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Immunocytochemistry. --- Mice. --- Stroma. --- Thymus gland.
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Keratitis --- Corneal Stroma --- Cornea --- Aldehyde Dehydrogenase --- Antigen-Antibody Complex --- immunology --- immunology --- immunology --- chemistry --- metabolism
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Photorefractive Keratectomy --- Myopia --- Cornea --- Wound Healing --- Corneal Stroma --- Corneal Opacity --- adverse effects --- etiology --- surgery --- pathology --- etiology
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The Special Issue on high grade serous ovarian cancer (HGSOC) and the contribution of the tumor microenviroment (TME) consists of reviews contributed by leaders in the OC field. As HGSOC metastases have a highly complex TME, there is an urgent need to better understand the TME in general, its distinct components in particular, and the role of the TME in the context of disease recurrence and development of chemoresistance. The Special Issue incorporates the current understanding of the different parts of thd TME components, including the cancer cells themselves, the cells surrounding the cancer cells or stromal cells, and the cells of the immune system, which are attracted to the site of metastases. In addition to these cells of the TME, the role of various cellular factors made by the cells of the TME are also the subject of the reviews. In addition, reviews in this Special Issue cover the complex relationships between the molecular mechanisms of HGSOC progression, including genomic, epigenomic and transcriptomic changes and changes in the immune cell landscape, as these may provide attractive new molecular targets for HGSOC therapy.
ovarian cancer --- transcriptomic --- stroma --- immune cells --- epigenetics --- recurrence --- immunotherapies --- chemoresistance --- fibroblasts --- metastasis --- genomic --- tumor microenvironment --- cancer stem cells
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The number of males diagnosed with prostate cancer (PCa) is increasing all over the world. Most patients with early-stage PCa can be treated with appropriate therapy, such as radical prostatectomy or irradiation. On the other hand, androgen deprivation therapy (ADT) is the standard systemic therapy given to patients with advanced PCa. ADT induces temporary remission, but the majority of patients (approximately 60%) eventually progress to castration-resistant prostate cancer (CRPC), which is associated with a high mortality rate. Generally, well-differentiated PCa cells are androgen dependent, i.e., androgen receptor (AR) signalling regulates cell cycle and differentiation. The loss of AR signalling after ADT triggers androgen-independent outgrowth, generating poorly differentiated, uncontrollable PCa cells. Once PCa cells lose their sensitivity to ADT, effective therapies are limited. In the last few years, however, several new options for the treatment of CRPC have been approved, e.g., the CYP17 inhibitor, the AR antagonist, and the taxane. Despite this progress in the development of new drugs, there is a high medical need for optimizing the sequence and combination of approved drugs. Thus, the identification of predictive biomarkers may help in the context of personalized medicine to guide treatment decisions, improve clinical outcomes, and prevent unnecessary side effects. In this Special Issue Book, we focused on the cytobiology of human PCa cells and its clinical applications to develop a major step towards personalized medicine matched to the individual needs of patients with early-stage and advanced PCa and CRPC. We hope that this Special Issue Book attracts the attention of readers with expertise and interest in the cytobiology of PCa cells.
Medicine --- androgen receptor --- docetaxel --- cabazitaxel --- castration-resistant prostate cancer --- chemotherapy --- P-glycoprotein --- EPI-002 --- splice variant --- prostate-specific antigen --- androgen deprivation therapy --- time to PSA nadir --- fibroblasts --- prostate cancer --- androgen sensitivity --- pirfenidone --- TGFβ1 --- G1 cell cycle arrest --- fibroblast growth factor --- fibroblast growth factor receptor --- obesity --- inflammation --- immune cells --- cytokine --- high-fat diet --- KIFC1 --- docetaxel resistance --- apoptosis --- CW069 --- Caveolin-1 --- TP53-regulated inhibitor of apoptosis 1 --- tumour stroma --- tumour microenvironment --- fibroblast --- CAF --- resistance --- radiotherapy --- CCL2 --- CCL22 --- CCL5 --- migration --- LSD1 --- epigenetics --- autophagy --- abiraterone --- enzalutamide --- testosterone --- castration resistant prostate cancer --- animal model --- diet --- fat --- in vitro --- in vivo --- mouse --- AKR1C3 --- hormone-naïve prostate cancer --- immunohistochemistry --- tissue microarray --- androgen receptor dependency --- fibroblast-dependent androgen receptor activation --- androgen receptor --- docetaxel --- cabazitaxel --- castration-resistant prostate cancer --- chemotherapy --- P-glycoprotein --- EPI-002 --- splice variant --- prostate-specific antigen --- androgen deprivation therapy --- time to PSA nadir --- fibroblasts --- prostate cancer --- androgen sensitivity --- pirfenidone --- TGFβ1 --- G1 cell cycle arrest --- fibroblast growth factor --- fibroblast growth factor receptor --- obesity --- inflammation --- immune cells --- cytokine --- high-fat diet --- KIFC1 --- docetaxel resistance --- apoptosis --- CW069 --- Caveolin-1 --- TP53-regulated inhibitor of apoptosis 1 --- tumour stroma --- tumour microenvironment --- fibroblast --- CAF --- resistance --- radiotherapy --- CCL2 --- CCL22 --- CCL5 --- migration --- LSD1 --- epigenetics --- autophagy --- abiraterone --- enzalutamide --- testosterone --- castration resistant prostate cancer --- animal model --- diet --- fat --- in vitro --- in vivo --- mouse --- AKR1C3 --- hormone-naïve prostate cancer --- immunohistochemistry --- tissue microarray --- androgen receptor dependency --- fibroblast-dependent androgen receptor activation
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Personalised medicine is the next step in healthcare, especially when applied to genetically diverse diseases such as cancers. Naturally, a host of methods need to evolve alongside this, in order to allow the practice and implementation of individual treatment regimens. One of the major tasks for the development of personalised treatment of cancer is the identification and validation of a comprehensive, robust, and reliable panel of biomarkers that guide the clinicians to provide the best treatment to patients. This is indeed important with regards to radiotherapy; not only do biomarkers allow for the assessment of treatability, tumour response, and the radiosensitivity of healthy tissue of the treated patient. Furthermore, biomarkers should allow for the evaluation of the risks of developing adverse late effects as a result of radiotherapy such as second cancers and non-cancer effects, for example cardiovascular injury and cataract formation. Knowledge of all of these factors would allow for the development of a tailored radiation therapy regime. This Special Issue of the Journal of Personalised Medicine covers the topic of Radiation Response Biomarkers in the context of individualised cancer treatments, and offers an insight into some of the further evolution of radiation response biomarkers, their usefulness in guiding clinicians, and their application in radiation therapy.
Medicine --- carbon-ion radiotherapy --- head-and-neck tumors --- squamous cell carcinoma --- radiosensitivity --- relative biological effectiveness --- lung cancer --- radiotherapy --- radiotherapy monitoring --- radiation-induced lung injury --- RILI --- pneumonitis --- radiation-induced lung fibrosis --- RILF --- circulating biomarkers --- microRNA --- micronuclei --- uterine cervical cancer --- cGAS --- STING --- abscopal effect --- immunotherapy --- PBMCS --- micronucleus assay --- biological dosimetry --- human blood --- genotoxicity tests --- ionizing radiation --- biomarkers --- dicentric assay --- gamma H2AX foci assay --- health surveillance analyses --- clonogenic assays --- methods --- plating --- cancer --- radiation --- head and neck cancer --- exosomes --- serum --- metabolomics --- GC/MS --- biodosimetry --- chromosome aberrations --- normal tissue toxicity --- predictive tests --- normal tissue --- biomarker --- protein --- immune infiltrate --- stroma --- tumour microenvironment --- proteomics --- telomeres --- chromosomal instability --- inversions --- prostate cancer --- IMRT --- machine learning --- individual radiosensitivity --- late effects --- personalized medicine --- liquid biopsy --- circulating tumour cells --- extracellular vesicles --- microRNAs --- immune system --- inflammation --- carbon-ion radiotherapy --- head-and-neck tumors --- squamous cell carcinoma --- radiosensitivity --- relative biological effectiveness --- lung cancer --- radiotherapy --- radiotherapy monitoring --- radiation-induced lung injury --- RILI --- pneumonitis --- radiation-induced lung fibrosis --- RILF --- circulating biomarkers --- microRNA --- micronuclei --- uterine cervical cancer --- cGAS --- STING --- abscopal effect --- immunotherapy --- PBMCS --- micronucleus assay --- biological dosimetry --- human blood --- genotoxicity tests --- ionizing radiation --- biomarkers --- dicentric assay --- gamma H2AX foci assay --- health surveillance analyses --- clonogenic assays --- methods --- plating --- cancer --- radiation --- head and neck cancer --- exosomes --- serum --- metabolomics --- GC/MS --- biodosimetry --- chromosome aberrations --- normal tissue toxicity --- predictive tests --- normal tissue --- biomarker --- protein --- immune infiltrate --- stroma --- tumour microenvironment --- proteomics --- telomeres --- chromosomal instability --- inversions --- prostate cancer --- IMRT --- machine learning --- individual radiosensitivity --- late effects --- personalized medicine --- liquid biopsy --- circulating tumour cells --- extracellular vesicles --- microRNAs --- immune system --- inflammation
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This Urological Cancer 2020 collection contains a set of multidisciplinary contributions to the extraordinary heterogeneity of tumor mechanisms, diagnostic approaches, and therapies of the renal, urinary tract, and prostate cancers, with the intention of offering to interested readers a representative snapshot of the status of urological research.
renal cell carcinoma --- iron --- macrophages --- chelation therapy --- urothelial carcinoma --- transcriptome --- microtubule --- MAP1B --- prognosis --- KLF5 --- androgen receptor --- cell proliferation --- tumorigenesis --- prostate cancer --- precision medicine --- whole genome sequencing --- optical mapping --- therapy --- prostate carcinoma --- prostate mpMRI --- machine learning --- artificial intelligence --- deep learning --- neural network --- angiogenesis --- angiogenic growth factors --- antiangiogenic therapy --- renal tumors --- prevention --- α1-adrenoceptor antagonists --- anoikis --- vascularity --- research model --- oncogenes --- tumor suppressor genes --- MR-guided --- radiotherapy --- MRgRT --- stereotactic ablative radiotherapy --- stereotactic ablative radiation therapy (SABR) --- renal cell cancer --- RCC --- online adaptive --- [68Ga]Ga-PSMA PET/CT --- dual-time point imaging --- delayed imaging --- biphasic imaging --- lesion positivity rate --- CXCL9 --- PD1 --- PD-L1 --- stage T1 NMIBC --- prostatic neoplasms/mortality --- prostatic neoplasms/epidemiology --- SEER Program --- bladder cancer --- transurethral resection --- en-bloc resection --- CPT1A --- fatty acids --- serine --- androgen response --- ROS --- oxidative stress --- DONSON --- Downstream Neighbor of SON --- biomarker --- metastatic spread --- diagnosis --- differential diagnosis --- histopathology --- immunohistochemistry --- stroma signature --- patient-derived xenografts --- n/a --- Research. --- Biology.
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Personalised medicine is the next step in healthcare, especially when applied to genetically diverse diseases such as cancers. Naturally, a host of methods need to evolve alongside this, in order to allow the practice and implementation of individual treatment regimens. One of the major tasks for the development of personalised treatment of cancer is the identification and validation of a comprehensive, robust, and reliable panel of biomarkers that guide the clinicians to provide the best treatment to patients. This is indeed important with regards to radiotherapy; not only do biomarkers allow for the assessment of treatability, tumour response, and the radiosensitivity of healthy tissue of the treated patient. Furthermore, biomarkers should allow for the evaluation of the risks of developing adverse late effects as a result of radiotherapy such as second cancers and non-cancer effects, for example cardiovascular injury and cataract formation. Knowledge of all of these factors would allow for the development of a tailored radiation therapy regime. This Special Issue of the Journal of Personalised Medicine covers the topic of Radiation Response Biomarkers in the context of individualised cancer treatments, and offers an insight into some of the further evolution of radiation response biomarkers, their usefulness in guiding clinicians, and their application in radiation therapy.
carbon-ion radiotherapy --- head-and-neck tumors --- squamous cell carcinoma --- radiosensitivity --- relative biological effectiveness --- lung cancer --- radiotherapy --- radiotherapy monitoring --- radiation-induced lung injury --- RILI --- pneumonitis --- radiation-induced lung fibrosis --- RILF --- circulating biomarkers --- microRNA --- micronuclei --- uterine cervical cancer --- cGAS --- STING --- abscopal effect --- immunotherapy --- PBMCS --- micronucleus assay --- biological dosimetry --- human blood --- genotoxicity tests --- ionizing radiation --- biomarkers --- dicentric assay --- gamma H2AX foci assay --- health surveillance analyses --- clonogenic assays --- methods --- plating --- cancer --- radiation --- head and neck cancer --- exosomes --- serum --- metabolomics --- GC/MS --- biodosimetry --- chromosome aberrations --- normal tissue toxicity --- predictive tests --- normal tissue --- biomarker --- protein --- immune infiltrate --- stroma --- tumour microenvironment --- proteomics --- telomeres --- chromosomal instability --- inversions --- prostate cancer --- IMRT --- machine learning --- individual radiosensitivity --- late effects --- personalized medicine --- liquid biopsy --- circulating tumour cells --- extracellular vesicles --- microRNAs --- immune system --- inflammation --- n/a
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The number of males diagnosed with prostate cancer (PCa) is increasing all over the world. Most patients with early-stage PCa can be treated with appropriate therapy, such as radical prostatectomy or irradiation. On the other hand, androgen deprivation therapy (ADT) is the standard systemic therapy given to patients with advanced PCa. ADT induces temporary remission, but the majority of patients (approximately 60%) eventually progress to castration-resistant prostate cancer (CRPC), which is associated with a high mortality rate. Generally, well-differentiated PCa cells are androgen dependent, i.e., androgen receptor (AR) signalling regulates cell cycle and differentiation. The loss of AR signalling after ADT triggers androgen-independent outgrowth, generating poorly differentiated, uncontrollable PCa cells. Once PCa cells lose their sensitivity to ADT, effective therapies are limited. In the last few years, however, several new options for the treatment of CRPC have been approved, e.g., the CYP17 inhibitor, the AR antagonist, and the taxane. Despite this progress in the development of new drugs, there is a high medical need for optimizing the sequence and combination of approved drugs. Thus, the identification of predictive biomarkers may help in the context of personalized medicine to guide treatment decisions, improve clinical outcomes, and prevent unnecessary side effects. In this Special Issue Book, we focused on the cytobiology of human PCa cells and its clinical applications to develop a major step towards personalized medicine matched to the individual needs of patients with early-stage and advanced PCa and CRPC. We hope that this Special Issue Book attracts the attention of readers with expertise and interest in the cytobiology of PCa cells.
androgen receptor --- docetaxel --- cabazitaxel --- castration-resistant prostate cancer --- chemotherapy --- P-glycoprotein --- EPI-002 --- splice variant --- prostate-specific antigen --- androgen deprivation therapy --- time to PSA nadir --- fibroblasts --- prostate cancer --- androgen sensitivity --- pirfenidone --- TGFβ1 --- G1 cell cycle arrest --- fibroblast growth factor --- fibroblast growth factor receptor --- obesity --- inflammation --- immune cells --- cytokine --- high-fat diet --- KIFC1 --- docetaxel resistance --- apoptosis --- CW069 --- Caveolin-1 --- TP53-regulated inhibitor of apoptosis 1 --- tumour stroma --- tumour microenvironment --- fibroblast --- CAF --- resistance --- radiotherapy --- CCL2 --- CCL22 --- CCL5 --- migration --- LSD1 --- epigenetics --- autophagy --- abiraterone --- enzalutamide --- testosterone --- castration resistant prostate cancer --- animal model --- diet --- fat --- in vitro --- in vivo --- mouse --- AKR1C3 --- hormone-naïve prostate cancer --- immunohistochemistry --- tissue microarray --- androgen receptor dependency --- fibroblast-dependent androgen receptor activation --- n/a --- hormone-naïve prostate cancer
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The book is based on the Cancers journal Special Issue entitled “Immunotherapy, Tumor Microenvironment and Survival Signaling", and focuses on important problems concerning tumors and tumor microenvironment interactions, as well as novel immunotherapies such as CAR-T cell therapy. Immunotherapies have recently shown remarkable results in the treatment of cancer patients. However, there are still many questions that remain to be solved in regards to more effective therapies, such as the tumor heterogeneous profile, tumor microenvironment, and tumor survival epigenetic and genetic pathways, all of which make patients resistant to the presently available treatments for cancer. This book demonstrates different approaches to overcome the challenges faced by immunotherapies due to suppressive tumor microenvironments. This book includes 18 papers that can be divided into three chapters: 1. novel immunotherapies; 2. targeting tumor microenvironment and novel approaches; 3. targeting tumors and tumor microenvironment in different types of cancer.
Medicine --- Clinical & internal medicine --- Autophagy --- colorectal cancer --- immunotherapy --- tumor stroma --- tumor microenvironment --- immune checkpoint inhibitors --- chemotherapy --- tyrosine kinase inhibitors --- angiogenesis --- check point inhibitors --- programmed cell death protein 1 --- programmed cell death 1 ligand 1 --- cardiotoxicity --- lung metastasis --- CAR-T --- hypoxia --- tumor --- microenvironment --- CD19 --- BCMA --- cancer --- melanoma --- immune escape --- antigen loss --- chimeric antigen receptor --- electroporation --- lentivirus --- lentiviral transduction --- macrophages --- leukemia cells --- lytic peptides --- targeted therapy --- dendritic cells --- pathogenesis --- risk factors --- breast cancer --- resistance --- checkpoint --- targeted treatment --- personalized medicine --- pediatric solid tumors --- chimeric antigen receptors --- cancer vaccines --- oncolytic viral therapy --- immunomodulation --- DCLK1 --- tumor stem cells --- clonogenicity --- mitochondria --- mitochondrial transfer --- tunneling nanotubes --- triple-negative breast cancer --- immune checkpoint inhibitor --- combination therapy --- cancer nanomedicine --- tumor antigens --- cancer metabolism --- cancer immunotherapy --- nanoparticles --- immunotherapeutic agent --- immunomodulators --- tuft cells --- cancer stem cells --- immunotherapies --- myeloid-derived suppressor cells --- regulatory T cells --- crosstalk --- tumor immune evasion --- cell-cell contact --- β2 integrins --- CD18 --- CD11 --- CAR-T cells --- CD37 --- cell therapy --- tumor antigen --- lymphoma --- CAR macrophage --- CAR T cell --- solid tumors --- immunometabolism --- miRNA --- immunogenic cell death --- Autophagy --- colorectal cancer --- immunotherapy --- tumor stroma --- tumor microenvironment --- immune checkpoint inhibitors --- chemotherapy --- tyrosine kinase inhibitors --- angiogenesis --- check point inhibitors --- programmed cell death protein 1 --- programmed cell death 1 ligand 1 --- cardiotoxicity --- lung metastasis --- CAR-T --- hypoxia --- tumor --- microenvironment --- CD19 --- BCMA --- cancer --- melanoma --- immune escape --- antigen loss --- chimeric antigen receptor --- electroporation --- lentivirus --- lentiviral transduction --- macrophages --- leukemia cells --- lytic peptides --- targeted therapy --- dendritic cells --- pathogenesis --- risk factors --- breast cancer --- resistance --- checkpoint --- targeted treatment --- personalized medicine --- pediatric solid tumors --- chimeric antigen receptors --- cancer vaccines --- oncolytic viral therapy --- immunomodulation --- DCLK1 --- tumor stem cells --- clonogenicity --- mitochondria --- mitochondrial transfer --- tunneling nanotubes --- triple-negative breast cancer --- immune checkpoint inhibitor --- combination therapy --- cancer nanomedicine --- tumor antigens --- cancer metabolism --- cancer immunotherapy --- nanoparticles --- immunotherapeutic agent --- immunomodulators --- tuft cells --- cancer stem cells --- immunotherapies --- myeloid-derived suppressor cells --- regulatory T cells --- crosstalk --- tumor immune evasion --- cell-cell contact --- β2 integrins --- CD18 --- CD11 --- CAR-T cells --- CD37 --- cell therapy --- tumor antigen --- lymphoma --- CAR macrophage --- CAR T cell --- solid tumors --- immunometabolism --- miRNA --- immunogenic cell death
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