دورية أكاديمية
A targeted proteomics approach reveals a serum protein signature as diagnostic biomarker for resectable gastric cancerResearch in context
العنوان: | A targeted proteomics approach reveals a serum protein signature as diagnostic biomarker for resectable gastric cancerResearch in context |
---|---|
المؤلفون: | Qiujin Shen, Karol Polom, Coralie Williams, Felipe Marques Souza de Oliveira, Mariana Guergova-Kuras, Frederique Lisacek, Niclas G. Karlsson, Franco Roviello, Masood Kamali-Moghaddam |
المصدر: | EBioMedicine, Vol 44, Iss , Pp 322-333 (2019) |
بيانات النشر: | Elsevier, 2019. |
سنة النشر: | 2019 |
المجموعة: | LCC:Medicine LCC:Medicine (General) |
مصطلحات موضوعية: | Medicine, Medicine (General), R5-920 |
الوصف: | Background: Gastric cancer (GC) is the third leading cause of cancer death. Early detection is a key factor to reduce its mortality. Methods: We 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. Findings: We 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 0·99 (95% CI: 0·98–1). Moreover, the 19-serum protein signature provided an increased diagnostic capacity in patients at TNM I-II stage (sensitivity 89%, specificity 100%, AUC 0·99) and in patients with high microsatellite instability (MSI) (91%, 98%, and 0·99) compared to individual proteins. These promising results will inspire a large-scale independent cohort study to be pursued for validating the proposed protein signature. Interpretation: Based 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 Skłodowska-Curie Innovative Training Networks grant (316,929, GastricGlycoExplorer). Funder had no influence on trial design, data evaluation, and interpretation. Keywords: Gastric cancer, Diagnosis, Biomarker, PEA, Proteomics |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2352-3964 |
Relation: | http://www.sciencedirect.com/science/article/pii/S2352396419303524; https://doaj.org/toc/2352-3964 |
DOI: | 10.1016/j.ebiom.2019.05.044 |
URL الوصول: | https://doaj.org/article/c5de3c81eb81402798ead55e42684e81 |
رقم الأكسشن: | edsdoj.5de3c81eb81402798ead55e42684e81 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 23523964 |
---|---|
DOI: | 10.1016/j.ebiom.2019.05.044 |