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Genetic landscape of prognostic value in pancreatic ductal adenocarcinoma microenvironment

	author = {Ning Pu and Qiangda Chen and Shanshan Gao and Gao Liu and Yayun Zhu and Lingdi Yin and Haijie Hu and Li Wei and Yong Wu and Shimpei Maeda and Wenhui Lou and Jun Yu and Wenchuan Wu},
	title = {Genetic landscape of prognostic value in pancreatic ductal adenocarcinoma microenvironment},
	journal = {Annals of Translational Medicine},
	volume = {7},
	number = {22},
	year = {2019},
	keywords = {},
	abstract = {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},
	issn = {2305-5847},	url = {}