New Insights in the Genetics and Genomics of Adrenocortical Tumors and Pheochromocytomas

This book includes 17 papers published in the Special Issue/Article Collectoin “New Insights in the Genetics and Genomics of adrenocortical tumors and pheochromocytomas” including an editorial, 10 research papers and six review articles. Adrenal tumors represent a hot topic in contemporary endocrine...

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Taal:Engels
Gepubliceerd in: MDPI - Multidisciplinary Digital Publishing Institute 2022
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collection Directory of Open Access Books
description This book includes 17 papers published in the Special Issue/Article Collectoin “New Insights in the Genetics and Genomics of adrenocortical tumors and pheochromocytomas” including an editorial, 10 research papers and six review articles. Adrenal tumors represent a hot topic in contemporary endocrine oncology. Significant advancements in the genetics of genomics of these tumors have been made in recent years, and these articles give a useful and comprehensive overview of these issues. Questions regarding molecular pathogenesis, diagnosis (biomarkers) and even treatment are discussed in the papers written by international leaders of the field. Manuscripts are focused on three main topics: i. primary aldosteronism (the most common cause of secondary endocrine hypertension), ii. adrenocortical cancer and iii. pheochromocytoma/paraganglioma, which are the tumors with the highest heritability in humans. The book is edited by Prof. Peter Igaz (Department of Endocrinology, Faculty of Medicine, Semmelweis University).
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language eng
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publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-796722024-03-30T23:22:56Z New Insights in the Genetics and Genomics of Adrenocortical Tumors and Pheochromocytomas Igaz, Peter pheochromocytoma paraganglioma genetics non-coding RNA malignancy biomarker treatment adaptive metabolism adrenal gland conn adenoma fatty acid metabolism ferroptosis hyperaldosteronism metabolic reprogramming β-oxidation PPARα tumor microenvironment Next Generation Sequencing hereditary cancer endocrine tumor syndrome KCNJ5 somatic mutation pulse wave velocity aldosterone-producing adenoma adrenalectomy propensity score matching arterial stiffness pheochromocytomas paragangliomas mutations susceptibility genes driver mutations hereditary germline somatic environment variants tumor suppressor genes metastatic RNAseq next generation sequencing adrenocortical carcinoma in silico analysis machine learning bioinformatic clustering biomarker prediction aldosterone producing adenoma ATP2B3 K416-F418delinsN mutation primary aldosteronism PPGL telomeres TERT ATRX NOP10 prognostic biomarker ALT phaeochromocytoma cancer mitochondrial complex II zebrafish therapy drug discovery redox balance pathway Vitamin C mitotane H295 strains microRNA aldosterone circulating adrenocortical transcriptomics epigenetics metabolomics epidemiology genetic analysis mortality surveillance TP53 R337H genetic testing adrenocortical tumor neonatal screening screening adenoma adrenal tissue artificial intelligence neural network n/a thema EDItEUR::M Medicine and Nursing This book includes 17 papers published in the Special Issue/Article Collectoin “New Insights in the Genetics and Genomics of adrenocortical tumors and pheochromocytomas” including an editorial, 10 research papers and six review articles. Adrenal tumors represent a hot topic in contemporary endocrine oncology. Significant advancements in the genetics of genomics of these tumors have been made in recent years, and these articles give a useful and comprehensive overview of these issues. Questions regarding molecular pathogenesis, diagnosis (biomarkers) and even treatment are discussed in the papers written by international leaders of the field. Manuscripts are focused on three main topics: i. primary aldosteronism (the most common cause of secondary endocrine hypertension), ii. adrenocortical cancer and iii. pheochromocytoma/paraganglioma, which are the tumors with the highest heritability in humans. The book is edited by Prof. Peter Igaz (Department of Endocrinology, Faculty of Medicine, Semmelweis University). 2022-03-21T16:30:14Z 2022-03-21T16:30:14Z 2022 book ONIX_20220321_9783036533582_108 9783036533582 9783036533575 https://directory.doabooks.org/handle/20.500.12854/79672 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/5057 https://mdpi.com/books/pdfview/book/5057 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-3357-5 10.3390/books978-3-0365-3357-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036533582 9783036533575 272 Basel open access
spellingShingle pheochromocytoma
paraganglioma
genetics
non-coding RNA
malignancy
biomarker
treatment
adaptive metabolism
adrenal gland
conn adenoma
fatty acid metabolism
ferroptosis
hyperaldosteronism
metabolic reprogramming
β-oxidation
PPARα
tumor microenvironment
Next Generation Sequencing
hereditary cancer
endocrine tumor syndrome
KCNJ5 somatic mutation
pulse wave velocity
aldosterone-producing adenoma
adrenalectomy
propensity score matching
arterial stiffness
pheochromocytomas
paragangliomas
mutations
susceptibility genes
driver mutations
hereditary
germline
somatic
environment
variants
tumor suppressor genes
metastatic
RNAseq
next generation sequencing
adrenocortical carcinoma
in silico analysis
machine learning
bioinformatic clustering
biomarker prediction
aldosterone producing adenoma
ATP2B3
K416-F418delinsN mutation
primary aldosteronism
PPGL
telomeres
TERT
ATRX
NOP10
prognostic biomarker
ALT
phaeochromocytoma
cancer
mitochondrial complex II
zebrafish
therapy
drug discovery
redox balance pathway
Vitamin C
mitotane
H295 strains
microRNA
aldosterone
circulating
adrenocortical
transcriptomics
epigenetics
metabolomics
epidemiology
genetic analysis
mortality
surveillance
TP53 R337H
genetic testing
adrenocortical tumor
neonatal screening
screening
adenoma
adrenal
tissue
artificial intelligence
neural network
n/a
thema EDItEUR::M Medicine and Nursing
New Insights in the Genetics and Genomics of Adrenocortical Tumors and Pheochromocytomas
title New Insights in the Genetics and Genomics of Adrenocortical Tumors and Pheochromocytomas
title_full New Insights in the Genetics and Genomics of Adrenocortical Tumors and Pheochromocytomas
title_fullStr New Insights in the Genetics and Genomics of Adrenocortical Tumors and Pheochromocytomas
title_full_unstemmed New Insights in the Genetics and Genomics of Adrenocortical Tumors and Pheochromocytomas
title_short New Insights in the Genetics and Genomics of Adrenocortical Tumors and Pheochromocytomas
title_sort new insights in the genetics and genomics of adrenocortical tumors and pheochromocytomas
topic pheochromocytoma
paraganglioma
genetics
non-coding RNA
malignancy
biomarker
treatment
adaptive metabolism
adrenal gland
conn adenoma
fatty acid metabolism
ferroptosis
hyperaldosteronism
metabolic reprogramming
β-oxidation
PPARα
tumor microenvironment
Next Generation Sequencing
hereditary cancer
endocrine tumor syndrome
KCNJ5 somatic mutation
pulse wave velocity
aldosterone-producing adenoma
adrenalectomy
propensity score matching
arterial stiffness
pheochromocytomas
paragangliomas
mutations
susceptibility genes
driver mutations
hereditary
germline
somatic
environment
variants
tumor suppressor genes
metastatic
RNAseq
next generation sequencing
adrenocortical carcinoma
in silico analysis
machine learning
bioinformatic clustering
biomarker prediction
aldosterone producing adenoma
ATP2B3
K416-F418delinsN mutation
primary aldosteronism
PPGL
telomeres
TERT
ATRX
NOP10
prognostic biomarker
ALT
phaeochromocytoma
cancer
mitochondrial complex II
zebrafish
therapy
drug discovery
redox balance pathway
Vitamin C
mitotane
H295 strains
microRNA
aldosterone
circulating
adrenocortical
transcriptomics
epigenetics
metabolomics
epidemiology
genetic analysis
mortality
surveillance
TP53 R337H
genetic testing
adrenocortical tumor
neonatal screening
screening
adenoma
adrenal
tissue
artificial intelligence
neural network
n/a
thema EDItEUR::M Medicine and Nursing
topic_facet pheochromocytoma
paraganglioma
genetics
non-coding RNA
malignancy
biomarker
treatment
adaptive metabolism
adrenal gland
conn adenoma
fatty acid metabolism
ferroptosis
hyperaldosteronism
metabolic reprogramming
β-oxidation
PPARα
tumor microenvironment
Next Generation Sequencing
hereditary cancer
endocrine tumor syndrome
KCNJ5 somatic mutation
pulse wave velocity
aldosterone-producing adenoma
adrenalectomy
propensity score matching
arterial stiffness
pheochromocytomas
paragangliomas
mutations
susceptibility genes
driver mutations
hereditary
germline
somatic
environment
variants
tumor suppressor genes
metastatic
RNAseq
next generation sequencing
adrenocortical carcinoma
in silico analysis
machine learning
bioinformatic clustering
biomarker prediction
aldosterone producing adenoma
ATP2B3
K416-F418delinsN mutation
primary aldosteronism
PPGL
telomeres
TERT
ATRX
NOP10
prognostic biomarker
ALT
phaeochromocytoma
cancer
mitochondrial complex II
zebrafish
therapy
drug discovery
redox balance pathway
Vitamin C
mitotane
H295 strains
microRNA
aldosterone
circulating
adrenocortical
transcriptomics
epigenetics
metabolomics
epidemiology
genetic analysis
mortality
surveillance
TP53 R337H
genetic testing
adrenocortical tumor
neonatal screening
screening
adenoma
adrenal
tissue
artificial intelligence
neural network
n/a
thema EDItEUR::M Medicine and Nursing
url ONIX_20220321_9783036533582_108