A seven-lncRNA signature for predicting Ewing's sarcoma.
A seven-lncRNA signature for predicting Ewing's sarcoma.
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作者：
Chen Z;Wang X;Wang G;Xiao B;Ma Z;Huo H;Li W
长链非编码RNA（lncRNA）是一类具有独特特征的非编码RNA。这些RNA可以调节癌细胞的存活、增殖、侵袭、转移和血管生成，并且是潜在的诊断和预后标志物。我们鉴定了与尤文氏肉瘤（EWS）患者的总生存期（OS）相关的7个lncRNA标记。我们使用来自Gene Expression Omnibus（GEO）数据库的表达谱作为训练群组来筛选出EWS中的OS相关lncRNA，并使用单变量考克斯回归、最小绝对收缩和选择算子（LASSO）回归分析进一步建立了7-lncRNA签名。在来自国际癌症基因组联盟（ICGC）的外部数据集中验证预后lncRNA标签作为验证组。从Kaplan-Meier和ROC曲线分析（log-rank检验P < 0.05; AUC >0.6）中获得10个生存相关lncRNA。单变量考克斯回归和LASSO回归分析证实了7个关键的lncRNA，我们建立了一个lncRNA标签来预测EWS预后。训练队列中的EWS患者根据其中位风险评分分为低风险组或高风险组。高危组生存期明显短于低危组。该7-lncRNA特征通过验证组进一步证实。该lncRNA特征的曲线下面积（AUC）在训练组中高达0.905，在3年验证组中高达0.697。诺模图的校准曲线表明，两个队列中的EWS概率诺模图预测与实际观察结果一致。我们筛选了7个lncRNA标签来预测EWS患者的预后。本研究结果为EWS的预后评估提供了新的参考，为EWS的诊断和治疗提供了新的方向。
Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs with unique characteristics. These RNA can regulate cancer cells’ survival, proliferation, invasion, metastasis, and angiogenesis and are potential diagnostic and prognostic markers. We identified a seven-lncRNA signature related to the overall survival (OS) of patients with Ewing’s sarcoma (EWS). We used an expression profile from the Gene Expression Omnibus (GEO) database as a training cohort to screen out the OS-associated lncRNAs in EWS and further established a seven-lncRNA signature using univariate Cox regression, the least absolute shrinkage, and selection operator (LASSO) regression analysis. The prognostic lncRNA signature was validated in an external dataset from the International Cancer Genome Consortium (ICGC) as a validation cohort. We obtained 10 survival-related lncRNAs from the Kaplan-Meier and ROC curve analysis (log-rank test P < 0.05; AUC >0.6). Univariate Cox regression and LASSO regression analyses confirmed seven key lncRNAs and we established a lncRNA signature to predict an EWS prognosis. EWS patients in the training cohort were categorized into a low-risk group or a high-risk group based on their median risk score. The high-risk group’s survival time was significantly shorter than the low-risk group’s. This seven-lncRNA signature was further confirmed by the validation cohort. The area under the curve (AUC) for this lncRNA signature was up to 0.905 in the training group and 0.697 in the 3-year validation group. The nomogram’s calibration curves demonstrated that EWS probability in the two cohorts was consistent between the nomogram prediction and actual observation. We screened a seven-lncRNA signature to predict the EWS patients’ prognosis. Our findings provide a new reference for the current prognostic evaluation of EWS and new direction for the diagnosis and treatment of EWS.
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