Serum Amyloid A and Lipoprotein Associated Phospholipase A(2) Levels in Patients with Malign Melanoma: Correlations with Clinical Assessment and Stage

Basit Öğe Kaydı
dc.contributor.authorKayas, Yavuz
dc.contributor.authorSagin, Ferhan
dc.contributor.authorAkcay, Yasemin
dc.contributor.authorYenipazar, Gizem Kocabas
dc.contributor.authorAzarsiz, Elif
dc.contributor.authorSozmen, Eser
dc.contributor.authorOzdemir, Fezal
dc.contributor.authorKaraarslan, Isil
dc.date.accessioned2019-10-27T10:03:05Z
dc.date.available2019-10-27T10:03:05Z
dc.date.issued2018
dc.departmentEge Üniversitesien_US
dc.description.abstractObjective: The lack of validated, sensitive, and specific biomarkers for early diagnosis and follow-up of patients with malign melanoma (MM) is a major problem today. In this study, we aimed to investigate the correlations of two inflammatory biomarkers-serum amyloid A (SAA) and lipoprotein associated phospholipase A 2 (Lp-PLA(2))-in clinical follow-up and staging of MM. Methods: Lactate dehydrogenase (LDH) and C-reactive protein (CRP) (Routine), SAA and S100B (ELISA), and Lp-PLA(2) (PLAC (R) Test) activity levels were examined in histologically and clinically confirmed MM patients (n=131) and in healthy controls (n=27). Results: Sedimentation rate and LDH, CRP, S100B, SAA, Lp-PLA(2) activities were found to be significantly higher in MM patients compared to control group (p<0.05). SAA showed the strongest correlation with disease stage (Spearman's correlation coefficient=0.622, p=0.000). Receiver operating characteristic analysis revealed that SAA exhibited the largest area under the curve=0.984, p=0.000, highest sensitivity (95%) and specificity (93%). Pearson's test indicated a weak positive correlation between SAA levels and Lp-PLA(2) activity (r=0.311, p=0.000). Conclusion: This is the first study to evaluate the activity of inflammatory biomarker Lp-PLA(2) in melanoma patients. Both SAA and Lp-PLA(2) were in highest levels in stage 4 patients, and they are thought to be candidate biomarkers to be used in detecting tumor progression. According to our results, SAA is the biomarker which correlates best with disease stage in MM.en_US
dc.description.sponsorshipEge University Research Project Fund [Tip-076]en_US
dc.description.sponsorshipThis work was funded by a fund from Ege University Research Project Fund (Tip-076).en_US
dc.identifier.doi10.4274/tdd.3643
dc.identifier.endpage142en_US
dc.identifier.issn1307-7635
dc.identifier.issn1308-5255
dc.identifier.issn1307-7635en_US
dc.identifier.issn1308-5255en_US
dc.identifier.issue3en_US
dc.identifier.startpage135en_US
dc.identifier.urihttps://doi.org/10.4274/tdd.3643
dc.identifier.urihttps://hdl.handle.net/11454/30069
dc.identifier.volume12en_US
dc.identifier.wosWOS:000443333400004en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherGalenos Yayinciliken_US
dc.relation.ispartofTurk Dermatoloji Dergisi-Turkish Journal of Dermatologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMelanomaen_US
dc.subjectprognosisen_US
dc.subjectserum amyloid Aen_US
dc.subjectlipoprotein associated phospholipase A(2)en_US
dc.subjectinflammationen_US
dc.subjectbiomarkeren_US
dc.titleSerum Amyloid A and Lipoprotein Associated Phospholipase A(2) Levels in Patients with Malign Melanoma: Correlations with Clinical Assessment and Stageen_US
dc.typeArticleen_US

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