Compared to standard therapy, the antitumor effects of rendezvous therapy were more effective in GBM patients without increasing the toxicities.

Rhubarb aglycone can decrease the degradation of basal lamina Col IV and the permeability of brain micrangium in cerebral ischemic rats with BMSC transplantation, and its mechanisms may be related to regulating the balance of MMP-9, especially by increasing the expression of TIMP-1.

Extragastrointestinal stromal tumors (EGIST) primarily arising from the female genital tract are extremely rare. We report a case of EGIST presenting as a recurrent vulvar mass with genetic analyses. A 59-year-old woman was found to have a 4-cm recurrent mass in the right vulva after 6 months of the first resection. Histological findings showed that the uniform spindle cells formed interlacing bundles, with high cellular density and mild to moderate atypia. Mitotic activity averaged 10 mitoses per 50 high-power fields. Immunohistochemical evaluation revealed that the tumor cells exhibited strong and diffuse staining for CD117, CD34 and DOG1. Ki67 labeling was approximately 15%. Molecular analysis showed an in-frame protein deletion (P551_Q556del) at exon 11 of c-KIT. The tumor was diagnosed as an EGIST. The patient was treated with imatinib, and was healthy at 12-month follow-up. EGIST should be considered in the differential diagnosis of vulvar mesenchymal tumors.

: The gene regulatory network (GRN) is a model for studying the function and behavior of genes by treating the genome as a whole, which can reveal the gene expression mechanism. However, due to the dynamics, nonlinearity, and complexity of gene expression data, it is a challenging task to construct a GRN precisely. In this paper, a combination method of long short-term memory network (LSTM) and mean impact value (MIV) was applied for GRN reconstruction. Firstly, LSTM was employed to establish a gene expression prediction model. To improve the performance of LSTM, a particle swarm optimization (PSO) was introduced to optimize the weight and learning rate. Then, the MIV was used to infer the regulation among genes. In order to test the proposed approach, it was applied to three datasets: a simulated dataset and two real biology datasets. By comparing with other methods, the experimental results indicate that the proposed method has higher modeling accuracy and it can be used to effectively construct a GRN. At last, in view of the fouling-forming problem of slime-forming bacteria (SFB), we have designed electromagnetic field experiments and transcriptome sequencing experiments to locate the fouling-forming genes and obtain gene expression data. And a GRN of fouling-forming genes of SFB was constructed using the proposed approach.