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Cross Talk between Lymph Node Lymphatic Endothelial Cells and T Cells in Inflammation and Cancer

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889453511 Year: Pages: 100 DOI: 10.3389/978-2-88945-351-1 Language: English
Publisher: Frontiers Media SA
Subject: Medicine (General) --- Allergy and Immunology
Added to DOAB on : 2018-02-27 16:16:45
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Abstract

Lymphocytes constantly survey the lymph nodes in search for potential infection by a pathogen. They enter the afferent lymphatic vessel that serves as a conduit to transport the motile lymphocytes to the draining lymph node. Lymphatic vessels (LVs) are present in most vascularized tissues. They are traditionally regarded as passive conduits for soluble antigens and leukocytes. Afferent LVs begin as blind ended capillaries, which give rise to collecting vessels that merge and connect with draining lymph nodes (dLNs). Initial lymphatic capillaries are composed of Lymphatic Endothelial Cells (LECs) connected by discontinuous cell junctions, which join to form larger collecting lymphatic vessels, and ultimately feed into the LN subcapsular sinus. Within the LN, LECs are localized to the subcapsular, cortical, and medullary sinuses, where they interact with incoming and exiting leukocytes. LECs, and in general LN stromal cells, have emerged in the recent years as active players in the immune response. In support to this,studies have shown that the immune response generated during inflammation and under pathologic conditions is accompanied by modeling of the LVs and generation of new lymphatics, a process known as lymphangiogenesis. These facts strongly suggest that LECs and stromal LN cells in general, are not inert players but rather are part of the immune response by organizing immune cells movement, exchanging information and supplying survival factors. The purpose of this research topic is to review the role of the LECs during immune homeostasis and cancer. Considering the critical role of lymphangiogenesis in many pathologies like chronic and acute inflammation, autoimmunity, wound healing, graft rejection, and tumor metastasis, it is important to understand the molecular mechanisms that govern the cross talks between the LECs and immune cells during homeostasis and inflammation.

Pleiotropic Action of Selenium in the Prevention and Treatment of Cancer, and Related Diseases

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ISBN: 9783038976929 Year: Pages: 166 DOI: 10.3390/books978-3-03897-693-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Biology --- Science (General)
Added to DOAB on : 2019-04-05 11:07:22
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This book will cover topics related to the preparation and use of heterogeneous catalytic systems for the transformation of renewable sources, as well as of materials deriving from agro-industrial wastes and by-products. At the same time, the ever-increasing importance of bioproducts, due to the acceptance and request of consumers, makes the upgrade of biomass into chemicals and materials not only an environmental issue, but also an economical advantage.

Towards New Promising Discoveries for Lung Cancer Patients: A Selection of Papers from the First Joint Meeting on Lung Cancer of the FHU OncoAge (Nice, France) and the MD Anderson Cancer Center (Houston, TX, USA)

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ISBN: 9783039214518 9783039214525 Year: Pages: 230 DOI: 10.3390/books978-3-03921-452-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Oncology
Added to DOAB on : 2019-12-09 11:49:15
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This Special Issue of Cancers (Basel) is mainly dedicated to selecting papers from the talks given during the first Joint Meeting on Lung Cancer (JMLC) between the MD Anderson Cancer Center (Houston, Texas USA) and the Hospital University Federation (HUF) OncoAge (University Côte d’Azur, Nice, France) (Nice, September 2018). The central theme of JMLC is to discuss new advances and exchange ideas regarding lung cancer. Notably, the talks covered different topics on new therapeutic strategies (targeted therapy and immuno-oncology), molecular and cellular biology, biomarkers, and the epidemiology of lung cancer. Special attention was also given to lung cancer in elderly patients. The articles published in this Special Issue covered subjects such as the assessment of new biomarkers and new approaches for the early detection of lung cancer, epidemiological data, and emphasized a place for the newly characterized cellular pathways in lung cancer, which opens room for therapeutic perspectives for lung cancer patients.

Application of Bioinformatics in Cancers

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ISBN: 9783039217885 9783039217892 Year: Pages: 418 DOI: 10.3390/books978-3-03921-789-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Biotechnology
Added to DOAB on : 2019-12-09 11:49:16
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This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible.

Keywords

comorbidity score --- mortality --- locoregionally advanced --- HNSCC --- curative surgery --- traditional Chinese medicine --- health strengthening herb --- cancer treatment --- network pharmacology --- network target --- high-throughput analysis --- brain metastases --- colorectal cancer --- KRAS mutation --- PD-L1 --- tumor infiltrating lymphocytes --- drug resistance --- gefitinib --- erlotinib --- biostatistics --- bioinformatics --- Bufadienolide-like chemicals --- molecular mechanism --- anti-cancer --- bioinformatics --- cancer --- brain --- pathophysiology --- imaging --- machine learning --- extreme learning --- deep learning --- neurological disorders --- pancreatic cancer --- TCGA --- curation --- DNA --- RNA --- protein --- single-biomarkers --- multiple-biomarkers --- cancer-related pathways --- colorectal cancer --- DNA sequence profile --- Monte Carlo --- mixture of normal distributions --- somatic mutation --- tumor --- mutable motif --- activation induced deaminase --- AID/APOBEC --- transcriptional signatures --- copy number variation --- copy number aberration --- TCGA mining --- cancer CRISPR --- firehose --- gene signature extraction --- gene loss biomarkers --- gene inactivation biomarkers --- biomarker discovery --- chemotherapy --- microarray --- ovarian cancer --- predictive model --- machine learning --- overall survival --- observed survival interval --- skin cutaneous melanoma --- The Cancer Genome Atlas --- omics --- breast cancer prognosis --- artificial intelligence --- machine learning --- decision support systems --- cancer prognosis --- independent prognostic power --- omics profiles --- histopathological imaging features --- cancer --- intratumor heterogeneity --- genomic instability --- epigenetics --- mitochondrial metabolism --- miRNAs --- cancer biomarkers --- breast cancer detection --- machine learning --- feature selection --- classification --- denoising autoencoders --- breast cancer --- feature extraction and interpretation --- concatenated deep feature --- cancer modeling --- interaction --- histopathological imaging --- clinical/environmental factors --- oral cancer --- miRNA --- bioinformatics --- datasets --- biomarkers --- TCGA --- GEO DataSets --- hormone sensitive cancers --- breast cancer --- StAR --- estrogen --- steroidogenic enzymes --- hTERT --- telomerase --- telomeres --- alternative splicing --- network analysis --- hierarchical clustering analysis --- differential gene expression analysis --- cancer biomarker --- diseases genes --- variable selection --- false discovery rate --- knockoffs --- bioinformatics --- copy number variation --- cell-free DNA --- methylation --- mutation --- next generation sequencing --- self-organizing map --- head and neck cancer --- treatment de-escalation --- HP --- molecular subtypes --- tumor microenvironment --- Bioinformatics tool --- R package --- machine learning --- meta-analysis --- biomarker signature --- gene expression analysis --- survival analysis --- functional analysis --- bioinformatics --- machine learning --- artificial intelligence --- Network Analysis --- single-cell sequencing --- circulating tumor DNA (ctDNA) --- Neoantigen Prediction --- precision medicine --- Computational Immunology

Circulating Tumor Cells: Finding Rare Events for A Huge Knowledge of Cancer Dissemination

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ISBN: 9783039286980 / 9783039286997 Year: Pages: 366 DOI: 10.3390/books978-3-03928-699-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General)
Added to DOAB on : 2020-06-09 16:38:57
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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.

Keywords

circulating tumor cells --- circulating tumor DNA --- liquid biopsy --- metastatic colorectal cancer --- FOLFIRINOX --- circulating tumor cells --- CTC --- liquid biopsy --- CTM --- CTMat --- CTC biology --- CTC capture technology --- metastasis --- circulating tumor cells (CTCs) --- hepatocellular carcinoma (HCC) --- castration resistant prostate cancer (CRPC) --- epithelial-to-mesenchymal transition (EMT) --- fibronectin --- integrin B1 --- SLUG --- major histocompatibility complex class I (MHCI) --- immunomodulation --- bone marrow --- melanoma --- disseminated tumor cells --- solid cancers --- single-cell analysis --- enrichment and detection technologies --- flow cytometry --- tumor stem cells --- HMB-45 --- CD133 --- locally advanced rectal cancer --- circulating tumor cells --- RAD23B --- thymidylate synthase --- chemoradioresistance --- liquid biopsy --- circulating tumor cells --- epithelial–mesenchymal transition --- stem cells --- early breast cancer --- prostate cancer (PCa) --- circulating tumor cells (CTC) --- liquid biopsy --- circulating tumor cells --- metastasis --- xenograft models --- breast cancer --- prostate cancer --- CTC --- AR --- AR-V7 --- ctRNA --- exosome --- circulating tumor cells --- hematological cells --- neutrophils --- platelets --- liquid biopsy --- circulating tumor cells --- melanoma --- liquid biopsy --- EPISPOT --- CellSearch® --- liquid biopsy --- CTCs --- immune checkpoint inhibitors --- PD-L1 expression --- NSCLC --- small-cell lung carcinoma --- circulating tumor cells --- microfluidics --- gene expression analysis --- synaptophysin --- chromogranin A --- rovalpituzumab tesirine --- leukocyte-derived extracellular vesicles --- immunofluorescence imaging --- EpCAM enrichment --- CellSearch --- EasyCount slides --- ACCEPT --- CTC --- heterogeneity --- liquid biopsy --- liquid surgery --- clinical utility --- circulating tumor cells (CTCs) --- glioma --- biomarker --- rVAR2 --- malaria --- enrichment and detection technologies --- prostate cancer --- biomarkers --- circulating tumor cells --- androgen receptor --- ARV7 --- abiraterone --- enzalutamide --- metastasis --- tumor-initiating cells (TICs) --- circulating tumor cells (CTCs) --- CTC-derived xenografts --- CTC-derived ex vivo models --- cerebrospinal liquid biopsy --- in vivo flow cytometry --- tumor biomarkers --- circulating tumor cells --- ctDNA --- miRNA --- exosomes --- emboli --- targeted therapy --- circulating tumor cells --- tumor cell dissemination --- immune system --- microbiome --- circulating tumor cells (CTCs) --- clinical trials --- breast cancer --- CTC-based treatment decisions --- circulating tumour cells --- colorectal cancer --- colorectal surgery --- microsatellite instability --- microfluidics --- immunophenotyping --- fish --- liquid biopsy --- circulating leukemia cells --- circulating plasma cells --- 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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