SYNTHESIS AND BIOLOGICAL EVALUATION OF ANTITUMOR ALDOPHOSPHAMIDE ACETALS

Although the major metabolic pathways of cyclophosphamide are well established, the mechanism of antitumor drug selectivity is highly controversial. However, it is widely accepted that aldophosphamide, one of the primary metabolites, plays a crucial role in drug selectivity. In an attempt to gain a better understanding of the mechanism of selectivity of cyclophosphamide, a series of aldophosphamide analogs have been synthesized.^ The new analogs, unlike aldophosphamide, are relatively stable in neutral solution; however, they are converted rapidly to aldehydo intermediates in the presence of carboxylate esterase. Due to structural differences, these analogs may be classified into three different groups, arbitrarily designated as A, B, C, depending upon the facility with which the intermediate aldehydes form 4-hydroxy cyclic tautomers. The half-life of the aldehydo/4-hydroxy cyclic tautomeric mixture is longer for bis(acetoxy)aldophosphamide acetal I (a representative of group A), shorter for the n-ethyl analog III (B), and shortest for the N,N-dimethyl analog IV (C). The ratio of aldophosphamide: 4-hydroxycyclophosphamide at pseudoequilibrium is 1: 4 for compound I, 1: 2 for compound III and 0: 1 for compound IV. The therapeutic efficacy of these compounds are group A $>$ group B $>$ group C. It is apparent that the equilibrium position between the aldehydo and 4-hydroxy cyclic tautomers, which determines their stability, is a crucial determinant of both the cytotoxicity and antitumor selectivity. These findings, taken in conjunction with the aldehyde dehydrogenase selectivity hypothesis, may provide an explanation for the unique antitumor activity of cyclophosphamide. ^

Advanced Protein Modeling Method: Benchmarking and Applications in Computer-Aided Drug Discovery

Development of homology modeling methods will remain an area of active research. These methods aim to develop and model increasingly accurate three-dimensional structures of yet uncrystallized therapeutically relevant proteins e.g. Class A G-Protein Coupled Receptors. Incorporating protein flexibility is one way to achieve this goal. Here, I will discuss the enhancement and validation of the ligand-steered modeling, originally developed by Dr. Claudio Cavasotto, via cross modeling of the newly crystallized GPCR structures. This method uses known ligands and known experimental information to optimize relevant protein binding sites by incorporating protein flexibility. The ligand-steered models were able to model, reasonably reproduce binding sites and the co-crystallized native ligand poses of the β2 adrenergic and Adenosine 2A receptors using a single template structure. They also performed better than the choice of template, and crude models in a small scale high-throughput docking experiments and compound selectivity studies. Next, the application of this method to develop high-quality homology models of Cannabinoid Receptor 2, an emerging non-psychotic pain management target, is discussed. These models were validated by their ability to rationalize structure activity relationship data of two, inverse agonist and agonist, series of compounds. The method was also applied to improve the virtual screening performance of the β2 adrenergic crystal structure by optimizing the binding site using β2 specific compounds. These results show the feasibility of optimizing only the pharmacologically relevant protein binding sites and applicability to structure-based drug design projects.

Intrinsic oxidative stress in cancer cells: A biochemical basis for therapeutic selectivity using ROS -generating agents

A major goal of chemotherapy is to selectively kill cancer cells while minimizing toxicity to normal cells. Identifying biological differences between cancer and normal cells is essential in designing new strategies to improve therapeutic selectivity. Superoxide dismutases (SOD) are crucial antioxidant enzymes required for the elimination of superoxide (O2·− ), a free radical produced during normal cellular metabolism. Previous studies in our laboratory demonstrated that 2-methoxyestradiol (2-ME), an estradiol derivative, inhibits the function of SOD and selectively kills human leukemia cells without exhibiting significant cytotoxicity in normal lymphocytes. The present work was initiated to examine the biochemical basis for the selective anticancer activity of 2-ME. Investigations using two-parameter flow cytometric analyses and ROS scavengers established that O2·− is a primary and essential mediator of 2-ME-induced apoptosis in cancer cells. In addition, experiments using SOD overexpression vectors and SOD knockout cells found that SOD is a critical target of 2-ME. Importantly, the administration of 2-ME resulted in the selective accumulation of O 2·− and apoptosis in leukemia and ovarian cancer cells. The preferential activity of 2-ME was found to be due to increased intrinsic oxidative stress in these cancer cells versus their normal counterparts. This intrinsic oxidative stress was associated with the upregulation of the antioxidant enzymes SOD and catalase as a mechanism to cope with the increase in ROS. Furthermore, oxygen consumption experiments revealed that normal lymphocytes decrease their respiration rate in response to 2-ME-induced oxidative stress, while human leukemia cells seem to lack this regulatory mechanism. This leads to an uncontrolled production of O2·−, severe accumulation of ROS, and ultimately ROS-mediated apoptosis in leukemia cells treated with 2-ME. The biochemical differences between cancer and normal cells identified here provide a basis for the development of drug combination strategies using 2-ME with other ROS-generating agents to enhance anticancer activity. The effectiveness of such a combination strategy in killing cancer cells was demonstrated by the use of 2-ME with agents/modalities such as ionizing radiation and doxorubicin. Collectively, the data presented here strongly suggests that 2-ME may have important clinical implications for the selective killing of cancer cells. ^