Glioblastoma is the most common malignancy of the central nervous system, and patients typically have a poor prognosis. Previous studies indicate a gender bias in the development of glioblastoma; women are at a lower risk compared with men, suggesting that estrogen may confer protective effects. Icaritin, a prenylflavonoid derivative from a Chinese herb of the Epimedium genus, selectively regulates the estrogen receptor (ER) and possesses anti‑cancer properties. The aim of the present study was to investigate the protective effects of icaritin on glioblastoma and its underlying mechanisms, with a particular focus on its association with the ER. The results demonstrated that icaritin inhibited the growth of C6 and U87‑MG glioblastoma cells in a dose‑ and time‑dependent manner. At a concentration of 12.5 µM, icaritin induced apoptosis, which was characterized by the increased expression of the cleaved forms of caspases 3, 7, 8 and 9 and poly (ADP‑ribose) polymerase, downregulation of BCL2 apoptosis regulator and upregulation of BCL2‑associated X, apoptosis regulator expression. Additionally, icaritin inhibited the migration of C6 and U87‑MG cells. The protein expression levels of matrix metalloproteinase (MMP)‑2 and MMP‑9 were also downregulated following icaritin treatment. Furthermore, icaritin treatment increased the expression of estrogen receptor (ER)β and the phosphatase and tensin (PTEN) homolog oncoprotein, thus reducing the expression of downstream targets of PTEN; protein kinase B (Akt) and phosphorylated Akt. Subsequent experiments demonstrated that icaritin cooperates with 17β‑estradiol to inhibit the growth of glioblastoma cells, and the inhibition of ERβ with the ERβ‑specific antagonist ICI 182,780, attenuated the anti‑glioblastoma effects of icaritin. In conclusion, the results of the present study demonstrate that the anti‑glioblastoma effects of icaritin may be mediated by its modulation of ERβ.

In this paper, we focus on find out the key mRNAs and the key regulatory mechanism of the different morbidity of glioblastoma multiforme (GBM) in different genders. 160 GBM patients’ RNA expressed data and clinical data were downloaded from the TCGA GBM project. 103 differential expressed mRNAs (DEmRNAs) between male and female were screened from the RNA matrix by clustering analysis. In the gene ontology (GO) analysis, the DEmRNAs were enriched in 26 GOterms, including 17 biological process (BP), 4 cellular component (CC), 5 molecular function (MF). Among them, AGTR2, CALCA, CALCB, CTSG, GCG, GCGR, HCRT, PRL and RXFP4 were found that enriched in signal pathway hsa04080. A multivariate COX model was constructed by these 9 DEmRNAs. And GCGR, HCRT and CTSG were found as the co-expression mRNAs. In the clinical data analysis, the kmplot survival curve (p = 1.63e-03) indicated that the co-expression mRNAs and the hsa04080 signal pathway would be built the potential regulatory mechanism for the treatment of GBM in different genders’ patients. And it was then proved by receiver operating characteristic (ROC) curve and area under the curve (AUC) value (AUC=0.766).

In the mortal diseases, lung cancer, approximately one fifth of lung adenocarcinoma(LUAD) patients are associated with brain metastasis(BM). And even some patients die of BM. In the present research, the 22753 genes data of 273 primary LUAD or BM samples were downloaded from gene expression omnibus(GEO) datasets. The 145 common differentially expressed genes(DEGs) both from GPL96 and GPL570 platform profiles were screened out by R package. Gene ontology(GO), pathway and protein protein interaction(PPI) network analysis of the DEGs was enriched by online tools. The 14 up- and 131 down-regulated genes were enriched in 18 GO terms and 147 signal pathway. Protein expression of AGRP and ESPL1 is lower in lung cancer than many other cancers. And the km-plots of lung cancer survival curves are also shown that AGRP and ESPL1 express higher in high risk groups. From the research in this paper, we can believe that AGRP and ESPL1 might be the biomarkers for the diagnostic clue of BM from LUAD.

A cave lighting control system based on Internet of Things location is designed in this paper. The design is a subsystem of the IOT electronic guiding system based on Zigbee. Structure, principle, software, hardware and network are introduced in the paper. CC2431 is used to be a node when CC2430 is used to be a router. CC2431 can know its location from the location information and RSSI of CC2430, and control the light in the cave.