Prognostic Profiling of the EMT-Associated and Immunity-Related LncRNAs in Lung Squamous Cell Carcinomas

Autor: Qifeng Sun, Yan Gao, Yehui Zhang, Hongmei Cao, Jiajia Liu, Shi-Yong Neo, Keguang Chen, Yanping Bi, Jing Wu
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Cells, Vol 11, Iss 18, p 2881 (2022)
Druh dokumentu: article
ISSN: 11182881
2073-4409
DOI: 10.3390/cells11182881
Popis: Lung squamous cell carcinoma (Lung SCC) is associated with metastatic disease, resulting in poor clinical prognosis and a low survival rate. The aberrant epithelial–mesenchymal transition (EMT) and long non-coding RNA (LncRNA) are critical attributors to tumor metastasis and invasiveness in Lung SCC. The present study divided lncRNAs into two subtypes, C1 and C2 (Cluster 1 and Cluster 2), according to the correlation of EMT activity within the public TCGA and GEO databases. Subsequently, the differential clinical characteristics, mutations, molecular pathways and immune cell deconvolution between C1 and C2 were evaluated. Lastly, we further identified three key lncRNAs (DNM3OS, MAGI2-AS3 and LINC01094) that were associated with EMT and, at the same time, prognostic for the clinical outcomes of Lung SCC patients. Our study may provide a new paradigm of metastasis-associated biomarkers for predicting the prognosis of Lung SCC.
Databáze: Directory of Open Access Journals
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