An efficient biomarker panel for diagnosis of breast cancer using surface-enhanced laser desorption ionization time-of-flight mass spectrometry

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dc.authorid0000-0002-0675-1839
dc.contributor.authorYiğitbaşı, Türkan
dc.contributor.authorÇalıbaşı-Kocal, Gizem
dc.contributor.authorBüyükuslu, Nihal
dc.contributor.authorAtahan, Murat Kemal
dc.contributor.authorKüpeli, Hakan
dc.contributor.authorYiğit, Seyran
dc.contributor.authorTarcan, Ercüment
dc.contributor.authorBaskın, Yasemin
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:50:49Z
dc.date.available10.07.201910:49:13
dc.date.available2019-07-10T19:50:49Z
dc.date.issued2018
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi, Temel Tıp Bilimleri Bölümü, Tıbbi Biyokimya Ana Bilim Dalı
dc.departmentİstanbul Medipol Üniversitesi, Sağlık Bilimleri Fakültesi, Beslenme ve Diyetetik Bölümü
dc.descriptionWOS: 000430743600009
dc.descriptionPubMed ID: 29456844
dc.description.abstractBreast cancer (BC) is the most frequently diagnosed cancer that affects women worldwide. Early detection of BC is important to improve survival rates and decrease mortality. The aim of the present study was to investigate serum biomarkers using surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS) to distinguish patients with BC from the healthy population and patients with benign breast diseases (BBDs). A total of 62 patients with invasive ductal carcinoma, as confirmed by histopathology, and 47 non-cancerous individuals (NCIs) [16 healthy controls (HCs) and 31 patients with BBD] were enrolled in the present study. Serum protein profiles were determined by SELDI-TOF-MS using an immobilized metal affinity capture array. Serum from patients with BC were compared with that from the HC group using univariate and multivariate statistical analyses. A total of 118 clusters were generated from the individual serum. Univariate analysis revealed that 5 peaks were significantly downregulated (m/z 1,452, 2,670, 3,972, 5,354 and 5,523; P<0.001) and 4 were upregulated (m/z 6,850, 7,926, 8,115 and 8,143; P<0.001) in patients with BC compared with the HC group. A comparison of patients with BC and patients with BBD revealed an additional 9 protein peaks. Among these, 3 peaks (m/z 3,972, 5,336 and 11,185) were significantly downregulated and 6 peaks (m/z 4,062, 4,071, 4,609, 6,850, 8,115 and 8,133) were significantly upregulated. A total of 3 peaks [mass-to-change ratio (m/z) 3,972, 6,850 and 8,115 (BC2)] were common in both sets. The results of the present study suggest that a 4 protein peak set [m/z 3,972, 6,850 and 8,115 (BC2) and 8,949 (BC3)] could be used to distinguish patients with BC from NCI.
dc.identifier.citationYiğitbaşı, T., Çalıbaşı-Kocal, G., Büyükuslu, N., Atahan, M., Küpeli, H., Yiğit, S. ... Baskın, Y. (2018). An efficient biomarker panel for diagnosis of breast cancer using surface-enhanced laser desorption ionization time-of-flight mass spectrometry. Biomedical Reports, 8(3), 269-274. https://dx.doi.org/10.3892/br.2018.1042
dc.identifier.doi10.3892/br.2018.1042
dc.identifier.endpage274
dc.identifier.issn2049-9434
dc.identifier.issn2049-9442
dc.identifier.issue3
dc.identifier.scopusqualityQ1
dc.identifier.startpage269
dc.identifier.urihttps://dx.doi.org/10.3892/br.2018.1042
dc.identifier.urihttps://hdl.handle.net/20.500.12511/2082
dc.identifier.volume8
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpandidos Publications Ltd
dc.relation.ispartofBiomedical Reportsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBreast Cancer
dc.subjectEarly Diagnosis
dc.subjectBiomarker
dc.subjectProteomics
dc.subjectSurface-Enhanced Laser Desorption Ionization Time-Of-Flight Mass Spectrometry
dc.titleAn efficient biomarker panel for diagnosis of breast cancer using surface-enhanced laser desorption ionization time-of-flight mass spectrometry
dc.typeArticle

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