Analysis of Volatile Chemicals in Lung Cancer Screen-Eligible Subjects Using Infrared Spectroscopy

Lung Cancer Clinical Trial

Official title:

Analysis of Volatile Chemicals in Lung Cancer Screen-Eligible Subjects Using Infrared Spectroscopy

Clinical Trial Details — Status: Terminated

Administrative data

• NCT number: NCT05174468
• Other study ID #: WVU010521
• Status: Terminated
• Start date: September 22, 2022
• Est. completion date: July 12, 2023

Study information

• Verified date: November 2023
• Source: Picomole Inc
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

The aim of this study is to sample and analyze volatile organic compounds (VOCs) from a high-risk population of subjects eligible for lung cancer screening as defined by the US Preventive Services Task Force (USPSTF) guidelines. The breath sample analysis will help investigators describe and identify real-world breath profiles from individuals at high risk of developing lung cancer and to use this to test machine learning (ML) algorithms for lung cancer screening. This study will also evaluate the feasibility and usability of Picomole's breath sampling technology in a mobile platform. with lung cancer when compared to normal breath profiles using infrared spectroscopy. This work will help validate early proof of concept results conducted with prototype technology and later stage NSCLC breath samples, and inform future breath testing analysis.

Description:

Lung cancer is the most common malignancy in the world in terms of both incidence and mortality (1.1 million new cases per year and 0.95 million deaths in males and 0.51 million new cases per year and 0.43 million deaths in females). The highest rates of lung cancer are found in Europe and North America. In addition, lung cancer is the leading cause of cancer death in Canada. Lung cancer is believed to develop slowly via a progressive accumulation of genetic mutations, hence the disease allows time for diagnosis and curative surgical treatment. When detected in the early stages, the 5-year survival rate for NSCLC is 57% to 61%, compared with a survival rate of approximately 6% once distant metastases are present. Unfortunately, most patients do not experience any signs or symptoms of lung cancer until the disease has progressed to an advanced stage. Therefore, technologies that facilitate detection of lung cancer in the earliest asymptomatic stages have significant potential to reduce lung cancer-specific mortality. Malignant transformation is facilitated by deregulation of fundamental cellular processes, including alterations in metabolism. Thus, metabolomic profiling may be a promising strategy for identifying lung cancer before it is detectable via conventional methods such as CT scans. Breathomics is a field of study dedicated to deconstructing the metabolomic profile or biological components of volatile organic compounds (VOC) in breath. To date, various analytical techniques including gas chromatography combined with mass spectrometry, ion mobility spectrometry, proton transfer reaction spectrometry, and selected ion flow tube mass spectrometry have been used to study breath VOCs. In a recent study, ion mobility spectrometry discriminated between lung cancer and chronic obstructive lung disease with 79% accuracy, 76.8% sensitivity, and 85.7% specificity. Furthermore, breath analysis can be used to not only identify lung cancer but also distinguish between lung cancers with particular somatic mutations. For example, electronic nose technology demonstrated 79% and 85% sensitivity and specificity, respectively, for identifying EGFR-mutant lung cancer. These studies suggest that breath analysis is a highly sensitive and specific approach to detecting lung cancer. This study will evaluate the performance characteristics of infrared spectroscopy for breath analysis. The spectrometer used to analyze breath gases is optimized to measure chemical concentrations down to the parts per trillion range. In a pilot study of 165 (67 newly diagnosed Non-Small Cell Lung Cancer (NSCLC) subjects which used infrared spectroscopy to analyze breath specimens from subjects with lung cancer and subjects without cancer, sensitivity and specificity for detecting lung cancer was 88.7% and 80%, respectively, with an accuracy of 86%. These preliminary results compare very favorably to mass spectrometry (the analytical platform that has been used in most breath analysis studies). This study will analyze breath VOCs from 300 subjects who meet the USPSTF eligibility guidelines for lung cancer screening. The study aims to better understand the VOC breath profiles in a larger group of subjects at high risk for developing lung cancer. By restricting the population to screen-eligible subjects, this study will approximate the potential future "real world" use of this screening strategy and better approximate its utility in the field, sampling high risk populations in rural settings. It is envisioned that this study will generate preliminary data that will inform the performance of machine learning algorithms developed to detect the presence of lung cancer in unselected populations.

Recruitment information / eligibility

• Status: Terminated
• Enrollment: 28
• Est. completion date: July 12, 2023
• Est. primary completion date: July 12, 2023
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 50 Years to 80 Years

Eligibility

Inclusion Criteria:

• Being screened for lung cancer on LUCAS;
• At high-risk for lung cancer based on USPSTF guidelines:
• Asymptomatic adults aged 50-80 years
• Tobacco smoking history of at least 20 pack-years (one pack-year = smoking one pack per day for one year; 1 pack = 20 cigarettes)
• Current smoker or has quit smoking within the past 15 years.
• No history of lung cancer or any other active cancer within 3 years (Note: DCIS, CIN, non-invasive bladder cancer, non-melanomatous skin cancers are an exception);
• Ability to provide a breath sample;
• Ability to give informed consent.

Exclusion Criteria:

• Persons who cannot give informed consent or assent (i.e. mentally incompetent persons, or those physically incapacitated) or do not have a legally acceptable representative are not to be recruited into this study;
• Persons who require the use of supplemental oxygen;
• The breath sampling technology is sensitive to the chemicals produced by tobacco, cannabis, and e-cigarettes as well as alcohol (consumed by the subject or used by the operator around the equipment). So we ask that subjects refrain from Smoking (tobacco, cannabis, or e-cigarettes ) at least 4 hours before and consuming alcohol (including mouthwash) 8 hours before breath sampling

Related Conditions & MeSH terms

• Lung Cancer
• Lung Neoplasms

Locations

Country	Name	City	State
United States	West Virginia University	Morgantown	West Virginia

Sponsors (2)

Lead Sponsor	Collaborator
Picomole Inc	West Virginia University

Country where clinical trial is conducted

United States, 

References & Publications (5)

Boots AW, van Berkel JJ, Dallinga JW, Smolinska A, Wouters EF, van Schooten FJ. The versatile use of exhaled volatile organic compounds in human health and disease. J Breath Res. 2012 Jun;6(2):027108. doi: 10.1088/1752-7155/6/2/027108. Epub 2012 May 23. — View Citation

Chen W, Metsala M, Vaittinen O, Halonen L. Hydrogen cyanide in the headspace of oral fluid and in mouth-exhaled breath. J Breath Res. 2014 Jun;8(2):027108. doi: 10.1088/1752-7155/8/2/027108. Epub 2014 May 21. — View Citation

Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011 Mar-Apr;61(2):69-90. doi: 10.3322/caac.20107. Epub 2011 Feb 4. Erratum In: CA Cancer J Clin. 2011 Mar-Apr;61(2):134. — View Citation

Schmidt FM, Metsala M, Vaittinen O, Halonen L. Background levels and diurnal variations of hydrogen cyanide in breath and emitted from skin. J Breath Res. 2011 Dec;5(4):046004. doi: 10.1088/1752-7155/5/4/046004. Epub 2011 Aug 2. — View Citation

Shlomi D, Abud M, Liran O, Bar J, Gai-Mor N, Ilouze M, Onn A, Ben-Nun A, Haick H, Peled N. Detection of Lung Cancer and EGFR Mutation by Electronic Nose System. J Thorac Oncol. 2017 Oct;12(10):1544-1551. doi: 10.1016/j.jtho.2017.06.073. Epub 2017 Jul 12. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	VOC spectral profile differences	VOC spectral profiles will be compared between cohorts to identify statistical differences	within 30 days after collection

External Links

•   [Abstract] Janssens E, Lamote K, van Meerbeeck JP (2018). Breath analysis by ion mobility spectrometry allows to discriminate COPD from lung cancer patients. European Respiratory Journal. 52: Suppl. 62,
•   American Cancer Society. Cancer Facts & Figures 2019. Atlanta: American Cancer Society
•   Canadian Cancer Statistics 2019
•   The American Cancer Society (2016). Non-Small Cell Lung Cancer Survival Rates.