Protein profiling gastric cancer and neighboring control tissues using high-content antibody microarrays

Sill, Martin (author), Schröder, Christoph (author), Shen, Ying (author), Marzoq, Aseel (author), Komel, Radovan (author), Hoheisel, Jörg (author), Nienhüser, Henrik (author), Schmidt, Thomas (author), Kastelic, Damjana (author)

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.

• Language: English
• Keywords: gastric cancer, adenocarcinoma, biomarker identification, affinity based proteomics, antibody microarrays
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: MF - Faculty of Medicine
• Publication status: Published
• Publication version: Version of Record
• Year: 2016
• Number of pages: 12 str.
• Numbering: Vol. 5, iss. 3, art. 19
• PID: 20.500.12556/RUL-131546
• UDC: 616-006
• ISSN on article: 2076-3905
• DOI: 10.3390/microarrays5030019
• COBISS.SI-ID: 32738265
• Publication date in RUL: 29.09.2021

Record is a part of a journal

• Title: Microarrays
• Shortened title: Microarrays
• Publisher: MDPI
• ISSN: 2076-3905
• COBISS.SI-ID: 519984921

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
• Licensing start date: 01.09.2016

Secondary language

• Language: Slovenian
• Keywords: rak želodca, adenokarcinom, identifikacija biomarkerjev