City of Hope Medical Center
Duarte, California, 91010, United States
NCT Number: NCT06328621
This study examines the biological and social determinants that may increase the risk for lung cancer in patients and never-smoking individuals. Biological characteristics of a person can include their genetics and social determinants of a person can include their education, income, and environment, all of which can impact their health. Information collected in this study may help increase early detection of lung cancer.
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Notify Me18 year and older
All sexes
Observational
Duarte, California, 91010, United States
PRIMARY OBJECTIVE:
I. To assess the frequency of germline cancer susceptibility mutations in affected and unaffected individuals who have a personal or family history suggestive of high lung cancer risk.
EXPLORATORY OBJECTIVES:
I. To assess the frequency of abnormal radiographic findings in high-risk individuals unaffected with cancer who undergo low-dose computed tomography (CT) screening.
II. Use patient survey and medical record data to explore the associations between social determinants of health, biological risk factors, family history and lung cancer incidence.
III. To determine the sensitivity and specificity of liquid biopsy for detection of lung cancer in a never-smoking population.
OUTLINE:
Participants complete a survey over 40-45 minutes at baseline and undergo collection of blood samples at a scheduled clinical or research blood draw. Participants' medical records are also reviewed. Participants not diagnosed with lung cancer (i.e. "unaffected"), undergo a low-dose computerized tomography (CT) scan over 20 minutes.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Undergo collection of blood samples
Other names: Biological Sample Collection, Biospecimen Collected, Specimen Collection
Undergo low-dose CT
Other names: CAT, CAT Scan, Computed Axial Tomography, Computerized Axial Tomography, Computerized axial tomography (procedure), Computerized Tomography, CT, CT Scan, tomography
Review of medical records
Complete survey
Time frame: Through study completion, an average of 5 years
We will explore the relationships between variables, examining correlations (Pearson or Spearman where appropriate). Summarization of data using univariate distributions of the outcomes of interest (presence of lung cancer and molecular phenotypes) and their bivariate distributions with social determinants of health will be carried out. We will examine whether financial hardship, low levels of education, and traffic proximity are associated with presence of lung cancer and molecular phenotypes by using T-tests to compare means and Fisher's exact test to compare proportions. We will also conduct logistic regression modeling to adjust for relevant covariates like race/ethnicity, age, and sex. If appropriate, we will use standard techniques such as sensitivity analyses or multiple imputation to handle missing data.
Time frame: Through study completion, an average of 5 years
Will assess the frequency of abnormal radiographic findings in high-risk individuals unaffected with cancer who undergo low-dose computed tomography (CT) screening. Will summarize data related to the frequency of abnormal radiographic findings in high-risk individuals who undergo low-dose CT screening.
Time frame: Up to study completion
Identification of associations of social determinants of health and risk factors with lung cancer using lung cancer cases and non cases (survey and medical record data).
Time frame: Through study completion, an average of 5 years
Calculated by comparing the LB results with known cancer status. Results will be reported with their corresponding 95% confidence intervals.
Time frame: Through study completion, an average of 5 years
Calculated by comparing the LB results with known cancer status. Results will be reported with their corresponding 95% confidence intervals.
Time frame: Through study completion, an average of 5 years
Calculated by comparing the LB results with known cancer status. Results will be reported with their corresponding 95% confidence intervals.
Time frame: Through study completion, an average of 5 years
Calculated by comparing the LB results with known cancer status. Results will be reported with their corresponding 95% confidence intervals.
Time frame: Through study completion, an average of 5 years
LB test sensitivity and specificity, will be calculated by comparing the LB results with known cancer status. In addition to sensitivity and specificity, we will also examine other confusion matrix statistics, such as positive predictive value, negative predictive value, and test accuracy. Results will be reported with their corresponding 95% confidence intervals.
City of Hope Medical Center
Other
Lung Cancer Risk Assessment &Amp; Etiology
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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