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基于上皮-间质转化特征基因的头颈部鳞状细胞癌风险评分系统

An Epithelial-Mesenchymal Transition Hallmark Gene-Based Risk Score System in Head and Neck Squamous-Cell Carcinoma.

作者信息

Liang Feifei, Wang Rensheng, Du Qinghua, Zhu Shangyong

机构信息

Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.

Department of Radiation Oncology, Second Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.

出版信息

Int J Gen Med. 2021 Aug 6;14:4219-4227. doi: 10.2147/IJGM.S327632. eCollection 2021.

Abstract

BACKGROUND

Epithelial-to-mesenchymal transition (EMT) program plays a critical role in cancer. Thus, we attempted to generate a risk score system according to the expression pattern of different EMT hallmark genes in head and neck squamous-cell carcinoma (HNSC).

METHODS

Differentially expressed EMT hallmark genes were screened to generate a risk score (RS) on TCGA HNSC dataset. The relative prognostic value of the compared to clinicopathological characteristics was explored using multivariable Cox analysis. Functional enrichment analysis was performed to reveal the biological characteristics. An external dataset was applied to validate the prognostic value of the .

RESULTS

Nine genes constituted the EMT hallmark gene-based , which is significantly associated with poor prognosis and could successfully divide patients with HNSC into high- and low-risk groups. The was also an independent prognostic indicator compared to routine clinical factors.

CONCLUSION

We proposed and validated a nine-EMT hallmark gene-based risk score system in HNSC.

摘要

背景

上皮-间质转化(EMT)程序在癌症中起关键作用。因此,我们试图根据头颈部鳞状细胞癌(HNSC)中不同EMT标志性基因的表达模式生成一个风险评分系统。

方法

在TCGA HNSC数据集中筛选差异表达的EMT标志性基因以生成风险评分(RS)。使用多变量Cox分析探讨该评分与临床病理特征相比的相对预后价值。进行功能富集分析以揭示生物学特征。应用外部数据集验证该评分的预后价值。

结果

九个基因构成了基于EMT标志性基因的评分,其与不良预后显著相关,并能成功地将HNSC患者分为高风险和低风险组。与常规临床因素相比,该评分也是一个独立的预后指标。

结论

我们在HNSC中提出并验证了一个基于九个EMT标志性基因的风险评分系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d352/8354775/820edacbc0e5/IJGM-14-4219-g0001.jpg

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