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PMID: 27700103 Published · aheadofprint English

Identification Of A Novel Autoimmune Peptide Epitope Of Prostein In Prostate Cancer.

Pin Elisa, Henjes Frauke, Hong Mun-Gwan, Wiklund Fredrik, Magnusson Patrik, Bjartell Anders, Uhlén Mathias, Nilsson Peter, Schwenk Jochen M

Abstract

There is a demand for novel targets and approaches to diagnose and treat prostate cancer (PCA). In this context, serum and plasma samples from a total of 609 individuals from two independent patient cohorts were screened for IgG reactivity against a sum of 3,833 human protein fragments. Starting from planar protein arrays with 3,786 protein fragments to screen 80 patients with and without PCA diagnosis, 161 fragments (4%) were chosen for further analysis based on their reactivity profiles. Adding 71 antigens from literature, the selection of antigens were corroborated for their reactivity in a set of 550 samples using suspension bead arrays. The antigens prostein (SLC45A3), TATA-box binding protein (TBP) and insulin-like growth factor 2 mRNA binding protein 2 (IGF2BP2) showed higher reactivity in PCA patients with late disease compared to early disease. Due to its prostate tissue specificity, we focused on prostein and continued with mapping epitopes of the 66-mer protein fragment using patient samples. Using bead-based assays and 15-mer peptides, a minimal peptide epitope was identified and refined by alanine-scanning to the KPxAPFP. Further sequence alignment of this motif revealed homology to transmembrane protein 79 (TMEM79) and TGF-beta-induced factor 2 (TGIF2), thus providing a reasoning for cross-reactivity found in females. A comprehensive workflow to discover and validated IgG reactivity against prostein and homologous targets in human serum and plasma was applied. This study provides useful information when searching for novel biomarkers or drug targets that are guided by the reactivity of the immune system against autoantigens.

Article Info
Journal
Journal of proteome research
Abbr.
J Proteome Res
Published
0000-00-00
Indexed
2016-10-04
Updated
2016-10-05
Language
English
Country/Region
United States
NLM ID
101128775
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