Immune-Related Long Non-coding RNA Constructs a Prognostic Signature of Ovarian Cancer.
Immune-Related Long Non-coding RNA Constructs a Prognostic Signature of Ovarian Cancer.
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DOI：
10.1186/s12575-021-00161-9
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发表时间：
2021-12-15
影响因子：
6.4
通讯作者：
Wang X
中科院分区：
文献类型：
--
作者：
Sun X;Li S;Lv X;Yan Y;Wei M;He M;Wang X
由于卵巢癌导致世界各地妇女的预后不良，我们的目标是构建一个免疫相关的lncRNA标签，以提高卵巢癌患者的生存率。从基因型-组织表达（GTEx）门户网站和癌症基因组图谱（TCGA）数据库获得正常和癌症患者样本以及相应的卵巢临床数据。预测特征由套索惩罚考克斯比例风险回归模型构建。不同风险组的划分是时间依赖的受试者工作特征曲线（ROC）的最佳临界值。最后，我们根据不同风险组的临床因素、化疗敏感性和免疫状态验证和评估了这种预后标志的应用。从145个DEirlncRNA中建立了签名，并且可以显示为独立的预后风险因素，其准确预测卵巢癌患者的总生存期。进一步分析预后信号的应用，发现低危患者对化疗的敏感性更高，免疫原性更高。我们构建并验证了一个基于DEirlncRNA对的有效签名，它可以预测卵巢癌患者的预后、药物敏感性和免疫状态，促进预后估计和个体化治疗。在线版本包含补充材料，可通过10.1186/s12575-021-00161-9获得。
Since ovarian cancer leads to the poor prognosis in women all over the world, we aim to construct an immune-related lncRNAs signature to improve the survival of ovarian cancer patients. Normal and cancer patient samples and corresponding clinical data of ovarian were obtained from The Genotype-Tissue Expression (GTEx) portal and The Cancer Genome Atlas (TCGA) database. The predictive signature was constructed by the lasso penalty Cox proportional hazard regression model. The division of different risk groups was accounting for the optimal critical value of the time-dependent Receiver Operating Characteristic (ROC) curve. Finally, we validated and evaluated the application of this prognostic signature based on the clinical factors, chemo-sensitivity and immune status of different risk groups. The signature was established from 145 DEirlncRNAs and can be shown as an independent prognostic risk factor with accurate prediction on overall survival in ovarian cancer patients. Further analysis on the application of the prognostic signature showed that patients with low-risk had a better sensitivity to chemotherapy and a higher immunogenicity. We constructed and verified an effective signature based on DEirlncRNA pairs, which could predict the prognosis, drug sensitivity and immune status of ovarian cancer patients and promote the prognostic estimation and individualized treatment. The online version contains supplementary material available at 10.1186/s12575-021-00161-9.
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