in a large variety of human normal and cancer tissues, as well as cell lines with the aid of IHC. IHC expression profiles for b-actin and GAPDH were evaluated on this useful database. There is an increased expression of b-actin in some lung cancer samples when compared with normal ones. However, GAPDH expression in lung cancer is highly variable. Additionally, we performed IHC analysis of CK8 expression in five AC, LC and SC samples. Positive cells for CK8 immunostaining were found in all LC and AC samples. By contrast, only three of five SC samples showed positive staining. Positively stained samples showed on average stained cells. Global gene-expression profiling has improved our understanding of the histological heterogeneity of non�Csmall cell lung cancer and has identified potential biomarkers and gene signatures for classifying patients with significantly different survival outcomes. A comprehensive understanding of the mechanisms behind carcinogenesis, tumor progression, and metastasis will require an in-depth analysis of not only the genome, but also the proteome. Analyses at the gene level cannot detect the biologic subtleties introduced through post-translational modifications of proteins and thus requires a proteomic approach. Reproducibility has been shown to compromise protein profiling in all stages, from peptide isolation methods to sample spectra acquisition and processing. In this study, we have applied phosphopeptide enrichment chromatographic techniques to reduce the complexity of human lung cancer samples and LEE011 hydrochloride analyzed isolated peptides by MALDI-TOF MS. We describe a mass peak selection method which yields a reproducible peptide profile from MALDI MS experiments using ClinProTools. Groseclose et al. described one limitation of using CPT is that peaks which may be significant among a small subset of spectra in a group, might become insignificant when averaged with the other spectra in that group. In order to evaluate as many peaks as 1802326-66-4 possible, we performed a previous step in the peak selection using CPT. In each Mx-Mt analysis, all spectra from a single sample subtype were introduced in CPT, obtaining a subtype characteristic peak list. Once all subtype lists were obtained, a new list was generated by combination, including all peaks present in these subtype lists. Afterwards, spectra from all sample subtypes were included in CPT, and all peaks in this combined list were measured. We confirmed that some discriminant peaks were exclude
