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

Abstract 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 differe...

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Bibliographic Details
Main Authors: Abdusemer Reyimu, Ying Chen, Xudong Song, Wubi Zhou, Jingjing Dai, Feng Jiang
Format: Article
Language:English
Published: BMC 2021-08-01
Series:World Journal of Surgical Oncology
Subjects:
Online Access:https://doi.org/10.1186/s12957-021-02360-w