Hsu H-S, Chen T-P, Wen C-K, Hung C-H, Chen C-Y, Chen J-T, Wang Y-C
Division of Thoracic Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.
J Pathol. 2007 Dec;213(4):412-9. doi: 10.1002/path.2246.
The purpose of this study was to define a biomarker panel for detection of cancer cells in cytologically negative sputum and to evaluate the panel for assessment of lung cancer risk. We examined 19 genetic and epigenetic markers using a sensitive fluorescence-based method in cytologically negative sputum and in lung tumour tissues from 82 lung cancer patients. We also used these markers to test the sputum of 37 cancer-free individuals who were matched by age, sex, and smoking habit. Based on the concordance of biomarkers in lung tumours and corresponding sputum, and the low prevalence in cancer-free individuals, we selected seven markers for a nested case-control study: microsatellite instability of D9S942; loss of heterozygosity of D9S286, D9S942, GATA49D12, and D13S170; and methylation of p16INK4a and RARbeta. Based on the assumption that a lung cancer cell has alterations in two or more of the seven biomarkers, we compared the pattern of biomarker alteration in lung tumours and corresponding sputum. Our comparison yielded a sensitivity of 82%, specificity of 75%, and concordance of 79%. Three cancer-free individuals were considered to have an elevated risk based on the criterion that their sputum showed alteration in two of the seven biomarkers. One individual was indeed diagnosed as having lung cancer 18 months after sputum collection. In the nested case-control study, six biomarkers showed significantly increased odds ratios ranging from 3.14 to 11.24. Our study defines a biomarker panel for detection of cancer cells in cytologically negative sputum and verifies its use for risk assessment of lung cancer. In combination with conventional diagnostic tools, this multiple genetic and epigenetic panel should improve the detection or risk assessment of lung cancer.
本研究的目的是确定一个生物标志物组合,用于检测细胞学检查为阴性的痰液中的癌细胞,并评估该组合用于评估肺癌风险的情况。我们使用一种基于荧光的灵敏方法,检测了82例肺癌患者细胞学检查为阴性的痰液及肺肿瘤组织中的19种基因和表观遗传标志物。我们还使用这些标志物检测了37名年龄、性别和吸烟习惯相匹配的无癌个体的痰液。基于肺肿瘤和相应痰液中生物标志物的一致性,以及无癌个体中的低患病率,我们选择了7种标志物进行巢式病例对照研究:D9S942的微卫星不稳定性;D9S286、D9S942、GATA49D12和D13S170的杂合性缺失;以及p16INK4a和RARbeta的甲基化。基于肺癌细胞在7种生物标志物中的两种或更多种存在改变的假设,我们比较了肺肿瘤和相应痰液中生物标志物改变的模式。我们的比较得出灵敏度为82%,特异性为75%,一致性为79%。根据其痰液在7种生物标志物中的两种显示改变这一标准,3名无癌个体被认为具有较高风险。其中1名个体在痰液采集18个月后确实被诊断为肺癌。在巢式病例对照研究中,6种生物标志物显示比值比显著增加,范围从3.14到11.24。我们的研究确定了一个用于检测细胞学检查为阴性的痰液中癌细胞的生物标志物组合,并验证了其用于肺癌风险评估的用途。与传统诊断工具相结合,这种多种基因和表观遗传组合应能改善肺癌的检测或风险评估。