4.5 Article

Prognostic gene profiles in the tumor microenvironment of ovarian serous adenocarcinoma

期刊

FRONTIERS IN BIOSCIENCE-LANDMARK
卷 26, 期 4, 页码 692-705

出版社

IMR PRESS
DOI: 10.2741/4913

关键词

Gene Expression Omnibus; The Cancer Genome Atlas; tumor microenvironment; prognosis; ovarian serous adenocarcinoma

资金

  1. National Natural Science Foundation of China [81670474]
  2. Digestive Medical Coordinated Development Center of Beijing Hospitals Authority [XXT01]
  3. China Population Publicity and Education Center Research and Promotion Project [2017-A001]

向作者/读者索取更多资源

Research identified 39 differentially expressed genes in ovarian serous adenocarcinoma patients that significantly affected prognosis and were correlated with immune cell abundance. These genes primarily participate in immune-related responses, as confirmed by Gene Ontology and KEGG pathway analysis.
Ovarian serous adenocarcinoma is one of the most common and fatal malignancies among women worldwide. The tumor microenvironment plays a critical role in tumor initiation, proliferation, and metastasis. Immune scores and stromal scores of the tumor microenvironment were determined using the ESTIMATE. Immune cell infiltration was assessed using TIMER and differentially expressed genes (DEGs) were determined using the R/Bioconductor package of edgeR. Survival analysis was carried out using a univariate Cox model and Kaplan-Meier survival, and gene functional information was obtained through Gene Ontology and KEGG pathway analysis. Survival analysis revealed 39 DEGs that significantly influenced the prognosis of ovarian serous adenocarcinoma patients and were correlated with immune cell abundance. Functional enrichment and protein-protein interaction network analyses further indicated that these genes are primarily involved in immune-related responses. Finally, we verified the prognostic value of these genes via GEO. The present results reveal the genes associated with the tumor microenvironment of ovarian adenocarcinoma, potentially providing prognostic information.

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