Effects of laparoscopic radical prostatectomy on wound infection of surgery in patients with prostate cancer: A meta-analysis.

This meta-analysis aims to comprehensively assess the impact of laparoscopic radical prostatectomy (LRP) on wound infection in patients with prostate cancer (PCa). A systematic search was conducted, from database inception to November 2023, in EMBASE, Google Scholar, Cochrane Library, PubMed, Wanfang and China National Knowledge Infrastructure databases for randomized controlled trials (RCTs) comparing LRP with open radical prostatectomy (ORP) in the treatment of PCa. Two researchers independently screened the literature, extracted data and conducted quality assessments based on pre-defined inclusion and exclusion criteria. Stata 17.0 software was employed for data analysis. Overall, 15 RCTs involving 1458 PCa patients were included. The analysis revealed the incidence of wound infection (odds ratio [OR] = 0.28, 95% confidence interval [CI] = 0.16-0.51, p < 0.001) and complications (OR = 0.27, 95% CI = 0.20-0.37, p < 0.001) was significantly lower in the LRP group compared to the ORP group. This study demonstrates that LRP in PCa patients can effectively reduce the incidence of wound infections and complications, indicating significant therapeutic efficacy and justifying its broader clinical application.

Construction and validation of a prognostic nomogram for ductal adenocarcinoma of the prostate: A population-based study.

This study aimed to establish and validate a nomogram for ductal adenocarcinoma of the prostate (DAC) to accurately predict the prognosis of DAC patients. The data of 834 patients with confirmed DAC were obtained from the Surveillance, Epidemiology, and End Results database. The cases were randomly assigned to the training and internal validation cohorts. Data from patients attending our institution as an external validation cohort (n = 35). Nomogram and web-based dynamic nomogram were constructed based on Cox regression analysis, and their prediction accuracy was evaluated by concordance index (C-index), calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis. Multivariate analyses identified age, T-stage, N-stage, M-stage, surgery, lymph node dissection, Gleason score, and PSA as independent prognostic factors for overall survival. The C-index and calibration curves demonstrate the good discriminative performance of the prediction model. The area under the curve further confirmed the accuracy of the nomogram in predicting survival. In addition, the area under the curve and decision curve analysis were better than the 7th tumor-node-metastasis staging system. The Kaplan-Meier curves of the nomogram-based risk groups showed significant differences (P < .001). We constructed and validated the first nomogram to predict patients with DAC.

Exploring the Shared Gene Signatures and Molecular Mechanisms between Bladder Urothelial Carcinoma and Metabolic Syndrome.

BACKGROUND: The aim of this study was to investigate the common gene signatures and potential molecular mechanisms of bladder urothelial carcinoma (BLCA) and metabolic syndrome (MS). METHODS: Transcriptome data for BLCA and MS were obtained from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was utilized to identify co-expression networks associated with BLCA and MS, and five hub genes were further screened and validated using logistic least absolute shrinkage and selection operator (LASSO) regression models and receiver operating characteristic (ROC) curve, and external dataset for validation. The relationship between the hub genes and the clinicopathological characteristics and prognosis of BLCA patients was explored in the GEO and The Cancer Genome Atlas (TCGA)-BLCA cohorts, respectively. Differences in the immune microenvironment of BLCA and MS were analyzed using the database CIBERSORT and the R package "ssGSEA", and the correlation between hub genes and tumor microenvironment, immune score and targeted drugs was analyzed with the help of the TCGA-BLCA cohort. Finally, BLCA single-cell RNA (scRNA) data were used to analyze the expression levels of the hub genes in various cell types of BLCA and molecular mechanisms. RESULTS: Five hub genes were screened by WGCNA and LASSO regression analysis, namely AP2-associated protein kinase 1 (AAK1), ATP-binding cassette subfamily F member 2 (ABCF2), Mitochondrial ribosomal protein L42 (MRPL42), La-related protein 3 (SSB) and TATA-box binding protein-associated factor 10 (TAF10). Analyzed in the GEO and TCGA-BLCA cohorts, we found that the hub genes (TAF10 and ABCF2) were closely associated with the clinicopathological characteristics and prognosis of BLCA patients. In CIBERSORT, we discovered that the hub genes are closely linked to the immune microenvironment, immune score, and especially with dendritic cells (DCs). In the single-cell RNA sequencing (scRNA-seq) analysis of BLCA, we identified that SSB was significantly differentially expressed in BLCA and normal bladder tissues and that it plays an important role in the development of BLCA. CONCLUSIONS: The interaction of BLCA with MS may be associated with several cancer pathways being activated and identified TAF10 and ABCF2 as potential biomarkers and therapeutic targets for patients with BLCA and MS.

Exploring the Shared Gene Signatures and Molecular Mechanisms between Bladder Urothelial Carcinoma and Metabolic Syndrome

Background: The aim of this study was to investigate the common gene signatures and potential molecular mechanisms of bladder urothelial carcinoma (BLCA) and metabolic syndrome (MS). Methods: Transcriptome data for BLCA and MS were obtained from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was utilized to identify co-expression networks associated with BLCA and MS, and five hub genes were further screened and validated using logistic least absolute shrinkage and selection operator (LASSO) regression models and receiver operating characteristic (ROC) curve, and external dataset for validation. The relationship between the hub genes and the clinicopathological characteristics and prognosis of BLCA patients was explored in the GEO and The Cancer Genome Atlas (TCGA)-BLCA cohorts, respectively. Differences in the immune microenvironment of BLCA and MS were analyzed using the database CIBERSORT and the R package “ssGSEA”, and the correlation between hub genes and tumor microenvironment, immune score and targeted drugs was analyzed with the help of the TCGA-BLCA cohort. Finally, BLCA single-cell RNA (scRNA) data were used to analyze the expression levels of the hub genes in various cell types of BLCA and molecular mechanisms. Results: Five hub genes were screened by WGCNA and LASSO regression analysis, namely AP2-associated protein kinase 1 (AAK1), ATP-binding cassette subfamily F member 2 (ABCF2), Mitochondrial ribosomal protein L42 (MRPL42), La-related protein 3 (SSB) and TATA-box binding protein-associated factor 10 (TAF10). Analyzed in the GEO and TCGA-BLCA cohorts, we found that the hub genes (TAF10 and ABCF2) were closely associated with the clinicopathological characteristics and prognosis of BLCA patients (AU)

The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma.

Bladder urothelial carcinoma (BLCA) is the most common malignant tumor of the urinary tract with a high lethality rate, and its immunotherapy resistance and tumor recurrence have become a major challenge in its clinical treatment. G Protein-Coupled Receptors (GPRs) are the largest family of receptors on the cell membrane surface, involved in multiple signaling pathways, and are excellent targets for oncology drug action. The transcriptome profile, single cell transcriptome profile, and clinical data of BLCA were extracted and integrated from TCGA and GEO databases, respectively. The GPR-related genes were obtained from GSEA-MSigDB database. The GPR-related gene signatures of 15 genes were constructed by using the methods of least absolute shrinkage and selection operator regression, multifactor Cox model. At the same time, tumor microenvironment (TME)-score signatures were constructed based on the immune microenvironment of BLCA, and GPR-TME-score signature was further constructed. The stability of this model was verified by using the external dataset GSE160693. We constructed risk groups by combining BLCA patient prognostic information, and with the help of BLCA scRNA transcriptome profiling, we explored differences in prognosis, immune scores, cell-cell interactions, tumor mutational burden, immune checkpoints, and response to immunotherapy in each risk group. We found that the GPR-TME-score signature was an independent prognostic factor for BLCA patients. the TME-score was a protective factor for the prognosis of BLCA patients. Among BLCA patients, GPR-high + TME-low risk group had the worst prognosis, while GPR-high + TME-high risk group had the best prognosis, and the latter had better immune score and immunotherapy response. The above differences in immune response among the subgroups may be related to the higher immune cell infiltration in the GPR-high + TME-high group. GPR-related gene signatures and TME are closely related to BLCA prognosis and immunotherapy, and GPR-related gene signature can be a useful tool to assess BLCA prognosis and immunotherapy response.

SLC14A1 is a new biomarker in renal cancer

Background Renal cancer is one of the common malignant tumors of the urinary tract, prone to distant metastasis and drug resistance, with a poor clinical prognosis. SLC14A1 belongs to the solute transporter family, which plays a role in urinary concentration and urea nitrogen recycling in the renal, and is closely associated with the development of a variety of tumors. Methods Transcription data for renal clear cell carcinoma (KIRC) were obtained from the public databases Gene Expression Omnibus database (GEO) and The Cancer Genome Atlas (TCGA), and we investigated the differences in SLC14A1 expression in cancerous and normal tissues of renal cancer, its correlation with the clinicopathological features of renal cancer patients. Then, we verified the expression levels of SLC14A1 in renal cancer tissues and their Paracancerous tissues using RT-PCR, Western-blotting and immunohistochemistry. Finally, we used renal endothelial cell line HEK-293 and renal cancer cell lines 786-O and ACHN to explore the effects of SLC14A1 on the biological behaviors of renal cancer cell proliferation, invasion and metastasis using EDU, MTT proliferation assay, Transwell invasion assay and scratch healing assay. Results SLC14A1 was lowly expressed in renal cancer tissues and this was further validated by RT-PCR, Western blotting, and immunohistochemistry in our clinical samples. Analysis of KIRC single-cell data suggested that SLC14A1 was mainly expressed in endothelial cells. Survival analysis showed that low levels of SLC14A1 expression were associated with a better clinical prognosis. In biological behavioral studies, we found that upregulation of SLC14A1 expression levels inhibited the proliferation, invasion, and metastatic ability of renal cancer cells. Conclusion SLC14A1 plays an important role in the progression of renal cancer and has the potential to become a new biomarker for renal cancer (AU)

SLC14A1 is a new biomarker in renal cancer.

BACKGROUND: Renal cancer is one of the common malignant tumors of the urinary tract, prone to distant metastasis and drug resistance, with a poor clinical prognosis. SLC14A1 belongs to the solute transporter family, which plays a role in urinary concentration and urea nitrogen recycling in the renal, and is closely associated with the development of a variety of tumors. METHODS: Transcription data for renal clear cell carcinoma (KIRC) were obtained from the public databases Gene Expression Omnibus database (GEO) and The Cancer Genome Atlas (TCGA), and we investigated the differences in SLC14A1 expression in cancerous and normal tissues of renal cancer, its correlation with the clinicopathological features of renal cancer patients. Then, we verified the expression levels of SLC14A1 in renal cancer tissues and their Paracancerous tissues using RT-PCR, Western-blotting and immunohistochemistry. Finally, we used renal endothelial cell line HEK-293 and renal cancer cell lines 786-O and ACHN to explore the effects of SLC14A1 on the biological behaviors of renal cancer cell proliferation, invasion and metastasis using EDU, MTT proliferation assay, Transwell invasion assay and scratch healing assay. RESULTS: SLC14A1 was lowly expressed in renal cancer tissues and this was further validated by RT-PCR, Western blotting, and immunohistochemistry in our clinical samples. Analysis of KIRC single-cell data suggested that SLC14A1 was mainly expressed in endothelial cells. Survival analysis showed that low levels of SLC14A1 expression were associated with a better clinical prognosis. In biological behavioral studies, we found that upregulation of SLC14A1 expression levels inhibited the proliferation, invasion, and metastatic ability of renal cancer cells. CONCLUSION: SLC14A1 plays an important role in the progression of renal cancer and has the potential to become a new biomarker for renal cancer.

Single-cell transcription analysis reveals the tumor origin and heterogeneity of human bilateral renal clear cell carcinoma.

Bilateral renal clear cell carcinoma (BRCC) is a rare type of renal cell carcinoma (RCC) that accounts for only 1-5% of RCC cases and has a poor clinical prognosis. The origin, tumor microenvironment, cellular molecular features, and intra-tumoral heterogeneity of BRCC are still unclear. We downloaded BRCC single-cell transcriptome sequencing data from the gene expression omnibus database biochip GSE171306, containing 3,575 cells from left-sided clear cell renal cell carcinoma (ccRCC) and 3,568 cells from right-sided ccRCC, and used a series of R packages for data quality control (QC) and subsequent analysis of BRCC single-cell transcriptome data, including the use of the R packages Seurat and scCancer for cell QC, identification of major cell types, and cell annotation; R package scran for calculation of cell cycle scores; R package infercnv for malignancy scoring of tumor cells; R package ReactomeGSA for functional enrichment analysis; R package Monocle 2 for the analysis of cell differentiation trajectories; and R package CellphoneDB for the analysis of intercellular interactions. In this study, by analyzing the high-quality single-cell transcriptome data of BRCC, we identified 18 cell types and found that left- and right-sided ccRCC were approximately the same in terms of cell type and the number of each cell but differed significantly in terms of tumor cell malignancy score, tumor microenvironment, and cell stemness score. In the cell differentiation trajectory analysis of BRCC, we found that endothelial cells and macrophages play an extremely important role in its tumor progression. Further cell communication analysis was performed, and we found that it may signal through ligand-receptors, such as vascular endothelial growth factor-vascular endothelial growth factor receptor1 (VEGF-VEGFR1), MIF-(CD74-CXCR4), and growth arrest-specific protein 6-AXL, to influence the development of BRCC. The analysis of single-cell transcriptomic data of human BRCC suggests that left- and right-sided ccRCC may be of the same tumor origin, but the left-sided ccRCC is more malignant and has a better immune response.

Romo1 is involved in the immune response of glioblastoma by regulating the function of macrophages.

Reactive oxygen species (ROS) modulator 1 (Romo1) is a mitochondrial membrane protein that is essential for the regulation of mitochondrial ROS production and redox sensing. Although the physiological functions of Romo1 have been studied for the past few years, the role of Romo1 in cancer remained unclear. In this study, we found that the high expression of Romo1 is associated with the poor prognosis of glioblastoma patients. Further study revealed that Romo1 is highly expressed in macrophages, indicating that the overexpression of Romo1 may participate in the function of macrophages and contribute to the progression of glioblastoma. Through the glioblastoma mouse model, we found that the overexpression of Romo1 in bone marrow cells significantly inhibited the immune response within tumor microenvironment, and that the overexpression of Romo1 resulted in the M2 polarization of bone marrow derived macrophages (BMDMs) through mTORC1 signaling pathway. In addition, the inhibition of Romo1 combining with anti-PD-1 immunotherapy significantly improved the survival outcome of glioblastoma in mouse model. Collectively, our study highlights the important role of Romo1 in immune response especially the function of macrophages, and implicates it as a potential target of immunotherapy for glioblastoma.

Circular RNA Pleiotrophin promotes carcinogenesis in glioma via regulation of microRNA-122/SRY-box transcription factor 6 axis.

BACKGROUND: Circular RNAs (circRNAs) are recently identified as gene regulators in mammals and play important roles in carcinogenesis of cancer. For example, circRNA_PTN has been recognized as a biomarker of human cancer and is overexpressed in glioma. The molecular function of circRNA_PTN and its downstream targets in glioma, however, remains elusive. METHODS: Quantitative polymerase chain reaction analysis was used to measure the expression of circular RNA pleiotrophin (circ_PTN) and miR-122. 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide, propidium iodide and Annexin-V/propidium iodide assay were performed to determine cell proliferation and apoptosis of glioma cells. Circular RNA Interactome and TargetScan were used to predict the potential microRNA targeting of circ_PTN and the potential targets of miR-122, respectively. Luciferase activity assay was used to validate these interactions. Downstream molecular mechanisms, including SRY-box transcription factor 6 (SOX6), extracellular regulated protein kinases (ERK), Cyclin D1, B-cell lymphoma-2 (BCL-2) and BCL2 associated X, apoptosis regulator (BAX), were determined by western blot. RESULTS: Circ_PTN was overexpressed in glioma cells, and its knockdown induced cell proliferation inhibition, cell cycle arrest and apoptosis in glioma cells. The target microRNA of circ_PTN was predicted to be miR-122, the expression of which was negatively correlated with circ_PTN in glioma cells. Moreover, SOX6 was predicted as a potential target of miR-122, and miR-122 overexpression decreased SOX6 expression. MiR-122 inhibitor reversed the tumor-suppressing effects of circ_PTN knockdown, while overexpression of SOX6 impaired the miR-122 overexpression-induced cell growth inhibition and apoptosis. In addition, mitogen activated kinase-like protein (MAPK)/ERK pathway was involved in circ_PTN/miR-122/SOX6 axis. CONCLUSIONS: Circ_PTN acted as a sponge of miR-122 and upregulated miR-122 target SOX6, thus promoting carcinogenesis of glioma cells.

Binostril endoscopic transsphenoidal neurosurgery for pituitary adenomas: experience with 42 patients.

Here we review the technical aspects of our experience with the neuroendoscopic bilateral nostril (binostril) transsphenoidal approach for pituitary adenomas. A total of 42 patients were treated in our hospital from September 2013 to December 2015. Total tumor resection was completed in 31 cases, nearly full resection was achieved in 9 cases, and partial resection was achieved in 2 cases. In most cases clinical symptoms were relieved after surgery. These included 18/22 cases with visual field and vision disorders; 19/25 cases with headaches; 11/15 cases where high baseline PRL returned to normal levels; 6/7 cases where elevated blood GH returned to normal levels; and 2/3 cases where elevated blood ACTH returned to normal levels after surgery. Postoperative complications were observed in 13 patients: 8 cases of diabetes insipidus, 4 cases of cerebrospinal fluid rhinorrhea, and 1 case of subarachnoid hemorrhage. Among the key advantages of the neuroendoscopic binostril transsphenoidal approach for pituitary adenoma resection are its minimally-invasive nature, clear exposure of the operative field, high full-excision rates, improved peri-operative safety, and minor patient trauma with fewer postoperative complications.

DNA hypomethylation of CD133 promoter is associated with recurrent glioma.

Gliomas are the most common type of brain tumor in the central nervous system of adults, and are highly aggressive, resistant to treatment, and prone to recurrence. Brain tumor stem cells (BTSCs) are implicated in tumor initiation and recurrence. Cluster of differentiation (CD)133 is currently the most widely used BTSC marker; however, its role in glioma development and progression is largely unknown. In this study, we evaluated CD133 expression in pairs of primary and recurrent human glioma specimens from 24 patients. We found that recurrent gliomas have aberrantly upregulated CD133 levels. To clarify the mechanism underlying this observation, we assessed CD133 promoter (P)2 methylation status by bisulfite sequencing and found that P2 hypomethylation was associated with the increase in CD133 expression and glioma recurrence. These results suggest that CD133 overexpression in BTSCs due to P2 hypomethylation underlies glioma recurrence, which may provide insight into the mechanism of glioma recurrence and provide a basis for novel therapies for glioma treatment.

MicroRNA-15b suppresses the growth and invasion of glioma cells through targeted inhibition of cripto-1 expression.

Gliomas are the most common type of malignant brain tumor. Studies have identified that miR­15b is negatively correlated with cripto-1 expression in glioma cells, and these molecules serve an important role in cancer development and progression. The current study was undertaken to further examine the association between these two molecules. Fluorescent quantitative PCR confirmed that miR­15b expression was significantly downregulated in glioma tissue while cripto­1 expression was significantly increased. Subsequent to transfection with miR­15b mimics, cripto­1 expression was significantly suppressed, and dual luciferase reporter assays further demonstrated that miR­15b regulates cripto­1 in a targeted manner. Furthermore, miR­15b inhibited proliferation and invasion, and promoted apoptosis of glioma cells while downregulating the expression of MMP­2 and MMP­9. In contrast, cripto­1 expression had the opposite effects. Co­transfection with miR­15b mimics and the cripto­1 overexpression vector overcame the inhibitory action of miR­15b on cripto­1. Therefore, it is suggested that miR­15b modulates cell growth and invasion through targeted regulation of cripto­1 expression in glioma cells. This observation may provide novel targets for the prevention and treatment of gliomas.

Decreased Expression of miR-15b in Human Gliomas is Associated with Poor Prognosis.

MicroRNA-15b (miR-15b) has been demonstrated to suppress proliferation by arresting cell cycle progression and inducing apoptosis in glioma cells. However, the prognostic value of miR-15b expression in human gliomas remains unclear. In the present study, the authors examined the expression profile in glioma specimens and the prognostic value of miR-15b in patients with gliomas. Real-time polymerase chain reaction assay was employed to detect the expression levels of miR-15b in 92 glioma tissues categorized by World Health Organization (WHO) histopathological grades. However, the prognostic value of miR-15b in human glioma has not been evaluated yet. MiR-15b expression in human glioma tissues was distinctly lower than in normal brain tissues. Furthermore, the expression of miR-15b notably decreased with the ascending histopathological grade of gliomas. Additionally, Kaplan-Meier survival analysis showed that low miR-15b expression was associated with poor overall survival in patients with gliomas. Similarly, miR-15b reduction occurred with increasing frequency in glioma patients with lower Karnofsky performance scale (KPS) scores than in those with higher KPS scores. No significant difference was observed between miR-15b expression and gender, age, and tumor location. These findings revealed that a lower expression level of miR-15b was closely related to a shorter overall survival, suggesting that miR-15b could be an intrinsic factor that plays an important role in the malignant progression of gliomas.

MiR-15b targets cyclin D1 to regulate proliferation and apoptosis in glioma cells.

AIM: To investigate the role and mechanism of miR-15b in the proliferation and apoptosis of glioma. METHODS: The miR-15b mimics were transfected into human glioma cells to upregulate the miR-15b expression. Cyclin D1 was determined by both western blotting analysis and luciferase reporter assay. Methylthiazol tetrazolium (MTT) and flow cytometry were employed to detect the cell proliferation, cell cycle, and apoptosis. RESULTS: Overexpression of miR-15b inhibits proliferation by arrested cell cycle progression and induces apoptosis, possibly by directly targeting Cyclin D1. Both luciferase assay and bioinformatics search revealed a putative target site of miR-15b binding to the 3'-UTR of Cyclin D1. Moreover, expression of miR-15b in glioma tissues was found to be inversely correlated with Cyclin D1 expression. Enforced Cyclin D1 could abrogate the miR-15b-mediated cell cycle arrest and apoptosis. CONCLUSIONS: Our findings identified that miR-15b may function as a glioma suppressor by targeting the Cyclin D1, which may provide a novel therapeutic strategy for treatment of glioma.

Suppression of Grb2 expression improved hepatic steatosis, oxidative stress, and apoptosis induced by palmitic acid in vitro partly through insulin signaling alteration.

In this study, we aimed to study the role of growth factor receptor-bound protein 2 (Grb2) in palmitic acid-induced steatosis and other "fatty liver" symptoms in vitro. HepG2 cells, with or without stably suppressed Grb2 expression, were incubated with palmitic acid for 24 h to induce typical clinical "fatty liver" features, including steatosis, impaired glucose metabolism, oxidative stress, and apoptosis. MTT and Oil Red O assays were applied to test cell viability and fat deposition, respectively. Glucose uptake assay was used to evaluate the glucose utilization of cells. Quantitative polymerase chain reaction and Western blot were used to measure expressional changes of key markers of insulin signaling, lipid/glucose metabolism, oxidative stress, and apoptosis. After 24-h palmitic acid induction, increased fat accumulation, reduced glucose uptake, impaired insulin signaling, enhanced oxidative stress, and increased apoptosis were observed in HepG2 cells. Suppression of Grb2 in HepG2 significantly reduced fat accumulation, improved glucose metabolism, ameliorated oxidative stress, and restored the activity of insulin receptor substrate-1/Akt and MEK/ERK pathways. In addition, Grb2 deficiency attenuated hepatic apoptosis shown by reduced activation of caspase-3 and fluorescent staining. Modulation of Bcl-2 and Bak1 also contributed to reduced apoptosis. In conclusion, suppression of Grb2 expression in HepG2 cells improved hepatic steatosis, glucose metabolism, oxidative stress, and apoptosis induced by palmitic acid incubation partly though modulating the insulin signaling pathway.

Feasibility of anaerobic digested corn stover as biosorbent for heavy metal.

Anaerobic digested (AD) corn stover collected from a lab-scale reactor was used as bioadsorbent to remove the heavy metal in aqueous solution. Effects of contact time and initial heavy metal concentrations on the removal process of Cu(2+) and Cd(2+) were investigated. The maximum adsorption capacities of AD corn stover obtained from Langmuir isotherm models were 83.3 and 50.0mg/g for Cu(2+) and Cd(2+), respectively. Fourier transform infrared spectroscopy (FTIR) was also used to investigate the surface characteristic of raw and heavy metal loaded AD corn stover.

Association between polymorphisms in interleukin-4Rα and interleukin-13 and glioma risk: a meta-analysis.

INTRODUCTION: It has been suggested that allergies are inversely associated with glioma risk. Single nucleotide polymorphisms in two allergy-related genes [interleukin (IL)-4Rα, IL-13] have been implicated in susceptibility to glioma; however, results from the published studies remained inconclusive. METHODS: To derive a more precise relationship, we conducted a meta-analysis including seven case-control studies that investigated the influence of IL-4Rα rs1801275 and IL13 rs20541 polymorphisms on glioma risk. Data were extracted from these studies and pooled odds ratios (OR) with 95% confidence intervals (CI) were used to investigate the strength of the association. RESULTS: Overall, the pooled analysis showed that there was no significant association between the IL-4Rα rs1801275 polymorphism and glioma risk (OR = 0.99, 95%CI: 0.79-1.25, AG/GG vs. AA). However, we found that the IL13 rs20541 variant genotypes (GA/AA) were significantly associated with reduced risk for glioma (OR = 0.85, 95%CI: 0.75-0.97, GA/AA vs. GG). In the stratified analyses by ethnicity, marginally significant association between the IL13 rs20541 polymorphism and decreased glioma risk was found among Asian populations in dominant models (OR = 0.84, 95%CI: 0.70-1.00, GA/AA vs. GG). CONCLUSIONS: This meta-analysis suggests that the IL13 rs20541 but not the IL-4Rα rs1801275 polymorphism may be a genetic predictor for glioma. More studies with larger sample size are warranted to further elucidate the impact of the IL13 rs20541 polymorphism on glioma risk.

Overexpressed miRNA-137 inhibits human glioma cells growth by targeting Rac1.

Previous studies have shown that miR-137 functions as a tumor suppressor in various cancers, but its role in the initiation and development of gliomas is still unknown. Currently, we found that miR-137 exhibited the most significant increase in normal brain tissues compared with glioma specimens, and the miR-137 expression was greatly decreased with the ascending of tumor pathological grades. Furthermore, overexpression of miR-137 in vitro by chemically synthesized miR-137 mimics suppressed the proliferation, inhibited cell cycle arrest in the G1/G0 phase, and induced cell apoptosis. The tumor-suppressive effects of miR-137 were indeed induced by Rac1, which was verified as a direct target of miR-137. These findings indicate that miR-137 inhibits the growth of gliomas cells by directly targeting Rac1, suggesting that miR-137 could be a new important therapeutic strategy for glioma treatment and warrants further investigation.

Peroxisome proliferator-activated receptor γ agonist pioglitazone inhibits ß-catenin-mediated glioma cell growth and invasion.

Gliomas are the most common primary tumors of the central nervous system. Rapid proliferation and diffuse brain invasion of these tumors are likely to determine the unfavorable prognosis. Recent studies have shown that ligand activation of peroxisome proliferator-activated receptor γ (PPARγ) can induce differentiation and inhibit proliferation of several cancer cells. In this study, we identified pioglitazone, one PPARγ ligand in particular, suppressed human glioma cells proliferation, migration, and induced glioma cells apoptosis. Concomitantly, expression level of ß-catenin protein, a key molecule in carcinogenesis, was decreased in glioma cells treated with pioglitazone. Noteworthy, knockdown of ß-catenin expression using siRNA technology mimicked the anti-neoplastic potency of pioglitazone. These results indicate that ß-catenin is one of the mediators for pioglitazone to suppress glioma cells growth and invasion. Due to its capacity to counteract ß-catenin and glioma cell proliferation and migration, pioglitazone represents a promising drug for adjuvant therapy of glioma and other highly migratory tumor entities.