This book explores potential cellular drug targets for cancer therapy. The first couple of chapters describe conventional treatment (radiotherapy, chemotherapy, and immunotherapy) & detection (biosensors) strategies for cancer. In contrast, the subsequent chapters address the role of cyclin-dependent kinases and cell cycle regulatory proteins in the growth of cancer cells and their potential as target for cancer treatment. The book then discusses the regulation of various pro-apoptotic and anti-apoptotic proteins via chemotherapeutic drugs. In addition, it examines the molecular mechanisms that are critical for mediating autophagic cell death in cancer cells. It subsequently reviews the role of reactive oxygen (ROS) species during carcinogenesis and during chemotherapy, and the potential of anti-inflammatory routes for the development of new therapeutic modulators. Lastly, it describes therapeutic strategies that target the tumor microenvironment and various angiogenic pathways for the treatment of cancer and to develop personalized medicine. Given its scope, the book is valuable resource for oncologists, cancer researchers, clinicians, and pharmaceutical industry personnel.

This unique volume traces the critically important pathway by which a "molecule" becomes an "anticancer agent. " The recognition following World War I that the administration of toxic chemicals such as nitrogen mustards in a controlled manner could shrink malignant tumor masses for relatively substantial periods of time gave great impetus to the search for molecules that would be lethal to specific cancer cells. Weare still actively engaged in that search today. The question is how to discover these "anticancer" molecules. Anticancer Drug Development Guide: Preclinical Screening, Clinical Trials, and Approval, Second Edition describes the evolution to the present of preclinical screening methods. The National Cancer Institute's high-throughput, in vitro disease-specific screen with 60 or more human tumor cell lines is used to search for molecules with novel mechanisms of action or activity against specific phenotypes. The Human Tumor Colony-Forming Assay (HTCA) uses fresh tumor biopsies as sources of cells that more nearly resemble the human disease. There is no doubt that the greatest successes of traditional chemotherapy have been in the leukemias and lymphomas. Since the earliest widely used in vivo drug screening models were the murine L 1210 and P388 leukemias, the community came to assume that these murine tumor models were appropriate to the discovery of "antileukemia" agents, but that other tumor models would be needed to discover drugs active against solid tumors.

Cancer cell biology research in general, and anti-cancer drug development specifically, still relies on standard cell culture techniques that place the cells in an unnatural environment. As a consequence, growing tumor cells in plastic dishes places a selective pressure that substantially alters their original molecular and phenotypic properties.The emerging field of regenerative medicine has developed bioengineered tissue platforms that can better mimic the structure and cellular heterogeneity of in vivo tissue, and are suitable for tumor bioengineering research. Microengineering technologies have resulted in advanced methods for creating and culturing 3-D human tissue. By encapsulating the respective cell type or combining several cell types to form tissues, these model organs can be viable for longer periods of time and are cultured to develop functional properties similar to native tissues. This approach recapitulates the dynamic role of cell–cell, cell–ECM, and mechanical interactions inside the tumor. Further incorporation of cells representative of the tumor stroma, such as endothelial cells (EC) and tumor fibroblasts, can mimic the in vivo tumor microenvironment. Collectively, bioengineered tumors create an important resource for the in vitro study of tumor growth in 3D including tumor biomechanics and the effects of anti-cancer drugs on 3D tumor tissue. These technologies have the potential to overcome current limitations to genetic and histological tumor classification and development of personalized therapies.

As a guide for pharmaceutical professionals to the issues and practices of drug discovery toxicology, this book integrates and reviews the strategy and application of tools and methods at each step of the drug discovery process. • Guides researchers as to what drug safety experiments are both practical and useful • Covers a variety of key topics – safety lead optimization, in vitro-in vivo translation, organ toxicology, ADME, animal models, biomarkers, and –omics tools • Describes what experiments are possible and useful and offers a view into the future, indicating key areas to watch for new predictive methods • Features contributions from firsthand industry experience, giving readers insight into the strategy and execution of predictive toxicology practices

Providing practical and proven solutions for antibody-drug conjugate (ADC) drug discovery success in oncology, this book helps readers improve the drug safety and therapeutic efficacy of ADCs to kill targeted tumor cells. • Discusses the basics, drug delivery strategies, pharmacology and toxicology, and regulatory approval strategies • Covers the conduct and design of oncology clinical trials and the use of ADCs for tumor imaging • Includes case studies of ADCs in oncology drug development • Features contributions from highly-regarded experts on the frontlines of ADC research and development

Although cancer types vary widely, the number of new cancer drugs each year is severely limited. Even for those cancer therapies which are currently in use, prognostic outcomes vary significantly across cancer types. Drug discovery relies primarily on our knowledge of direct drug targets, but not the systematic off-target effects that these therapies may have. As a result, our knowledge of these drugs is somewhat limited to general mechanistic classes. Within these classes it is hard to find potential patient differences without time-intensive studies and trials. While drug classification relies on our knowledge of direct targets, it does not typically consider how a number of global cellular processes are ultimately affected. Quantifying the mechanistic differences between drugs is a difficult process. Current standards to quantify individual drug efficacy are large-scale measurements are taken at a heterogeneous population level, ignoring the effects of drug action or mechanism in single cells or cell populations. Because our knowledge is limited in this way, we are often surprised to find that similarly classified cancer drugs can have disparate effects in patients. Single-cell technologies including flow cytometry allow us to uncover relationships between drugs through simultaneous measurement of cell signal, cell cycle and cell type for each cell. Recent technological advances in flow cytometry have facilitated new clinical tests to determine cancer subtypes. In addition, these methodological advances have created potential for providing novel insights into drug mechanism and patient response. In this dissertation, I describe a new framework for performing mechanistic profiling of cancer cells. There are two facets of this problem. The first is an understanding of cancer cell cycle. Prior to treating with a drug, it is important to form a general model of how a cancer cell replicates. In a screening methodology, however, this is a difficult problem. I address this problem by building an automated, de novo model of cell cycle. Second, I perform cancer therapeutic profiling by measuring DNA damage, apoptosis, cell cycle, and cell signaling markers across multiple cancer cell types. In this thesis, I combine both cell cycle and drug profiling methods into a new drug profiling framework that can be used to find existing and novel cell cycle and drug-based biology. The results of our current work have major implications for use in profiling aberrant cell types in primary cancer samples, as well as mechanistic drug screening.

Improving and Accelerating Therapeutic Development for Nervous System Disorders is the summary of a workshop convened by the IOM Forum on Neuroscience and Nervous System Disorders to examine opportunities to accelerate early phases of drug development for nervous system drug discovery. Workshop participants discussed challenges in neuroscience research for enabling faster entry of potential treatments into first-in-human trials, explored how new and emerging tools and technologies may improve the efficiency of research, and considered mechanisms to facilitate a more effective and efficient development pipeline. There are several challenges to the current drug development pipeline for nervous system disorders. The fundamental etiology and pathophysiology of many nervous system disorders are unknown and the brain is inaccessible to study, making it difficult to develop accurate models. Patient heterogeneity is high, disease pathology can occur years to decades before becoming clinically apparent, and diagnostic and treatment biomarkers are lacking. In addition, the lack of validated targets, limitations related to the predictive validity of animal models - the extent to which the model predicts clinical efficacy - and regulatory barriers can also impede translation and drug development for nervous system disorders. Improving and Accelerating Therapeutic Development for Nervous System Disorders identifies avenues for moving directly from cellular models to human trials, minimizing the need for animal models to test efficacy, and discusses the potential benefits and risks of such an approach. This report is a timely discussion of opportunities to improve early drug development with a focus toward preclinical trials.