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A novel autophagy‐related lncRNA prognostic risk model for breast cancer

机译:一种新的乳腺癌自噬相关的LNCrNA预后风险模型

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Long non‐coding RNAs (lncRNAs) are well known as crucial regulators to breast cancer development and are implicated in controlling autophagy. LncRNAs are also emerging as valuable prognostic factors for breast cancer patients. It is critical to identify autophagy‐related lncRNAs with prognostic value in breast cancer. In this study, we identified autophagy‐related lncRNAs in breast cancer by constructing a co‐expression network of autophagy‐related mRNAs‐lncRNAs from The Cancer Genome Atlas (TCGA). We evaluated the prognostic value of these autophagy‐related lncRNAs by univariate and multivariate Cox proportional hazards analyses and eventually obtained a prognostic risk model consisting of 11 autophagy‐related lncRNAs (U62317.4, LINC01016, LINC02166, C6orf99, LINC00992, BAIAP2‐DT, AC245297.3, AC090912.1, Z68871.1, LINC00578 and LINC01871). The risk model was further validated as a novel independent prognostic factor for breast cancer patients based on the calculated risk score by Kaplan‐Meier analysis, univariate and multivariate Cox regression analyses and time‐dependent receiver operating characteristic (ROC) curve analysis. Moreover, based on the risk model, the low‐risk and high‐risk groups displayed different autophagy and oncogenic statues by principal component analysis (PCA) and Gene Set Enrichment Analysis (GSEA) functional annotation. Taken together, these findings suggested that the risk model of the 11 autophagy‐related lncRNAs has significant prognostic value for breast cancer and might be autophagy‐related therapeutic targets in clinical practice.
机译:长期非编码RNA(LNCRNA)是碱性癌症发育的关键调节剂,并涉及控制自噬。 LNCRNA也是乳腺癌患者的宝贵预后因素。鉴定与乳腺癌预后价值鉴定自噬相关的LNCRNA至关重要。在这项研究中,通过从癌症基因组地图集(​​TCGA)构建自噬相关MRNA-LNCRNA的共表达网络,我们在乳腺癌中鉴定了与乳腺癌的自噬相关的LNCRNA。通过单变量和多变量Cox比例危害分析,评估了这些自噬相关的LNCRNA的预后价值,并最终获得了由11个自噬相关的LNCRNA(U62317.4,LINC01016,LINC02166,C6ORF99,LINC00992,BAIAP2-DT,BAIAP2-DT的预后风险模型。 AC245297.3,AC090912.1,Z68871.1,LINC00578和LINC01871)。基于Kaplan-Meier分析,单变量和多变量COX回归分析和时间依赖接收器操作特征(ROC)曲线分析,进一步验证了乳腺癌患者的新型独立预后因子作为乳腺癌患者的乳腺癌患者的新型预后因素。此外,基于风险模型,低风险和高风险群体通过主成分分析(PCA)和基因设定富集分析(GSEA)功能注释显示不同的自噬和致癌雕像。这些研究结果表明,11型自噬相关的LNCRNA的风险模型对乳腺癌具有显着的预后价值,并且可能是临床实践中的自噬相关的治疗目标。

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