Optical Nanoscale Analysis of Buccal Cells: Transforming Lung Cancer Screening

口腔细胞的光学纳米级分析：改变肺癌筛查

• 批准号: 8513274
• 负责人: Vadim Backman
• 金额: $ 53.31万
• 依托单位: NORTHWESTERN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-26 至 2015-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8513274
• 关键词: Age; Algorithms; American; Architecture; Area; Biological; Biological Markers; Biophotonics; Biopsy; Blinded; Bronchoscopy; Brush Cell; Cancer Etiology; Cancer Patient; Cells; Cessation of life; Cheek structure; Clinical; Cohort Studies; Colon; Data; Data Analyses; Data Set; Demographic Factors; Dentists; Development; Diagnosis; Diagnostic Neoplasm Staging; Discrimination; Disease; Distant; Dose; Drug Formulations; Epigenetic Process; Epithelium; Evaluation; Factor Analysis; Future; Gastrointestinal tract structure; Gender; Genetic; Goals; Histologic; Histology; Incidence; Lead; Lesion; Low Prevalence; Lung; Malignant Neoplasms; Malignant neoplasm of lung; Measures; Microarray Analysis; Microscopy; Molecular; Mucous Membrane; Nature; Neoplasms; Optics; Oral mucous membrane structure; Pancreas; Patients; Performance; Population; Populations at Risk; Prevalence; Primary Care Physician; Procedures; Process; Pulmonary Coin Lesion; ROC Curve; Refractive Indices; Reporting; Research Design; Risk; Risk Factors; Sampling; Sensitivity and Specificity; Smoker; Smoking; Staging; Staining method; Stains; Stratification; Symptoms; Systems Development; Techniques; Technology; Testing; Time; Translating; Triage; Validation; Variant; Vision; X-Ray Computed Tomography; base; carcinogenesis; case control; cell transformation; clinical Diagnosis; clinical practice; cohort; cost; cost effective; demographics; disease diagnosis; lung cancer screening; lung carcinogenesis; minimally invasive; nano; nanoscale; neoplastic; new technology; novel; primary care setting; prospective; sample fixation; screening; tool

DESCRIPTION (provided by applicant): The overarching goal of the project is to develop a population risk-stratification tool that will allow efficacious and cost-effective lung cancer screening. Lung cancer represents an ideal malignancy for screening because of its prevalence, identifiable risk groups (current/former smokers) and ability to surgically cure the disease if diagnosed early. However, there are no robust screening techniques with options such as CT scans fraught with cost and harm from large numbers of false positives. One attractive approach is to exploit field carcinogenesis, the concept that the same genetic/environmental milieu that results in a lesion in one area of the lung will impact upon the entire aerodigestive mucosa. The buccal (cheek) mucosa is a "molecular mirror" of lung carcinogenesis, although current techniques are inadequate to translate this phenomenon into a minimally intrusive screening test. Our preliminary data show that the alteration of nanoscale architecture in buccal cells is exquisitely sensitive to field carcinogenesis and, hence, may serve as a robust biomarker for lung cancer. These nanoarchitectural changes can be detected in a practical and highly accurate fashion via a novel biophotonics technology, partial wave spectroscopic (PWS) microscopy. In this study, we will refine PWS technology, develop a prediction rule based on the PWS-detectable nanoscale alterations that is optimized for early stage, curable lung cancer. We will validate our preliminary data that there is no confounding with regards to demographics, risk factors (e.g. smoking intensity) and non-lung primary cancers. Finally, we will prospectively validate buccal PWS in a case control and a cohort studies. This project will provide the requisite data for future definitive large scale multicenter validation trials that could unequivocally prove the efficacy of buccal PWS analysis as the first line of screening for lung cancer allowing rational use of more expensive or intrusive tools such as CT scans or bronchoscopy. This novel paradigm could transform the clinical practice of lung cancer screening and thereby mitigate the large toll of this malignancy in Americans.

描述(由申请人提供)：该项目的总体目标是开发一种人群风险分层工具，使肺癌筛查能够有效和具有成本效益。肺癌是一种理想的筛查恶性肿瘤，因为它的流行率、可识别的危险群体(现在/以前吸烟者)以及如果及早诊断可以通过手术治愈这种疾病的能力。然而，目前还没有可靠的筛查技术可供选择，例如CT扫描充满了大量假阳性的成本和危害。一种有吸引力的方法是利用现场致癌，这是一个概念，即相同的遗传/环境环境导致肺某个区域的损害将影响整个空气消化粘膜。颊(颊)粘膜是肺癌发生的“分子镜子”，尽管目前的技术还不足以将这一现象转化为最小侵入性的筛查试验。我们的初步数据显示，口腔细胞纳米尺度结构的改变对现场致癌非常敏感，因此，可能成为肺癌的一个强有力的生物标记物。这些纳米结构的变化可以通过一种新的生物光子学技术--部分波谱(PWS)显微镜，以实用和高精度的方式被检测到。在这项研究中，我们将改进PWS技术，开发一种基于PWS可检测到的纳米级变化的预测规则，该规则针对早期可治愈的肺癌进行优化。我们将验证我们的初步数据，即在人口统计学、风险因素(如吸烟强度)和非肺癌原发癌症方面没有混淆。最后，我们将在一个病例对照和一项队列研究中前瞻性地验证口腔PWS。该项目将为未来最终的大规模多中心验证试验提供必要的数据，这些试验可以明确证明口腔PWS分析作为肺癌筛查一线的有效性，从而允许合理使用更昂贵或侵入性的工具，如CT扫描或支气管镜检查。这一新的范例可以改变肺癌筛查的临床实践，从而减轻这种恶性肿瘤在美国造成的巨大伤亡。