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The major histocompatibility complex (MHC) is a highly polymorphic and diverse multigene locus in all jawed vertebrate species that has an integral role in adaptive/innate immune systems, transplantation, and infectious and autoimmune diseases. The MHC supra-locus in mammalian vertebrates is usually partitioned into three distinct regions, known as classes I, II, and III, which, to varying extents, can be found conserved in nonmammalian jawed vertebrates, such as bony fish, amphibians, and bird lineages. The MHC gene region is characterized particularly by the expression of class I and class II glycoproteins that bind peptides derived from intracellular or extracellular antigens to circulating T-cells. While this expressed antigenic specificity remains the predominant interest with respect to MHC function and polymorphism in a population, a broader concept has emerged that examines the MHC as a multifunctional polymorphic controller that facilitates and regulates genome diversity with a much greater array of functions and effects than just MHC-restricted antigen recognition. This volume of 19 reprints presented by various experts and collected from the Special Issue of Cells on "MHC in Health and Disease" covers a broad range of topics on the genomic diversity of the MHC regulatory system in various vertebrate species, including MHC class I, II, and III genes; innate and adaptive immunity; neurology; transplantation; haplotypes; infectious and autoimmune diseases; fecundity; conservation; allelic lineages; and evolution. Taken together, these articles demonstrate the immense complexity and diversity of the MHC structure and function within and between different vertebrate species.
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This book is a concise review of medically important applications of Human Leukocyte Antigen (HLA) in medicine. It covers both basic knowledge of HLA and its main clinical applications in medical practice. Its two major aims are to assist students who are preparing for clinical immunology examinations, and to help people who want to understand more about this subject with brief and flexible sources of information. This book presents current, medically important information on the rapidly changing field of tissue typing and its relation with diseases. It includes updated information on such topics as tissue typing in medicine and transplant immunology.
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Biomarkers are of critical medical importance for oncologists, allowing them to predict and detect disease and to determine the best course of action for cancer patient care. Prognostic markers are used to evaluate a patient’s outcome and cancer recurrence probability after initial interventions such as surgery or drug treatments and, hence, to select follow-up and further treatment strategies. On the other hand, predictive markers are increasingly being used to evaluate the probability of benefit from clinical intervention(s), driving personalized medicine. Evolving technologies and the increasing availability of “multiomics” data are leading to the selection of numerous potential biomarkers, based on DNA, RNA, miRNA, protein, and metabolic alterations within cancer cells or tumor microenvironment, that may be combined with clinical and pathological data to greatly improve the prediction of both cancer progression and therapeutic treatment responses. However, in recent years, few biomarkers have progressed from discovery to become validated tools to be used in clinical practice. This Special Issue comprises eight review articles and five original studies on novel potential prognostic and predictive markers for different cancer types.
MSI2 --- OSCC --- oral cancer --- musashi 2 --- prognosis --- N-cadherin --- EMT --- breast cancer --- new metastasis --- eribulin --- blood --- biomarker --- bladder cancer --- immune checkpoint inhibitor --- CD8+ T effector cells --- microRNA --- biomarkers --- head and neck cancer --- laryngeal cancer --- prediction --- metastasis --- lifestyle habit --- chemo-/radio resistance --- therapeutic target --- AKT --- AR --- castration-resistant prostate cancer (CRPC) --- MAPK --- mTOR --- PI3K --- prostate cancer --- therapeutic resistance --- WNT --- miRNA --- melanoma --- melanoma resistance to MAPK/MEK inhibitors --- resistance to immune checkpoint inhibitors --- TNBC --- BRCA1/2 --- HRR --- PDL1 --- TILs --- PI3KCA --- PTEN --- CTCs --- CSC --- pancreatic cancer --- K-RAS oncogene --- oncogene dependency --- targeted therapies --- genomic mutations --- transcriptomics --- metabolomics --- selenoproteins --- cancer --- HUB nodes --- major histocompatibility complex (MHC) --- human leukocyte antigen (HLA) --- antigen processing machinery (APM) molecules --- carcinogenesis --- tumor predisposition --- cancer immunotherapy --- pheochromocytoma --- paraganglioma --- head and neck neoplasms --- head and neck tumors --- genetic syndromes --- mutations --- hyperglycemia --- cardioncology --- nivolumab --- cytokines --- cardiotoxicity --- acetyltransferase --- cancer prognosis --- NAA10 --- n/a
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Since first receiving approval in 1986, antibody-based therapeutics have been the most successful modality for the treatment of various diseases. This Special Issue of IJMS, “Recent Advances in Antibody Therapeutics”, presents leading-edge articles and reviews for discovery, development, and clinical applications of therapeutic antibodies, covering antibody drug conjugates (ADCs), GPCR-targeting antibodies, a functional antibody screening, bioassay of bispecific antibodies, antibody applications for cardiovascular diseases, antibody delivery to CNS, etc. The excellent studies in this Special Issue would valuable insight for scientists and clinicians in the field of therapeutic antibodies
interleukin 33 --- ST2 receptor --- scFv --- C2_2E12 --- bladder cancer --- antibodies --- immune checkpoint inhibitors --- antibody-drug conjugates --- sacituzumab govitecan --- enfortumab vedotin --- erdafitinib --- cost-effectiveness --- G protein-coupled receptor --- membrane protein --- antigen --- therapeutic antibody --- anti-angiogenesis --- delta-like ligand --- irinotecan --- paclitaxel --- VEGF --- SARS-CoV-2 --- spike protein --- receptor-binding domain --- phage display --- monoclonal antibody --- cytomegalovirus --- peptide/major histocompatibility complex class I complex --- T-cell-receptor-like antibody --- affinity maturation --- yeast surface display --- combinatorial antibody library --- agonist antibody --- cell fate --- bispecific antibodies --- bioassays --- mechanisms of action --- binding assays --- potency assays --- atherosclerosis --- inflammation --- antibody therapy --- blood–brain barrier --- antibody --- pharmacokinetics --- disposition --- biochemical and physicochemical properties --- Fc binding --- receptor-mediated transcytosis --- brain shuttle --- molecular Trojan horse --- transferrin --- anti-cancer antibody --- antibody engineering --- biophysical properties --- computational methods --- research cell bank --- antibody therapeutics --- recombinant antibodies --- intracellular antibodies --- single-chain antibody fragment --- nanobody --- Human papillomaviruses --- HPV oncoproteins --- HPV-associated cancer --- HPV cancer therapy --- asthma --- refractory asthma --- biomarker --- n/a --- blood-brain barrier
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Cancer is a leading cause of death worldwide, claiming millions of lives each year. Cancer biology is an essential research field to understand how cancer develops, evolves, and responds to therapy. By taking advantage of a series of “omics” technologies (e.g., genomics, transcriptomics, and epigenomics), computational methods in bioinformatics and machine learning can help scientists and researchers to decipher the complexity of cancer heterogeneity, tumorigenesis, and anticancer drug discovery. Particularly, bioinformatics enables the systematic interrogation and analysis of cancer from various perspectives, including genetics, epigenetics, signaling networks, cellular behavior, clinical manifestation, and epidemiology. Moreover, thanks to the influx of next-generation sequencing (NGS) data in the postgenomic era and multiple landmark cancer-focused projects, such as The Cancer Genome Atlas (TCGA) and Clinical Proteomic Tumor Analysis Consortium (CPTAC), machine learning has a uniquely advantageous role in boosting data-driven cancer research and unraveling novel methods for the prognosis, prediction, and treatment of cancer.
tumor mutational burden --- DNA damage repair genes --- immunotherapy --- biomarker --- biomedical informatics --- breast cancer --- estrogen receptor alpha --- persistent organic pollutants --- drug-drug interaction networks --- molecular docking --- NGS --- ctDNA --- VAF --- liquid biopsy --- filtering --- variant calling --- DEGs --- diagnosis --- ovarian cancer --- PUS7 --- RMGs --- CPA4 --- bladder urothelial carcinoma --- immune cells --- T cell exhaustion --- checkpoint --- architectural distortion --- image processing --- depth-wise convolutional neural network --- mammography --- bladder cancer --- Annexin family --- survival analysis --- prognostic signature --- therapeutic target --- R Shiny application --- RNA-seq --- proteomics --- multi-omics analysis --- T-cell acute lymphoblastic leukemia --- CCLE --- sitagliptin --- thyroid cancer (THCA) --- papillary thyroid cancer (PTCa) --- thyroidectomy --- metastasis --- drug resistance --- n/a --- biomarker identification --- transcriptomics --- machine learning --- prediction --- variable selection --- major histocompatibility complex --- bidirectional long short-term memory neural network --- deep learning --- cancer --- incidence --- mortality --- modeling --- forecasting --- Google Trends --- Romania --- ARIMA --- TBATS --- NNAR
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The analysis of circulating tumor cells (CTCs) as a real-time liquid biopsy approach can be used to obtain new insights into metastasis biology, and as companion diagnostics to improve the stratification of therapies and to obtain insights into the therapy-induced selection of cancer cells. In this book, we will cover all the different facets of CTCs to assemble a huge corpus of knowledge on cancer dissemination: technologies for their enrichment, detection, and characterization; their analysis at the single-cell level; their journey as CTC microemboli; their clinical relevance; their biology with the epithelial-to-mesenchymal transition (EMT); their stem-cell properties; their potential to initiate metastasis at distant sites; their ex vivo expansion; and their escape from the immune system.
n/a --- FOLFIRINOX --- immunofluorescence imaging --- AR-V7 --- circulating tumour cells --- chemoradioresistance --- CTC-based treatment decisions --- rVAR2 --- immunophenotyping --- immune system --- CellSearch® --- flow cytometry --- clinical trials --- circulating tumor DNA --- synaptophysin --- stem cells --- colorectal cancer --- melanoma --- CTC biology --- platelets --- AR --- CTC capture technology --- castration resistant prostate cancer (CRPC) --- PD-L1 expression --- rovalpituzumab tesirine --- HMB-45 --- thymidylate synthase --- ctDNA --- tumor cell dissemination --- solid cancers --- metastasis --- locally advanced rectal cancer --- miRNA --- epithelial-to-mesenchymal transition (EMT) --- NSCLC --- tumor biomarkers --- tumor stem cells --- circulating tumor cells --- major histocompatibility complex class I (MHCI) --- bone marrow --- heterogeneity --- cerebrospinal liquid biopsy --- fish --- glioma --- in vivo flow cytometry --- colorectal surgery --- CellSearch --- single-cell analysis --- disseminated tumor cells --- EasyCount slides --- microsatellite instability --- circulating plasma cells --- circulating leukemia cells --- ARV7 --- SLUG --- androgen receptor --- metastatic colorectal cancer --- leukocyte-derived extracellular vesicles --- prostate cancer (PCa) --- neutrophils --- liquid biopsy --- enzalutamide --- CD133 --- enrichment and detection technologies --- biomarkers --- immune checkpoint inhibitors --- biomarker --- RAD23B --- microbiome --- integrin B1 --- ACCEPT --- emboli --- small-cell lung carcinoma --- EPISPOT --- microfluidics --- early breast cancer --- circulating tumor cells (CTC) --- tumor-initiating cells (TICs) --- immunomodulation --- xenograft models --- CTC-derived xenografts --- malaria --- circulating tumor cells (CTCs) --- clinical utility --- exosomes --- liquid surgery --- ctRNA --- CTCs --- epithelial–mesenchymal transition --- targeted therapy --- hematological cells --- gene expression analysis --- hepatocellular carcinoma (HCC) --- breast cancer --- EpCAM enrichment --- prostate cancer --- CTC --- abiraterone --- fibronectin --- CTC-derived ex vivo models --- CTMat --- chromogranin A --- CTM --- exosome --- epithelial-mesenchymal transition
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