Identification of novel key genes associated with the metastasis of prostate cancer based on bioinformatics prediction and validation

Abstract excerpt

BACKGROUND: Metastatic prostate cancer (PCa) is a lethal tumor. However, the molecular mechanisms underlying PCa progression have not been fully elucidated. METHODS: Transcriptome expression profiling and clinical information on primary and metastatic PCa samples were obtained from TCGA. R software was used to screen the DEGs, and LASSO logistical regression method was utilized to identify the pivotal PCa...

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