- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02445183
COPDGene/Lung Cancer Center Database
Study Overview
Detailed Description
COPDGene® subjects will be screened through several mechanisms for enrollment into the Lung Cancer Database:
- The COPDGene® Phase 1 Longitudinal Follow-up Questionnaire.
- The COPDGene® Phase 2 Medical History Questionnaire at Visit 1
- Medical Records Collection through the Mortality Adjudication Committee
Potential cases will be those who respond yes to lung cancer will be contacted by phone by a study coordinator and be screened for the COPDGene® Lung Cancer Database. Medical records will be analyzed to determine the patient's cancer diagnosis, pathology, and treatment. Information will be collected at each individual institution, de-identified, and entered into the password-protected COPDGene® DCC lung cancer database, through a web-based interface. The survival data will be obtained through review of medical records or the Social Security Death Index in conjunction with the COPDGene® mortality adjudication committee. For the nested case-control study, controls will be matched from the those subjects on COPDGene who answered 'No' to the longitudinal follow-up question "have you been diagnosed with lung cancer" as per COPDGene protocol.
Medical records regarding the patient's cancer diagnosis, pathology and treatment will be collected following signed release of medical information from the patient. The following information will be collected and entered into a database. The survival data will be obtained through review of medical records or the Social Security Death Index.
i. Date of diagnosis ii. Type of specimen iii. Laterality iv. Lobe v. Record of any false positives (can be used as verified controls) b. Pathology Findings: i. Histology ii. Molecular Analysis, if done. iii. Stage (TNM classification) iv. Histologic grade c. Treatment i. Surgery ii. Radiation iii. Chemotherapy iv. Presentation at Tumor Board d. Outcomes i. Recurrence, Second primary cancers ii. Survival after cancer diagnosis, Cause of death Study coordinators at each site contact subjects who have self-reported lung cancer or were identified as having lung cancer by follow-up clinic visits and complete the lung cancer data form. The data collected on each subject is de-identified at the recruiting site prior to being downloaded into the COPDGene® DCC located at National Jewish Health. A lung cancer adjudication committee, including Drs. Carr and Bowler, will review each case for accuracy and completeness.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Colorado
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Denver, Colorado, United States, 80206
- National Jewish Health
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
Subjects must meet all of the following criteria
- Be enrolled in COPDGene® Phase 1 with or without enrollment in Phase 2 with newly diagnosed, (within the time of enrollment), non-small cell lung cancer (NSCLC) or small-cell lung cancer (SCLC).
- Documented GOLD stage 1-4 COPD or a history of smoking with no COPD
- Signed HIPAA Research Authorization and a Release of Protected Health Information form to collect and review medical records regarding lung cancer diagnosis, treatment, and outcome
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Lung Cancer
Confirmed diagnosis of lung cancer
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|
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No Lung Cancer Controls
Unconfirmed lung cancer diagnosis, false positive
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Identify lung cancer variables
Time Frame: 1.5 years
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Use existing COPDGene® quantitative HRCT and clinical data to perform a nested case-control study and perform a univariate analysis to select significant variables for the development of lung cancer.
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1.5 years
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Probability of lung cancer based on variables
Time Frame: 1.5 years
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Construct a multivariate model from the results of the univariate analysis to calculate the odds ratios for the variables that predict lung cancer
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1.5 years
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Collaborators and Investigators
Sponsor
Collaborators
Publications and helpful links
General Publications
- El Kaddouri B, Strand MJ, Baraghoshi D, Humphries SM, Charbonnier JP, van Rikxoort EM, Lynch DA. Fleischner Society Visual Emphysema CT Patterns Help Predict Progression of Emphysema in Current and Former Smokers: Results from the COPDGene Study. Radiology. 2021 Feb;298(2):441-449. doi: 10.1148/radiol.2020200563. Epub 2020 Dec 15.
- Bradford E, Jacobson S, Varasteh J, Comellas AP, Woodruff P, O'Neal W, DeMeo DL, Li X, Kim V, Cho M, Castaldi PJ, Hersh C, Silverman EK, Crapo JD, Kechris K, Bowler RP. The value of blood cytokines and chemokines in assessing COPD. Respir Res. 2017 Oct 24;18(1):180. doi: 10.1186/s12931-017-0662-2.
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- HS 2815
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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