Verification of cell cycle-associated cyclin-dependent kinases facilitated prostate cancer progression by integrated bioinformatic analysis and experimental validation.

Introduction: Cell cycle-associated cyclin-dependent kinases (ccCDKs) are essential regulators known to control cell division and facilitate tumorigenesis and progression. However, there is currently no comprehensive study of distinct ccCDKs in prostate cancer (PCa). The purpose of this study was to determine the value of ccCDK expression in predicting the prognosis of patients with PCa and to identify the gene functions of ccCDK in PCa. Methods: The UALCAN databases were analyzed to examine the expression of CDKs in prostate cancer. The Human Protein Atlas was used to verify the expression of CDKs online. Then, we assessed the prognostic values of CDKs using GEPIA. GeneMANIA and Metascape analyses were used to predict biological functions. We analyzed the mutation of CDKs by cBioPortal. The TIMER database was used to evaluate the correlation of CDKs and immune infiltration. The expression of CDKs in tissue was examined through quantitative real-time polymerase chain reaction. After that, we focused on CDK3 and identified the expression of CDK3 by immunohistochemistry and western blot. The functions of CDK3 in C4-2 cell proliferation were determined by CCK-8 assays. C4-2 cells were tested for their ability to invade and migrate through transwell and wound healing assays. Results: The results showed that CDK1/3/4/5/6/16 was expressed at relatively higher levels in PCa tissues than in normal tissues. Patients with low expression of CDK1/3/5/16 exhibited significantly better disease-free survival than those with high expression. ccCDKs were enriched in the IL-18 signaling pathway and correlated with the infiltration of immune cells in PCa. Moreover, our cohort study data verified that there were significantly higher expression of CDK1/3/5/16 in PCa tissues compared to benign prostate hyperplasia tissues, and CDK3 was remarkably associated with a shorter progression-free survival for biochemical recurrence in PCa patients. CDK3 was positively expressed in PCa cells and tissues, and functional experiments demonstrated that silencing CDK3 inhibited PCa cell proliferation, migration, and invasion. Conclusions: Our study provides new evidence of ccCDKS in promoting PCa progression and implies that CDK3 may serve as an oncogene in PCa and may be valuable in the prognosis of biochemical recurrence in PCa patients.

Evaluation of NOTCH family genes' expression and prognostic value in prostate cancer.

Background: Abnormal regulation of the NOTCH signaling pathway in prostate cancer (PCa) can promote tumorigenesis, progression, and T cell exhaustion. However, there has not been a comprehensive analysis of NOTCH family genes (NOTCHs) as potential therapeutic targets and prognostic biomarkers for PCa patients. Methods: NOTCHs expressions in various types of cancer tissues and normal adjacent tissues in the TIMER and UALCAN database were screened. Immunohistochemistry (IHC) and real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) were applied to validate the expression pattern of NOTCHs in clinical samples. The relationships of NOTCHs expression and clinicopathologic parameters or disease-free survival (DFS) were evaluated via GEPIA2 and UALCAN. A proteins network was built using STRING and GeneMANIA. Additionally, NOTCHs mutation status was analyzed by cBioportal. Finally, we used GDSC and TIMER to investigate NOTCH signaling-related drugs and immune cell infiltration. Results: The transcriptional levels of NOTCH1 and NOTCH4 in PCa tissues were significantly lower than in normal tissues, which was further validated in clinical patients' tissue samples. Furthermore, NOTCH1, NOTCH3, and NOTCH4 expressions in PCa were associated with worse DFS. Interestingly, there was a significant positive correlation between NOTCHs and androgen receptor (AR), but not with AR-related genes (KLK3 and TMPRSS2). Finally, we found that NOTCHs expressions were remarkably associated with infiltration of B cells, CD8+/CD4+ T cells, macrophages, neutrophils, and dendritic cells, which indicated that NOTCHs mutation status might be a potential therapeutic target for -tinib antineoplastic drugs. Conclusions: The expression and mutation of NOTCH1-4 in PCa were associated with disease progression, prognosis, immune cell infiltration, and drug sensitivity.

Identification of ARHGEF38, NETO2, GOLM1, and SAPCD2 Associated With Prostate Cancer Progression by Bioinformatic Analysis and Experimental Validation.

Prostate cancer (PCa) represents one of the most prevalent types of cancers and is a large health burden for men. The pathogenic mechanisms of PCa still need further investigation. The aim of this study was to construct an effective signature to predict the prognosis of PCa patients and identify the biofunctions of signature-related genes. First, we screened differentially expressed genes (DEGs) between PCa and normal control tissues in The Cancer Genome Atlas (TCGA) and GSE46602 datasets, and we performed weighted gene co-expression network analysis (WGCNA) to determine gene modules correlated with tumors. In total, 124 differentially co-expressed genes were retained. Additionally, five genes (ARHGEF38, NETO2, PRSS21, GOLM1, and SAPCD2) were identified to develop the prognostic signature based on TCGA dataset. The five-gene risk score was verified as an independent prognostic indicator through multivariate Cox regression analyses. The expression of the five genes involved in the signature was detected in the Gene Expression Omnibus (GEO), Gene Expression Profiling Interactive Analysis (GEPIA), and Oncomine databases. In addition, we utilized DiseaseMeth 2.0 and MEXPRESS for further analysis and found that abnormal methylation patterns may be a potential mechanism for these five DEGs in PCa. Finally, we observed that these genes, except PRSS21, were highly expressed in tumor samples and PCa cells. Functional experiments revealed that silencing ARHGEF38, NETO2, GOLM1, and SAPCD2 suppressed the proliferation, migration, and invasiveness of PCa cells. In summary, this prognostic signature had significant clinical significance for treatment planning and prognostic evaluation of patients with PCa. Thus, ARHGEF38, NETO2, GOLM1, and SAPCD2 may serve as oncogenes in PCa.

Methylcrotonoyl-CoA Carboxylase 2 Promotes Proliferation, Migration and Invasion and Inhibits Apoptosis of Prostate Cancer Cells Through Regulating GLUD1-P38 MAPK Signaling Pathway.

PURPOSE: Prostate cancer (PCa) is the most common cancer in American men, and the mechanisms of development and progression are still not completely clear. Methylcrotonoyl-CoA carboxylase 2 (MCCC2) was previously identified overexpressed in PCa with lymph node metastasis, but its specific role and mechanisms need further investigation. This study aimed to investigate the role of MCCC2 in PCa cells and its underlying mechanisms. MATERIALS AND METHODS: Quantitative RT-PCR and Western blotting were used to detect MCCC2 mRNA and protein expression in normal prostate epithelium and cancerous cells. Upon manipulation of MCCC2 expression, cell proliferation was measured by CCK-8 assays and migration and invasion were determined by transwell assays. Changes of apoptosis, cell cycle and mitochondrial membrane potential were evaluated by flow cytometry. MCCC2-mediated signaling pathways were screened by bioinformatics and verified by RT-PCR and Western blotting. Finally, immunohistochemistry was performed to detect the expression of MCCC2 and glutamate dehydrogenase 1 (GLUD1) in PCa tissues to analyze their correlation. RESULTS: We demonstrated that MCCC2 promoted cell proliferation, migration and invasion but inhibited apoptosis in PCa cells. In addition, MCCC2 in 22Rv1 cells induced mitochondrial damage. In PCa tissues, MCCC2 overexpression associated with lymph node metastasis (P=0.001) and high Gleason scores (P<0.001). MCCC2 positively correlated with GLUD1 expression in PCa tissues (r=0.435, P<0.001). Ectopic overexpression of MCCC2 up-regulated GLUD1 and p38 MAPK expression, whereas inhibition of MCCC2 decreased GLUD1 and p38 MAPK expression. CONCLUSION: MCCC2 exerts oncogenic function in PCa through regulating GLUD1-p38 MAPK signaling pathway, and it may be a potential treatment target.