Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis

BACKGROUND: Oral cancer (OC) is a common and dangerous malignant tumor with a low survival rate. However, the micro level mechanism has not been explained in detail. METHODS: Gene and miRNA expression micro array data were extracted from the Gene Expression Omnibus (GEO) database. The differentially...

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Detalles Bibliográficos
Autores principales: Reyimu, Abdusemer, Chen, Ying, Song, Xudong, Zhou, Wubi, Dai, Jingjing, Jiang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361649/
https://www.ncbi.nlm.nih.gov/pubmed/34384424
http://dx.doi.org/10.1186/s12957-021-02360-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361649/
https://www.ncbi.nlm.nih.gov/pubmed/34384424
http://dx.doi.org/10.1186/s12957-021-02360-w

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