1. Construct a prospective cohort of patients diagnosed with lung cancer and dispositioned for treatment and collect information on symptoms and symptom treatments at baseline and on follow-up.
2. Develop preliminary statistical models incorporating genetic data ( which will be obtained from an existing protocol, CPN 91-001, Margaret Spitz), disease-related variables (e.g., stage of disease, location of tumor), clinical health status (e.g., performance status, comorbid conditions), and sociodemographic characteristics (e.g., age, sex, race) for predicting the risk of severe and persistent symptoms.
Analytical aim: To determine if symptoms (e.g., fatigue, depression, lack of appetite) will differ in severity by IL-6 gene polymorphisms (-174G/C, -597G/A, -572G/C, -373An/Tn).
This study (NIH-CA109043, Reyes-Gibby, 2004-2009) builds upon an NIH-funded (NIH-CA55769, Spitz, 2003-2008) study of the molecular epidemiology of lung cancer. |