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The number of males diagnosed with prostate cancer (PCa) is increasing all over the world. Most patients with early-stage PCa can be treated with appropriate therapy, such as radical prostatectomy or irradiation. On the other hand, androgen deprivation therapy (ADT) is the standard systemic therapy given to patients with advanced PCa. ADT induces temporary remission, but the majority of patients (approximately 60%) eventually progress to castration-resistant prostate cancer (CRPC), which is associated with a high mortality rate. Generally, well-differentiated PCa cells are androgen dependent, i.e., androgen receptor (AR) signalling regulates cell cycle and differentiation. The loss of AR signalling after ADT triggers androgen-independent outgrowth, generating poorly differentiated, uncontrollable PCa cells. Once PCa cells lose their sensitivity to ADT, effective therapies are limited. In the last few years, however, several new options for the treatment of CRPC have been approved, e.g., the CYP17 inhibitor, the AR antagonist, and the taxane. Despite this progress in the development of new drugs, there is a high medical need for optimizing the sequence and combination of approved drugs. Thus, the identification of predictive biomarkers may help in the context of personalized medicine to guide treatment decisions, improve clinical outcomes, and prevent unnecessary side effects. In this Special Issue Book, we focused on the cytobiology of human PCa cells and its clinical applications to develop a major step towards personalized medicine matched to the individual needs of patients with early-stage and advanced PCa and CRPC. We hope that this Special Issue Book attracts the attention of readers with expertise and interest in the cytobiology of PCa cells.

Medicine --- androgen receptor --- docetaxel --- cabazitaxel --- castration-resistant prostate cancer --- chemotherapy --- P-glycoprotein --- EPI-002 --- splice variant --- prostate-specific antigen --- androgen deprivation therapy --- time to PSA nadir --- fibroblasts --- prostate cancer --- androgen sensitivity --- pirfenidone --- TGFβ1 --- G1 cell cycle arrest --- fibroblast growth factor --- fibroblast growth factor receptor --- obesity --- inflammation --- immune cells --- cytokine --- high-fat diet --- KIFC1 --- docetaxel resistance --- apoptosis --- CW069 --- Caveolin-1 --- TP53-regulated inhibitor of apoptosis 1 --- tumour stroma --- tumour microenvironment --- fibroblast --- CAF --- resistance --- radiotherapy --- CCL2 --- CCL22 --- CCL5 --- migration --- LSD1 --- epigenetics --- autophagy --- abiraterone --- enzalutamide --- testosterone --- castration resistant prostate cancer --- animal model --- diet --- fat --- in vitro --- in vivo --- mouse --- AKR1C3 --- hormone-naïve prostate cancer --- immunohistochemistry --- tissue microarray --- androgen receptor dependency --- fibroblast-dependent androgen receptor activation

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The book highlights important aspects of Molecular Psychiatry, including molecular mechanisms, animal models, biomarkers, advanced methods, drugs and antidepressant response, as well as genetics and epigenetics. Molecular mechanisms are a vital part of the search for the biological basis of psychiatric disorders, providing molecular hints that can later be tested as biomarkers or targets for drug development. Animal models represent a commonly used approach to aid in this bench-to-bed translation; the examples here are social defeat stress and the Roman High-Avoidance (RHA) and the Roman Low-Avoidance (RLA) rats. For biomarkers, psychiatric disorders pose a particular challenge due to the tissue specificity of many currently investigated biomarkers; i.e., not all blood-based measures directly represent changes in the brain. The Ebook includes five articles focused on the challenges of identifying clinically and biologically relevant biomarkers for psychiatric disorders. Scientific progress typically is fostered by the development of new methods. The application of machine learning methods for the proper analysis of Big Data and induced pluripotent stem cells are examples outlined in this Ebook. Furthermore, three articles are devoted to the understanding of the mechanisms of actions of existing drugs with the ultimate goal of identifying ways to predict treatment response in patients. Finally, three articles deepen the insight into the genetics and epigenetics of psychiatric disorders.

cardiovascular disease --- cell adhesion molecules --- immunology --- inflammation --- nervous system --- schizophrenia --- bipolar disorder --- major depressive disorder --- DNA methylation --- response variability --- antipsychotics --- drug design --- multi-target drugs --- polypharmacology --- multi-task learning --- machine learning --- biomarker discovery --- psychiatry --- serotonin --- 5-HT 4 receptor --- 5-HT4R --- depression --- mood disorder --- expression --- Alzheimer’s disease --- cognition --- Parkinson’s disease --- forced swimming --- Roman rat lines --- stress --- hippocampus --- BDNF --- trkB --- PSA-NCAM --- western blot --- immunohistochemistry --- general cognitive function --- intelligence --- GWAS --- genetic correlation --- childhood-onset schizophrenia (COS) --- induced pluripotent stem cell (iPSC) --- copy number variation (CNV) --- early neurodevelopment --- neuronal differentiation --- synapse --- dendritic arborization --- miRNAs --- stress physiology --- cytoskeleton --- actin dynamics --- DRR1 --- TU3A --- FAM107A --- acid sphingomyelinase --- alcohol dependence --- liver enzymes --- sphingolipid metabolism --- withdrawal --- Hsp90 --- GR --- stress response --- steroid hormones --- molecular chaperones --- psychiatric disease --- circadian rhythms --- FKBP51 --- FKBP52 --- CyP40 --- PP5 --- DISC1 --- neurodevelopment --- CRMP-2 --- proteomics --- antidepressant treatment --- HPA axis --- gene expression --- FKBP5 --- sleep --- sleep EEG --- biomarkers --- antidepressants --- cordance --- gender --- sex difference --- antidepressant --- rapid-acting --- Ketamine --- endocrinology --- (2R,6R)-Hydroxynorketamine --- electroconvulsive therapy --- basic-helix-loop-helix --- brain --- coactivator --- glucocorticoids --- mineralocorticoid receptor knockout --- transcription biology --- dopaminergic gene polymorphisms --- affective temperament --- obesity --- alpha-synuclein --- SNCA --- major depression --- Hamilton Scale of Depression --- chemokines --- neuroinflammation --- social defeat --- Immune response --- T cells --- susceptibility --- resilience --- Treg cells --- Th17 cells --- behavior --- PPARγ --- n/a --- Alzheimer's disease --- Parkinson's disease