Molecular subtyping and prognostic assessment of prostate cancer based on consensus genes
Abstract Prostate cancer (PCa) is one of the most common malignancies in men all over the world. We performed molecular subtyping and prognostic assessment based on consensus genes in patients with PCa. Five cohorts containing 1,046 PCa patients with RNA expression profiles and recorded clinical follow-up information were included. Univariate, multivariate Cox regression analysis and the Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression was used to select prognostic genes and establish the signature. Immunohistochemistry staining, cell proliferation, migration and invasion assay were used to assess the biological function of key genes. 39 intersecting consensus prognostic genes from five independent cohorts were identified (P < 0.05). Subsequently, an eleven-consensus-gene-based classifier was established. Besides, multivariate Cox regression analyses proved that the classifier served as an independent indicator of recurrence-free survival in three of five cohorts. Combined receiver operating character (ROC) achieved synthesized effects by combining the classifier with clinicopathological features in four of five cohorts. SRD5A2 inhibits the cell proliferation, while ITGA11 promote cell migration and invasion, of which might through PI3K/AKT signaling pathway. To conclude, we establish and validate an eleven-consensus-gene-based classifier, which adds prognostic value to the currently available staging system.