Zobrazení zdroje stránky Pettersonfinch2214

Glioma is formed by abnormal proliferation of glial cells in the brain. T cell immunoglobulin and mucin 1 (Tim-1) is linked to cancer development. This study aimed to assess Tim-1 functions in biological behaviors.<br /><br /> The glioma tissues and paracancerous tissues were collected. The pathological morphology of glioma and positive expression of Tim-1 were evaluated. The sh-Tim-1 lentivirus vector was infected into U251 and U87 cells to evaluate glioma cell malignant behaviors. The differentially expressed terms in glioma cells were analyzed by Agilent microarray analysis, and enrichment analyses were performed. Levels of cytokines (TGF-β1, IL-6, IL-4 and IL-10) and the PI3K/AKT pathway were measured. U87 cells with sh-Tim-1 were transplanted into nude mice, and the volume and weight of tumors were measured.<br /><br /> Tim-1 levels in glioma tissues and cells were higher than those in glial tissues and cells. Tim-1 knockdown prevented glioma cell proliferation, invasion and migration, and reduced TGF-β1, IL-6, IL-4 and IL-10 levels of glioma. Co-treatment of PI3K/AKT pathway activator and knockdown Tim-1 partially reversed these outcomes. After Tim-1 knockdown, tumor volume and weight and Ki67-positive rate of nude mice were diminished.<br /><br /> Tim-1 knockdown inhibited biological behaviors of glioma cells through the PI3K/AKT pathway, which may provide a novel therapy for glioma.<br /><br />Tim-1 knockdown inhibited biological behaviors of glioma cells through the PI3K/AKT pathway, which may provide a novel therapy for glioma.<br /><br /> Hypoxia-mediated tumor metastasis, progression and drug resistance are major clinical challenges in ovarian cancer. Meanwhile, the genetic basis of these traits is still not clear. RT-qPCR, as an efficient and sensitive gene expression technique, has been widely used for gene analyses, providing a basis for in-depth understanding of molecular changes in different microenvironments. However, there is currently a lack of suitable reference genes to normalize the data associated with hypoxia in ovarian cancer cells.<br /><br /> A systematic method is needed to select the most suitable reference gene. Here, eight candidate reference genes (GAPDH, β-actin, 18S RNA, TUBB, PPIA, TBP, RPL13A and SDHA) from humans were selected to assess their expression levels in SKOV3 cells under hypoxia. The geNorm and NormFinder programs were utilized to evaluate the expression stabilities of these selected candidate reference genes.<br /><br /> Interestingly, 18S RNA was considered to be an ideal reference gene for the normalization of target gene expression under hypoxic conditions. Furthermore, this result was confirmed in another two ovarian cancer cell line, CAOV3 and OVCAR3 cell line. Finally, these results suggest that appropriate reference genes should be selected before performing gene expression analysis during hypoxic environmental exposure.<br /><br /> 18S RNA can be used as an appropriate reference gene for the study of gene expression in ovarian cancer samples under hypoxia by RT-qPCR.<br /><br />18S RNA can be used as an appropriate reference gene for the study of gene expression in ovarian cancer samples under hypoxia by RT-qPCR.In prostate cancer, distant organ metastasis is the leading cause of patient death. Although the mechanism of malignant tumor metastasis is unclear, studies have confirmed that integrin αVβ3 plays an important role in this process. In prostate cancer, αVβ3 mediates adhesion, invasion, immune escape and neovascularization through interactions with different ligands. [https://www.selleckchem.com/products/caffeic-acid-phenethyl-ester.html click here] Among these ligands and in addition to proteins that are directly related to tumor invasion, other proteins that contain the RGD structure could also bind to αVβ3 and cause a number of biological effects. In this article, we summarized the ligand and downstream proteins related to αVβ3-mediated prostate cancer metastasis as well as some diagnostic and therapeutic measures targeting αVβ3.<br /><br /> To explore the role of FKBP prolyl isomerase 10 (<br /><br /> ) protein in the progression of gastric cancer.<br /><br /> Four independent gastric cancer databases (GSE27342, GSE29272, GSE54129 and TCGA-STAD) were used to identify differentially expressed genes (DEGs). Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis was used to identify the abnormally active pathways in patients with gastric cancer. Univariate Cox regression analysis was used to identify genes with stable prognostic value in gastric cancer patients based on three independent gastric cancer databases (GSE15459, GSE62254, TCGA-STAD). Gene set enrichment analysis (GSEA) was used to explore the possible pathways related to <br /><br /> . The reverse transcription-polymerase chain reaction (RT-PCR) was employed to determine the expression of <br /><br /> mRNA in the HGC-27 and MKN-7 cell lines. Adhesion assay was used to detect changes in cell adhesion ability. <br /><br /> , <br /><br /> , <br /><br /> , <br /><br /> , <br /><br /> , <br /><br /> , <br /><br /> <br /><br /> <br /><br /> , <br /><br /> <br /><br /> <br /><br /> , <br /><br /> , and β-actin were evaluated by Western blot (WB).<br /><br /> We first performed diffed could be used as a potential target for future treatment of GC.<br /><br /> Long noncoding RNAs (lncRNAs) play a critical role in tumorigenesis and progression of ovarian cancer (OC). This study focused on the function and potential mechanism toward LEMD1-AS1 (LEMD1 antisense RNA 1) in the progression of ovarian cancer.<br /><br /> The expression of LEMD1-AS1 in OC tissues was evaluated in TCGA and Gene Expression Omnibus datasets (GSE119056) and confirmed in OC cell lines via qRT-PCR (quantitative real-time polymerase chain reaction). Then, the location of LEMD1-AS1 in the cytoplasmic and nuclear RNAs extracted from OV cells was detected by qRT-PCR. Cell Counting Kit-8 (CCK-8), colony formation, wound-healing and transwell assays were applied to examine cell viability, proliferation, migration and invasion, respectively. Further, the effect of LEMD1-AS1 on OC tumor growth was determined via subcutaneous xenotransplanted tumor model. The potential target for LEMD1-AS1 was validated via dual-luciferase activity assay, RNA pull-down and RNA immunoprecipitation.<br /><br /> The expression of LEMD1-AS1 was decreased in OC tissues and cell lines. Forced overexpression of LEMD1-AS1 inhibited the proliferation, migration and invasion of ovarian cancer cells and transplanted tumor growth in nude mice. We found that LEMD1-AS1 was mainly located in the cytoplasm of OC cells and contained complementary sites of miR-183-5p. Mechanistically, our results showed that LEMD1-AS1 could directly interact with miR-183-5p and tumor protein p53 (TP53). The anti-tumor role of LEMD1-AS1 on OC progression depended on miR-183-5p-mediated TP53 expression.<br /><br /> LEMD1-AS1 suppresses OC progression through sponging miR-183-5p and regulation of TP53, suggesting a novel biomarker and target for OC.<br /><br />LEMD1-AS1 suppresses OC progression through sponging miR-183-5p and regulation of TP53, suggesting a novel biomarker and target for OC.