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Current Knowledge in Thyroid Cancer — From Bench to Bedside

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ISBN: 9783038424765 9783038424772 Year: Pages: VIII, 212 DOI: 10.3390/books978-3-03842-477-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Biology
Added to DOAB on : 2017-08-11 11:32:17
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In recent years, studies in the field of thyroid cancer have been performed in order to identify and verify thyroid specific biomarkers, as well as cancer-specific changes in gene expression patterns and alterations of the protein content. Furthermore, new drugs, small molecules and antibodies were developed and tested in vitro and in vivo. Trials investigated the ratio between therapeutic and adverse effects. Tyrosine kinase inhibitors (TKI) have become a new therapeutic option of both differentiated thyroid cancer and medullary thyroid cancer. In the last few years, new substances for targeted systemic therapy have been approved after their efficacy was demonstrated in Phase III trials. Most of them show a moderate response. However, adverse effects are common. TKI are used in patients with advanced metastatic thyroid cancer that is radioiodine (RAI)-refractory.In this Special Issue, original studies on the pathophysiology, diagnosis, and therapy of thyroid cancer, including genetics, proteomics, metabolomics, molecular and cell biology, will be published. It will also cover reports on patients, providing novel mechanistic insights into the underlying pathogenesis or new aspects that may impact clinical therapy, and recent study results in order to review the current status of new therapy options in thyroid cancer.

Natural Compounds as New Cancer Treatments

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ISBN: 9783039213658 9783039213665 Year: Pages: 128 DOI: 10.3390/books978-3-03921-366-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General)
Added to DOAB on : 2019-12-09 11:49:15
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Cancer remains one of the main causes of morbidity and mortality worldwide. Although many pharmacological and clinical advances have been made, there is a constant need for new molecules to improve the overall options for treatment. Natural compounds from animal, microbial, vegetal, or fungal origin represent countless sources of new compounds that can be used as anticancer drugs, provided their activity, bioavailability, and toxicity are adequate. This book aims to compile both original articles and reviews that cover the most recent advances in the use of natural compounds for cancer treatment, and provide new objectives and advice for future research in the field of biological activity of natural compounds.

Dynamical Models of Biology and Medicine

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ISBN: 9783039212170 9783039212187 Year: Pages: 294 DOI: 10.3390/books978-3-03921-218-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology
Added to DOAB on : 2019-12-09 11:49:15
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Mathematical and computational modeling approaches in biological and medical research are experiencing rapid growth globally. This Special Issue Book intends to scratch the surface of this exciting phenomenon. The subject areas covered involve general mathematical methods and their applications in biology and medicine, with an emphasis on work related to mathematical and computational modeling of the complex dynamics observed in biological and medical research. Fourteen rigorously reviewed papers were included in this Special Issue. These papers cover several timely topics relating to classical population biology, fundamental biology, and modern medicine. While the authors of these papers dealt with very different modeling questions, they were all motivated by specific applications in biology and medicine and employed innovative mathematical and computational methods to study the complex dynamics of their models. We hope that these papers detail case studies that will inspire many additional mathematical modeling efforts in biology and medicine

Keywords

hemodynamic model --- microcirculation load --- liquid-solid-porous media seepage coupling --- 2-combination --- graphical representation --- cell-based vector --- numerical characterization --- phylogenetic analysis --- intraguild predation --- random perturbations --- persistence --- stationary distribution --- global asymptotic stability --- quorum sensing --- chemostat --- mathematical model --- differential equations --- delay --- bifurcations --- dynamical system --- numerical simulation --- predator-prey model --- switched harvest --- limit cycle --- rich dynamics --- algae growth models --- uncertainty quantification --- asymptotic theory --- bootstrapping --- model comparison tests --- Raphidocelis subcapitata --- Daphnia magna --- spotting --- wildfire --- transport equations --- spotting distribution --- obesity --- mechano-electrochemical model --- articular cartilage --- cartilage degeneration --- cartilage loading --- optimal control --- hepatitis B --- delay differential equations (DDE) --- immune response --- drug therapy --- dynamic model --- flocculation --- global stability --- uniform persistence --- epidermis --- mathematical model --- bacterial inflammation --- bacterial competition --- chronic myeloid leukemia --- tyrosine kinase inhibitors --- immunomodulatory therapies --- combination therapy --- equilibrium points --- mathematical modeling --- prostate cancer --- androgen deprivation therapy --- data fitting --- generalized pseudo amino acid composition --- numerical characterization --- phylogenetic analysis --- identification of DNA-binding proteins --- n/a

Renal Cell Carcinoma

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ISBN: 9783039286386 / 9783039286393 Year: Pages: 500 DOI: 10.3390/books978-3-03928-639-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology
Added to DOAB on : 2020-06-09 16:38:57
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Renal cancer is a health problem of major concern worldwide. Although tyrosine kinase inhibitors and immune check-point blockade treatments, alone or in combination, are giving promising results, failures are quite frequent due to intratumor heterogeneity and to the acquisition of drug resistance. The spectrum of renal cell carcinoma subtypes is wide. Up to 70–80% of renal tumors are clear cell renal cell carcinomas, a clinically aggressive tumor subtype linked to VHL gene inactivation. Next in frequency, the papillary renal cell carcinoma category encompasses an intricate puzzle of classic and newly described entities with poorly defined limits, some of them pending definite clarification. Likewise, the chromophobe–oncocytoma duality, the so-called hybrid tumors and oncocytic neoplasms, remain to be well profiled. Finally, a growing list of very uncommon renal tumors linked to specific molecular signatures fulfill the current portrait of renal cell neoplasia. This Special Issue of Cancers regards RCC from very different perspectives, from the intimate basic mechanisms governing this disease to the clinical practice principles of their diagnoses and treatments. The interested reader will have the opportunity to contact with some of the most recent findings and will be updated with excellent reviews.

Keywords

ghrelin --- aurora A --- MMP10 --- invasion --- sarcomatoid --- RCC --- immunotherapy --- checkpoint inhibitors --- survival --- PD-L1 --- chronic kidney disease --- nephrectomy --- overall survival --- recurrence free survival --- renal cell carcinoma --- statins --- uric acid --- intratumour heterogeneity --- metastatic ccRCC --- copy number alteration --- mutation --- gene expression --- MiT family translocation renal cell carcinoma --- Xp11 translocation renal cell carcinoma --- t(6 --- 11) translocation renal cell carcinoma --- FISH --- TFE3 --- TFEB --- TFEB-amplified renal cell carcinoma --- renal cell carcinoma --- immune checkpoint inhibitors --- tyrosine kinase inhibitors --- efficacy --- toxicity --- cytoreductive nephrectomy --- Papillary renal cell carcinoma (pRCC) --- proteome profiling --- metabolome profiling --- glutathione metabolism --- metabolic reprogramming --- IL4R? --- IL13R?1 --- renal cell carcinoma --- JAK2 --- FOXO3 --- clear cell renal cell carcinoma --- identification of circular RNAs --- experimental validation of circular RNA --- diagnostic and prognostic markers --- circular RNAs in a clinico-genomic predictive model --- cancer-specific survival --- recurrence-free survival --- overall survival --- chromophobe renal cell carcinoma --- pale cell --- eosinophilic variant --- chromosomal loss --- copy number analysis --- renal cell carcinoma --- clear cell renal cell carcinoma --- AMP-activated protein kinases --- immunohistochemistry --- prognosis --- SMAD proteins --- transforming growth factor beta --- renal cell cancer --- microRNA --- metabolome --- proliferation --- PPP --- pentose phosphate pathway --- TCA cycle --- miR-155-5p --- miR-146a-5p --- TCGA --- renal cell carcinoma --- metastasis --- MTA2 --- MMP-9 --- miR-133b --- kidney cancer --- immunotherapy --- renal cell --- inflammation markers --- programmed death-ligand 1 --- immune checkpoint inhibitors --- prognostic factors --- predictive factors --- glutathione transferase omega 1 --- glutathione transferase omega 2 --- polymorphism --- PI3K/Akt/mTOR --- Raf/MEK/ERK --- IL-1? --- pro-IL-1? --- gene signature --- renal cancer --- survival prediction --- polybromo-1 --- PBRM1 --- renal cell carcinoma --- biomarker --- prognosis --- predictive role --- collecting duct carcinoma --- RNA sequencing --- solute carrier proteins --- kidney --- renal cell carcinoma --- molecular genetic features --- practical approach --- review --- renal cell carcinoma --- sarcomatoid --- immunotherapy --- renal cell carcinoma --- checkpoint inhibitors --- VEGF inhibitors --- mTOR inhibitors --- kidney --- emerging entity --- new entity --- oncocytic renal tumor --- unclassified renal cell carcinoma --- unclassified renal tumor --- anaplastic lymphoma kinase rearrangement --- ALK --- ESC --- HOT --- LOT --- drug sensitivity --- immune infiltration --- renal cancer --- targeted therapy --- tumor slice culture --- clear cell Renal Cell Carcinoma --- urine --- glycoproteomics --- N-glycomapping --- label-free --- glycomarkers --- everolimus --- EVI1 --- genetic association --- mTOR --- clear cell renal cell carcinoma --- curcumin --- renal cell cancer --- tumor adhesion --- tumor migration --- integrins --- NK cells --- kidney cancer --- renal cell carcinoma --- IL-2 --- cancer immunotherapy --- tumor microenvironment --- von Hippel–Lindau --- EMT like --- hyperosmolality --- chromophobe renal cell carcinoma --- copy number loss --- CDKN1A expression --- patient survival --- prognosis --- n/a

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english (3)

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2020 (1)

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