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首页> 外文期刊>Scientific reports. >Comprehensive analysis of lncRNA-mRNA co-expression patterns identifies immune-associated lncRNA biomarkers in ovarian cancer malignant progression
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Comprehensive analysis of lncRNA-mRNA co-expression patterns identifies immune-associated lncRNA biomarkers in ovarian cancer malignant progression

机译:lncRNA-mRNA共表达模式的全面分析可确定卵巢癌恶性进展中与免疫相关的lncRNA生物标志物

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Ovarian cancer (OV) is the most common and lethal gynecological tumor with a poor prognosis for women; however, the regulatory roles of the long non-coding RNAs (lncRNAs) in ovarian malignant progression are insufficiently understood. Here, we investigated the expression patterns of lncRNAs and mRNAs in the high-throughput molecular profiles of 399?OV patients and constructed a functional lncRNA-mRNA co-expression network across OV malignant progression. We found that two protective lncRNAs, RP11-284N8.3.1 and AC104699.1.1, were not only differentially expressed throughout the progression of malignant OV but were also independently predictive of the survival of patients with different OV stages. A functional analysis of the two lncRNAs predicted their roles in immune system activation and other anti-tumor processes in the OV microenvironment. Integrating these two lncRNAs into an OV risk model was able to significantly stratify patients into different risk groups. Overall, our analysis effectively provides insights into the lncRNA association with malignant OV progression. The two-lncRNA signature is a candidate biomarker for the prognosis of patients with OV and may enable a more accurate prediction of survival.
机译:卵巢癌(OV)是最常见的致死性妇科肿瘤,女性预后差。然而,人们对长的非编码RNA(lncRNA)在卵巢恶性进展中的调控作用了解得不够。在这里,我们调查了399?OV患者高通量分子谱中lncRNA和mRNA的表达模式,并构建了跨OV恶性进展的功能性lncRNA-mRNA共表达网络。我们发现两个保护性lncRNA,RP11-284N8.3.1和AC104699.1.1,不仅在恶性OV的整个过程中差异表达,而且还独立预测了不同OV分期患者的生存率。对两个lncRNA的功能分析预测了它们在OV微环境中的免疫系统激活和其他抗肿瘤过程中的作用。将这两个lncRNAs整合到OV风险模型中,可以将患者分为不同的风险组。总体而言,我们的分析有效地提供了与lncRNA与恶性OV进展相关的见解。 2lncRNA签名是OV患者预后的候选生物标志物,可能使存活率的预测更加准确。

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