Molecular Fingerprints in Lung Cancer: Predicting Tumor Response to Therapy
- To determine protein and/or RNA expression patterns capable of predicting tumor
response to therapy in tumor tissue samples from patients with lung cancer or suspected
of having lung cancer.
- To characterize the genes and proteins found to be predictive of response in order to
help elucidate the molecular biology underlying cancer chemosensitivity.
OUTLINE: Patients undergo collection of tumor tissue by percutaneous fine needle aspiration,
core biopsy, or during any medically indicated procedure involving removal of lung tissue.
Tissue samples are analyzed by Matrix-assisted laser desorption/ionization time of flight
mass spectrometry (MALDI-MS) and RNA microarrays for protein and gene expression patterns
and for identification of genes and proteins predictive of treatment response. Blood samples
are also collected to obtain normal DNA for analysis.
After completion of study, patients will be followed until their death.
Observational Model: Cohort, Time Perspective: Prospective
Protein and/or RNA expression patterns
Protein and/or RNA expression patterns in lung tumor tissue that are capable of predicting tumor response to therapy
After lung tumor tissue and blood collection.
William Pao, MD
Vanderbilt-Ingram Cancer Center
United States: Vanderbilt University Human Research Protection Program
VICC THO 0547
|Vanderbilt-Ingram Cancer Center||Nashville, Tennessee 37232-6838|
|Vanderbilt-Ingram Cancer Center - Cool Springs||Nashville, Tennessee 37064|
|Vanderbilt-Ingram Cancer Center at Franklin||Nashville, Tennessee 37064|