scholarly journals Weighted gene co-expression network analysis in identification of metastasis-related genes of lung squamous cell carcinoma based on the Cancer Genome Atlas database

2017 ◽  
Vol 9 (1) ◽  
pp. 42-53 ◽  
Author(s):  
Feng Tian ◽  
Jinlong Zhao ◽  
Xinlei Fan ◽  
Zhenxing Kang
Keyword(s):  
Squamous Cell Carcinoma ◽  
Network Analysis ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Lung Squamous Cell Carcinoma ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Cancer Genome Atlas ◽  
Genome Atlas

A seven long-noncoding RNA signature predicts prognosis of lung squamous cell carcinoma

2020 ◽  
Vol 14 (1) ◽  
pp. 53-63
Author(s):  
Shuai Li ◽  
Yue Teng ◽  
Min-Jie Yuan ◽  
Ting-Ting Ma ◽  
Jian Ma ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Noncoding Rna ◽  
Lung Squamous Cell Carcinoma ◽  
Mapk Signaling ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Cancer Genome Atlas ◽  
Genome Atlas

Aim: This study profiled differentially expressed long noncoding RNAs (lncRNAs) in lung squamous cell carcinoma (LSCC) to predict LSCC overall survival (OS) using The Cancer Genome Atlas data. Materials & methods: The RNA-seq and clinical dataset of 475 LSCC patients was retrieved from The Cancer Genome Atlas database and statistically analyzed. Results: There were 67 upregulated and 32 downregulated lncRNAs in LSCCs and 12 lncRNAs associated with OS. The seven-lncRNA signature was associated with poor OS and RP11-150O12.6 and CTA-384D8.35 were associated with better OS (p < 0.001). The seven lncRNAs-mRNA interaction network analysis showed their association with 187 protein-coding genes for cancer development, cell migration, adhesion, proliferation, apoptosis, angiogenesis and the MAPK signaling pathways. Conclusion: This seven-lncRNA signature is useful to predict LSCC OS.

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