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R. Smith
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P3.05 - Early Stage NSCLC (ID 721)
- Event: WCLC 2017
- Type: Poster Session with Presenters Present
- Track: Early Stage NSCLC
- Presentations: 1
- Moderators:
- Coordinates: 10/18/2017, 09:30 - 16:00, Exhibit Hall (Hall B + C)
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P3.05-001 - Breath Analysis for Early Detection of Lung Cancer: The LuCID Study (ID 10067)
09:30 - 09:30 | Author(s): R. Smith
- Abstract
Background:
There is an urgent need for methods to detect lung cancer earlier. If detected early, over half of lung cancer patients could be cured with existing treatments. Therefore, our greatest opportunity lies in increasing rates of early diagnosis through improved cancer screening. Exhaled breath contains over 1,000 Volatile Organic Compounds (VOCs), which are the products of metabolic activity, hence they directly reflect the current state of cells and represent a valuable source of information about the health of an individual. As the earliest stages of tumour development are characterized by profound changes in cellular metabolic activity, VOCs are potential non-invasive biomarkers for early detection of lung cancer. The LuCID study aims to collect breath samples and evaluate VOCs in exhaled breath as non-invasive biomarkers for early detection of lung cancer.
Method:
LuCID is an international multi-centre prospective case-control cohort study (ClinicalTrials.gov ID NCT02612532) currently in progress, evaluating breath VOCs in patients with a clinical suspicion of lung cancer. A clinical suspicion is based on symptoms and/or suspicious finding on incidental imaging. Using tidal breathing, patients breathe into the ReCIVA Breath Sampler for 7 minutes to collect alveolar- and bronchial-enriched breath fractions on stable sorbent tubes for later analysis by Gas Chromatography-Mass Spectrometry and Field Asymmetric Ion Mobility Spectrometry (FAIMS, Owlstone Medical Ltd). A classification algorithm will be constructed from chemical spectral data, and undergo internal and external blinded validation to provide a ROC-curve detailing diagnostic accuracy. The LuCID study has an adaptive trial design, recruiting up to 2,600 patients depending on interim results.
Result:
The LuCID study has recruited 980 patients to date from 20 centres (mean age 67.5, SD 12.0). Of patients with completed follow-up (n=802), 33% have histologically confirmed lung cancer (of those with lung cancer: 40% early stage 1a-2b, 60% advanced stage 3a-4). Non Small Cell Lung Cancer (NSCLC) comprised 87% of these cancers, and Small Cell Lung Cancer 9%. NSCLC were further categorized as adenocarcinoma (50%), squamous cell carcinoma (38%), with the remaining 12% belonging to other categories.
Conclusion:
The LuCID study is evaluating the analysis of exhaled VOC biomarkers as a new diagnostic modality for early detection of lung cancer. Successful completion of the LuCID study will pave the way for the development of a non-invasive, easy-to-implement test that could markedly improve screening and early detection rates, reducing lung cancer morbidity and mortality.
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WS 01 - IASLC Supporting the Implementation of Quality Assured Global CT Screening Workshop (By Invitation Only) (ID 632)
- Event: WCLC 2017
- Type: Workshop
- Track: Radiology/Staging/Screening
- Presentations: 1
- Moderators:
- Coordinates: 10/14/2017, 08:30 - 21:00, F203 (Annex Hall)
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WS 01.18 - Lung Cancer Indicator Detection Trial (LuCID) (ID 10656)
11:45 - 12:00 | Author(s): R. Smith
- Abstract
Abstract:
Background There is an urgent need for methods to detect lung cancer earlier. If detected early, over half of lung cancer patients could be cured with existing treatments. Therefore, our greatest opportunity lies in increasing rates of early diagnosis through improved cancer screening. Exhaled breath contains over 1,000 Volatile Organic Compounds ﴾VOCs﴿, which are the products of metabolic activity, hence they directly reflect the current state of cells and represent a valuable source of information about the health of an individual. As the earliest stages of tumour development are characterized by profound changes in cellular metabolic activity, VOCs are potential non‐invasive biomarkers for early detection of lung cancer. The LuCID study aims to collect breath samples and evaluate VOCs in exhaled breath as non‐invasive biomarkers for early detection of lung cancer. Method LuCID is an international multi‐centre prospective case‐control cohort study ﴾ClinicalTrials.gov ID NCT02612532﴿ currently in progress, evaluating breath VOCs in patients with a clinical suspicion of lung cancer. A clinical suspicion is based on symptoms and/or suspicious finding on incidental imaging. Using tidal breathing, patients breathe into the ReCIVA Breath Sampler for 7 minutes to collect alveolar‐ and bronchial enriched breath fractions on stable sorbent tubes for later analysis by Gas Chromatography‐Mass Spectrometry and Field Asymmetric Ion Mobility Spectrometry ﴾FAIMS, Owlstone Medical Ltd﴿. A classification algorithm will be constructed from chemical spectral data, and undergo internal and external blinded validation to provide a ROC‐curve detailing diagnostic accuracy. The LuCID study has an adaptive trial design, recruiting up to 2,600 patients depending on interim results. Figure 1 Results The LuCID study has recruited 980 patients to date from 20 centres ﴾mean age 67.5, SD 12.0﴿. Of patients with completed follow‐up ﴾n=802﴿, 33% have histologically confirmed lung cancer ﴾of those with lung cancer: 40% early stage 1a‐2b, 60% advanced stage 3a‐4﴿. Non Small Cell Lung Cancer ﴾NSCLC﴿ comprised 87% of these cancers, and Small Cell Lung Cancer 9%. NSCLC were further categorized as adenocarcinoma ﴾50%﴿, squamous cell carcinoma ﴾38%﴿, with the remaining 12% belonging to other categories. Most recent data on study progress and results will be presented at the conference. Conclusion The LuCID study is evaluating the analysis of exhaled VOC biomarkers as a new diagnostic modality for early detection of lung cancer. Successful completion of the LuCID study will pave the way for the development of a non‐invasive, easy‐to‐implement test that could markedly improve screening and early detection rates, reducing lung cancer morbidity and mortality.
