Sabiye YILMAZ, Murat KASAP, Dilek URAL, Hüseyin GÜNDÜZ

Malign Perikard efüzyonunda Proteomiks analizi ve malignite ilişkili protein profilinin belirlenmesi

Amaç: Akciğer kanserine bağlı perikard efüzyonunda protein içeriğinin proteomiks analizi,ilişkili olabilecek yeni biyobelirteçlerin araştırılması ve proteomiks çalışmalarına genel bakış.Yöntemler: 5 hasta (4 adenokarsinom, 1 büyük hücreli), 5 kontrol (CABC uygulanan) perikard efüzyonu çalışmaya dahil edildi. Hasta grubu yaş ortalaması 47,4±7,92 olan 5 erkekten; kontrol grubu yaş ortalaması 63,4±7.7 olan 4 erkek, 1 bayandan oluşmaktaydı. Örnekler -80ºC'de saklandı. 2-D jel elektroforezinde proteinler izoelektrik noktalarına ve moleküler ağırlıklarına göre ayrıldı. Elde edilen jeller Coomasia boyası ile boyanarak protein spotları açığa çıkarıldı. Görüntü analizi Melanie 7 Viewer programı ile yapıldı. Protein spotları öncelikle görsel olarak değerlendirildi, upregülasyona veya downregülasyona uğrayan proteinler saptandı. Proteinlerin tanımlanabilmesi için data analiz metodu halihazırda bulunmadığından proteinler tanımlanamadı. Ancak Melanie 7 programı ile her bir jeldeki protein spotları işaretlendi, birbirleriyle ve normal insan plazmasının 2-D jelindeki protein spotları ile moleküler ağırlıklarına göre karşılaştırıldı.Bulgular: Malign efüzyonlarda daha fazla proteinin salındığı, plazma ve serumda bulunan proteinlerle benzer olduğu görüldü. Saptanan proteinlerin yeni bir biyobelirteç olma olasılığının düşük olmasına rağmen KAH grubunda olmaması malin efüzyonlarda hedef molekül olarak olası ilaç tedavisi için yol gösterici olabilirdi. Çalışmada proteinlerin isimlendirilmesi yapılamamış, fonksiyon ve varlığı ile ilgili net bir karar birliğine varılamamış olsa da bu veriler malign perikardiyal efüzyonlarda proteomiks analizinin genişletilerek devam edilmesini destekler.Sonuç: Tümör hücrelerinin salgıladığı proteinler tümör yükünü, tedaviye verdiği cevabı gösterebilir ve gelecekte güçlü, ümit verici tümör belirteçi olabilir. Tanı, tedavinin belirlenmesi ve prognoz tayininde kullunılabilinir. Proteomiks alanında her geçen gün gelişmeler artmaktadır, daha güçlü data analiz programları geliştirilmektedir. Gelecekte sensitivitesi ve spesifisitesi artmış protein biyobelirteçleri bulunabilecektir.

Anahtar Kelimeler:

Proteomiks, perikard efüzyonu; malignite; biyobelirteç; kardiyovasküler hastalıklar ve proteomiks

Proteomics analysis of malignant pericardial effusion and determine the profile of malignancy-associated protein

Objective: We want to analyse protein content by proteomics of pericardial effusion due to lung cancer, finding new biomarker and overview of proteomics studies.Methods: 5 patients (4 adenocarcinoma, one large cell), 5 control (CABC applied) pericardial effusion were included in the study. The mean age of patients group 47.4 ± 7.92 with 5 men; the mean age of the control group 63.4 ± 7.7 with 4 men, consisted of one lady. Specimens were keeped at -80ºC. 2-D gel electrophoresis of proteins based on isoelectric points and molecular weights. Obtained gels were stained with Coomasia stain and protein spots displayed. Image analyses were made by Melanie Viewer program. Protein spots were evaluated visually. Upregulation and downregulation proteins were evaluated. We don\'t have data analyse method for protein description, proteins weren\'t identification. Ptotein spots were marked with Melanie 7 program,they were compared with each other and normal human plasma protein spots according to the molecular weights.Results: We found much more protein in malign pericardial effusion.These proteins were similar to serum plasma proteins. Identified proteins mayn't be new biomarker,also these proteins weren't founded in CAD. Because of this it can be guide for medication thearpy. We didn't entitle proteins but these datas strenghten protein proteomics analyses in malign pericardial effusions.Conclusion: Proteins secreted by tumor cells display tumor load, response to treatment and can be used for diagnosis, treatment modalities, prognosis analysis. Developments increase in proteomics field and much more strong data analyse programs were improved. With these improvements more sensitive and specific protein biomarkers can be discovered.

Keywords:

Proteomics, pericardial effusion; malignancy; biomarkers; cardiovascular diseases and proteomics,

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