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Background: Different methods of diagnosis have been found to be inefficient in terms of screening and early diagnosis of lung cancer. Cancer cells produce proteins whose serum levels may be elevated during the early stages of cancer development. Therefore, those proteins may be recognized as potential cancer markers. The aim of this study was to differentiate healthy individuals and lung cancer cases by analyzing their serum protein profiles and evaluate the efficacy of this method in the early diagnosis of lung cancer. Materials and Methods: 170 patients with lung cancer, 53 under high risk of lung cancer, and 47 healthy people were included in our study. Proteomic analysis of the samples was performed with the SELDI-TOF-MS approach. Results: The most discriminatory peak of the high risk group was 8141. When tree classification analysis was performed between lung cancer and the healthy control group, 11547 was determined as the most discriminatory peak, with a sensitivity of 85.5%, a specificity of 89.4%, a positive predictive value (PPV) of 96.7% and a negative predictive value (NPV) of 62.7%. Conclusions: We determined three different protein peaks 11480, 11547 and 11679 were only present in the lung cancer group. The 8141 peak was found in the high-risk group, but not in the lung cancer and control groups. These peaks may prove to be markers of lung cancer which suggests that they may be used in the early diagnosis of lung cancer.

A AB BS ST TR RA AC CT T O Ob bj je ec ct ti iv ve e: : Although proteomic profiles detected by using SELDI-TOF-MS method distinguish lung cancer patients from healthy individuals, there are no studies concerning proteomic patterns of tumor subsets in lung cancer. The goal of this study was to establish proteomic patterns of tumor subsets in lung cancer patients with surface enhanced laser desabsorbtion ionization time of flight mass spectrometry (SELDI-TOF-MS) method. M Ma at te er ri ia al l a an nd d M Me et th ho od ds s: : A total of 169 patients diagnosed histopathologically including 142 non-small cell lung cancer (NSCLC) and 27 small cell lung cancer (SCLC) patients were included in this study. In NSCLC group, there were 60 squamous cell carcinoma, 38 non-squamous cell carcinoma and 44 unclassified type NSCLC patients. Venous blood samples were obtained from all cases. All of the serum samples were analyzed by SELDI-TOF-MS method for proteomics investigation. R Re es su ul lt ts s: : Three peaks (9065 m/z, 9175 m/z, 9394 m/z) were found to be discriminatory in serum SELDI profiles between NSCLC and SCLC groups (p<0.05). All of these three peaks showed higher intensity in patients with SCLC. The analysis between non-squamous and squamous cancer groups of NSCLC revealed eight discriminatory proteomic features. Among these peaks, only two (5815 m/z, 5906 m/z) showed higher intensity in patients in the non-squamous group (p<0.05). C Co on nc cl lu us si io on n: : Proteomic patterns could provide some valuable clues on the carcinogenetic mechanism of different types of lung cancer and may help us to discover some potential subtype-specific biomarkers of lung cancer by SELDI-TOF-MS method.K Ke ey y W Wo or rd ds s: : Lung neoplasms; proteomics; spectrometry, mass, matrix-assisted laser desorption-ionization Ö ÖZ ZE ET T A Am ma aç ç: : SELDI-TOF-MS yöntemi ile tespit edilen proteomik pikler akciğer kanserini sağlıklı kişilerden ayırt edebilmesine rağmen akciğer kanserinin alt tiplerinin proteomik paternleri hakkında çalışma yoktur. Çalışmanın amacı; akciğer kanserli olguların serum örneklerinde SELDI-TOF-MS yöntemi ile serum protein profillerinin analizlerini yaparak akciğer kanserli olgularda histolojik tip ile serum protein profilleri arasındaki ilişkiyi değer-lendirmektir. G Ge er re eç ç v ve e Y Yö ön nt te em ml le er r: : Histopatolojik olarak akciğer kanseri tanısı almış142 küçük hücreli dışı akciğer kanserli (KHDAK) hasta, 27 küçük hücreli akciğer kanserli (KHAK) hasta olmak üzere toplam 169 hasta çalışmaya alındı. KHDAK'li grup içerisinde 60 skuamöz hücreli, 38 non-skuamöz hücreli ve 44 tip ayrımı yapılamayan hasta mevcuttu. Tüm olgulardan venöz kan örnekleri alındı. Alınan bu örneklerin proteomik analizleri SELDI-TOF-MS yöntemi kullanılarak yapıldı. B Bu ul lg gu ul la ar r: : SELDI-TOF analizi ile KHDAK'li hastalar ile KHAK'li hastalar arasında ayırt edici protein pikleri 9065 m/z, 9175 m/z ve 9394 m/z olarak bulundu (p<0,05). Söz konusu üç proteinin KHAK'li olgularda yüksek yoğunlukta bulunduğu g...