Xu Min, Chen Ziyan, Lin Bangyi, Zhang Sina, Qu Jinmiao
Department of Operating Room, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Transl Cancer Res. 2021 Sep;10(9):4033-4046. doi: 10.21037/tcr-21-747.
Long non-coding RNAs (lncRNAs) play an important part in tumorigenesis and cancer metastasis and can serve as a potential biosignature for cancer prognosis. However, the use of lncRNA signatures to predict survival in breast carcinoma is yet unreported.
The lncRNA expression profiles and homologous clinical data of 913 breast carcinoma samples from the Cancer Genome Atlas (TCGA), were analyzed to obtain 2,547 differentially expressed lncRNAs. Univariate Cox proportional risk regression was applied to both the training and testing datasets to screen the common prognostic lncRNAs. Potential prognostic LncRNAs were screened by multivariate Cox proportional risk regression in the training data set of the selected LncRNAs.
Seven lncRNAs (LINC02037, MAPT-AS1, RP1-37C10.3, RP11-344E13.4, RP11-454P21.1, RP11-616M22.1, SPACA6P-AS) were prominently associated with overall survival. Kaplan-Meier analysis and receiver operating characteristic (ROC) curves indicated that these indicators were sensitive and specific for survival prediction. The areas under the ROC curve of the seven-lncRNA signature in predicting 3- and 5-year survival rates were 0.771 and 0.780 respectively in the combined cohort. Furthermore, enrichment analysis revealed that these seven lncRNAs might participate multiple pathways related to tumorigenesis and prognosis.
The proposed seven-lncRNA signature could serve as a latent prognostic biomarker for survival prediction in patients with breast carcinoma.
长链非编码RNA（lncRNA）在肿瘤发生和癌症转移中起重要作用，可作为癌症预后的潜在生物标志物。然而，尚未有关于使用lncRNA特征预测乳腺癌患者生存情况的报道。
分析来自癌症基因组图谱（TCGA）的913例乳腺癌样本的lncRNA表达谱和同源临床数据，以获得2547个差异表达的lncRNA。对训练数据集和测试数据集均应用单变量Cox比例风险回归来筛选常见的预后lncRNA。在所选lncRNA的训练数据集中通过多变量Cox比例风险回归筛选潜在的预后lncRNA。
7种lncRNA（LINC02037、MAPT-AS1、RP1-37C10.3、RP11-344E13.4、RP11-454P21.1、RP11-616M22.1、SPACA6P-AS）与总生存期显著相关。Kaplan-Meier分析和受试者工作特征（ROC）曲线表明，这些指标对生存预测具有敏感性和特异性。在联合队列中，七lncRNA特征预测3年和5年生存率的ROC曲线下面积分别为0.771和0.780。此外，富集分析显示这7种lncRNA可能参与多个与肿瘤发生和预后相关的途径。
所提出的七lncRNA特征可作为乳腺癌患者生存预测的潜在预后生物标志物。
