Korkmaz G G, Inal B B, Ortakoylu G M, Irmak H, Kara A A, Gelisgen R, Ogurlu O, Uzun H
Clin Lab. 2014;60(4):599-607. doi: 10.7754/clin.lab.2013.130407.
The source of many diseases, including tumors, lies in an increased generation of reactive oxygen species resulting in oxidative stress. We investigated the relationships between advanced oxidation protein products (AOPPs), nitrotyrosine (NT), protein carbonyls (PCO) content, and the prooxidant-antioxidant balance (PAB) in patients with lung cancer.
A total of 14 age-matched healthy controls, 14 subjects with non-lung cancer pulmonary disease, and 41 patients with lung cancer were included in this study. Spectrophotometry was used to examine plasma AOPP, serum FRAP, and PAB, while serum PCO and NT were assessed with western blot analysis.
A significant difference in AOPP levels were found between patients and controls (p < 0.01). Also, there was a highly significant difference in NT levels between patients and controls (p < 0.001). PAB showed negative correlation with albumin (r = -0.340, p = 0.011) and positive correlation with CRP (r = 0.342, p = 0.011). AOPP, albumin, gender, and smoking were the significant independent variables found by backward stepwise multiple logistic regression (MLR) analysis method. MLR analysis revealed that AOPP was the variable that had a significant effect on lung cancer [(p = 0.006, OR = 1.074, (95% CI) (1.020-1.131)].
The use of non-invasive diagnostic biochemical parameters would represent a very important contribution to our diagnostic armamentarium in lung cancer, considering the high incidence of this deadly disease. In this regard, AOPP and NT levels have appeared to play a prominent role, although further studies are certainly warranted.
包括肿瘤在内的许多疾病的根源在于活性氧生成增加，从而导致氧化应激。我们研究了晚期氧化蛋白产物（AOPPs）、硝基酪氨酸（NT）、蛋白质羰基（PCO）含量与肺癌患者体内氧化还原平衡（PAB）之间的关系。
本研究共纳入14名年龄匹配的健康对照者、14名非肺癌肺部疾病患者和41名肺癌患者。采用分光光度法检测血浆AOPP、血清FRAP和PAB，同时通过蛋白质免疫印迹分析评估血清PCO和NT。
患者与对照组之间AOPP水平存在显著差异（p < 0.01）。此外，患者与对照组之间NT水平也存在高度显著差异（p < 0.001）。PAB与白蛋白呈负相关（r = -0.340，p = 0.011），与CRP呈正相关（r = 0.342，p = 0.011）。通过向后逐步多元逻辑回归（MLR）分析方法发现，AOPP、白蛋白、性别和吸烟是显著的独立变量。MLR分析显示，AOPP是对肺癌有显著影响的变量[(p = 0.006，OR = 1.074，(95% CI) (1.020 - 1.131)]。
考虑到这种致命疾病的高发病率，使用非侵入性诊断生化参数将对我们肺癌的诊断手段做出非常重要的贡献。在这方面，AOPP和NT水平似乎发挥了突出作用，尽管肯定需要进一步研究。
