Identification of candidate serum proteins for classifying well-differentiated small intestinal neuroendocrine tumors.

<h4>Background</h4>Patients with well-differentiated small intestine neuroendocrine tumors (WD-SI-NETs) are most often diagnosed at a metastatic stage of disease, which reduces possibilities for a curative treatment. Thus new approaches for earlier detection and improved monitoring of th...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Spyros Darmanis, Tao Cui, Kimi Drobin, Su-Chen Li, Kjell Öberg, Peter Nilsson, Jochen M Schwenk, Valeria Giandomenico
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2013
Materias:
R
Q
Acceso en línea:https://doaj.org/article/95213b45ed6941ebb03e9d951ad2a751
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:95213b45ed6941ebb03e9d951ad2a751
record_format dspace
spelling oai:doaj.org-article:95213b45ed6941ebb03e9d951ad2a7512021-11-18T08:44:46ZIdentification of candidate serum proteins for classifying well-differentiated small intestinal neuroendocrine tumors.1932-620310.1371/journal.pone.0081712https://doaj.org/article/95213b45ed6941ebb03e9d951ad2a7512013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24282616/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Patients with well-differentiated small intestine neuroendocrine tumors (WD-SI-NETs) are most often diagnosed at a metastatic stage of disease, which reduces possibilities for a curative treatment. Thus new approaches for earlier detection and improved monitoring of the disease are required.<h4>Materials and methods</h4>Suspension bead arrays targeting 124 unique proteins with antibodies from the Human Protein Atlas were used to profile biotinylated serum samples. Discoveries from a cohort of 77 individuals were followed up in a cohort of 132 individuals both including healthy controls as well as patients with untreated primary WD-SI-NETs, lymph node metastases and liver metastases.<h4>Results</h4>A set of 20 antibodies suggested promising proteins for further verification based on technically verified statistical significance. Proceeding, we assessed the classification performance in an independent cohort of patient serum, achieving, classification accuracy of up to 85% with different subsets of antibodies in respective pairwise group comparisons. The protein profiles of nine targets, namely IGFBP2, IGF1, SHKBP1, ETS1, IL1α, STX2, MAML3, EGR3 and XIAP were verified as significant contributors to tumor classification.<h4>Conclusions</h4>We propose new potential protein biomarker candidates for classifying WD-SI-NETs at different stage of disease. Further evaluation of these proteins in larger sample sets and with alternative approaches is needed in order to further improve our understanding of their functional relation to WD-SI-NETs and their eventual use in diagnostics.Spyros DarmanisTao CuiKimi DrobinSu-Chen LiKjell ÖbergPeter NilssonJochen M SchwenkValeria GiandomenicoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 11, p e81712 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Spyros Darmanis
Tao Cui
Kimi Drobin
Su-Chen Li
Kjell Öberg
Peter Nilsson
Jochen M Schwenk
Valeria Giandomenico
Identification of candidate serum proteins for classifying well-differentiated small intestinal neuroendocrine tumors.
description <h4>Background</h4>Patients with well-differentiated small intestine neuroendocrine tumors (WD-SI-NETs) are most often diagnosed at a metastatic stage of disease, which reduces possibilities for a curative treatment. Thus new approaches for earlier detection and improved monitoring of the disease are required.<h4>Materials and methods</h4>Suspension bead arrays targeting 124 unique proteins with antibodies from the Human Protein Atlas were used to profile biotinylated serum samples. Discoveries from a cohort of 77 individuals were followed up in a cohort of 132 individuals both including healthy controls as well as patients with untreated primary WD-SI-NETs, lymph node metastases and liver metastases.<h4>Results</h4>A set of 20 antibodies suggested promising proteins for further verification based on technically verified statistical significance. Proceeding, we assessed the classification performance in an independent cohort of patient serum, achieving, classification accuracy of up to 85% with different subsets of antibodies in respective pairwise group comparisons. The protein profiles of nine targets, namely IGFBP2, IGF1, SHKBP1, ETS1, IL1α, STX2, MAML3, EGR3 and XIAP were verified as significant contributors to tumor classification.<h4>Conclusions</h4>We propose new potential protein biomarker candidates for classifying WD-SI-NETs at different stage of disease. Further evaluation of these proteins in larger sample sets and with alternative approaches is needed in order to further improve our understanding of their functional relation to WD-SI-NETs and their eventual use in diagnostics.
format article
author Spyros Darmanis
Tao Cui
Kimi Drobin
Su-Chen Li
Kjell Öberg
Peter Nilsson
Jochen M Schwenk
Valeria Giandomenico
author_facet Spyros Darmanis
Tao Cui
Kimi Drobin
Su-Chen Li
Kjell Öberg
Peter Nilsson
Jochen M Schwenk
Valeria Giandomenico
author_sort Spyros Darmanis
title Identification of candidate serum proteins for classifying well-differentiated small intestinal neuroendocrine tumors.
title_short Identification of candidate serum proteins for classifying well-differentiated small intestinal neuroendocrine tumors.
title_full Identification of candidate serum proteins for classifying well-differentiated small intestinal neuroendocrine tumors.
title_fullStr Identification of candidate serum proteins for classifying well-differentiated small intestinal neuroendocrine tumors.
title_full_unstemmed Identification of candidate serum proteins for classifying well-differentiated small intestinal neuroendocrine tumors.
title_sort identification of candidate serum proteins for classifying well-differentiated small intestinal neuroendocrine tumors.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/95213b45ed6941ebb03e9d951ad2a751
work_keys_str_mv AT spyrosdarmanis identificationofcandidateserumproteinsforclassifyingwelldifferentiatedsmallintestinalneuroendocrinetumors
AT taocui identificationofcandidateserumproteinsforclassifyingwelldifferentiatedsmallintestinalneuroendocrinetumors
AT kimidrobin identificationofcandidateserumproteinsforclassifyingwelldifferentiatedsmallintestinalneuroendocrinetumors
AT suchenli identificationofcandidateserumproteinsforclassifyingwelldifferentiatedsmallintestinalneuroendocrinetumors
AT kjelloberg identificationofcandidateserumproteinsforclassifyingwelldifferentiatedsmallintestinalneuroendocrinetumors
AT peternilsson identificationofcandidateserumproteinsforclassifyingwelldifferentiatedsmallintestinalneuroendocrinetumors
AT jochenmschwenk identificationofcandidateserumproteinsforclassifyingwelldifferentiatedsmallintestinalneuroendocrinetumors
AT valeriagiandomenico identificationofcandidateserumproteinsforclassifyingwelldifferentiatedsmallintestinalneuroendocrinetumors
_version_ 1718421397185757184