A Novel Prognostic Model for Oral Squamous Cell Carcinoma: The Functions and Prognostic Values of RNA-Binding Proteins.
A Novel Prognostic Model for Oral Squamous Cell Carcinoma: The Functions and Prognostic Values of RNA-Binding Proteins.
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口腔鳞状细胞癌的新预后模型：RNA 结合蛋白的功能和预后价值
DOI：
10.3389/fonc.2021.592614
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发表时间：
2021
影响因子：
4.7
通讯作者：
Chang S
中科院分区：
文献类型：
--
作者：
Lu Y;Yan Y;Li B;Liu M;Liang Y;Ye Y;Cheng W;Li J;Jiao J;Chang S
rna结合蛋白（rbp）在口腔鳞状细胞癌（OSCC）中的生物学作用和临床意义尚不完全清楚。我们使用几种生物信息学策略研究了rbp在OSCC中的预后价值。OSCC数据来源于公共在线数据库，利用Limma R软件包对差异表达的rbp进行鉴定，并进行功能富集分析，阐明上述rbp在OSCC中的生物学功能。我们进行了蛋白-蛋白相互作用（PPI）网络和Cox回归分析，以提取与预后相关的中枢rbp。接下来，我们使用Cox回归和风险评分分析建立并验证了基于枢纽rbp的预后模型。我们发现差异表达的rbp与病毒防御反应和多种RNA过程密切相关。我们确定了10个与预后相关的中枢rbp (ZC3H12D、OAS2、INTS10、ACO1、PCBP4、RNASE3、PTGES3L-AARSD1、RNASE13、DDX4和PCF11)，并有效预测了OSCC患者的总生存期。风险评分模型的受试者工作特征（ROC）曲线下面积（AUC）为0.781，表明我们的模型具有良好的预后性能。最后，我们建立了一个积分10个rbp的nomogram。内部验证队列结果显示nomogram对OSCC具有可靠的预测能力。我们建立了一个新的基于10- rbp的OSCC模型，可以在未来实现精确的个体化治疗和随访管理策略。
The biological roles and clinical significance of RNA-binding proteins (RBPs) in oral squamous cell carcinoma (OSCC) are not fully understood. We investigated the prognostic value of RBPs in OSCC using several bioinformatic strategies. OSCC data were obtained from a public online database, the Limma R package was used to identify differentially expressed RBPs, and functional enrichment analysis was performed to elucidate the biological functions of the above RBPs in OSCC. We performed protein-protein interaction (PPI) network and Cox regression analyses to extract prognosis-related hub RBPs. Next, we established and validated a prognostic model based on the hub RBPs using Cox regression and risk score analyses. We found that the differentially expressed RBPs were closely related to the defense response to viruses and multiple RNA processes. We identified 10 prognosis-related hub RBPs (ZC3H12D, OAS2, INTS10, ACO1, PCBP4, RNASE3, PTGES3L-AARSD1, RNASE13, DDX4, and PCF11) and effectively predicted the overall survival of OSCC patients. The area under the receiver operating characteristic (ROC) curve (AUC) of the risk score model was 0.781, suggesting that our model exhibited excellent prognostic performance. Finally, we built a nomogram integrating the 10 RBPs. The internal validation cohort results showed a reliable predictive capability of the nomogram for OSCC. We established a novel 10-RBP-based model for OSCC that could enable precise individual treatment and follow-up management strategies in the future.
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影响因子：
16.6
作者：
Li, Yuanfeng;Si, Lanlan;Zhou, Gangqiao
通讯作者：
Zhou, Gangqiao
影响因子：
3.9
作者：
Luckau, Stefanie;Wehrs, Tim P.;Lindemann, Monika
通讯作者：
Lindemann, Monika
影响因子：
3
作者：
Bader, GD;Hogue, CW
通讯作者：
Hogue, CW
肥胖和与脂质代谢相关的基因预测口腔鳞状细胞癌的不良生存
影响因子：
4.8
作者：
Hu, Qinchao;Peng, Jianmin;Wu, Tong
通讯作者：
Wu, Tong
影响因子：
4.7
作者：
Mattavelli, Davide;Lombardi, Davide;Nicolai, Piero
通讯作者：
Nicolai, Piero