Cargando…
Integrated Transcriptome Profiling Identifies Prognostic Hub Genes as Therapeutic Targets of Glioblastoma: Evidenced by Bioinformatics Analysis
[Image: see text] Glioblastoma (GBM) is the most devastating and frequent type of primary brain tumor with high morbidity and mortality. Despite the use of surgical resection followed by radio- and chemotherapy as standard therapy, the progression of GBM remains dismal with a median overall survival...
Autores principales: | Nayak, Chirasmita, Singh, Sanjeev Kumar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260928/ https://www.ncbi.nlm.nih.gov/pubmed/35811900 http://dx.doi.org/10.1021/acsomega.2c01820 |
Ejemplares similares
-
In silico identification of natural product inhibitors against Octamer-binding transcription factor 4 (Oct4) to impede the mechanism of glioma stem cells
por: Nayak, Chirasmita, et al.
Publicado: (2021) -
Identification of hub genes and pathways in glioblastoma by bioinformatics analysis
por: Yang, Shoubo, et al.
Publicado: (2019) -
Integrated bioinformatics analysis to identify 15 hub genes in breast cancer
por: Jin, Haoxuan, et al.
Publicado: (2019) -
Identification of prognostic hub genes and therapeutic targets for selenium deficiency in chicks model through transcriptome profiling
por: Lingamgunta, Lakshman Kumar, et al.
Publicado: (2023) -
Analyzing Prognostic Hub Genes in the Microenvironment of Cutaneous Melanoma by Computer Integrated Bioinformatics
por: Li, Guangyao, et al.
Publicado: (2022)