Identification of candidate hub genes correlated with the pathogenesis, diagnosis, and prognosis of prostate cancer by integrated bioinformatics analysis

BACKGROUND: Prostate cancer (PCa) has the second highest morbidity and mortality rates in men. Concurrently, novel diagnostic and prognostic biomarkers of PCa remain crucial. METHODS: This study utilized integrated bioinformatics method to identify and validate the potential hub genes with high diag...

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Detalles Bibliográficos
Autores principales: Wei, Tianyi, Liang, Yulai, Anderson, Claire, Zhang, Ming, Zhu, Naishuo, Xie, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641109/
https://www.ncbi.nlm.nih.gov/pubmed/36388030
http://dx.doi.org/10.21037/tcr-22-703

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641109/
https://www.ncbi.nlm.nih.gov/pubmed/36388030
http://dx.doi.org/10.21037/tcr-22-703

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