{"entity": "publication", "iuid": "8746bc260c4e49689b14b1862831b96c", "timestamp": "2026-09-23T17:47:10.782Z", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/8746bc260c4e49689b14b1862831b96c.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/8746bc260c4e49689b14b1862831b96c"}}, "title": "A targeted proteomics approach reveals a serum protein signature as diagnostic biomarker for resectable gastric cancer.", "authors": [{"family": "Shen", "given": "Qiujin", "initials": "Q"}, {"family": "Polom", "given": "Karol", "initials": "K"}, {"family": "Williams", "given": "Coralie", "initials": "C"}, {"family": "de Oliveira", "given": "Felipe Marques Souza", "initials": "FMS"}, {"family": "Guergova-Kuras", "given": "Mariana", "initials": "M"}, {"family": "Lisacek", "given": "Frederique", "initials": "F"}, {"family": "Karlsson", "given": "Niclas G", "initials": "NG"}, {"family": "Roviello", "given": "Franco", "initials": "F"}, {"family": "Kamali-Moghaddam", "given": "Masood", "initials": "M"}], "type": "journal article", "published": "2019-06-00", "journal": {"title": "EBioMedicine", "issn": "2352-3964", "volume": "44", "pages": "322-333", "issn-l": "2352-3964"}, "abstract": "Gastric cancer (GC) is the third leading cause of cancer death. Early detection is a key factor to reduce its mortality.\n\nWe retrospectively collected pre- and postoperative serum samples as well as tumour tissues and adjacent normal tissues from 100 GC patients. Serum samples from non-cancerous patients were served as controls (n = 50). A high-throughput protein detection technology, multiplex proximity extension assays (PEA), was applied to measure levels of over 300 proteins. Alteration of each protein was analysed by univariate analysis. Elastic-net logistic regression was performed to select serum proteins into the diagnostic model.\n\nWe identified 19 serum proteins (CEACAM5, CA9, MSLN, CCL20, SCF, TGF-alpha, MMP-1, MMP-10, IGF-1, CDCP1, PPIA, DDAH-1, HMOX-1, FLI1, IL-7, ZBTB-17, APBB1IP, KAZALD-1, and ADAMTS-15) that together distinguish GC cases from controls with a diagnostic sensitivity of 93%, specificity of 100%, and area under receiver operating characteristic curve (AUC) of 0\u00b799 (95% CI: 0\u00b798-1). Moreover, the 19-serum protein signature provided an increased diagnostic capacity in patients at TNM I-II stage (sensitivity 89%, specificity 100%, AUC 0\u00b799) and in patients with high microsatellite instability (MSI) (91%, 98%, and 0\u00b799) compared to individual proteins. These promising results will inspire a large-scale independent cohort study to be pursued for validating the proposed protein signature.\n\nBased on targeted proteomics and elastic-net logistic regression, we identified a 19-serum protein signature which could contribute to clinical GC diagnosis, especially for patients at early stage and those with high MSI. FUND: This study was supported by a European H2020-Marie Sk\u0142odowska-Curie Innovative Training Networks grant (316,929, GastricGlycoExplorer). Funder had no influence on trial design, data evaluation, and interpretation.", "doi": "10.1016/j.ebiom.2019.05.044", "pmid": "31151932", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC6606959"}, {"db": "pii", "key": "S2352-3964(19)30352-4"}], "notes": [], "created": "2026-09-23T07:46:44.308Z", "modified": "2026-09-23T07:46:44.327Z"}