Presently existing screening approaches for lung cancer are not being proving sufficient and sensitive, so a study was conducted to identify disease related biomarker proteins for diagnostic applications. A total of 100 lung cancer patients (88 non-small cell lung cancer and 12 small cell lung cancer) and 50 healthy controls were included in this study. Serum samples of patients and healthy controls were subjected to a series of proteomic approaches and as a result of two dimensional gel electrophoresis, a ∼ 43 kDa protein was found to be differentially expressed compared to healthy controls. Quantitative profiling of two dimensional gels by Dymension software analysis displayed 3.58 fold increased expression of ∼ 43 kDa protein in squamous cell carcinoma and 2.92 fold in case of adenocarcinoma. Mass spectrometric analysis resulted in identification of 8 differentially expressed proteins, out of which human Alpha-1-acid glycoprotein 1 was targeted for further validations. This candidate protein exhibited N-linked glycosylation at five amino acid residues; 33, 56, 72, 93, and 103 with significant score of 0.66, 0.78, 0.78, 0.53 and 0.66, respectively. Sandwich ELISA quantified high serum levels of Alpha-1-acid glycoprotein 1 in squamous cell carcinoma (2.93 g/l ± 1.22) and adenocarcinoma (2.39 g/l ± 1.13) when compared with healthy controls (0.83 g/l ± 0.21). One-way ANOVA analysis predicted highly significant variation of Alpha-1-acid glycoprotein 1, among all the study types (F-value 65.37, p-value 0.000). This study may prove as a non-invasive, cost effective and sensitive scheme for diagnosis of lung cancer, by passing the expensive and painful screening procedures.
Keywords: 2DE; Cancer; Candidate biomarker; MALDI-TOF/TOF.
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