Current Medicinal Chemistry - Volume 25, Issue 29, 2018

Breast cancer is the most common cancer in women, which incidence has increased in recent years. It is constituted by very heterogeneous tissue characterized by an abnormal microenvironment regulating tumor progression and providing evasion from cancer therapies. Breast cancer-associated fibroblasts (BCAFs) are the main cell type of breast cancer microenvironment and can represent up to 80% of the tumor mass. In particular, BCAFs induce cancer initiation, proliferation, invasion and metastasis by undergoing an activation process associated with the secretion of growth factors, cytokines, and paracrine interactions. Therapy resistance is the main cause of poor therapeutic results or even failure in breast cancer patients. Despite recent advances in breast cancer management, there is a need for new prognostic markers and novel agents for targeting key signalling pathways to either improve the efficacy of the current therapies, or reduce toxicity. In this view, BCAFs represent markers useful to clinical diagnosis, therapy, and prognosis of breast cancer. This review focuses on the role of BCAFs in cancer, and describes the processes of endocrine/chemotherapy resistance linked to BCAFs action. Moreover, it points to molecules and pathways regulating therapy resistance induced by BCAFs. Finally, potential therapeutic strategies targeting BCAFs and offering new tools in breast cancer therapy are highlighted.

Oxidative/nitrative damage is a crucial element among the complex factors that contribute to lung carcinogenesis. Nitric oxide (NO) free radicals, through chemical modifications such as tyrosine nitration, are significantly involved in lung carcinogenesis and metastasis. NO-mediated protein nitration, which is the addition of the nitro group (–NO2) to position 3 of the phenolic ring of a tyrosine residue, is an important molecular event in lung cancer, and has been studied with mass spectrometry. Nitration is involved in multiple biological processes, including signal transduction, protein degradation, energy metabolism, mitochondrial dysfunction, enzyme inactivation, immunogenic response, apoptosis, and cell death. This article reviews the relationship of NO and its derivates and lung cancer, formation and roles of tyrosine nitration in lung cancer, differences of protein nitration between lung cancer and other inflammatory pulmonary diseases, current status of protein nitration and nitroproteomics in lung cancer, and future perspectives to achieve a better understanding of lung carcinogenesis, for biomarker discovery; and for new diagnostic and prognostic monitoring, and therapeutic targets.

Background: The phosphodiesterase 10 (PDE10) family, identified in 1999, is mainly expressed in the brain, particularly in the striatum, within the medium spiny neurons, nucleus accumbens, and olfactory tubercle. Inhibitors of PDE10 (PDE10-Is) are a conceptually rational subject for medicinal chemistry with potential use in the treatment of psychiatric and neurodegenerative diseases. Objective: This review is based on peer-reviewed published articles, and summarizes the cellular and molecular biology of PDE10 as a rational target for psychiatric and neurodegenerative drug discovery. Here, we present the classification of PDE10-Is from a medicinal chemistry point of view across a wide range of different, drug-like chemotypes starting from theophylline and caffeine analogs, papaverine and dimethoxy catechol type PDE10-Is, TP-10, MP-10, MP-10/papaverine/quinazoline series inhibitors, and ending with the newest inhibitors obtained from fragment-based lead discovery (FBLD). The authors have collated recent research on inhibition of PDE10A as a promising therapeutic strategy for psychiatric and neurodegenerative diseases, based on its efficacy in animal models of schizophrenia, Parkinson's, Huntington's, and Alzheimer's diseases. This review also presents pharmacological data on PDE10-Is as possible therapeutics for the treatment of cognitive deficits, obesity and depression. Moreover, it summarizes the current strategies for PDE10-Is drug discovery based on the results of clinical trials. The authors also present the latest studies on crystal structures of PDE10 complexes with novel inhibitors.

Background: Why an autoimmune disease that is the main cause of the acute neuromuscular paralysis worldwide does not have a well-characterized cause or an effective treatment yet? The existence of different clinical variants for the Guillain-Barré syndrome (GBS) coupled with the fact that a high number of pathogens can cause an infection that sometimes, but not always, precedes the development of the syndrome, confers a high degree of uncertainty for both prognosis and treatment. In the post-genomic era, the development of omics technologies for the high-throughput analysis of biological molecules is allowing the characterization of biological systems in a degree of depth unimaginable before. In this context, this work summarizes the application of post-genomics technologies to the study of GBS. Methods: We performed a structured search of bibliographic databases for peer-reviewed research literature to outline the state of the art with regard the application of post-genomics technologies to the study of GBS. The quality of retrieved papers was assessed using standard tools and thirty-four were included in the review. To date, transcriptomics and proteomics have been the unique post-genomics approaches applied to GBS study. Most of these studies have been performed on cerebrospinal fluid samples and only a few studies have been conducted with other samples such as serum, Schwann cells and human peripheral nerve. Results and Conclusion: In the post-genomics era, transcriptomics and proteomics have shown the possibilities that omics technologies can offer for a better understanding of the immunological and pathological mechanisms involved in GBS and the identification of potential biomarkers, but these results have only shown the tip of the iceberg and there is still a long way to exploit the full potential that post-genomics approaches could offer to the study of the GBS. The integration of different omics datasets through a systems biology approach could allow network-based analyses to describe the complexity and functionality of the molecular mechanisms involved in the course of disease facilitating the discovery of novel biomarkers that could be used to improve the diagnosis, predict the disease progression, improve our understanding of the pathology, and serve as therapeutic targets for GBS.

Alzheimer's disease (AD) is a progressive multifactorial neurodegenerative disorder. Currently, no effective treatment is available and this is due to multiple factors involved in pathophysiology and severity of AD. A recent approach for the rational design of new drug candidates, also called multitarget-directed ligands (MTDL) strategy, has been used to develop a variety of hybrid compounds capable to act simultaneously in diverse biological targets. The discovery of drug candidates capable of targeting multiple factors involved in AD pathogenesis would greatly facilitate in improving therapeutic strategies. This review is a complement to another review article, recently published by our group, which covered the previous period of 2005-2012, and highlights recent advances and examples of the exploitation of MTDLs approach in the rational design of novel drug candidate prototypes for the treatment of AD.

Various techniques for rational drug design are presented in the paper. The methods are based on a substitution of antipharmacophore atoms of the molecules of training dataset by new atoms and/or group of atoms increasing the atomic bioactivity increments obtained from an SAR study. Furthermore, a design methodology based on the genetic algorithm DesPot for discrete optimization and generation of new drug candidate structures is described. Additionally, wide spectra of SAR approaches (3D/4D QSAR interior and exterior-based methods – BiS, CiS, ConGO, CoMIn, high-quality docking method - ReDock) using MERA force field and/or AlteQ quantum chemical method for correct prognosis of bioactivity and the bioactive probability have been described. The design methods are implemented at www.chemosophia.com web-site for online computational services.