TI - Genetic landscape of prognostic value in pancreatic ductal adenocarcinoma microenvironment JF - Annals of Translational Medicine; Vol 7, No 22 (November 29, 2019): Annals of Translational Medicine Y2 - 2019 KW - N2 - Background: The prognosis of pancreatic ductal adenocarcinoma (PDAC) remains dismally poor and is widely considered as an intricate genetic disorder. The mutational landscape of PDAC may directly reflect cancer immunogenicity and dictate the extent and phenotype of immune cell infiltration. In adverse, the microenvironment may also effect the gene expression of cancer cells, which is associated with clinical prognosis. Thus, it is crucial to identify genomic alterations in PDAC microenvironment and its impacts on clinical prognosis. Methods: The gene expression profiles, mutation data and clinical information of 179 pancreatic cancer patients with an initial pathologic diagnosis ranging from 2001 to 2013 were retrieved from The Cancer Genome Atlas (TCGA) database. The MAlignant Tumor tissues using Expression data (ESTIMATE) algorithm for calculating immune scores and stromal scores and Tumor IMmune Estimation Resource (TIMER) resource for cell infiltrations were applied in this study. Results: The average immune score or stromal score of PDAC subtype was significantly higher than that of other specific subtypes. KRAS mutant cases had significantly lower immune scores (P=0.001) and stromal scores (P=0.007), in concert with lower immune scores in TP53 mutant cases (P=0.030). However, no significant difference was found in SMAD4 and CDKN2A mutations. In the cohort OS/RFS, the infiltration levels of CD8+ T cells, B cells, Macrophages, Neutrophils and DCs in high stromal score group were higher than those in the low score group (all P Conclusions: A list of genes with prognostic value in PDAC microenvironment were obtained from functional enrichment analysis based on immune and stromal scores, which indicates a series of potential auxiliary prognostic biomarkers for PDAC are available. Further research on these genes may be valuable and helpful to understand the crosstalk between tumor and microenvironment, new immune evasion mechanisms and underlying novel therapeutic targets in an integrated manner. UR - https://atm.amegroups.org/article/view/31930