Resistance to chemotherapeutic drugs remains a great obstacle to successful treatment of gliomas. Understanding the mechanism of glioma chemoresistance is conducive to develop effective strategies to overcome resistance. Astrocytes are the major stromal cells in the brain and have been demonstrated to play a key role in the malignant phenotype of gliomas. However, little is known regarding its role in glioma chemoresistance. In our study, we established a co-culture system of human astrocytes and glioma in vitro to simulate tumor microenvironment. Our results showed that astrocytes significantly reduced glioma cell apoptosis induced by the chemotherapeutic drugs temozolomide and vincristine. This protective effect was dependent on direct contact between astrocytes and glioma cells through Cx43-GJC. Moreover, in human glioma specimens, we found astrocytes infiltrating around the tumor, with a reactive appearance, suggesting that these astrocytes would play the same chemoprotective effect on gliomas in vivo. Our results expand the understanding of the interaction between astrocytes and glioma cells and provide a possible explanation for unsatisfactory clinical outcomes of chemotherapeutic drugs. Cx43-GJC between astrocytes and glioma cells may be a potential target for overcoming chemoresistance in gliomas clinically.
Cluster test selection is proposed as an efficient regression testing approach. It uses some distance measures and clustering algorithms to group tests into some clusters. Tests in a same cluster are considered to have similar behaviors. A certain sampling strategy for the clustering result is used to build up a small subset of tests, which is expected to approximate the fault detection capability of the original test set. All existing cluster test selection methods employ unsupervised clustering. The previous test results are not used in the process of clustering. It may lead to unsatisfactory clustering results in some cases. In this paper, a semi-supervised clustering method, namely semi-supervised Kmeans (SSKM), is introduced to improve cluster test selection.
To assess the effectiveness of continuous lumbar drainage (LD) for management of postoperative cerebrospinal fluid leaks after endoscopic endonasal transsphenoidal approach for resection of pituitary adenoma.Three hundred eighty-four medical records of patients who were admitted to our institute during a 2.5-year period were retrospectively reviewed, 33 of them experienced low-flow cerebrospinal fluid leak postoperatively. If LD was used, all patients with low-flow cerebrospinal fluid leak were classified into 2 groups, lumbar drained group and conservatively treated group. The age, sex, management of cerebrospinal fluid leaks, and related complications were reviewed. Statistical comparisons between the 2 groups were made using SPSS 19.0 (IBM Corp, Armonk, NY). The differences were considered statistically significant if the P value was less than 0.05.Thirty-three of 384 (8.6%) experienced low-flow postoperative cerebrospinal fluid leaks. Cured rate of cerebrospinal fluid leak was 94.4% (17/18) in continuous lumbar drained group, and 93.3% (14/15) in control group. There were 2 (11.2%) patients who developed meningitis in the LD group and 1 (5.6%) patient in the control group. One patient required endoscopic repair of skull base because of persistent cerebrospinal fluid leak in both groups, with the rates of 5.6% and 6.7%, respectively. There was no significant difference noted in each rate in both groups.Placement of LD may not be necessary for the management of low-flow postoperative cerebrospinal fluid leak after using endoscopic endonasal transsphenoidal approach to pituitary adenoma.
In recent years, semantic segmentation method based on deep learning provides advanced performance in medical image segmentation. As one of the typical segmentation networks, U-Net is successfully applied to multimodal medical image segmentation. A recurrent residual convolutional neural network with attention gate connection (R2AU-Net) based on U-Net is proposed in this paper. It enhances the capability of integrating contextual information by replacing basic convolutional units in U-Net by recurrent residual convolutional units. Furthermore, R2AU-Net adopts attention gates instead of the original skip connection. In this paper, the experiments are performed on three multimodal datasets: ISIC 2018, DRIVE, and public dataset used in LUNA and the Kaggle Data Science Bowl 2017. Experimental results show that R2AU-Net achieves much better performance than other improved U-Net algorithms for multimodal medical image segmentation.
Osteopontin (OPN), a multifunctional glycoprotein, has three transcripts that have distinct roles in tumors in vitro. Whether OPN transcripts have different functions in tumor processes in vivo is unclear. It has been reported that immune cell-derived OPN can promote tumor formation. We propose a hypothesis that tumor-derived OPN may facilitate tumor immune escape by affecting immune cell differentiation and function. In this study, we constructed lentiviral expression vectors of OPN transcripts and transfected them into the MCF-7 cell line. MCF-7 cells transfected with OPN transcripts were injected into the armpit of nude mice, and tumor growth was monitored. The results showed that all OPN transcripts promoted local tumor formation, but that there was no significant difference among transcripts. We also investigated the effect of the OPN expressed by tumor cells on monocyte differentiation by coculturing monocytes with tumor supernatant. We found OPN-c upregulated CD163 levels compared with OPN-a and OPN-b; however, none of the transcripts affected HLA-DR and CD206 levels. All OPN transcripts significantly inhibited TNF-a and enhanced IL-10 production by monocytes. Furthermore, we found that the overexpression of OPN transcripts significantly upregulated TGF-b1 and MCP-1 production by tumor cells. Using neutralizing antibody and recombinant cytokines, we found that OPN overexpressed by tumor cells regulates the production of TNF-a and IL-10 by monocytes partly via MCP-1 and TGF-b1, respectively. Collectively, our results show that OPN transcripts have no distinct role in breast cancer formation in vivo. We also demonstrate that OPN regulates the alternative activation of monocytes via TGF-b1 and MCP-1, which may represent an additional mechanism for tumor immune escape.
Malignant glioma is notorious for its aggressiveness and poor prognosis, and the invasiveness of glioma cells is the major obstacle. Accumulating evidence indicates that kinesin superfamily proteins (KIFs) may play key roles in tumor invasiveness, but the mechanisms remained unresolved. Our previous study demonstrated that membrane type 1-matrix metalloproteinase (MT1-MMP) was involved in Kinesin family member 1B (KIF1B)-modulated invasion of gastric cancer cells. Therefore, the role of KIF1B in glioma cell invasion and its relationship with MT1-MMP were explored in the present study. We found that aberrantly increased expression of KIF1B was associated with worse WHO pathological classification and Karnofsky performance status (KPS), which also showed a trend towards worse prognosis. In the transwell assay, knockdown of KIF1B using siRNA repressed U87MG and A172 glioma cell migration and invasion. Silencing KIF1B inhibited expression of membranal MT1-MMP; however, the amount of MT1-MMP in the whole cell lysate was not affected. In conclusion, targeting KIF1B may be an option for anti-invasive therapies targeting glioma.
The expression of the gene encoding myostatin (MSTN), the product of which is a negative regulator of skeletal muscle growth and development in mammals, is regulated by many cis-regulatory elements, including enhancer box (E-box) motifs. While E-box motif mutants of MSTN exhibit altered expression of myostatin in many animal models, the phenotypes of these mutations in chicken are not investigated. In this study, we cloned and sequenced the full encoded DNA sequence of MSTN gene and its upstream promoter region in Wenshang Luhua chicken breed. After analysis of the sequence, 13 E-box motifs were identified in the MSTN promoter region, which were denoted by E1 to E13 according to their positions in the region. Although many single nucleotide polymorphisms (SNPs) were revealed in the MSTN promoter region, only two SNPs were in the E-boxes, i.e., the first nucleotide of the E3 and the fifth nucleotide of E4. The effects of these two polymorphisms on the expression of MSTN gene were explored both with MSTN-GFP reporter constructs in vitro and real-time PCR in vivo. The results suggested that the E-boxes in the chicken MSTN promoter region are involved in the regulation of myostatin expression and the polymorphisms in E3 and E4 altered the expression of myostatin.
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