Cancer cells are characterized by abnormally increased glucose uptake and active bio-energy and biosynthesis to support the proliferation, metastasis, and drug resistant survival. We examined the therapeutic value of the combination of apigenin (a natural small-molecule inhibitor of Glut1 belonging to the flavonoid family) and gefitinib on epidermal growth factor receptor (EGFR)-resistant mutant non-small cell lung cancer, to notably damage glucose utilization and thus suppress cell growth and malignant behavior. Here, we demonstrate that apigenin combined with gefitinib inhibits multiple oncogenic drivers such as c-Myc, HIF-1α, and EGFR, reduces Gluts and MCT1 protein expression, and inactivates the 5′ adenosine monophosphate-activated protein kinase (AMPK) signaling, which regulates glucose uptake and maintains energy metabolism, leading to impaired energy utilization in EGFR L858R-T790M-mutated H1975 lung cancer cells. H1975 cells exhibit dysregulated metabolism and apoptotic cell death following treatment with apigenin + gefitinib. Therefore, the combined apigenin + gefitinib treatment presents an attractive strategy as alternative treatment for the acquired resistance to EGFR-TKIs in NSCLC.

Golgi phosphoprotein 2 (GOLPH2) has been associated with the development and progression of various human cancers. The aims of this study were to investigate the relationship between GOLPH2 and gastric cancer (GC) progression and explore the clinical significance of GOLPH2 in GC. GOLPH2 expression was examined in four pairs of primary GC tissues and the adjacent non-cancerous tissues from the same patients, using immunohistochemistry (IHC), quantitative PCR and western blotting. Furthermore, GOLPH2 protein expression was analyzed in 10 normal gastric tissues and 385 clinicopathologically characterized cases of GC by IHC. Statistical analyses were performed to determine the prognostic and diagnostic associations. GOLPH2 mRNA and protein expression were both markedly upregulated in GC tissues, compared with the paired adjacent non-cancerous tissues. The Chi-square test and Spearman analysis revealed a significant correlation between GOLPH2 expression and clinical stage, T classification, lymph node metastasis, metastasis and venous invasion. Patients with a higher GOLPH2 expression had a shorter overall survival (OS), compared to patients with lower GOLPH2 expression. Notably, our results suggested that GOLPH2 is associated with the development and progression of GC. Therefore, additional studies focusing on the potential of GOLPH2 as a novel therapeutic target in GC are required.

Permutation Entropy (PE) has been widely applied as a non-linear statistical indicator to evaluate the complexity change of time series. Though it is conceptually simple and computationally fast, PE encounters a few limitations, for example, the amplitude differences in time series are neglected, and the symbolic sequences generated from equal values are according to their emergence order. In this paper, an Edge Permutation Entropy (EdgePE) measure is proposed to improve the performance of PE, mainly overcoming its lack of ability to differentiate between amplitude differences in motifs that correspond to the same order pattern. The advantage of EdgePE relies on that amplitude change information can be identified and distinguished by considering information underlying in the "edge" distance between data points in reconstructed embedded vectors. For demonstrating its improvement, the proposed EdgePE and related improved PE approaches are compared to analyze synthetic time series and experimental rolling bearing data sets respectively. The results indicate that the EdgePE can effectively characterize amplitude changes in time series (e.g., for spike and stuck detection) and improve the accuracy of pattern recognition for rolling bearing fault diagnosis compared to that of the conventional PE.

No abstract

No abstract