Molecular Fingerprinting of Lung Cancer

Trial Information

Molecular Fingerprinting of Lung Cancer

OBJECTIVES:

- Develop statistical and computational methods for modeling the relationships between
multiple variable protein and RNA expression data and clinical endpoints using both
supervised and unsupervised classification and pattern recognition approaches.

- Determine protein and RNA expression fingerprints on completely resected non-small cell
lung cancer without prior chemotherapy.

- Correlate protein and RNA expression fingerprints with T-stage and nodal involvement at
the time of surgery, and collect outcome data to allow correlation with recurrence
(local and/or distant) and survival.

OUTLINE: This is a multicenter study.

Any excess tissues removed from surgery and would otherwise be discarded (tissues not used
for diagnosis and/or treatment decision making) are obtained for this study. Tissue are
analyzed for molecular features that predict biologic behavior. Quantitation of RNA, gene
expression profiles, and protein expression patterns are assessed by matrix-assisted laser
desorption/ionization time of flight mass spectroscopy and microarray analysis.

Medical records are reviewed to obtain information about results of tests associated with
cancer diagnosis. Further progress in cancer treatment and tumor behavior after surgery are
followed via record review.