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Identification of Candidate Serum Proteins for Classifying Well-Differentiated Small Intestinal Neuroendocrine Tumors
KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
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2013 (English)In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 8, no 11, e81712- p.Article in journal (Refereed) Published
Abstract [en]

Background: 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. Materials and Methods: 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. Results: 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, IL1 alpha, STX2, MAML3, EGR3 and XIAP were verified as significant contributors to tumor classification. Conclusions: 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.

Place, publisher, year, edition, pages
2013. Vol. 8, no 11, e81712- p.
Keyword [en]
Growth-Factor, Cells, Expression, Biomarkers, Resistance, Proteomics, Profiles, Arrays, Heat, IGF1
National Category
Medical Biotechnology
Identifiers
URN: urn:nbn:se:kth:diva-139205DOI: 10.1371/journal.pone.0081712ISI: 000327543500120Scopus ID: 2-s2.0-84896701174OAI: oai:DiVA.org:kth-139205DiVA: diva2:686781
Funder
Science for Life Laboratory - a national resource center for high-throughput molecular bioscienceKnut and Alice Wallenberg Foundation
Note

QC 20140113

Available from: 2014-01-13 Created: 2014-01-08 Last updated: 2017-12-06Bibliographically approved

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Schwenk, Jochen M.

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Drobin, KimiNilsson, PeterSchwenk, Jochen M.
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