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Identification of Potential Key Genes and Prognostic Biomarkers of Lung Cancer Based on Bioinformatics
OBJECTIVE: To analyze and identify the core genes related to the expression and prognosis of lung cancer including lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) by bioinformatics technology, with the aim of providing a reference for clinical treatment. METHODS: Five sets of gene...
Autores principales: | Cai, Kaier, Xie, Zhilong, Liu, Yingao, Wu, Junfeng, Song, Hao, Liu, Wang, Wang, Xinyi, Xiong, Yinghuan, Gan, Siyuan, Sun, Yanqin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876670/ https://www.ncbi.nlm.nih.gov/pubmed/36714024 http://dx.doi.org/10.1155/2023/2152432 |
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