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Protein Profiling Gastric Cancer and Neighboring Control Tissues Using High-Content Antibody Microarrays

In this study, protein profiling was performed on gastric cancer tissue samples in order to identify proteins that could be utilized for an effective diagnosis of this highly heterogeneous disease and as targets for therapeutic approaches. To this end, 16 pairs of postoperative gastric adenocarcinom...

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Autores principales: Sill, Martin, Schröder, Christoph, Shen, Ying, Marzoq, Aseel, Komel, Radovan, Hoheisel, Jörg D., Nienhüser, Henrik, Schmidt, Thomas, Kastelic, Damjana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5040966/
https://www.ncbi.nlm.nih.gov/pubmed/27600085
http://dx.doi.org/10.3390/microarrays5030019
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author Sill, Martin
Schröder, Christoph
Shen, Ying
Marzoq, Aseel
Komel, Radovan
Hoheisel, Jörg D.
Nienhüser, Henrik
Schmidt, Thomas
Kastelic, Damjana
author_facet Sill, Martin
Schröder, Christoph
Shen, Ying
Marzoq, Aseel
Komel, Radovan
Hoheisel, Jörg D.
Nienhüser, Henrik
Schmidt, Thomas
Kastelic, Damjana
author_sort Sill, Martin
collection PubMed
description In this study, protein profiling was performed on gastric cancer tissue samples in order to identify proteins that could be utilized for an effective diagnosis of this highly heterogeneous disease and as targets for therapeutic approaches. To this end, 16 pairs of postoperative gastric adenocarcinomas and adjacent non-cancerous control tissues were analyzed on microarrays that contain 813 antibodies targeting 724 proteins. Only 17 proteins were found to be differentially regulated, with much fewer molecules than the numbers usually identified in studies comparing tumor to healthy control tissues. Insulin-like growth factor-binding protein 7 (IGFBP7), S100 calcium binding protein A9 (S100A9), interleukin-10 (IL‐10) and mucin 6 (MUC6) exhibited the most profound variations. For an evaluation of the proteins’ capacity for discriminating gastric cancer, a Receiver Operating Characteristic curve analysis was performed, yielding an accuracy (area under the curve) value of 89.2% for distinguishing tumor from non-tumorous tissue. For confirmation, immunohistological analyses were done on tissue slices prepared from another cohort of patients with gastric cancer. The utility of the 17 marker proteins, and particularly the four molecules with the highest specificity for gastric adenocarcinoma, is discussed for them to act as candidates for diagnosis, even in serum, and targets for therapeutic approaches.
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spelling pubmed-50409662016-10-05 Protein Profiling Gastric Cancer and Neighboring Control Tissues Using High-Content Antibody Microarrays Sill, Martin Schröder, Christoph Shen, Ying Marzoq, Aseel Komel, Radovan Hoheisel, Jörg D. Nienhüser, Henrik Schmidt, Thomas Kastelic, Damjana Microarrays (Basel) Article In this study, protein profiling was performed on gastric cancer tissue samples in order to identify proteins that could be utilized for an effective diagnosis of this highly heterogeneous disease and as targets for therapeutic approaches. To this end, 16 pairs of postoperative gastric adenocarcinomas and adjacent non-cancerous control tissues were analyzed on microarrays that contain 813 antibodies targeting 724 proteins. Only 17 proteins were found to be differentially regulated, with much fewer molecules than the numbers usually identified in studies comparing tumor to healthy control tissues. Insulin-like growth factor-binding protein 7 (IGFBP7), S100 calcium binding protein A9 (S100A9), interleukin-10 (IL‐10) and mucin 6 (MUC6) exhibited the most profound variations. For an evaluation of the proteins’ capacity for discriminating gastric cancer, a Receiver Operating Characteristic curve analysis was performed, yielding an accuracy (area under the curve) value of 89.2% for distinguishing tumor from non-tumorous tissue. For confirmation, immunohistological analyses were done on tissue slices prepared from another cohort of patients with gastric cancer. The utility of the 17 marker proteins, and particularly the four molecules with the highest specificity for gastric adenocarcinoma, is discussed for them to act as candidates for diagnosis, even in serum, and targets for therapeutic approaches. MDPI 2016-07-08 /pmc/articles/PMC5040966/ /pubmed/27600085 http://dx.doi.org/10.3390/microarrays5030019 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sill, Martin
Schröder, Christoph
Shen, Ying
Marzoq, Aseel
Komel, Radovan
Hoheisel, Jörg D.
Nienhüser, Henrik
Schmidt, Thomas
Kastelic, Damjana
Protein Profiling Gastric Cancer and Neighboring Control Tissues Using High-Content Antibody Microarrays
title Protein Profiling Gastric Cancer and Neighboring Control Tissues Using High-Content Antibody Microarrays
title_full Protein Profiling Gastric Cancer and Neighboring Control Tissues Using High-Content Antibody Microarrays
title_fullStr Protein Profiling Gastric Cancer and Neighboring Control Tissues Using High-Content Antibody Microarrays
title_full_unstemmed Protein Profiling Gastric Cancer and Neighboring Control Tissues Using High-Content Antibody Microarrays
title_short Protein Profiling Gastric Cancer and Neighboring Control Tissues Using High-Content Antibody Microarrays
title_sort protein profiling gastric cancer and neighboring control tissues using high-content antibody microarrays
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5040966/
https://www.ncbi.nlm.nih.gov/pubmed/27600085
http://dx.doi.org/10.3390/microarrays5030019
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