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Molecular biology of neuroendocrine tumors: from pathways to biomarkers and targets

Capdevila, J.; Meeker, A.; Garcia-Carbonero, R.; Pietras, Kristian LU ; Astudillo, A.; Casanovas, O. and Scarpa, A. (2014) In Cancer Metastasis Review 33(1). p.345-351
Abstract
Neuroendocrine tumors (NETs) represent a heterogeneous group of diseases with varied natural history and prognosis depending upon the organ of origin and grade of aggressiveness. The most widely used biomarker to determine disease burden and monitor response to treatment is chromogranin A (CgA), but it is far from being the optimal predictive and prognostic biomarker in NETs. Biological understanding and derived treatment options for NETs have changed markedly in recent years. Over the last decade, the genomic landscape of these tumors has been extensively investigated. This has resulted in the discovery of mutations and expression anomalies in genes and pathways such as the PI3K/Akt/mTOR, DAXX/ATRX, and MEN1, which are promising... (More)
Neuroendocrine tumors (NETs) represent a heterogeneous group of diseases with varied natural history and prognosis depending upon the organ of origin and grade of aggressiveness. The most widely used biomarker to determine disease burden and monitor response to treatment is chromogranin A (CgA), but it is far from being the optimal predictive and prognostic biomarker in NETs. Biological understanding and derived treatment options for NETs have changed markedly in recent years. Over the last decade, the genomic landscape of these tumors has been extensively investigated. This has resulted in the discovery of mutations and expression anomalies in genes and pathways such as the PI3K/Akt/mTOR, DAXX/ATRX, and MEN1, which are promising predictive and prognostic biomarkers and future candidates for targeted therapies. Additionally, the study of tumor stroma and environment are one of the most promising fields for discovery of potential new targets and biomarkers. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Neuroendocrine tumors, Biomarker, Chromogranin A
in
Cancer Metastasis Review
volume
33
issue
1
pages
345 - 351
publisher
Springer
external identifiers
  • wos:000334423700020
  • scopus:84899941260
ISSN
0167-7659
DOI
10.1007/s10555-013-9468-y
language
English
LU publication?
yes
id
fcd303f4-1fba-43b9-bcc1-fc6e0f91edb5 (old id 4495847)
date added to LUP
2014-07-01 07:35:02
date last changed
2017-07-30 03:17:10
@article{fcd303f4-1fba-43b9-bcc1-fc6e0f91edb5,
  abstract     = {Neuroendocrine tumors (NETs) represent a heterogeneous group of diseases with varied natural history and prognosis depending upon the organ of origin and grade of aggressiveness. The most widely used biomarker to determine disease burden and monitor response to treatment is chromogranin A (CgA), but it is far from being the optimal predictive and prognostic biomarker in NETs. Biological understanding and derived treatment options for NETs have changed markedly in recent years. Over the last decade, the genomic landscape of these tumors has been extensively investigated. This has resulted in the discovery of mutations and expression anomalies in genes and pathways such as the PI3K/Akt/mTOR, DAXX/ATRX, and MEN1, which are promising predictive and prognostic biomarkers and future candidates for targeted therapies. Additionally, the study of tumor stroma and environment are one of the most promising fields for discovery of potential new targets and biomarkers.},
  author       = {Capdevila, J. and Meeker, A. and Garcia-Carbonero, R. and Pietras, Kristian and Astudillo, A. and Casanovas, O. and Scarpa, A.},
  issn         = {0167-7659},
  keyword      = {Neuroendocrine tumors,Biomarker,Chromogranin A},
  language     = {eng},
  number       = {1},
  pages        = {345--351},
  publisher    = {Springer},
  series       = {Cancer Metastasis Review},
  title        = {Molecular biology of neuroendocrine tumors: from pathways to biomarkers and targets},
  url          = {http://dx.doi.org/10.1007/s10555-013-9468-y},
  volume       = {33},
  year         = {2014},
}