Journal: Cancer Cell International
Article Title: Discovery and validation of RAB3B as a diagnostic biomarker for prostate cancer with serum PSA below 10 ng/mL based on a multi-omics study
doi: 10.1186/s12935-025-04092-3
Figure Lengend Snippet: Further screening of candidate genes and characterization of their expression profiles. (A-B) The three genes were identified as the optimal feature genes through the LASSO logistic regression algorithm with 10-fold cross-validation. (C-D) Gene filtering by the SVM-RFE algorithm resulted in the identification of five optimal feature genes (maximum accuracy = 0.75, minimum RMSE = 0.25). (E) A Venn diagram illustrated the intersection of the three genes (RAB3B, SLC4A4, and SPON2) obtained from both LASSO and SVM-RFE models. PSA < 10 ng/mL tumors and matched normal tissues were subjected to analysis for the expression of RAB3B (F) , SPON2 (H) , and SLC4A4 (J) . Additionally, pan-cancer expression analysis was conducted for RAB3B (G) , SPON2 (I) , and SLC4A4 (K) . Bubble plots illustrate the expression of RAB3B, SPON2, and SLC4A4 in various cell types (L) as well as different epithelial cells (M) based on single-cell data
Article Snippet: RWPE-1 and BPH-1 cells were obtained from our institute’s laboratory, and prostate epithelial cancer cells (DU145, LNCaP and C4-2) were purchased from the ATCC cell bank.
Techniques: Expressing, Biomarker Discovery