Sixteen prostate studies were identified in the cBioPortal for Cancer Genomics (Table (Table2)2) [28, 29]. The three lipin genes (LPIN1, LPIN2, and LPIN3) were queried. Alterations in lipin genes within four types of prostate cancer were generated under the Cancer Types Summary through the selection of Cancer Type Detailed and Alteration Frequency. The overall survivability in prostate cancer patients with or without lipin gene alteration was determined using the Comparison/Survival tab and selecting survival. Within GEPIA 2, Single Gene Analysis and Boxplots were selected [30]. Variation in expression levels of lipin genes were observed in patients with and without prostate cancer (PRAD). The method for differential analysis was a one-way ANOVA, using disease state (Tumor or Normal) as the variable for calculating differential expression. The expression data are first log2(TPM + 1) transformed for differential analysis and the log2FC is defined as median (Tumor) - median (Normal). Genes with higher |log2FC| values and lower q values than pre-set thresholds are considered differentially expressed genes [28]. Multiple Gene Analysis and Correlation Analysis were selected. Pair-wise gene expression correlations, using the Pearson method, of the lipin genes were analyzed based on TCGA and prostate GTEx databases.

Prostate Cancer Population Studies from cBioPortal

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