Up-Regulating ERIC by CRISPR-dCas9-VPR Inhibits Cell Proliferation and Invasion and Promotes Apoptosis in Human Bladder Cancer.

LncRNAs are defined as non-coding RNAs that are longer than 200 nucleotides in length. The previous studys has shown that lncRNAs played important roles in the regulation of gene expression and were essential in mammalian development and disease processes. Inspired by the observation that lncRNAs are aberrantly expressed in tumors, we extracted RNA from Bladder urothelial carcinoma and matched histologically normal urothelium from each patient and bladder carcinoma cell lines. Then, we reversed transcribed them into cDNA.Last, we investigated the expression patterns of ERIC by the fluorescence quantitative PCR in bladder cancer tissues and cell lines. CRISPR-dCas9-VPR targeting ERIC plasmid was transfected into T24 and 5637 cells, and cells were classified into two groups: negative control (NC) and ERIC overexpression group. MTT assay, transwell assay, and flow cytometry were performed to examine changes in cell proliferation, invasiveness, and apoptosis. We found that the expression of ERIC was down-regulated in bladder urothelial carcinoma compared to matched histologically normal urotheliam. The differences of the expression of this gene were large in the bladder cancer lines. Compared with the negative control group, the ERIC overexpression group showed significantly decreased cell proliferation rate (t = 7.583, p = 0.002; t = 3.283, p = 0.03) and invasiveness (t = 11.538, p < 0.001; t = 8.205, p = 0.01); and increased apoptotic rate (t = -34.083, p < 0.001; t = -14.316, p < 0.001). Our study lays a foundation for further study of its pathogenic mechanism in bladder cancer.

Stabilization of the Karenitecin® lactone by alpha-1 acid glycoprotein.

PURPOSE: Camptothecins contain a lactone ring that is necessary for antitumor activity, and hydrolysis of the lactone ring yields an inactive carboxylate species. Human serum albumin (HSA) and alpha-1 acid glycoprotein (AGP) are clinically significant plasma proteins thought to have important roles in camptothecin lactone stability. Herein, we examined the effect(s) of HSA and AGP on the lactone stability of Karenitecin, a novel, highly lipophilic camptothecin analog, currently at the phase 3 clinical testing stage. METHODS: An AGP-immobilized protein column was used to develop HPLC methods to evaluate the effect(s) of physiologically relevant HSA and AGP concentrations on the lactone/carboxylate ratio and hydrolysis kinetics of Karenitecin, camptothecin (CPT), and topotecan (TPT). RESULTS: Physiologically relevant concentrations of HSA and AGP substantially slowed Karenitecin lactone hydrolysis. AGP was notably more effective at protecting the Karenitecin lactone from hydrolysis than HSA was in promoting hydrolysis. Additionally, AGP reversed the hydrolysis of partially hydrolyzed Karenitecin lactone. In contrast, HSA and AGP had minimal effects on hydrolysis of the TPT lactone, while the AGP/HSA solutions dramatically accelerated hydrolysis of the CPT lactone. CONCLUSION: AGP strongly enhances the lactone stability of Karenitecin. Since Karenitecin is highly protein-bound in human plasma and exhibits greater lactone stability, relative to other camptothecins, in patient plasma samples, this newly identified role of AGP in promoting lactone stability may have important implications for the design of more effective anticancer agents within the Karentecin™ and camptothecin classes.

Analysis of BNP7787 thiol-disulfide exchange reactions in phosphate buffer and human plasma using microscale electrochemical high performance liquid chromatography.

BNP7787 (disodium 2,2'-dithio-bis ethane sulfonate; Tavocept) is a novel water-soluble investigational agent that is undergoing clinical development for prevention and mitigation of cisplatin-induced nephrotoxicity. BNP7787 is a disulfide that undergoes thiol-disulfide exchange reactions in vivo with physiological thiols. Mesna-disulfide heteroconjugates that form as a result of these exchange reactions may play a key role in the protection against cisplatin-induced nephrotoxicity. Although several analytical methods have been used to detect thiols and disulfides, they have notable limitations including (i) low sensitivity, (ii) interference by chemical modification by derivatization reagents, and (iii) cumbersome sample preparation. In this paper, a sensitive micro-HPLC-EC method is described that identifies BNP7787 and mesna in plasma and phosphate buffer across a broad concentration range from 500nM to 100microM. This method utilizes a dual electrochemical detector equipped with a wall-jet gold electrode. The approach described here facilitates the identification of BNP7787 and mesna down to nanomolar levels. Although we did not focus on optimizing the approach for other thiol and disulfide compounds, we believe this approach could be optimized and used in the identification of other thiols and disulfides in plasma. The assay requires significantly less sample preparation and does not involve the use of derivatizing agents (i.e., the thiol and disulfide species can be detected directly) and represents an important advance over previous methods. This method was used to detect and quantitate BNP7787 and to monitor and kinetically characterize the interactions of BNP7787 with glutathione, cysteine, cysteinyl-glycine, cysteinyl-glutamate and homocysteine.

New approaches to drug discovery and development: a mechanism-based approach to pharmaceutical research and its application to BNP7787, a novel chemoprotective agent.

Any approach applied to drug discovery and development by the medical community and pharmaceutical industry has a direct impact on the future availability of improved, novel, and curative therapies for patients with cancer. By definition, drug discovery is a complex learning process whereby research efforts are directed toward uncovering and assimilating new knowledge to create and develop a drug for the purpose of providing benefit to a defined patient population. Accordingly, a highly desirable technology or approach to drug discovery should facilitate both effective learning and the application of newly discovered observations that can be exploited for therapeutic benefit. However, some believe that drug discovery is largely accomplished by serendipity and therefore appropriately addressed by screening a large number of compounds. Clearly, this approach has not generated an abundance of new drugs for cancer patients and suggests that a tangibly different approach in drug discovery is warranted. We employ an alternative approach to drug discovery, which is based on the elucidation and exploitation of biological, pharmacological, and biochemical mechanisms that have not been previously recognized or fully understood. Mechanism-based drug discovery involves the combined application of physics-based computer simulations and laboratory experimentation. There is increasing evidence that agreement between simulations based on the laws of physics and experimental observations results in a higher probability that such observations are more accurate and better understood as compared with either approach used alone. Physics-based computer simulation applied to drug discovery is now considered by experts in the field to be one of the ultimate methodologies for drug discovery. However, the ability to perform truly comprehensive physics-based molecular simulations remains limited by several factors, including the enormous computer-processing power that is required to perform the formidable mathematical operations and data processing (e.g. memory bandwidth, data storage and retrieval). Another major consideration is the development of software that can generate an appropriate and increasingly complex physical representation of the atomic arrangements of biological systems. During the past 17 years, we have made tremendous progress in addressing some of these obstacles by developing and optimizing physics-based computer programs for the purpose of obtaining increasingly accurate and precise information and by improving the speed of computation. To perform physics-based simulations that involve complex systems of biological and pharmaceutical interest, we have developed methods that enable us to exceed Moore's law. This has been accomplished by parallel processing as well as other methods that have enabled us to study more complex and relevant molecular systems of interest. This paper provides an overview of our approach to drug discovery and describes a novel drug, currently in clinical development, which has directly resulted from the application of this approach.