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Objectives Metabolic reprogramming is well accepted as a hallmark of cancer. This study aimed to explore the role of Kruppel-like factor 2 (KLF2) in aerobic glycolysis and glutamine consumption of energy metabolism in non-small cell lung cancer (NSCLC) cells. Methods Two different NSCLC cells, A549 and NCI-H1299, were used to investigate the role of KLF2 in glycolysis and glutamine consumption by tracer technique and KLF2 transfection. Key findings The results showed that overexpression KLF could inhibit the energy metabolism and proliferation of NSCLC cells, but had no significant effect on glycolysis reaction and only affected the glutamine consumption of NSCLC cells. In NSCLC cells exposed to glutamine deprivation, the effect of overexpression of KLF2 on cell proliferation and energy metabolism disappeared. It was found that KLF2 could inhibit the expression of glutaminase (GLS) by metabolite tracing technique and so on. However, when GLS inhibitors were given to overexpressing KLF2 NSCLC cells, the intervention effect of KLF2 disappeared. Conclusions Kruppel-like factor 2 could decrease the level of glutamine, participate in the consumption of glutamine by cancer cells, and then inhibit the energy metabolism of cancer cells.

Angiopoietin-like protein (ANGPTL) 4 is a key factor in the regulation of lipid and glucose metabolism in metabolic diseases. ANGPTL4 is highly expressed in various cancers, but the regulation of energy metabolism in tumours remains to be determined. This study explored the role of ANGPTL4 in aerobic glycolysis, glutamine consumption and fatty acid oxidation in nonsmall cell lung cancer (NSCLC) cells. Two NSCLC cell lines (A549 and H1299) were used to investigate the role of ANGPTL4 in energy metabolism by tracer techniques and with Seahorse XF technology in ANGPTLs4 knockdown cells. RNA microarrays and specific inhibitors were used to identify targets in ANGPTLs4-overexpressing cells. The results showed that knockdown of ANGPTLs4 could inhibit energy metabolism and proliferation in NSCLC. ANGPTLs4 had no significant effect on glycolysis but affected glutamine consumption and fatty acid oxidation. Knockdown of ANGPTLs4 also significantly inhibited tumour metastasis and energy metabolism in mice and had a weak effect on glycolysis. RNA microarray analysis showed that ANGPTLs4 significantly affected glutaminase (GLS) and carnitine palmitoyl transferase 1 (CPT1). ANGPTLs4-overexpressing cells were exposed to a glutamine deprivation environment, and cell proliferation and energy metabolism were significantly decreased but still differed from normal NSCLC cells. Treatment of ANGPTLs4-overexpressing cells with GLS and CPT1 inhibitors simultaneously prevented the regulatory effects on cell proliferation and energy metabolism. ANGPTLs4 could promote glutamine consumption and fatty acid oxidation but not glycolysis or accelerate energy metabolism in NSCLC.

To explore the hematological and clinical features of patients with malignant lymphoma (ML) combined with venous thromboembolism (VTE).Sixty patients with ML combined with VTE in our hospital from May 2014 to May 2016 were enrolled in ML+VTE group, out of them 42 patients were males and 18 patients with females; another 60 patients with ML alone were enrolled in control group, out of them 43 patients were males and 17 patients females. The hematological, coagulation and clinical datas of all the patients were collected and then retrospectively analyzed.About 81.54% of the patients in ML+VTE group were found in Stage ⅢB-Ⅳ tumor, and about 66.67% patients were found after ML was diagnosed; about 85.00% were with deep vein thrombosis (DVT), 10.00% were with pulmonary embolism (PE), and 5.00% were complicated with both DVT and PE. Common DVT locations in 56.67% cases were the upper limb and the neck vein(56.67%); The total effective rate of the cases with DVT was 49.02%, and the rate of cases with PE was 14.29%, and 0 in the cases with both DVT and PE, the difference was statistically significant (χHemaorheology and coagulation of patients with ML combined with VTE indicate changes in the sensitivity state of thromboembolism; DVT, which is commonly manifested in the upper limb and the neck vein, and it mainly observed in patients with end-stage.

Aiming at the problem that signal snapshot data of the target is sparse and conventional algorithm is difficult to obtain the signal subspace ,a new DOA decorrelation algorithm based on improved covariance matrix is proposed. Firstly, the received single snapshot data is pretreated by cross-correlation , then the equivalent covariance matrix is reconstructed by using the data obtained from the pretreatment, and then the DOA estimation of coherent signals is completed based on the MUSIC algorithm. Without losing the aperture of the array ,the proposed algorithm ensures the accuracy of the spectral estimation . Simulation results demonstrate that the proposed algorithm can achieve better performance than that of traditional method in high-speed mobile scenarios.