Objective Screening out lipid metabolic genes that are significantly related to the prognosis of prostate cancer. Methods The clinical data and mRNA expression data of prostate cancer were downloaded from the TCGA database; R language was applied to screen the differential genes between the normal tissue and the prostate cancer tissue. Kyoto Encyclopedia of Genes and Genomes (KEGG) database was used to search lipid metabolism genes. Combining the patient's survival status and survival time, the prognostic related lipid metabolic genes were screened out by uniCOX regression. The survival analysis was done by dividing the patients into high and low expression group. Gene Set Enrichment Analysis (GSEA) software was applied to the function enrichment of the key gene. Results A total of 1973 differential genes were screened, including 83 differential lipid metabolic genes. A total of five lipid metabolic genes were found which were related to promote prostate cancer, including CPT1B, AKR1C4, AKR1C2, UGT1A10, and CYP4F3. Survival analysis showed that CPT1B was significantly correlated with the prognosis of prostate cancer. Function enrichment analysis showed that CPTIB was significantly positively correlated with linoleic acid and α linolenic acid metabolism, and negatively correlated with WNT signaling pathway. Conclusion CPT1B overexpression is significantly associated with poor prognosis in prostate cancer.