蛋白质芯片筛选香港非吸烟女性肺腺癌组织的肿瘤标志物

背景与目的:吸烟虽为肺癌的重要病因,但香港女性肺腺癌患者中逾半数是从不吸烟。本研究应用高通量蛋白质芯片技术,以冀筛选其相关特异性标志蛋白分子作为临床诊断指标。方法:采用表面增强激光解吸电离-飞行时间质谱仪对29例肺癌组织及其配对的癌旁正常组织进行蛋白质指纹图谱检测。结果:针对非吸烟女性肺腺癌与其配对之癌旁正常组织进行检测分析,筛选出52个有明显表达差异的标志蛋白,其中差异性最大的10个标志蛋白之差异率为60%～213%。而非吸烟患者之肺癌亦与吸烟患者之肺癌作蛋白质指纹图谱检测,发现有84个明显表达差异的标志蛋白,其中差异性最大的10个标志蛋白之应用受试者特征曲线下面积为0.82～0.89。把女性肺癌组织与男性肺癌组织蛋白质指纹图谱作比较,则发现有69个明显表达差异的标志蛋白,其中差异性最大的10个标志蛋白之应用受试者特征曲线下面积为0.81～0.86。结论:本研究成功利用蛋白质芯片技术筛选香港非吸烟女性肺腺癌组织中的标志蛋白,更通过与吸烟及性别相关之标志分子的比较,找到非吸烟女性肺腺癌的特异性肿瘤标志物。

Proteinchip profiling of tumor markers in lung adenocarcinoma tissue from non-smoking oriental female patients

BACKGROUND & OBJECTIVE: Although lung cancer is largely attributable to tobacco smoking, more than half of the female patients with adenocarcinoma are non-smokers in Hong Kong. This study dedicated to discover biomarkers for lung adenocarcinoma in non-smoking female patients with high-throughput proteinchip technology. METHODS: Protein profiles were generated from 29 specimens of primary lung cancers with matched adjacent non-cancer tissues using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). RESULTS: Comparing the lung cancer and matched normal lung tissues from the non-smoking female patients, 52 proteins with differential expression were discovered, with a percentage of difference ranging from 60% to 213% for the top ten biomarkers. Comparing the lung cancer tissues from the patients without smoking history and those with smoking history, 84 proteins with differential expression were found. The area under receiver operating characteristic curve (AUC) for the top ten biomarkers ranged from 0.82 to 0.89. Comparing lung cancer tissues from female and male patients, 69 proteins with differential expression were found. The AUC for the top ten biomarkers was ranged from 0.81 to 0.86. CONCLUSION: Using SELDI-TOF-MS, the biomarker candidates that are highly associated with non-smoking female patients with lung adenocarcinoma were filtered.