A lncRNA prognostic signature associated with immune infiltration and tumour mutation burden in breast cancer.
A lncRNA prognostic signature associated with immune infiltration and tumour mutation burden in breast cancer.
复制标题
与乳腺癌免疫浸润和肿瘤突变负担相关的 lncRNA 预后特征
DOI：
10.1111/jcmm.15762
复制
发表时间：
2020-11
影响因子：
5.3
通讯作者：
Zhang L
中科院分区：
文献类型：
--
作者：
Liu Z;Mi M;Li X;Zheng X;Wu G;Zhang L
目前的研究表明，长链非编码RNA（lncRNA）可以作为多种癌症的预后生物标志物。因此，我们假设，多个lncRNA的表达模式组合成一个单一的签名，可以改善乳腺癌患者的临床病理风险分层和总生存率的预测。使用两种算法，最小绝对收缩和递归运算（LASSO）和支持向量机-递归特征消除（SVM-RFE）来选择候选lncRNA。采用单变量和多变量考克斯回归分析来构建乳腺癌的7-lncRNA特征。分层分析显示，该特征与多种临床病理风险因素显着相关。对于临床应用，我们开发了一个诺模图模型来预测乳腺癌患者的总生存率和死亡几率。采用单样本基因集富集分析（ssGSEA）、CIBERSORT算法和ESTIMATE方法评估每个样本的相对免疫细胞浸润。不同的免疫细胞浸润和不同的肿瘤突变负荷（TMB）评分可能会导致lncRNA标签预测患者总生存期的有效性。相关性分析表明LINC 01215与多种免疫相关信号通路相关。7-lncRNA预后标志是预测乳腺癌患者预后的可靠工具。
Current studies have shown that long non‐coding RNAs (lncRNAs) may serve as prognostic biomarkers in multiple cancers. Therefore, we postulated that expression patterns of multiple lncRNAs combined into a single signature could improve clinicopathological risk stratification and prediction of overall survival rate for breast cancer patients. Two algorithms, Least Absolute Shrinkage and Selector Operation (LASSO) and Support Vector Machine‐Recursive Feature Elimination (SVM‐RFE), were used to select candidate lncRNAs. Univariate and multivariate Cox regression analyses were employed to construct a seven‐lncRNA signature for breast cancer. Stratified analysis revealed that the signature was significantly associated with multiple clinicopathological risk factors. For clinical use, we developed a nomogram model to predict overall survival and odds of death for breast cancer patients. Single‐sample gene set enrichment analysis (ssGSEA), CIBERSORT algorithm and ESTIMATE method were employed to assess the relative immune cell infiltrations of each sample. Differentially infiltration of immune cells and diverse tumour mutation burden (TMB) scores might give rise to the efficacy of lncRNA signature for predicting the overall survival of patients. Correlation analysis implied that LINC01215 was associated with multiple immune‐related signalling pathways. A seven‐lncRNA prognostic signature is a reliable tool to predict the prognosis of breast cancer patients.
登录
查看更多内容
DOI：
10.1038/nrc3239
发表时间：
2012-03-22
期刊：
Nature reviews. Cancer
影响因子：
--
作者：
Pardoll DM
通讯作者：
Pardoll DM
影响因子：
4
作者：
Fan, Chun-Ni;Ma, Lei;Liu, Ning
通讯作者：
Liu, Ning
影响因子：
64.5
作者：
Ciriello G;Gatza ML;Beck AH;Wilkerson MD;Rhie SK;Pastore A;Zhang H;McLellan M;Yau C;Kandoth C;Bowlby R;Shen H;Hayat S;Fieldhouse R;Lester SC;Tse GM;Factor RE;Collins LC;Allison KH;Chen YY;Jensen K;Johnson NB;Oesterreich S;Mills GB;Cherniack AD;Robertson G;Benz C;Sander C;Laird PW;Hoadley KA;King TA;TCGA Research Network;Perou CM
通讯作者：
Perou CM
预测乳腺癌生存的四长非编码 RNA 特征。
DOI：
10.1186/s13046-014-0084-7
发表时间：
2014-10-06
期刊：
Journal of experimental & clinical cancer research : CR
影响因子：
--
作者：
Meng J;Li P;Zhang Q;Yang Z;Fu S
通讯作者：
Fu S
影响因子：
--
作者：
Huang ML;Hung YH;Lee WM;Li RK;Jiang BR
通讯作者：
Jiang BR