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用于预测非远处转移口腔舌鳞状细胞癌总生存期的15基因特征及预后列线图

A 15-Gene Signature and Prognostic Nomogram for Predicting Overall Survival in Non-Distant Metastatic Oral Tongue Squamous Cell Carcinoma.

作者信息

Liu Muyuan, Tong Litian, Liang Bin, Song Xuhong, Xie Lingzhu, Peng Hanwei, Huang Dongyang

机构信息

Department of Head and Neck, Cancer Hospital of Shantou University Medical College, Shantou, China.

Department of Anesthesiology, Cancer Hospital of Shantou University Medical College, Shantou, China.

出版信息

Front Oncol. 2021 Mar 9;11:587548. doi: 10.3389/fonc.2021.587548. eCollection 2021.

Abstract

BACKGROUND

Oral tongue squamous cell carcinoma (OTSCC) is a devastating tumor with poor prognosis. There is an urgent need for reliable biomarkers to help predict prognosis and guide treatment for OTSCC. In the current study, we aimed to develop a robust multi-gene signature and prognostic nomogram to predict the prognosis of patients with non-distant metastatic OTSCC.

METHODS

OTSCC-related differentially-expressed genes were screened from The Cancer Genome Atlas (TCGA) database. Univariate Cox regression based on 1,000 bootstrap replicates, LASSO regression and stepwise multivariate Cox regression were utilized to develop a novel multi-mRNA signature for predicting overall survival in OTSCC. The concordance index, area under receiver operating characteristic (ROC AUC) and calibration curve were employed to assess the prediction capacity of the novel multi-gene model. In addition, a prognostic nomogram was constructed to facilitate the clinical use of the fitted model. The Kaplan-Meier with log-rank test was employed to assess differences in overall survival.

RESULTS

We successfully established a novel 15-mRNA prognostic model for predicting overall survival of non-distant metastatic OTSCC, involving , and . The prediction ability of this 15-gene signature was independent of other clinicopathological factors, with an HR of 11.5 (95% CI: 4.70-28.3). Moreover, internal validation by bootstrap analysis yielded a C-index of 0.849, with a 3-year AUC of 0.907 and 5-year AUC of 0.944, which implied excellent prediction accuracy of the fitted model. In addition, external validation by using the GEO dataset (GSE41116) yielded a C-index of 0.804, with a 3-year AUC of 0.868 and 5-year AUC of 0.855, which also indicated good prediction ability of the 15-gene model. Finally, a prognostic nomogram integrating risk group, grade, T stage and N stage was established.

CONCLUSION

Our results demonstrate our 15-gene signature was independently associated with overall survival in non-distant metastatic OTSCC. Moreover, the prognostic nomogram integrating the 15-gene signature and clinicopathological factors has potential to be developed as a prognostic tool.

摘要

背景

口腔舌鳞状细胞癌(OTSCC)是一种预后较差的毁灭性肿瘤。迫切需要可靠的生物标志物来帮助预测OTSCC的预后并指导治疗。在本研究中,我们旨在开发一种强大的多基因特征和预后列线图,以预测非远处转移性OTSCC患者的预后。

方法

从癌症基因组图谱(TCGA)数据库中筛选与OTSCC相关的差异表达基因。基于1000次自助重复抽样的单变量Cox回归、LASSO回归和逐步多变量Cox回归用于开发一种用于预测OTSCC总生存期的新型多mRNA特征。一致性指数、受试者操作特征曲线下面积(ROC AUC)和校准曲线用于评估新型多基因模型的预测能力。此外,构建了一个预后列线图,以促进拟合模型的临床应用。采用Kaplan-Meier法和对数秩检验评估总生存期的差异。

结果

我们成功建立了一种用于预测非远处转移性OTSCC总生存期的新型15-mRNA预后模型,涉及[此处原文缺失具体基因信息]。这个15基因特征的预测能力独立于其他临床病理因素,HR为11.5(95%CI:4.70-28.3)。此外,通过自助分析进行的内部验证得出C指数为0.849,3年AUC为0.907,5年AUC为0.944,这意味着拟合模型具有出色的预测准确性。此外,使用GEO数据集(GSE41116)进行的外部验证得出C指数为0.804,3年AUC为0.868,5年AUC为0.855,这也表明15基因模型具有良好的预测能力。最后,建立了一个整合风险组、分级、T分期和N分期的预后列线图。

结论

我们的结果表明,我们的15基因特征与非远处转移性OTSCC的总生存期独立相关。此外,整合15基因特征和临床病理因素的预后列线图有潜力被开发为一种预后工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7829/7985252/a4cf950f5e29/fonc-11-587548-g001.jpg

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