Identification of MEG8/miR‐378d/SOBP axis as a novel regulatory network and associated with immune infiltrates in ovarian carcinoma by integrated bioinformatics analysis

Identification of MEG8/miR‐378d/SOBP axis as a novel regulatory network and associated with immune infiltrates in ovarian carcinoma by integrated bioinformatics analysis

Abstract Background To investigate the potential molecular mechanism of ovarian cancer (OC) evolution and immunological correlation using the integrated bioinformatics analysis. Methods Data from the Gene Expression Omnibus was used to gain differentially expressed genes (DEGs). Gene Ontology and Ky...

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Bibliographic Details
Main Authors: Jian Lei, Zhen‐Yu He, Jun Wang, Min Hu, Ping Zhou, Chen‐Lu Lian, Li Hua, San‐Gang Wu, Juan Zhou
Format: Article
Language:English
Published: Wiley 2021-04-01
Series:Cancer Medicine
Subjects:
bioinformatics analysis
competing endogenous RNA
differently expressed genes
ovarian cancer
tumor‐infiltrating lymphocytes
Online Access:https://doi.org/10.1002/cam4.3854

Internet

https://doi.org/10.1002/cam4.3854

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