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Molecular Research of Endometrial Pathophysiology

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ISBN: 9783039214952 9783039214969 Year: Pages: 378 DOI: 10.3390/books978-3-03921-496-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Sociology
Added to DOAB on : 2019-12-09 16:10:12
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Abstract

The endometrium has been the subject of intense research in a variety of clinical settings, because of its importance in the reproductive process and its role in women’s health. In the past 15 years, significant efforts have been invested in defining the molecular phenotype of the receptive phase endometrium as well as of various endometrial pathologies. Although this has generated a wealth of information on the molecular landscape of human endometrium, there is a need to complement this information in light of the novel methodologies and innovative technical approaches. The focus of this International Journal of Molecular Sciences Special Issue is on molecular and cellular mechanisms of endometrium and endometrium-related disorders. The progress made in the molecular actions of steroids, in the metabolism of steroids and intracrinology, in endometrial intracellular pathways, in stem cells biology, as well as in the molecular alterations underlying endometrium-related pathologies has been the focus of the reviews and papers included.

Keywords

RANK --- endometrium --- endometrial cancer --- prognosis --- immunohistochemistry --- gene expression --- endometriosis --- developmental pathway --- pathogenomics --- mesenchymal stem cells --- endometrial cancer --- mtDNA mutations --- deficit of complex I --- antioxidant response --- mitochondrial biogenesis --- mitochondrial dynamics --- mitophagy --- miRNA --- lncRNAs --- endometrial cancer --- endometriosis --- chronic endometritis --- cell contacts --- tight junction --- adherens junction --- gap junction --- endometrium --- implantation --- decidualization --- endometriosis --- endometrial cancer --- liquid biopsy --- uterine aspirate --- circulating tumour cells (CTCs) --- circulating tumour DNA (ctDNA) --- exosomes --- Vitamin D --- endometrium --- endometrial cancer --- endometrial cancer --- preclinical models --- translational research --- endometrial cancer --- type II endometrial carcinoma --- targeted therapy --- kinase inhibitor --- molecular marker --- protein kinase --- protein phosphatase --- PP2A --- PPP2R1A --- SMAP --- endometriosis --- infertility --- niche --- inflammation --- immunomodulation --- mesenchymal stem cell --- orthoxenograft --- uterine cancer --- avatar --- murine models --- personalized medicine --- targeted therapy --- preclinical studies --- translational research --- endometriosis --- TRP channels --- endometrial stromal cells --- eutopic and ectopic endometrium --- endometrial cell --- pathway --- proliferation --- decidualization --- migration --- angiogenesis --- regeneration --- breakdown --- implantation --- endometrial cancer --- orthotopic xenograft model --- estrogen dependent --- bioluminescence imaging --- contrast-enhanced CT scan --- endometrium --- adult stem cells --- endometrial regeneration --- stem cell markers --- endometriosis --- endometrial cancer --- decidualisation --- oestradiol --- aromatase --- testosterone --- dehydroepiandrosterone (DHEA) --- endometriosis --- endometrial cancer --- sulfatase --- endometriosis --- ectopic stroma --- microRNA --- small RNA sequencing --- EDN1 --- HOXA10 --- miR-139-5p --- miR-375 --- CTCF --- tumour suppressor gene --- haploinsufficiency --- zinc finger --- CRISPR/Cas9 --- cancer --- endometrial cancer --- gene editing --- phosphoinositide 3-kinase --- PIK3CA --- PIK3CB --- p110? --- p110? --- endometrial cancer --- LGR5 --- endometrium --- endometriosis --- menstrual cycle --- macrophages

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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Abstract

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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Abstract

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

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english (2)

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2020 (1)

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