Clinical Skill Training Center, The Second Hospital of Shandong University, Jinan, Shandong 250033, China.
Department of the Second Operation, The Second Hospital of Shandong University, Jinan, Shandong 250033, China.
Biomed Res Int. 2021 Apr 30;2021:6680036. doi: 10.1155/2021/6680036. eCollection 2021.
The dysregulated long noncoding RNAs (lncRNAs) have been described to be crucial regulators in the progression of ovarian carcinoma. The infiltration status of immune cells is also related to the clinical outcomes in ovarian carcinoma. The present research is aimed at constructing an immune-associated lncRNA signature with potential prognostic value for ovarian carcinoma patients.
We obtained 379 ovarian carcinoma cases with available clinical data and transcriptome data from The Cancer Genome Atlas database to evaluate the infiltration status of immune cells, thereby generating high and low immune cell infiltration groups. According to the expression of the immune-associated lncRNA signature, the risk score of each case was calculated. The high- and low-risk groups were classified using the median risk score as threshold.
A total of 169 immune-associated lncRNAs that differentially expressed in ovarian carcinoma were included. According to the Lasso regression analysis and Cox univariate and multivariate analyses, 5 immune-associated lncRNAs, including AC134312.1, AL133467.1, CHRM3-AS2, LINC01722, and LINC02207, were identified as a predictive signature with significant prognostic value in ovarian carcinoma. The following Kaplan-Meier analysis, ROC analysis, and Cox univariate and multivariate analyses further suggested that the predicted signature may be an independent prognosticator for patients with ovarian carcinoma. The following gene set enrichment analysis showed that this 5 immune-associated lncRNAs signature was significantly related to the hedgehog pathway, basal cell carcinoma, Wnt signaling pathway, cytokine receptor interaction, antigen processing and presentation, and T cell receptor pathway.
: This study suggested a predictive model with 5 immune-associated lncRNAs that has an independent prognostic value for ovarian carcinoma patients.
失调的长非编码 RNA（lncRNA）已被描述为卵巢癌进展的关键调节因子。免疫细胞的浸润状态也与卵巢癌的临床结局有关。本研究旨在构建一个具有潜在预后价值的免疫相关 lncRNA 特征，用于卵巢癌患者。
我们从癌症基因组图谱数据库中获得了 379 例具有可用临床数据和转录组数据的卵巢癌病例，以评估免疫细胞的浸润状态，从而产生高和低免疫细胞浸润组。根据免疫相关 lncRNA 特征的表达，计算每个病例的风险评分。使用中位数风险评分作为阈值对高低风险组进行分类。
共纳入了 169 个在卵巢癌中差异表达的免疫相关 lncRNA。根据 Lasso 回归分析以及 Cox 单因素和多因素分析，确定了 5 个免疫相关 lncRNA，包括 AC134312.1、AL133467.1、CHRM3-AS2、LINC01722 和 LINC02207，作为卵巢癌具有显著预后预测价值的预测特征。以下 Kaplan-Meier 分析、ROC 分析、Cox 单因素和多因素分析进一步表明，该预测特征可能是卵巢癌患者的独立预后因素。以下基因集富集分析表明，该 5 个免疫相关 lncRNA 特征与 Hedgehog 途径、基底细胞癌、Wnt 信号通路、细胞因子受体相互作用、抗原加工和呈递以及 T 细胞受体途径显著相关。
本研究提出了一个由 5 个免疫相关 lncRNA 组成的预测模型，该模型对卵巢癌患者具有独立的预后价值。
