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Book
Cancer Biomarker Research and Personalized Medicine
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Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Biomarkers are measures of a biological state. The treatment of individual patients based on particular factors, such as biomarkers, distinguishes standard, generalized treatment plans from personalized medicine. Even though personalized medicine is applicable to most branches of medicine, the field of oncology is perhaps where it is most easily employed. Cancer is a heterogeneous disease; although patients may be diagnosed histologically with the same cancer type, their tumors can comprise varying tumor microenvironments and molecular characteristics that can impact treatment response and prognosis. There has been a major drive over the past decade to try and realize personalized cancer medicine through the discovery and use of disease-specific biomarkers. This book, entitled “Cancer Biomarker Research and Personalized Medicine”, encompasses 22 publications from colleagues working on a diverse range of cancers, including prostate, breast, ovarian, head and neck, liver, gastric, bladder, colorectal, and kidney. The biomarkers assessed in these studies include genes, intracellular or secreted proteins, exosomes, DNA, RNA, miRNA, circulating tumor cells, circulating immune cells, in addition to radiomic features.

Keywords

Medicine --- Oncology --- clear cell renal cell carcinoma --- radiomics --- WHO/ISUP nuclear grade --- multiphasic multidetector computed tomography --- triple-negative breast cancer --- taxane --- chemotherapy --- GBP5 --- Akt/mTOR --- autophagy --- IL13Rα2 --- renal cell carcinoma --- JAK2 --- FOXO3 --- telmisartan --- ovarian cancer --- bioinformatics --- CREB1 --- drug perturbation --- lincRNA-p21 --- rectal cancer --- chemoradiotherapy --- colorectal cancer --- long non-coding RNA --- p53 --- predictive biomarker --- intestinal anastomosis --- anastomotic leak --- biomarkers --- precision medicine --- personalized medicine --- biomarker --- AmpliSeq --- DNA methylation --- epigenetics --- head and neck cancer --- saliva --- liquid biopsy --- meta-analysis --- gastric cancer --- middle-up-down --- haptoglobin --- glycopeptide --- mass spectrometry --- circulating tumor cells --- prostate cancer --- cancer vaccine --- immune response --- breast cancer --- predictive tools --- prognostic tools --- translational research --- IL6ST --- gp130 --- cytokine signalling --- tissue-based biomarkers --- liquid-based biomarkers --- radiotherapy --- radiosensitivity biomarkers --- secretome --- radioresistance --- bladder tumor --- lymphocyte-to-monocyte ratio --- peripheral blood parameters --- tumor recurrence --- transurethral resection --- lipidomics --- 1H-NMR --- LC-MS/MS --- lipoprotein subfractions --- lipoprotein lipase --- cancer biomarkers --- hepatocellular carcinoma --- p16 expression --- head and neck squamous cell carcinoma --- HPV genotyping --- exosomes --- chemoresistance --- comparative oncology --- One Health --- microRNA --- lymph node metastasis --- hormone-dependent carcinogenesis --- localized prostate cancer --- prognostic factors --- HNSCC --- n/a


Book
Cancer Biomarker Research and Personalized Medicine
Author:
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Bookmark

Abstract

Biomarkers are measures of a biological state. The treatment of individual patients based on particular factors, such as biomarkers, distinguishes standard, generalized treatment plans from personalized medicine. Even though personalized medicine is applicable to most branches of medicine, the field of oncology is perhaps where it is most easily employed. Cancer is a heterogeneous disease; although patients may be diagnosed histologically with the same cancer type, their tumors can comprise varying tumor microenvironments and molecular characteristics that can impact treatment response and prognosis. There has been a major drive over the past decade to try and realize personalized cancer medicine through the discovery and use of disease-specific biomarkers. This book, entitled “Cancer Biomarker Research and Personalized Medicine”, encompasses 22 publications from colleagues working on a diverse range of cancers, including prostate, breast, ovarian, head and neck, liver, gastric, bladder, colorectal, and kidney. The biomarkers assessed in these studies include genes, intracellular or secreted proteins, exosomes, DNA, RNA, miRNA, circulating tumor cells, circulating immune cells, in addition to radiomic features.

Keywords

clear cell renal cell carcinoma --- radiomics --- WHO/ISUP nuclear grade --- multiphasic multidetector computed tomography --- triple-negative breast cancer --- taxane --- chemotherapy --- GBP5 --- Akt/mTOR --- autophagy --- IL13Rα2 --- renal cell carcinoma --- JAK2 --- FOXO3 --- telmisartan --- ovarian cancer --- bioinformatics --- CREB1 --- drug perturbation --- lincRNA-p21 --- rectal cancer --- chemoradiotherapy --- colorectal cancer --- long non-coding RNA --- p53 --- predictive biomarker --- intestinal anastomosis --- anastomotic leak --- biomarkers --- precision medicine --- personalized medicine --- biomarker --- AmpliSeq --- DNA methylation --- epigenetics --- head and neck cancer --- saliva --- liquid biopsy --- meta-analysis --- gastric cancer --- middle-up-down --- haptoglobin --- glycopeptide --- mass spectrometry --- circulating tumor cells --- prostate cancer --- cancer vaccine --- immune response --- breast cancer --- predictive tools --- prognostic tools --- translational research --- IL6ST --- gp130 --- cytokine signalling --- tissue-based biomarkers --- liquid-based biomarkers --- radiotherapy --- radiosensitivity biomarkers --- secretome --- radioresistance --- bladder tumor --- lymphocyte-to-monocyte ratio --- peripheral blood parameters --- tumor recurrence --- transurethral resection --- lipidomics --- 1H-NMR --- LC-MS/MS --- lipoprotein subfractions --- lipoprotein lipase --- cancer biomarkers --- hepatocellular carcinoma --- p16 expression --- head and neck squamous cell carcinoma --- HPV genotyping --- exosomes --- chemoresistance --- comparative oncology --- One Health --- microRNA --- lymph node metastasis --- hormone-dependent carcinogenesis --- localized prostate cancer --- prognostic factors --- HNSCC --- n/a


Book
Cancer Biomarker Research and Personalized Medicine
Author:
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Biomarkers are measures of a biological state. The treatment of individual patients based on particular factors, such as biomarkers, distinguishes standard, generalized treatment plans from personalized medicine. Even though personalized medicine is applicable to most branches of medicine, the field of oncology is perhaps where it is most easily employed. Cancer is a heterogeneous disease; although patients may be diagnosed histologically with the same cancer type, their tumors can comprise varying tumor microenvironments and molecular characteristics that can impact treatment response and prognosis. There has been a major drive over the past decade to try and realize personalized cancer medicine through the discovery and use of disease-specific biomarkers. This book, entitled “Cancer Biomarker Research and Personalized Medicine”, encompasses 22 publications from colleagues working on a diverse range of cancers, including prostate, breast, ovarian, head and neck, liver, gastric, bladder, colorectal, and kidney. The biomarkers assessed in these studies include genes, intracellular or secreted proteins, exosomes, DNA, RNA, miRNA, circulating tumor cells, circulating immune cells, in addition to radiomic features.

Keywords

Medicine --- Oncology --- clear cell renal cell carcinoma --- radiomics --- WHO/ISUP nuclear grade --- multiphasic multidetector computed tomography --- triple-negative breast cancer --- taxane --- chemotherapy --- GBP5 --- Akt/mTOR --- autophagy --- IL13Rα2 --- renal cell carcinoma --- JAK2 --- FOXO3 --- telmisartan --- ovarian cancer --- bioinformatics --- CREB1 --- drug perturbation --- lincRNA-p21 --- rectal cancer --- chemoradiotherapy --- colorectal cancer --- long non-coding RNA --- p53 --- predictive biomarker --- intestinal anastomosis --- anastomotic leak --- biomarkers --- precision medicine --- personalized medicine --- biomarker --- AmpliSeq --- DNA methylation --- epigenetics --- head and neck cancer --- saliva --- liquid biopsy --- meta-analysis --- gastric cancer --- middle-up-down --- haptoglobin --- glycopeptide --- mass spectrometry --- circulating tumor cells --- prostate cancer --- cancer vaccine --- immune response --- breast cancer --- predictive tools --- prognostic tools --- translational research --- IL6ST --- gp130 --- cytokine signalling --- tissue-based biomarkers --- liquid-based biomarkers --- radiotherapy --- radiosensitivity biomarkers --- secretome --- radioresistance --- bladder tumor --- lymphocyte-to-monocyte ratio --- peripheral blood parameters --- tumor recurrence --- transurethral resection --- lipidomics --- 1H-NMR --- LC-MS/MS --- lipoprotein subfractions --- lipoprotein lipase --- cancer biomarkers --- hepatocellular carcinoma --- p16 expression --- head and neck squamous cell carcinoma --- HPV genotyping --- exosomes --- chemoresistance --- comparative oncology --- One Health --- microRNA --- lymph node metastasis --- hormone-dependent carcinogenesis --- localized prostate cancer --- prognostic factors --- HNSCC


Book
Renal Cell Carcinoma
Author:
ISBN: 3039286390 3039286382 Year: 2020 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

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

Renal cell carcinoma. --- Kidneys --- Cancer. --- Adenocarcinoma of kidney --- Clear cell carcinoma --- Grawitz tumor --- Grawitz's tumor --- Hypernephroid carcinoma --- Hypernephroma --- Renal adenocarcinoma --- Renal cell adenocarcinoma --- Cancer --- N-glycomapping --- n/a --- SMAD proteins --- patient survival --- pro-IL-1? --- survival prediction --- inflammation markers --- tumor migration --- prognostic factors --- practical approach --- circular RNAs in a clinico-genomic predictive model --- glycomarkers --- review --- nephrectomy --- uric acid --- VEGF inhibitors --- metabolic reprogramming --- collecting duct carcinoma --- curcumin --- metabolome profiling --- identification of circular RNAs --- IL-2 --- experimental validation of circular RNA --- Raf/MEK/ERK --- HOT --- PI3K/Akt/mTOR --- pentose phosphate pathway --- kidney cancer --- LOT --- mutation --- RCC --- polybromo-1 --- pale cell --- MMP-9 --- gene expression --- recurrence free survival --- chromosomal loss --- IL-1? --- chronic kidney disease --- glutathione transferase omega 2 --- label-free --- glutathione transferase omega 1 --- emerging entity --- copy number alteration --- FOXO3 --- predictive role --- tumor slice culture --- tyrosine kinase inhibitors --- PPP --- ESC --- CDKN1A expression --- metastasis --- PD-L1 --- diagnostic and prognostic markers --- EVI1 --- copy number loss --- RNA sequencing --- NK cells --- glutathione metabolism --- clear cell renal cell carcinoma --- renal cell cancer --- proliferation --- eosinophilic variant --- Xp11 translocation renal cell carcinoma --- prognosis --- invasion --- immune infiltration --- IL4R? --- FISH --- 11) translocation renal cell carcinoma --- tumor microenvironment --- metabolome --- hyperosmolality --- toxicity --- ALK --- drug sensitivity --- t(6 --- copy number analysis --- urine --- genetic association --- polymorphism --- solute carrier proteins --- kidney --- metastatic ccRCC --- molecular genetic features --- recurrence-free survival --- chromophobe renal cell carcinoma --- unclassified renal tumor --- overall survival --- mTOR inhibitors --- mTOR --- JAK2 --- von Hippel–Lindau --- miR-155-5p --- glycoproteomics --- PBRM1 --- miR-133b --- survival --- TFE3 --- TFEB --- oncocytic renal tumor --- immune checkpoint inhibitors --- biomarker --- MMP10 --- TCGA --- ghrelin --- EMT like --- checkpoint inhibitors --- MiT family translocation renal cell carcinoma --- gene signature --- sarcomatoid --- transforming growth factor beta --- clear cell Renal Cell Carcinoma --- tumor adhesion --- renal cancer --- unclassified renal cell carcinoma --- Papillary renal cell carcinoma (pRCC) --- miR-146a-5p --- renal cell --- everolimus --- integrins --- cytoreductive nephrectomy --- immunotherapy --- predictive factors --- immunohistochemistry --- MTA2 --- IL13R?1 --- targeted therapy --- intratumour heterogeneity --- aurora A --- TCA cycle --- AMP-activated protein kinases --- cancer-specific survival --- programmed death-ligand 1 --- efficacy --- renal cell carcinoma --- anaplastic lymphoma kinase rearrangement --- TFEB-amplified renal cell carcinoma --- statins --- cancer immunotherapy --- microRNA --- new entity --- proteome profiling --- von Hippel-Lindau

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