Gynecological Mini-Invasive Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, 17 Qihelou Street, Dongcheng District, Beijing 100006, China.
Dis Markers. 2022 Jun 20;2022:7900785. doi: 10.1155/2022/7900785. eCollection 2022.
Interferon plays an important role in immune response of ovarian cancer. However, the expression pattern of interferon in ovarian cancer remains unclear. This study is aimed at exploring the expression profile of interferon-relate genes and constructing an interferon-based prognostic signature in ovarian cancer. The ovarian cancer samples collected from TCGA database were viewed as the training set, and ovarian cancer samples collected from GEO datasets were used as the independent validation sets. Univariate Cox regression analysis and multivariate Cox regression analysis were used to construct interferon-related signature, which worked as independent prognostic factor. Bioinformatics based on David software, GSEA, and R software were used to investigate the relationship between immune status and the signature in ovarian cancer. The signature showed close correlation with the status for ovarian cancer immune microenvironment, which might provide the possibility for clinical targeted therapy.
干扰素在卵巢癌的免疫反应中起着重要作用。然而,干扰素在卵巢癌中的表达模式尚不清楚。本研究旨在探讨干扰素相关基因的表达谱,并构建卵巢癌基于干扰素的预后特征。从 TCGA 数据库中收集的卵巢癌样本被视为训练集,从 GEO 数据集收集的卵巢癌样本被用作独立验证集。单因素 Cox 回归分析和多因素 Cox 回归分析用于构建干扰素相关的特征,该特征作为独立的预后因素。基于 David 软件、GSEA 和 R 软件的生物信息学用于研究卵巢癌中免疫状态与特征之间的关系。该特征与卵巢癌免疫微环境的状态密切相关,这可能为临床靶向治疗提供了可能性。