A novel risk model of three SUMOylation genes based on RNA expression for potential prognosis and treatment sensitivity prediction in kidney cancer.

Introduction: Kidney cancer is one of the most common and lethal urological malignancies. Discovering a biomarker that can predict prognosis and potential drug treatment sensitivity is necessary for managing patients with kidney cancer. SUMOylation is a type of posttranslational modification that could impact many tumor-related pathways through the mediation of SUMOylation substrates. In addition, enzymes that participate in the process of SUMOylation can also influence tumorigenesis and development. Methods: We analyzed the clinical and molecular data which were obtanied from three databases, The Cancer Genome Atlas (TCGA), the National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (CPTAC), and ArrayExpress. Results: Through analysis of differentially expressed RNA based on the total TCGA-KIRC cohort, it was found that 29 SUMOylation genes were abnormally expressed, of which 17 genes were upregulated and 12 genes were downregulated in kidney cancer tissues. A SUMOylation risk model was built based on the discovery TCGA cohort and then validated successfully in the validation TCGA cohort, total TCGA cohort, CPTAC cohort, and E-TMAB-1980 cohort. Furthermore, the SUMOylation risk score was analyzed as an independent risk factor in all five cohorts, and a nomogram was constructed. Tumor tissues in different SUMOylation risk groups showed different immune statuses and varying sensitivity to the targeted drug treatment. Discussion: In conclusion, we examined the RNA expression status of SUMOylation genes in kidney cancer tissues and developed and validated a prognostic model for predicting kidney cancer outcomes using three databases and five cohorts. Furthermore, the SUMOylation model can serve as a biomarker for selecting appropriate therapeutic drugs for kidney cancer patients based on their RNA expression.

Discovery of a novel 1H-pyrazole- [3,4-b] pyridine-based lysine demethylase 5B inhibitor with potential anti-prostate cancer activity that perturbs the phosphoinositide 3-kinase/AKT pathway.

Lysine demethylase 5B (KDM5B) is a member of the Jumonji AT-rich interactive domain 1 family. Its main function is to demethylate di/trimethyl histone H3 lysine 4 and it plays a crucial role in the occurrence and development of cancer. In this study, we performed structure-based optimization of KDM5B inhibitors based on our previous work and the most active compound we synthesized was 11ad. Molecular modeling studies and thermal shift assays revealed that 11ad specifically targets KDM5B at the molecular and cellular levels. Crucially, 11ad demonstrated good pharmacokinetic properties and anti-prostate cancer activity in a xenograft model. Furthermore, unexpectedly, the specificity of 11ad for prostate cancer was found to be related to its inhibition of the phosphoinositide 3-kinase/AKT pathway. This is the first report of a KDM5B inhibitor affecting this pathway. Taken together, our findings indicate that 11ad is a novel KDM5B inhibitor that may serve as a lead compound for the development of treatments for prostate cancer.