Metformin Triggers Autophagy to Attenuate Drug-Induced Apoptosis in NSCLC Cells, with Minor Effects on Tumors of Diabetic Patients.

The biologic plausibility of an association between type 2 diabetes mellitus (T2D) and lung cancer has received increasing attention, but the results of investigations remain largely inconclusive. In the present study we investigated the influence of the anti-diabetic drug metformin on the cytotoxic effects of EGFR targeted therapy and chemotherapy in 7 non-small cell lung cancer (NSCLC) cell lines and a cohort of lung cancer patients with/without T2D. In vitro cell viability assays indicated that metformin didn't potentiate the growth inhibitory effects of erlotinib at different doses in cell lines that are of distinct genetic background. EGFR downstream signaling evaluation further demonstrated that metformin, at its IC50 value, modified apoptosis caused in erlotinib or chemotherapeutic agent-treated cells via AKT activation and the inhibition of caspase 3 and PARP cleavages. These regulations were driven independently from EGFR, LKB1, KRAS, PTEN and p53 status. Metformin triggered autophagy (LC3B expression) was identified to interplay with apoptosis to attenuate the drug effect and postpone cancer cell death. In the retrospective study of 8 NSCLC patients, the administration of metformin did not induce statistically significant changes as assessed by immunohistochemical staining of pERK, pAKT and cleaved PARP. Consequently, the application of metformin for T2D NSCLC patients receiving chemo or EGFR targeted therapy should be considered with caution.

Genetic alterations in the tyrosine kinase transcriptome of human cancer cell lines.

Protein tyrosine kinases (PTKs) play a critical role in the manifestation of cancer cell properties, and respective signaling mechanisms have been studied extensively on immortalized tumor cells. To characterize and analyze commonly used cancer cell lines with regard to variations in the primary structure of all expressed PTKs, we conducted a cDNA-based sequence analysis of the entire tyrosine kinase transcriptome of 254 established tumor cell lines. The profiles of cell line intrinsic PTK transcript alterations and the evaluation of 155 identified polymorphisms and 234 somatic mutations are made available in a database designated "Tykiva" (tyrosine kinome variant). Tissue distribution analysis and/or the localization within defined protein domains indicate functional relevance of several genetic alterations. The cysteine replacement of the highly conserved Y367 residue in fibroblast growth factor receptor 4 or the Q26X nonsense mutation in the tumor-suppressor kinase CSK are examples, and may contribute to cell line-specific signaling characteristics and tumor progression. Moreover, known variants, such as epidermal growth factor receptor G719S, that were shown to mediate anticancer drug sensitivity could be detected in other than the previously reported tumor types. Our data therefore provide extensive system information for the design and interpretation of cell line-based cancer research, and may stimulate further investigations into broader clinical applications of current cancer therapeutics.