Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
Br J Cancer. 2013 Mar 5;108(4):941-50. doi: 10.1038/bjc.2013.44.
Upper digestive endoscopy with biopsy and histopathological evaluation of the biopsy material is the standard method for diagnosing gastric cancer (GC). However, this procedure may not be widely available for screening in the developing world, whereas in developed countries endoscopy is frequently used without major clinical gain. There is a high demand for a simple and non-invasive test for selecting the individuals at increased risk that should undergo the endoscopic examination. Here, we studied the feasibility of a nanomaterial-based breath test for identifying GC among patients with gastric complaints.
Alveolar exhaled breath samples from 130 patients with gastric complaints (37 GC/32 ulcers / 61 less severe conditions) that underwent endoscopy/biopsy were analyzed using nanomaterial-based sensors. Predictive models were built employing discriminant factor analysis (DFA) pattern recognition, and their stability against possible confounding factors (alcohol/tobacco consumption; Helicobacter pylori) was tested. Classification success was determined (i) using leave-one-out cross-validation and (ii) by randomly blinding 25% of the samples as a validation set. Complementary chemical analysis of the breath samples was performed using gas chromatography coupled with mass spectrometry.
Three DFA models were developed that achieved excellent discrimination between the subpopulations: (i) GC vs benign gastric conditions, among all the patients (89% sensitivity; 90% specificity); (ii) early stage GC (I and II) vs late stage (III and IV), among GC patients (89% sensitivity; 94% specificity); and (iii) ulcer vs less severe, among benign conditions (84% sensitivity; 87% specificity). The models were insensitive against the tested confounding factors. Chemical analysis found that five volatile organic compounds (2-propenenitrile, 2-butoxy-ethanol, furfural, 6-methyl-5-hepten-2-one and isoprene) were significantly elevated in patients with GC and/or peptic ulcer, as compared with less severe gastric conditions. The concentrations both in the room air and in the breath samples were in the single p.p.b.v range, except in the case of isoprene.
The preliminary results of this pilot study could open a new and promising avenue to diagnose GC and distinguish it from other gastric diseases. It should be noted that the applied methods are complementary and the potential marker compounds identified by gas-chromatography/mass spectrometry are not necessarily responsible for the differences in the sensor responses. Although this pilot study does not allow drawing far-reaching conclusions, the encouraging preliminary results presented here have initiated a large multicentre clinical trial to confirm the observed patterns for GC and benign gastric conditions.
上消化道内窥镜检查和活检组织的组织病理学评估是诊断胃癌(GC)的标准方法。然而,在发展中国家,该程序可能不适用于广泛的筛查,而在发达国家,内窥镜检查经常被用于没有重大临床收益的情况。因此,对于一种简单且非侵入性的测试方法的需求很高,这种测试方法可以选择风险增加的个体进行内窥镜检查。在这里,我们研究了基于纳米材料的呼吸测试在识别有胃部不适的 GC 患者中的可行性。
对 130 名接受内窥镜检查/活检的有胃部不适的患者(37 名 GC/32 名溃疡/61 名较轻的病症)的肺泡呼出的呼吸样本进行了基于纳米材料的传感器分析。采用判别因子分析(DFA)模式识别建立预测模型,并测试其对可能的混杂因素(酒精/吸烟;幽门螺杆菌)的稳定性。通过留一法交叉验证确定分类成功率(i),并通过随机将 25%的样本作为验证集进行盲法(ii)。使用气相色谱-质谱联用仪对呼吸样本进行了补充的化学分析。
开发了三个 DFA 模型,这些模型在亚群之间实现了出色的区分:(i)所有患者中 GC 与良性胃部病症(89%的敏感性;90%的特异性);(ii)GC 患者中早期 GC(I 和 II 期)与晚期(III 和 IV 期)(89%的敏感性;94%的特异性);以及(iii)良性病症中溃疡与较轻的病症(84%的敏感性;87%的特异性)。这些模型对测试的混杂因素不敏感。化学分析发现,与较轻的胃部病症相比,五种挥发性有机化合物(丙烯腈,2-丁氧基乙醇,糠醛,6-甲基-5-庚烯-2-酮和异戊二烯)在 GC 和/或消化性溃疡患者中显著升高。除了异戊二烯之外,它们在空气和呼吸样本中的浓度均在单 p.p.b.v 范围内。
这项初步研究的结果可能为诊断 GC 并将其与其他胃部疾病区分开来开辟了一条新的、有前途的途径。应当注意的是,所应用的方法是互补的,通过气相色谱/质谱法鉴定出的潜在标记化合物不一定是导致传感器响应差异的原因。尽管这项初步研究尚不能得出深远的结论,但这里提出的令人鼓舞的初步结果已启动了一项大型多中心临床试验,以确认 GC 和良性胃部病症的观察结果。