The following info and data is provided "as is" to help patients around the globe.
We do not endorse or review these studies in any way.
Brief Title: Biomarkers for Early Detection of Lung Cancer in Patients With Lung Cancer, Participants at High-Risk for Developing Lung Cancer, or Healthy Volunteers
Official Title: Early Detection of Lung Cancer: Metabolic Biomarkers for High Risk Screening (MEDLUNG)
Study ID: NCT00899262
Brief Summary: RATIONALE: Collecting and storing samples of sputum and tissue to study in the laboratory may help doctors identify biomarkers related to cancer. PURPOSE: This research study is looking samples of sputum and tissue from lung cancer patients, participants at high risk for developing lung cancer, and from healthy volunteers (both smokers and non-smokers).
Detailed Description: OBJECTIVES: * To test and make a preliminary assessment of the sensitivity and specificity of Fourier transform infrared technology (FTIR) for use in the early detection of lung cancer in sputum samples from patients who have or participants at high risk for developing lung cancer and from non-high-risk smoking and non-smoking volunteers. * To permit identification of specific metabolic biomarkers within FTIR spectra that can distinguish between lung cancer, high-risk, and non-high-risk cases. OUTLINE: This is a multicenter study. Sputum samples and endobronchial biopsy tissue specimens are collected prior to routine bronchoscopy as part of a standard clinical assessment for the early detection of lung cancer. Sputum samples are examined for levels of bronchial and non-bronchial cells using established cytological and immunohistochemical procedures. Samples are also examined for metabolic biomarkers using Fourier transform infrared spectroscopy (FTIR) to generate complete metabolic fingerprints (i.e., spectra) that can distinguish metabolic differences between cancer, non-cancer, and early disease (i.e., dysplasia or metaplasia). These molecular biomarkers, which are detected within FTIR spectra, may be further analyzed in matched endobronchial biopsy tissue samples for histological confirmation. Additional clinico-pathological data is collected for each participant to allow development of predictive statistical models from the data. All study participants are followed annually.
Minimum Age:
Eligible Ages: CHILD, ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: Yes
Prince Philip Hospital, Llanelli, Wales, United Kingdom
South West Wales Cancer Institute, Swansea, Wales, United Kingdom
Name: Paul D. Lewis, BSc, PhD
Affiliation: Swansea University
Role: PRINCIPAL_INVESTIGATOR