Proteomic Analysis of Human Lung Cancer Cell Lines

ABSTRACT The causes and morphological appearances of human lung cancers are variable. We analyzed thirty seven lung cancer cell lines including thirty adenocarcnima (ADC), three small cell carcinoma (SCLC), one large cell carcinoma (LCC) and one adenosquamous carcinoma (AdSq) with LC/MS and identified less than 500 proteins of each cell line. We compared proteomic profiles between EGFR mutations and K-Ras mutations, smokers and non/less-smokers, and non-small cell carcinoma (NSCLC) and small cell carcinoma (SCLC). Eleven proteins, CALR, KYNU, SLC3A2, ALDH2, PGD, LAP3, DLC1, KIAA0664, ILKAP, ABCA13 and PTGR1 are related to the relationship between cell lines with EGFR mutations and K-Ras mutations and some of them are associated to the signal network of cell cycle. Twelve proteins, PPP2R1B, RAP1A, RPS3, RNF113, TGM2, KIF22, UBA6, IFT122, IFI16, AKR1C1/AKR1C2, RPS5 and AKR1C3 are related to the relationship between cell lines in from non/less-smokers and those from smokers and all proteins are associated to the signal network of cell morphology. Fifteen proteins, ANXA2, P4HB, ACTN4, MSN, ANXA5, IDH2, DPYSL2, DPYSL3, DPYSL5, CKB, IPO8, MAP1B, ETFA, TRIM28 and USP5, are related to the relationship between cell lines of NSCLC and SCLC, and some of them are associated to many signal pathways including cancer. Principle Component Analaysis could separate NSCLC from SCLC distinctly. We also detected common proteins among each group as candidate markers of cancer stem cells. AKR1C1/AKR1C2 was detected as common proteins between EGFR mutations vs K-ras mutations and smokers vs non/less smokers and has been reported as one of cancer stem cell markers. These results suggested that this methodology was very useful to detect not only specific proteins of each group but also protein-related signal pathways. Disclosure All authors have declared no conflicts of interest.