Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis

Background: Osteosarcoma is a solid tumor common in the musculoskeletal system. The DEAD-box helicase (DDX) families play an important role in tumor genesis and proliferation. Objective: To screen potential molecular targets in osteosarcoma and elucidate its relationship with DDX56. Methods: We employed the Gene Expression Omnibus and The Cancer Genome Atlas datasets for preliminary screening. DDX56 expression was measured by RT-qPCR in three osteosarcoma cell lines. Biological roles of DDX56 were explored by Gene ontology, Kyoto Encyclopedia of Genes and Genomes and Ingenuity Pathway Analysis. Cell proliferation, cycle, and apoptosis assays were performed using Lentivirus TM knockdown technique. Results: It was found that DDX56 expression was regularly upregulated in osteosarcoma tissue and cell lines, while DDX56 knockdown inhibited cell proliferation and promoted cell apoptosis. Conclusions: The findings suggest DDX56 as a potential therapeutic target for the treatment of osteosarcoma.

Section: Discussionmentioning

confidence: 99%

Integrated Analysis of DEAD-Box Helicase 56: A Potential Oncogene in Osteosarcoma

Zhang

Kourkoumelis

Shen

et al. 2020

“…Recently, a study have demonstrated that the ERK/MAPK pathway contribute to the activation of MLCK (Tan et al, 2014). Therefore, a previous study has shown that overexpression of miR-126 suppressed ERK pathway activity in glioma cells and resulted in the inhibition of glioma cell proliferation and invasion (Li et al, 2017;Wang et al, 2020). In the current study, we found that miR-126 could affect the activity of MLCK contributed to endothelial dysfunction via the ERK/MAPK pathway.…”

Section: Discussionmentioning

confidence: 99%

MicroRNA-126 Modulates Palmitate-Induced Migration in HUVECs by Downregulating Myosin Light Chain Kinase via the ERK/MAPK Pathway

Wang

et al. 2020

MicroRNA-126 (miR-126) is an endothelial-specific microRNA that has shown beneficial effects on endothelial dysfunction. However, the underlying molecular mechanism is unclear. The present study evaluated the effects of miR-126 on the cell migration and underlying mechanism in HUVECs treated with palmitate. The present results demonstrated that overexpression of miR-126 was found to decrease cell migration in palmitate-treated HUVECs, with decreased MLCK expression and subsequent decreased phosphorylated MLC level. miR-126 also decreased the phosphorylation of MYPT1 in palmitate-treated HUVECs. In addition, it was demonstrated that miR-126 decreases expression of the NADPH oxidase subunits, p67 and Rac family small GTPase 1 with a subsequent decrease in cell apoptosis. Moreover, the phosphorylation of ERK was reduced by miR-126 in palmitate-induced HUVECs. Taken together, the present study showed that the effect of miR-126 on cell migration and cell apoptosis is mediated through downregulation of MLCK via the ERK/MAPK pathway.

“…Currently, many new techniques have been applied at the molecular level, such as deep learning, proteomics, and protein interaction network (Wang et al, 2019(Wang et al, , 2020Deng et al, 2020;Hu et al, 2020). Besides, several imaging techniques (Park et al, 2014;Zhou et al, 2016) and radiomics (Mu et al, 2015;Meng et al, 2017) have been reported in the assessment of patients with parametrial invasion to determine the stage and treatment of cervical cancer.…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of Cervical Cancer With Parametrial Invasion on Whole-Tumor Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined With Whole-Lesion Texture Analysis Based on T2- Weighted Images

Lin

Liu

et al. 2020

Purpose: To evaluate the diagnostic value of the combination of whole-tumor dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and whole-lesion texture features based on T2-weighted images for cervical cancer with parametrial invasion. Materials and Methods: Sixty-two patients with cervical cancer (27 with parametrial invasion and 35 without invasion) preoperatively underwent routine MRI and DCE-MRI examinations. DCE-MRI parameters (K trans , K ep , and V e) and texture features (mean, skewness, kurtosis, uniformity, energy, and entropy) based on T2-weighted images were acquired by two observers. All parameters of parametrial invasion and non-invasion were analyzed by one-way analysis of variance. The diagnostic efficiency of significant variables was assessed using receiver operating characteristic analysis. Results: The invasion group of cervical cancer demonstrated significantly higher K trans (0.335 ± 0.050 vs. 0.269 ± 0.079; p < 0.001), lower energy values (0.503 ± 0.093 vs. 0.602 ± 0.087; p < 0.001), and higher entropy values (1.391 ± 0.193 vs. 1.24 ± 0.129; p < 0.001) than those in the non-invasion group. Optimal diagnostic performance [area under curve [AUC], 0.925; sensitivity, 0.935; specificity, 0.829] could be obtained by the combination of K trans , energy, and entropy values. The AUC values of K trans (0.788), energy (0.761), entropy (0.749), the combination of K trans and energy (0.814), the combination of K trans and entropy (0.727), and the combination of energy and entropy (0.619) were lower than those of the combination of K trans , energy, and entropy values. Conclusion: The combination of DCE-MRI and texture analysis is a promising method for diagnosis cervical cancer with parametrial infiltration. Moreover, the combination of K trans , energy, and entropy is more valuable than any one alone, especially in improving diagnostic sensitivity.