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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...
Autores principales: | Wei, Tianyi, Liang, Yulai, Anderson, Claire, Zhang, Ming, Zhu, Naishuo, Xie, Jun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
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 |
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