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Advances in Diagnosis and Therapy of Neuroendocrine Neoplasms
Advances in Diagnosis and Therapy of Neuroendocrine Neoplasms
Autore Segelov Eva
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (144 p.)
Soggetto topico Medicine
Soggetto non controllato small bowel neuroendocrine tumours
pancreatic neuroendocrine tumours
liver metastases
midgut
meta-analysis
neuroendocrine tumors
carcinoid heart disease
carcinoid syndrome
somatostatin analogues
metastases
multidisciplinary
management
outcome
grading
staging
neuroendocrine neoplasms
chemotherapy
temozolomide
metronomic treatment
second-line
NOTCH
cancer-driven genes
mutational mechanism
germline mutations
small cell lung carcinoma
pancreatic NET
small bowel NET
medullary thyroid carcinoma
malignant castration-resistant prostatic cells
quality performance indicators
QPIs
cancer care
neuroendocrine tumour
NETs
modified Delphi
CommNETs
pancreatic neuroendocrine neoplasms
neuroendocrine tumor
long-term functional outcomes
pancreatectomy
diabetes mellitus
pancreatic exocrine insufficiency
body mass index
parenchyma-sparing surgery
neuroendocrine tumours
curative surgery
resection
follow-up
guidelines
relapse
recurrence
risk factor
mixed non-neuroendocrine neuroendocrine neoplasms
MiNENs
mixed adeno-neuroendocrine carcinoma
MANEC
2017 WHO classification
2019 WHO classification
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557692903321
Segelov Eva  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Application of Bioinformatics in Cancers
Application of Bioinformatics in Cancers
Autore Brenner J. Chad
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (418 p.)
Soggetto non controllato cancer treatment
extreme learning
independent prognostic power
AID/APOBEC
HP
gene inactivation biomarkers
biomarker discovery
chemotherapy
artificial intelligence
epigenetics
comorbidity score
denoising autoencoders
protein
single-biomarkers
gene signature extraction
high-throughput analysis
concatenated deep feature
feature selection
differential gene expression analysis
colorectal cancer
ovarian cancer
multiple-biomarkers
gefitinib
cancer biomarkers
classification
cancer biomarker
mutation
hierarchical clustering analysis
HNSCC
cell-free DNA
network analysis
drug resistance
hTERT
variable selection
KRAS mutation
single-cell sequencing
network target
skin cutaneous melanoma
telomeres
Neoantigen Prediction
datasets
clinical/environmental factors
StAR
PD-L1
miRNA
circulating tumor DNA (ctDNA)
false discovery rate
predictive model
Computational Immunology
brain metastases
observed survival interval
next generation sequencing
brain
machine learning
cancer prognosis
copy number aberration
mutable motif
steroidogenic enzymes
tumor
mortality
tumor microenvironment
somatic mutation
transcriptional signatures
omics profiles
mitochondrial metabolism
Bufadienolide-like chemicals
cancer-related pathways
intratumor heterogeneity
estrogen
locoregionally advanced
RNA
feature extraction and interpretation
treatment de-escalation
activation induced deaminase
knockoffs
R package
copy number variation
gene loss biomarkers
cancer CRISPR
overall survival
histopathological imaging
self-organizing map
Network Analysis
oral cancer
biostatistics
firehose
Bioinformatics tool
alternative splicing
biomarkers
diseases genes
histopathological imaging features
imaging
TCGA
decision support systems
The Cancer Genome Atlas
molecular subtypes
molecular mechanism
omics
curative surgery
network pharmacology
methylation
bioinformatics
neurological disorders
precision medicine
cancer modeling
miRNAs
breast cancer detection
functional analysis
biomarker signature
anti-cancer
hormone sensitive cancers
deep learning
DNA sequence profile
pancreatic cancer
telomerase
Monte Carlo
mixture of normal distributions
survival analysis
tumor infiltrating lymphocytes
curation
pathophysiology
GEO DataSets
head and neck cancer
gene expression analysis
erlotinib
meta-analysis
traditional Chinese medicine
breast cancer
TCGA mining
breast cancer prognosis
microarray
DNA
interaction
health strengthening herb
cancer
genomic instability
ISBN 3-03921-789-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367743403321
Brenner J. Chad  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui