Small nucleolar RNA host gene 22 (SNHG22) promotes the progression of esophageal squamous cell carcinoma by miR-429/SESN3 axis.

BACKGROUND: It has been observed that lncRNAs have been taking part in many cancer progressions, including non-small cell lung cancer and gastric cancer. Meanwhile, lncRNA small nucleolar RNA host gene 22 (SNHG22) has been studied, taking part in the progression of ovarian epithelial carcinoma. However, we know little about the function of SNHG22 in esophageal squamous cell carcinoma (ESCC). METHODS: In this study, we will explore the inner mechanism of SNHG22 in ESCC. Quantitative real-time PCR (qRT-PCR) assay was implemented in ESCC cells for detecting the expression of lncRNA, SNHG22, and miR-429. Also, functional experiments, including CCK8 and colony formation assay, were implemented to assess the growth of ESCC cells. Meanwhile, flow cytometry analysis was conducted to test the apoptosis of ESCC cells. The immunofluorescence (IF) assay and western blot were conducted to verify the autophagy of ESCC cells. RESULTS: Inhibition of SNHG22 was found that can inhibit the progression and promotes autophagy and apoptosis of ESCC cells. Meanwhile, as subcellular fraction assay and FISH assay found that SNHG22 mainly in the cytoplasm, miR-429 was found can bind to SNHG22 and SESN3 by RIP assay and luciferase reporter assay. SESN3 was found it can play the oncogene in ESCC cells. CONCLUSIONS: SNHG22 promotes the progression of ESCC by the miR-429/SESN3 axis.

A gene expression-based study on immune cell subtypes and glioma prognosis.

OBJECT: Glioma is a common malignant tumours in the central nervous system (CNS), that exhibits high morbidity, a low cure rate, and a high recurrence rate. Currently, immune cells are increasingly known to play roles in the suppression of tumourigenesis, progression and tumour growth in many tumours. Therefore, given this increasing evidence, we explored the levels of some immune cell genes for predicting the prognosis of patients with glioma. METHODS: We extracted glioma data from The Cancer Genome Atlas (TCGA). Using the Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm, the relative proportions of 22 types of infiltrating immune cells were determined. In addition, the relationships between the scales of some immune cells and sex/age were also calculated by a series of analyses. A P-value was derived for the deconvolution of each sample, providing credibility for the data analysis (P < 0.05). All analyses were conducted using R version 3.5.2. Five-year overall survival (OS) also showed the effectiveness and prognostic value of each proportion of immune cells in glioma; a bar plot, correlation-based heatmap (corheatmap), and heatmap were used to represent the proportions of immune cells in each glioma sample. RESULTS: In total, 703 transcriptomes from a clinical dataset of glioma patients were drawn from the TCGA database. The relative proportions of 22 types of infiltrating immune cells are presented in a bar plot and heatmap. In addition, we identified the levels of immune cells related to prognosis in patients with glioma. Activated dendritic cells (DCs), eosinophils, activated mast cells, monocytes and activated natural killer (NK) cells were positively related to prognosis in the patients with glioma; however, resting NK cells, CD8+ T cells, T follicular helper cells, gamma delta T cells and M0 macrophages were negatively related to prognosis in the patients with glioma. Specifically, the proportions of several immune cells were significantly related to patient age and sex. Furthermore, the level of M0 macrophages was significant in regard to interactions with other immune cells, including monocytes and gamma delta T cells, in glioma tissues through sample data analysis. CONCLUSION: We performed a novel gene expression-based study of the levels of immune cell subtypes and prognosis in glioma, which has potential clinical prognostic value for patients with glioma.

The Adverse Events of Oxycodone in Cancer-Related Pain: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

The adverse events (AEs) of oxycodone in cancer-related pain were controversial, so we conducted a meta-analysis to determine it. PubMed, Embase, CBM, CNKI, WanFang database, The Cochrane library, Web of Science, and the reference of included studies were searched to recognize pertinent studies. Relative risk (RR) with 95% confidence intervals (CIs) for all AEs were all extracted. The fixed-effects model was used to calculate pooled RRs and 95% CIs. Power calculation was performed using macro embedded in SAS software after all syntheses were completed. We identified 11 eligible trials involving 1211 patients: 604 patients included in oxycodone group and 607 patients involved in control group. Our quantitative analysis included 8 AEs, and the pooled analyses indicated that oxycodone compared with other opioids in cancer-related pain were not significantly decreased RRs of all AEs (dizziness RR = 0.94, 95% CI: 0.69-1.30, Z = 0.35, P = 0.72; nausea RR = 0.88, 95% CI: 0.72-1.07, Z = 1.26, P = 0.21; vomiting RR = 0.89, 95% CI: 0.70-1.15, Z = 0.9, P = 0.37; sleepiness RR = 0.86, 95% CI: 0.38-1.36, Z = 0.36, P = 0.72; constipation RR = 0.98, 95% CI: 0.81-1.19, Z = 0.21, P = 0.83; anorexia RR = 0.97, 95% CI = 0.58-1.62, Z = 0.11, P = 0.91; pruritus RR = 0.76, 95% CI: 0.44-1.30, Z = 1.01, P = 0.31; dysuria RR = 0.33, 95% CI: 0.07-1.62, Z = 1.36, P = 0.1)]. The subgroup analysis shown that Ox controlled-release (CR) had less sleepiness compared with MS-contin (Mc) CR (RR = 0.47, 95% CI: 0.25-0.90, P = 0.02). The power analysis suggests that all AEs have low statistical power. The present meta-analysis detected that no statistically significant difference were found among oxycodone and other opioids in all AEs, but Ox CR may had less sleepiness compared with Mc CR when subgroup analysis were conducted.

Bioethanol from lignocellulosic biomass.

China is suffering from a sustained shortage of crude oil supply, making fuel ethanol and other biofuels alternative solutions for this issue. However, taking into account the country's large population and dwindling arable land due to rapid urbanization, it is apparent that current fuel ethanol production from grain-based feedstocks is not sustainable, and lignocellulosic biomass, particularly agricultural residues that are abundantly available in China, is the only choice for China to further expand its fuel ethanol production, provided economically viable processes can be developed. In this chapter, cutting edge progress in bioethanol is reviewed, with a focus on the understanding of the molecular structure of the feedstock, leading pretreatment technologies, enzymatic hydrolysis of the cellulose component and strategies for the co-fermentation of the C5 and C6 sugars with engineered microorganisms. Finally, process integration and optimization is addressed with a case study on the COFCO Corporation's pilot plant, and challenges and perspectives for commercial production of bioethanol are highlighted.