Abstract
Background: The progression from non-muscle-invasive bladder cancer (NMIBC) to muscle-invasive bladder cancer (MIBC) increases the risk of death. It is therefore important to find new relevant molecular models that will allow for effective prediction of the progression and prognosis of bladder cancer (BC).Methods: Using RNA-Sequence data of 49 BC patients in our center and weighted gene co-expression network analysis methods, a co-expression network of genes was developed and three key modules associated with malignant progression were selected. Based on the genes in three key modules, an eight-gene risk score was established using univariate Cox regression and the Least absolute shrinkage and selection operator Cox model in The Cancer Genome Atlas Program (TCGA) and validated in validation sets. Subsequently, a nomogram based on the risk score was constructed for prognostic prediction. The mRNA and protein expression levels of eight genes in cell lines and tissues were further investigated.Results: A novel eight-gene risk score was closely related to the malignant clinical features of BC and could predict the prognosis of patients in the training dataset (TCGA) and three validation sets (GSE3289 , GSE13507 and IMvigor210 trial). The nomogram showed good prognostic prediction and calibration. The mRNA and protein expression level of the eight genes were differentially expressed in cell lines and tissues.Conclusions: In our study, we established a novel eight-gene risk score which could predict the progression and prognoses of BC patients.
Selected protein expression in a new prognostic model for patients with non-muscle-invasive bladder cancer
