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Matricellular Receptors as Potential Targets in Anti-Cancer Therapeutic Strategies

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889450244 Year: Pages: 129 DOI: 10.3389/978-2-88945-024-4 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Therapeutics
Added to DOAB on : 2018-02-27 16:16:44
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Abstract

The invasive character of a primary cancer is greatly dependent on numerous interactions between tumor cells and their extracellular surroundings. Matricellular receptors are defined as (cell-surface) receptors that bind extracellular matrix (ECM) structural proteins and soluble factors dynamically acting on ECM homeostasis. Matricellular receptors mediate numerous signalings from the extracellular environment to cell nucleus and drive main biological functions that are cell growth, survival and migration. Numerous data from the last decade evidence that matricellular receptors are biosensors that allow to a tumor cell answering to microenvironmental variations, and in this sense they are important contributors to tumor cell malignancy. Matricellular receptors represent thus valuable targets for the development of original anti-cancer strategies. Original reports, bibliographic reviews or hypotheses are welcome to improve the basic knowledge of matricellular receptor properties, their spatio-temporal regulation, the dynamic formation of complex receptors and the impact of such interactions on the invasive properties of tumor cells. Biological, biophysical and pharmacological, as well as in silico contributions will be appreciated.

Keywords

Anti-cancer target --- disco

Anticancer Drugs

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ISBN: 9783039215867 / 9783039215874 Year: Pages: 214 DOI: 10.3390/books978-3-03921-587-4 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Chemistry (General)
Added to DOAB on : 2019-12-09 11:49:15
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The past decades have seen major developments in the understanding of the cellular and molecular biology of cancer. Significant progress has been achieved regarding long-term survival for the patients of many cancers with the use of tamoxifen for treatment of breast cancer, treatment of chronic myeloid leukaemia with imatinib, and the success of biological drugs. The transition from cytotoxic chemotherapy to targeted cancer drug discovery and development has resulted in an increasing selection of tools available to oncologists. In this Special Issue of Pharmaceuticals, we highlight the opportunities and challenges in the discovery and design of innovative cancer therapies, novel small-molecule cancer drugs and antibody–drug conjugates, with articles covering a variety of anticancer therapies and potential relevant disease states and applications. Significant efforts are being made to develop and improve cancer treatments and to translate basic research findings into clinical use, resulting in improvements in survival rates and quality of life for cancer patients. We demonstrate the possibilities and scope for future research in these areas and also highlight the challenges faced by scientists in the area of anticancer drug development leading to improved targeted treatments and better survival rates for cancer patients.

Curcumin in Health and Disease

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ISBN: 9783039214495 / 9783039214501 Year: Pages: 274 DOI: 10.3390/books978-3-03921-450-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Chemistry (General)
Added to DOAB on : 2019-12-09 11:49:15
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The plant-derived polyphenol curcumin has been used in promoting health and combating disease for thousands of years. Its therapeutic effects have been successfully utilized in Ayurvedic and Traditional Chinese Medicine in order to treat inflammatory diseases. Current results from modern biomolecular research reveal the modulatory effects of curcumin on a variety of signal transduction pathways associated with inflammation and cancer. In this context, curcumin’s antioxidant, anti-inflammatory, anti-tumorigenic, and even anti-metastatic activities are discussed. On the cellular level, the reduced activity of several transcription factors (such as NFkB or AP-1) and the suppression of inflammatory cytokines, matrix degrading enzymes, metastasis related genes and even microRNAs are reported. On functional levels, these molecular effects translate into reduced proliferative, invasive, and metastatic capacity, as well as induced tumor cell apoptosis. All these effects have been observed not only in vitro but also in animal models. In combination with anti-neoplastic drugs like Taxol, kinase inhibitors, and radiation therapy, curcumin potentiates the drugs’ therapeutic power and can protect against undesired side effects. Natural plant-derived compounds like curcumin have one significant advantage: They do not usually cause side effects. This feature qualifies curcumin for primary prevention in healthy persons with a predisposition to cancer, arteriosclerosis, or chronic inflammatory diseases. Nonetheless, curcumin is considered safe, although potential toxic effects stemming from high dosages, long-term intake, and pharmacological interactions with other compounds have yet to be assessed. This Special Issue examines in detail and updates current research on the molecular targets, protective effects, and modes of action of natural plant-derived compounds and their roles in the prevention and treatment of human diseases.

Keywords

brain ischemia --- curcumin --- Alzheimer’s disease --- neurodegeneration --- amyloid --- tau protein --- autophagy --- mitophagy --- apoptosis --- genes --- glioblastoma multiforme --- autophagy --- mitophagy --- curcumin --- chaperone-mediated autophagy --- Akt/mTOR signaling --- transmission electron microscopy --- Curcuma longa --- turmeric tuber --- Zingiberaceae --- TLC bioautography --- antimicrobial agents --- ImageJ --- TLC-MS --- hydrostatic counter-current chromatography --- centrifugal partition chromatography --- curcumin --- death receptor --- apoptosis --- curcumin --- anticancer --- structure activity relationship --- cellular pathway --- mechanism of action --- delivery system --- wound --- wound healing --- diet --- nutrition --- micronutrients --- macronutrients --- curcumin --- amino-acids --- vitamins --- minerals --- curcumin --- oxidative metabolites --- inflamm-aging --- cancer --- metabolic reprogramming --- direct protein binding --- IL-17 --- STAT3 --- SHMT2 --- ageing --- anti-cancer --- autophagy --- microbiota --- senescence --- senolytics --- curcumin --- transthyretin --- amyloidosis --- protein aggregation --- protein misfolding --- drug discovery --- curcumin --- renal cell cancer --- tumor growth --- tumor proliferation --- cell cycling --- curcumin --- reflux esophagitis --- gastroprotection --- gastric ulcer --- Helicobacter pylori --- gastric cancer --- curcumin --- complementary medicine --- cancer treatment --- supportive care --- antioxidants --- anti-inflamation --- ulcerative colitis --- Crohn’s disease --- necrotizing enterocolitis --- curcumin --- inflammatory bowel disease --- curcumin --- silica --- chitosan --- nanoparticles --- anti-tumor --- antioxidant activity --- n/a

Disease and the Hippo Pathway: Cellular and Molecular Mechanisms

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ISBN: 9783039217762 / 9783039217779 Year: Pages: 226 DOI: 10.3390/books978-3-03921-777-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology
Added to DOAB on : 2019-12-09 11:49:16
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The Hippo pathway is a highly dynamic cellular signaling nexus that plays central roles in multiple cell types and regulates regeneration, metabolism, and development. The Hippo pathway integrates mechanotransduction, cell polarity, inflammation, and numerous types of paracrine signaling. If not tightly regulated, dysregulated Hippo pathway signaling drives the onset and progression of a range of diseases, including fibrosis and cancer. The molecular understanding of the Hippo pathway is rapidly evolving. This Special Issue contains ten articles contributed by established and up-and-coming Hippo pathway experts that, as a whole, provides an up-to-date overview of how dysregulated Hippo pathway activity is a common driver of specific diseases. The articles have a particular focus on the underlying molecular and cellular mechanisms that cause the Hippo pathway to go awry, and especially how this drives disease. The articles analyze disease-specific as well as common themes, which provides valuable insights into the fundamental molecular mechanisms in the dysfunctioning Hippo pathway, and thereby offer practical insights into potential future therapeutic intervention strategies.

Application of Bioinformatics in Cancers

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ISBN: 9783039217885 / 9783039217892 Year: Pages: 418 DOI: 10.3390/books978-3-03921-789-2 Language: eng
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

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