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

ABSTRACT:

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 metastasis-related DEGs. The transcriptional expression levels of the key genes were analyzed using the UALCAN database, and the corresponding protein expression were validated by Immunohistochemistry (IHC). Survival analysis of the key genes was performed using the GEPIA database. Wound healing assay and Transwell assay were conducted to determine whether knockdown of the ke

SUBMITTER: Song F 

PROVIDER: S-EPMC8547030 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature