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A targeted proteomi...
A targeted proteomics approach reveals a serum protein signature as diagnostic biomarker for resectable gastric cancer
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- Shen, Qiujin (författare)
- Uppsala universitet,Science for Life Laboratory, SciLifeLab,Molekylära verktyg
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- Polom, Karol (författare)
- Univ Siena, Dept Gen Surg & Surg Oncol, Siena, Italy;Gdansk Med Univ, Dept Surg Oncol, Gdansk, Poland
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- Williams, Coralie (författare)
- Ariana Pharmaceut, Paris, France
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- de Oliveira, Felipe Marques Souza (författare)
- Uppsala universitet,Institutionen för immunologi, genetik och patologi,Science for Life Laboratory, SciLifeLab
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- Guergova-Kuras, Mariana (författare)
- Ariana Pharmaceut, Paris, France
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- Lisacek, Frederique (författare)
- Swiss Inst Bioinformat, Proteome Informat Grp, Geneva, Switzerland;Univ Geneva, Comp Sci Dept, Geneva, Switzerland;Univ Geneva, Sect Biol, Geneva, Switzerland
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- Karlsson, Niclas G. (författare)
- Univ Gothenburg, Sahlgrenska Acad, Inst Biomed, Dept Med Biochem & Cell Biol, Gothenburg, Sweden
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- Roviello, Franco (författare)
- Univ Siena, Dept Gen Surg & Surg Oncol, Siena, Italy
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- Kamali-Moghaddam, Masood (författare)
- Uppsala universitet,Molekylära verktyg,Science for Life Laboratory, SciLifeLab
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(creator_code:org_t)
- Elsevier, 2019
- 2019
- Engelska.
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Ingår i: EBioMedicine. - : Elsevier. - 2352-3964. ; 44, s. 322-333
- Relaterad länk:
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https://doi.org/10.1...
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https://uu.diva-port... (primary) (Raw object)
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http://www.thelancet...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
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- 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, CDCPI, 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 pro-vided an increased diagnostic capacity in patients at TNMI-II stage (sensitivity 89%, specificity 100%, AUC 0.99) and in patients with high miaosatellite 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. (C) 2019 The Authors. Published by Elsevier B.V.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Immunologi inom det medicinska området (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Immunology in the medical area (hsv//eng)
Nyckelord
- Gastric cancer
- Diagnosis
- Biomarker
- PEA
- Proteomics
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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