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ABSTRACT: Background
Recurrence of liver metastasis after pancreatectomy is often a predictor of poor prognosis. Comprehensive genomic analysis may contribute to a better understanding of the molecular mechanisms of postoperative liver metastasis and provide new therapeutic targets.Methods
A total of 67 patients from The Cancer Genome Atlas (TCGA) were included in this study. We analyzed differentially expressed genes (DEGs) by R package "DESeq2." Weighted gene co-expression network analysis (WGCNA) was applied to investigate the key modules and hub genes. Immunohistochemistry was used to analyze tumor cell proliferation index and CD4+ T cells infiltration.Results
Functional analysis of DEGs between the liver metastatic and recurrence-free groups was mainly concent
SUBMITTER: Wang G
PROVIDER: S-EPMC8415276 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature