Biomarker Study of Blood Samples From Patients With Non-Small Cell Lung Cancer Treated With Carboplatin and Paclitaxel With or Without Bevacizumab
Recruitment status was: Not yet recruiting
RATIONALE: Studying samples of blood in the laboratory from patients undergoing treatment for non-small cell lung cancer may help doctors predict how patients will respond to treatment.
PURPOSE: This laboratory study is looking at proteomic patterns in stored blood samples from patients undergoing treatment for non-small cell lung cancer.
Genetic: proteomic profiling
Other: laboratory biomarker analysis
Other: matrix-assisted laser desorption/ionization time of flight mass spectrometry
|Official Title:||Development of a Serum Proteomic Classifier for the Prediction of Benefit From Bevacizumab in Combination With Carboplatin and Paclitaxel|
|Study Start Date:||March 2008|
|Estimated Primary Completion Date:||April 2009 (Final data collection date for primary outcome measure)|
- To develop a serum proteomic classifier using matrix-assisted laser-desorption/ionization time-of-flight mass spectrometry analysis of blood samples from patients with non-squamous cell non-small cell lung cancer to predict benefit, in terms of survival and time to progression, from treatment with bevacizumab in combination with carboplatin and paclitaxel.
- To better quantitate candidate biomarkers by using more advanced mass spectrometric technologies, including multiple-reaction monitoring and heavy-labeled peptides.
OUTLINE: Previously collected pre-treatment samples of serum or plasma are randomly selected from patients enrolled on protocol ECOG-4599 (i.e., 60 from the bevacizumab arm and 30 from the control arm). Samples are analyzed by matrix-assisted laser-desorption/ionization time-of-flight mass spectrometry to identify patterns from protein spectra that correlate with patient survival.
Please refer to this study by its ClinicalTrials.gov identifier: NCT00898417
|Study Chair:||David P. Carbone, MD, PhD||Vanderbilt-Ingram Cancer Center|