CT and clinical characteristics that predict risk of EGFR mutation in non-small cell lung cancer: a systematic review and meta-analysis.

INTRODUCTION: To systematically analyze CT and clinical characteristics to find out the risk factors of epidermal growth factor receptor (EGFR) mutation in non-small cell lung cancer (NSCLC). Then the significant characteristics were used to set up a mathematic model to predict EGFR mutation in NSCLC. MATERIALS AND METHODS: PubMed, Web of Knowledge and EMBASE up to August 17, 2018 were systematically searched for relevant studies that investigated the evidence of association between CT and clinical characteristics and EGFR mutation in NSCLC. After study selection, data extraction, and quality assessment, the pooled odds ratios (ORs) were calculated. Then from May 2017 to August 2018, all NSCLC received EGFR mutation examination and CT examination in our hospital were chosen to test the prediction model by receiver operating characteristic (ROC) curves. RESULTS: Seventeen original studies met the inclusion criteria. The results showed that the ORs of ground-glass opacity (GGO), air bronchogram, pleural retraction, vascular convergence, smoking history, female gender were, respectively, 1.93 (P = 0.003), 2.09 (P = 0.03), 1.59 (P < 0.01), 1.61 (P = 0.001), 0.28 (P < 0.01), 0.35 (P < 0.01). The result of speculation, cavitation/bubble-like lucency, lesion shape, margin, pathological stage were, respectively, 1.19 (P = 0.32), 0.99 (P = 0.97), 0.82 (P = 0.42), 1.02 (P = 0.90), 0.77 (P = 0.30). 121 NSCLC received EGFR mutation test were included to test the prediction model. The mathematical model based on the results of meta-analysis was: 0.74 × air bronchogram + 0.46 × pleural retraction + 0.48 × vascular convergence - 1.27 × non-smoking history - 1.05 × female. The area under the ROC curve was 0.68. CONCLUSION: Based on the current evidence, GGO presence, air bronchogram, pleural retraction, vascular convergence were significant risk factors of EGFR mutation in NSCLC. And the prediction model can help to predict EGFR mutation status.

[Expression, purification and antigen activity analysis of the N-terminal domain of lipoprotein LppQ of Mycoplasma mycoide subsp. mycoides SC].

The gene sequence coding the N-terminal domain of LppQ was amplified from Mycoplasma mycoides subsp. mycoides SC (MmmSC) HVRI X strain by PCR using special primers and was cloned into the EcoR I /Sal I sites of pET32a vector to construct the expression recombinant plasmids. The recombinant plasmids were indentified by restriction digestion, PCR and sequence analysis. The gene was overexpressed in Escherichia coli BL21 (DE3) host cell and the soluble protein was purified with Ni-NTA His. Bind purification kits. The amount of recombinant protein reached 53.7% of the total mass of bacterial protein. The purity of recombinant protein reached to over 95 %. The antigen activity of the purified protein was examined with Western blot analysis. The purified protein reacted strongly with the standard positive serum and didn't react with the negative sera of contagious bovine pleuropneumonia(CBPP).