Preclinical analysis of novel prognostic transcription factors and immune-related gene signatures for bladder cancer via TCGA-based bioinformatic analysis.

Bladder cancer (BLCA) is a common malignancy of human urinary tract, whose prognosis is influenced by complex gene interactions. Immune response activity can act as a potential prognostic factor in BLCA. The present study established a prognostic model, based on the identification of tumor transcription factors (TFs) and immune-related genes (IRGs), and further explored their therapeutic potential in BLCA. The enrichment scores of 29 IRG sets, identified in The Cancer Genome Atlas BLCA tumor samples, were quantified by single-sample Gene Set Enrichment Analysis. The abundance of infiltrated immune cells in tumor tissues was determined using the Estimating Relative algorithm. Tumor-related TFs and IRGs signatures were retrieved using Least Absolute Shrinkage and Selection Operator Cox regression analysis. A prognostic gene network was built using Pearson's correlation analysis as a means of predicting the regulatory relationship between prognostic TFs and IRGs. A nomogram was devised to also predict the overall survival (OS) rate of patients with BLCA. Based on the Genomics of Drug Sensitivity in Cancer data, potential therapeutic drugs were identified upon analyzing the relationship between the expression level of prognostic genes and respective IC50 values. In vitro experiments were implemented for further validation. Respective TF binding profiles were acquired from the JASPAR 2020 database. The elevated infiltration of CD8+ T Cells was correlated with an improved OS of patients with BLCA. An innovative prognostic model for BLCA was then constructed that composed of nine putative gene markers: CXCL13, prepronociceptin, microtubule-associated protein tau, major histocompatibility class I polypeptide-related sequence B, prostaglandin E2 receptor EP3 subtype, IL20RA, proepiregulin, early growth response protein 1 and FOS-related antigen 1 (FOSL1). Furthermore, a theoretical basis for the correlation between the prognostic TFs and IRGs was reported. For this, 10 potentially effective drugs targeting the TFs in the present model for patients with BLCA were identified. It was then verified that downregulation of FOSL1 can lead to an enhanced sensitivity of the TW37 in T24 bladder cancer cells. Overall, the present prognostic model demonstrated a robust capability of predicting OS of patients with BLCA. Hence, the gene markers identified could be applied for targeted therapies against BLCA.

Andrographolide sensitizes human renal carcinoma cells to TRAIL­induced apoptosis through upregulation of death receptor 4.

Tumor necrosis factor­related apoptosis­inducing ligand (TRAIL) selectively induces apoptosis in cancer cells, with minimal toxicity to normal tissues. However, accumulating evidence suggests that certain cancer types are insensitive to TRAIL signaling. The aim of this study was to identify an effective combination regimen, which can overcome TRAIL resistance in renal cancer cell. Herein, we found that human renal carcinoma cells (RCCs) are widely resistant to TRAIL­mediated growth inhibition and subsequently identified that andrographolide (Andro), a major constituent of Andrographis paniculate, an annual herbaceous plant in the family Acanthaceae, counteracts TRAIL resistance in RCCs. Combined treatment with TRAIL and Andro suppressed cell viability as determined by MTS and proliferation as determined by EdU in a dose­dependent manner and inactivated the clonogenic and migration ability of RCCs. Andro significantly enhances TRAIL­mediated cell cycle arrest at the G2/M phase as determined by flow cytometry and senescence. Moreover, Andro restored TRAIL signaling, which in turns activated pro­apoptosis caspases as determined by immunoblot assay. The TRAIL receptor, death receptor (DR)4, but not DR5, was found to be significantly upregulated in Andro­treated RCC cells, which contributed to the role of Andro as a TRAIL sensitizer. The present study demonstrated that the combined treatment of Andro and TRAIL has potential therapeutic value against renal cancer.

A Surveillance, Epidemiology and End Results database analysis of the prognostic value of organ-specific metastases in patients with advanced prostatic adenocarcinoma.

Prostate cancer (PCa) survival markedly decreases with the occurrence of distant metastasis, and treatment decisions can be influenced by metastasis site, and affect patient survival outcomes. The aim of the present study was to evaluate the potential prognostic value of metastasis to specific sites and the prognostic value of prostatectomy in patients with only bone metastasis, and to determine potential risk factors for bone metastasis in prostatic adenocarcinoma using large scale clinical data. The Surveillance, Epidemiology and End Results (SEER) database (2010-2013) was queried via the SEER*Stat (version 8.3.4) program. A total of 210,730 prostatic adenocarcinoma patients were identified from the SEER database between January 2010 and December 2013. Univariate and multivariate Cox regression analysis and Kaplan-Meier curves were used for survival comparisons with corresponding 95% confidence intervals. Patients with PCa with only liver metastatic lesions had worse overall and cancer-specific survival rates compared with those patients with only bone or lung metastasis. Multivariate Cox regression analysis revealed that age <50 years, married status, T1 and T3 tumor stage according to Tumor-Node-Metastasis (TNM) staging system from the 7th AJCC cancer staging manual, and prostatectomy were associated with better overall survival and cancer-specific survival in patients with only bone metastasis. Binary logistic regression analysis revealed that unmarried status, African descent and undifferentiated histological grade were risk factors for PCa bone metastasis. Prostatic adenocarcinoma patients with only liver metastasis had worse prognostic outcomes compared with patients with other distant organ metastases. Prostatectomy improved the 3-year survival rate in stage IV PCa patients and stage IV PCa patients with only bone metastasis. These findings were based on large-scale clinical data and can provide novel perspectives for the treatment of patients with advanced prostate adenocarcinoma.

Adenovirus oncoprotein E4orf6 triggers Cullin5 neddylation to activate the CLR5 E3 ligase for p53 degradation.

The human adenovirus oncoprotein E4orf6 hijacks intracellular Cullin 5-based E3 ubiquitin ligases (CRL5s) to induce the degradation of host proteins, including p53, that impede efficient viral replication. The complex also relies on another viral protein, E1B55K, to recruit substrates for ubiquitination. However, the determinants of adenoviral E4orf6-CRL5 E3 ligase-mediated p53 degradation in the scaffolding protein Cullin5 remain rarely investigated. Here, we demonstrated that the viral protein E4orf6 triggered relocalization of the Cullin5 protein from the cytoplasm to the nucleus and induced activation of the CRL5 E3 ligase via facilitating neddylation. The expression of the deneddylase SENP8/Den1 was significantly downregulated by E4orf6. We then identified SENP8 as a natural restriction factor for E4orf6-induced p53 degradation. Furthermore, our results indicated that the NEDD8-conjugating E2 enzyme UBE2M was essential for E4orf6-mediated p53 degradation and that its dominant negative mutant UBE2M C111S dramatically blocked E4orf6 functions. The Nedd8-activating enzyme inhibitor MLN4924 decreased E4orf6-induced neddylation of the cullin5 protein and subsequently suppressed p53 degradation. Collectively, our findings illuminate the strategy by which this viral oncoprotein specifically utilizes the neddylation pathway to activate host CRL E3 ligases to degrade host restriction factors. Disrupting this post-translational modification is an attractive pharmacological intervention against human adenoviruses.

Co-expression Network Analysis Identifies Four Hub Genes Associated With Prognosis in Soft Tissue Sarcoma.

Background: Soft tissue sarcomas (STS) are heterogeneous tumors derived from mesenchymal cells that differentiate into soft tissues. The prognosis of patients who present with an STS is influenced by the regulation of a complex gene network. Methods: Weighted gene co-expression network analysis (WGCNA) was performed to identify gene modules associated with STS (Samples = 156). Results: Among the 11 modules identified, the black and blue modules were highly correlated with STS. However, using preservation analysis, the black module demonstrated low preservation, therefore the blue module was chosen as the module of interest. Furthermore, a total of 20 network hub genes were identified in the blue module, 12 of which were also hub nodes in the protein-protein interaction network of the module genes. Following additional verification, 4 of 12 genes (RRM2, BUB1B, CENPF, and KIF20A) demonstrated poorer overall survival and disease-free survival rate in the test datasets. In addition, gene set enrichment analysis (GSEA) demonstrated that samples with a high level of blue module eigengene (ME) were enriched in cell cycle and metabolism associated signaling pathways. Conclusion: In summary, co-expression network analysis identified four hub genes associated with prognosis for STS, which may diminish the prognosis by influencing cell cycle and metabolism associated signaling pathways.

Andrographolide Enhances TRAIL-Induced Apoptosis via p53-Mediated Death Receptors Up-Regulation and Suppression of the NF-кB Pathway in Bladder Cancer Cells.

Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) is an effective chemotherapeutic agent that specifically impairs cancer cells while sparing normal cells; however, some cancer cells develop resistance to TRAIL. Here, we identified Andrographolide, a diterpenoid lactone derived from a traditional herbal medicine Andrographis paniculata, as an ideal sensitizer for TRAIL to overcome bladder cancer. Our results showed that combination treatment of Andro and TRAIL retarded growth, attenuated proliferation, decreased colony formation, inhibited migration and promoted caspases-mediated apoptosis in T24 cells. Additionally, the sensitization by Andro is achieved through up-regulation of death receptors (DR4 and DR5) of TRAIL in a p53-dependent manner. Crucially, Andro is also capable of inactivating NF-κB signaling pathway via transcriptional down-regulation p65/RelA, which is further contributed to enhancement of TRAIL-mediated cytotoxicity. These results indicated that non-toxic doses of Andrographolide sensitized bladder cancer cells to TRAIL-mediated apoptosis, suggesting it as an effective therapeutic agent for TRAIL resistant human bladder cancers.

A first-in-class inhibitor, MLN4924 (pevonedistat), induces cell-cycle arrest, senescence, and apoptosis in human renal cell carcinoma by suppressing UBE2M-dependent neddylation modification.

PURPOSE: MLN4924 is a second-generation inhibitor that targets ubiquitin-proteasome system by inhibiting neddylation activation enzyme (NAE), and subsequently blocking the neddylation-dependent activation of Cullin-RING E3 ligases (CRLs), which leads to the accumulation of CRLs substrates and hence, suppressing diverse tumor development. In this study, we investigated the potential application of this first-in-class inhibitor MLN4924 in the treatment of human renal cell carcinoma both in vitro and in vivo. METHODS: The impact of MLN4924 on renal cancer cells was determined by measuring viability (MTS), proliferation cell count test and clonogenic assays, cell cycle progression (flow cytometry with propidium iodide staining), apoptosis (flow cytometry with annexin V-FITC labeling) and DNA damage (immunofluorescent staining). The cell cycle regulatory molecules, apoptosis-related molecules, and cell stress-related proteins were examined by Western blotting. The influence of tumor cell migration was analyzed by wound healing assays. A well-established SCID xenograft mouse model was used to evaluate the effects of MLN4924 on tumor growth in vivo. RESULTS: The data showed that MLN4924 induced a dose-dependent cytotoxicity, anti-proliferation, anti-migration, and apoptosis in human renal cancer cells; and caused cell cycle arrested at the G2 phase. In addition, the E2 conjugating enzymes of Neddylation UBE2M played a major role in the proliferation control of renal cancer cells. Finally, we confirmed MLN4924 inhibited tumor growth in a RCC xenograft mouse model with minimal general toxicity. CONCLUSION: We concluded that MLN4924 induces apoptosis and cell cycle arrest. These findings implied that MLN4924 provides a novel strategy for the treatment of RCC.