Swansea University, UK.
BMC Cancer. 2010 Nov 23;10:640. doi: 10.1186/1471-2407-10-640.
Survival time for lung cancer is poor with over 90% of patients dying within five years of diagnosis primarily due to detection at late stage. The main objective of this study was to evaluate Fourier transform infrared spectroscopy (FTIR) as a high throughput and cost effective method for identifying biochemical changes in sputum as biomarkers for detection of lung cancer.
Sputum was collected from 25 lung cancer patients in the Medlung observational study and 25 healthy controls. FTIR spectra were generated from sputum cell pellets using infrared wavenumbers within the 1800 to 950 cm-1 "fingerprint" region.
A panel of 92 infrared wavenumbers had absorbances significantly different between cancer and normal sputum spectra and were associated with putative changes in protein, nucleic acid and glycogen levels in tumours. Five prominent significant wavenumbers at 964 cm-1, 1024 cm-1, 1411 cm-1, 1577 cm-1 and 1656 cm-1 separated cancer spectra from normal spectra into two distinct groups using multivariate analysis (group 1: 100% cancer cases; group 2: 92% normal cases). Principal components analysis revealed that these wavenumbers were also able to distinguish lung cancer patients who had previously been diagnosed with breast cancer. No patterns of spectra groupings were associated with inflammation or other diseases of the airways.
Our results suggest that FTIR applied to sputum might have high sensitivity and specificity in diagnosing lung cancer with potential as a non-invasive, cost-effective and high-throughput method for screening.
ClinicalTrials.gov: NCT00899262.
肺癌患者的生存时间很差，超过 90%的患者在诊断后五年内死亡，主要原因是晚期发现。本研究的主要目的是评估傅里叶变换红外光谱（FTIR）作为一种高通量、低成本的方法，用于识别痰液中的生化变化作为肺癌检测的生物标志物。
从 Medlung 观察性研究中的 25 例肺癌患者和 25 例健康对照者中收集痰液。使用红外波数范围内的 1800 至 950 cm-1“指纹”区域从痰液细胞沉淀中生成 FTIR 光谱。
癌症和正常痰液光谱之间有吸收明显不同的一组 92 个红外波数，与肿瘤中蛋白质、核酸和糖原水平的潜在变化有关。五个突出的显著波数在 964 cm-1、1024 cm-1、1411 cm-1、1577 cm-1 和 1656 cm-1，使用多元分析将癌症光谱从正常光谱分成两个不同的组（组 1：100%癌症病例；组 2：92%正常病例）。主成分分析表明，这些波数也能够区分以前被诊断患有乳腺癌的肺癌患者。没有与炎症或气道其他疾病相关的光谱分组模式。
我们的结果表明，FTIR 应用于痰液可能具有很高的敏感性和特异性，可用于诊断肺癌，具有作为一种非侵入性、低成本、高通量的筛选方法的潜力。
ClinicalTrials.gov：NCT00899262。
