Unmet medical needs in pulmonary neuroendocrine (carcinoid) neoplasms
File(s)Umet needs in G3- enets-v 311017.docx (316.44 KB)
Accepted version
Author(s)
Type
Journal Article
Abstract
Pulmonary carcinoids (PCs) display the common features of all well-differentiated neuroendocrine neoplasms (NEN) and are classified as low- and intermediate-grade malignant tumours (i.e. typical (TC) and atypical carcinoid (AC), respectively). There is a paucity of randomised studies dedicated to advanced PCs and management principles are drawn from the larger gastroenteropancreatic (GEP) NEN experience. There is growing evidence that NEN anatomic subgroups have different biology and different responses to treatment and, therefore, should be investigated as separate entities in clinical trials. In this review, we discuss the existing evidence and limitations of tumour classification, diagnostics and staging, prognostication and treatment in the setting of PC with focus on unmet medical needs and directions for the future.
Date Issued
2019-01-01
Date Acceptance
2018-09-16
Citation
Neuroendocrinology, 2019, 108 (1), pp.7-17
ISSN
0028-3835
Publisher
Karger Publishers
Start Page
7
End Page
17
Journal / Book Title
Neuroendocrinology
Volume
108
Issue
1
Copyright Statement
©2018 S. Karger AG, Basel
Sponsor
Dr. Heinz-Horst Deichmann Stiftung
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/30248673
PII: 000493980
Grant Number
n/a
Subjects
Science & Technology
Life Sciences & Biomedicine
Endocrinology & Metabolism
Neurosciences
Neurosciences & Neurology
Pulmonary carcinoids
Bronchial carcinoid tumours
Neuroendocrine neoplasms
NET
RECEPTOR RADIONUCLIDE THERAPY
ENETS CONSENSUS GUIDELINES
ECTOPIC ACTH SYNDROME
CLINICAL-FEATURES
CUSHINGS-SYNDROME
CHROMOGRANIN-A
SOMATOSTATIN RECEPTORS
EUROPEAN ASSOCIATION
PROLIFERATIVE INDEX
PROGNOSTIC-FACTORS
Bronchial carcinoid tumours
NET
Neuroendocrine neoplasms
Pulmonary carcinoids
ENETS 2016 Munich Advisory Board Participants
ENETS 2016 Munich Advisory Board Participants
Endocrinology & Metabolism
1103 Clinical Sciences
1109 Neurosciences
Publication Status
Published
Coverage Spatial
Switzerland
Date Publish Online
2018-09-24