Identification of a ferroptosis-related long noncoding RNA signature with a prognostic value in adrenocortical carcinoma.

Identification of a ferroptosis-related long noncoding RNA signature with a prognostic value in adrenocortical carcinoma.
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DOI:
10.3389/fgene.2022.949457
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发表时间:
2022
影响因子:
3.7
通讯作者:
Ye, Cong
Ye, Cong
中科院分区:
生物学3区
文献类型:
--
作者:
Wang, Weixi;Chang, Guilin;Zhuo, Ran;Ye, Cong

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背景:肾上腺皮质癌(ACC)是一种少见的内分泌恶性肿瘤,临床预后差。作为一种新的细胞死亡形式,铁凋亡依赖于铁和活性氧的积累,并参与各种肿瘤的发病机制,包括ACC。我们的研究旨在确定和表征预后铁凋亡相关的lncRNA签名(FerRLSig)在ACC。方法:铁凋亡相关的lncRNA(FerRLs)和mRNA的调控网络构建的基础上癌症基因组图谱(TCGA)。进行单变量和多变量考克斯回归分析以构建FerRLSig。 结果如下:在预后模型中确定了24个FerRL,并且高风险FerRLSig与ACC中的较差总生存期(OS)相关[风险比(HR):1.936(1.484-2.526),p < 0.001]。受试者工作特征(ROC)分析显示,FerRLSig的曲线下面积(AUC)为0.936,上级其他传统的临床病理特征,进一步支持了其在ACC预后预测中的实用性。其次,基因集富集分析(GSEA)揭示了基因集参与了许多与恶性肿瘤相关的免疫调节生物学过程。II型INF反应的T细胞功能和免疫检查点,包括CD 40,CD 276,IDO 2,NRP 1和CD 80,在低风险组和高风险组之间表达有显著差异。 结论:本研究为ACC的发病机制提供了新的认识,新的FerRLSig可用于预测ACC患者的生存率,并为ACC的免疫学研究和治疗提供信息。
Background: Adrenocortical carcinoma (ACC) is an uncommon endocrine malignancy associated with poor clinical outcome. As a novel form of cell death, ferroptosis is reliant on the accumulation of iron and reactive oxygen species and is involved in the pathogenesis of various tumors, including ACC. Our study aimed to identify and characterize the prognostic ferroptosis-related lncRNA signature (FerRLSig) in ACC. Methods: A regulatory network of ferroptosis-related lncRNAs (FerRLs) and mRNAs was constructed based on The Cancer Genome Atlas (TCGA). Univariate and multivariate Cox regression assays were performed to construct the FerRLSig. Results: Twenty-four FerRLs were identified in the prognostic model, and the high-risk FerRLSig was related to the worse overall survival (OS) in ACC [hazard ratio (HR): 1.936 (1.484–2.526), p < 0.001]. The area under the curve (AUC) value of the FerRLSig was 0.936 according to the receiver operating characteristic (ROC) analyses, superior to other traditional clinicopathological features, further supported the utility in prognosis prediction of ACC. We further established a prognostic nomogram combining clinical factors with the FerRLSig, which showed favorable efficacy for survival prediction. Next, gene set enrichment analysis (GSEA) revealed that gene sets were involved in many immune regulatory biological processes related to malignancies. T-cell function of type II INF response and the immune checkpoints, including CD40, CD276, IDO2, NRP1, and CD80, were expressed with a significant difference between the low- and high-risk groups. Conclusion: This study offered new insights into the pathogenesis of ACC. The novel FerRLSig could be useful in predicting survival and may provide information of immunological research and treatment for ACC patients.
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