OBJECTIVES:
Primary
* 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.
Secondary
* 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.
