Increased expression of microRNA-17 predicts poor prognosis in human glioma

Comparison of Oncogenes, Tumor Suppressors, and MicroRNAs Between Schizophrenia and Glioma: The Balance of Power

The risk of cancer in schizophrenia has been controversial. Confounders of the issue are cigarette smoking in schizophrenia, and antiproliferative effects of antipsychotic medications. The author has previously suggested comparison of a specific cancer like glioma to schizophrenia might help determine a more accurate relationship between cancer and schizophrenia. To accomplish this goal, the author performed three comparisons of data; the first a comparison of conventional tumor suppressors and oncogenes between schizophrenia and cancer including glioma. This comparison determined schizophrenia has both tumor-suppressive and tumor-promoting characteristics. A second, larger comparison between brain-expressed microRNAs in schizophrenia with their expression in glioma was then performed. This identified a core carcinogenic group of miRNAs in schizophrenia offset by a larger group of tumor-suppressive miRNAs. This proposed "balance of power" between oncogenes and tumor suppressors could cause neuroinflammation. This was assessed by a third comparison between schizophrenia, glioma and inflammation in asbestos-related lung cancer and mesothelioma (ALRCM). This revealed that schizophrenia shares more oncogenic similarity to ALRCM than glioma.

TRIM8: a double-edged sword in glioblastoma with the power to heal or hurt

Glioblastoma multiforme (GBM) is an aggressive primary brain tumor and one of the most lethal central nervous system tumors in adults. Despite significant breakthroughs in standard treatment, only about 5% of patients survive 5 years or longer. Therefore, much effort has been put into the search for identifying new glioma-associated genes. Tripartite motif-containing (TRIM) family proteins are essential regulators of carcinogenesis. TRIM8, a member of the TRIM superfamily, is abnormally expressed in high-grade gliomas and is associated with poor clinical prognosis in patients with glioma. Recent research has shown that TRIM8 is a molecule of duality (MoD) that can function as both an oncogene and a tumor suppressor gene, making it a "double-edged sword" in glioblastoma development. This characteristic is due to its role in selectively regulating three major cellular signaling pathways: the TP53/p53-mediated tumor suppression pathway, NFKB/NF-κB, and the JAK-STAT pathway essential for stem cell property support in glioma stem cells. In this review, TRIM8 is analyzed in detail in the context of GBM and its involvement in essential signaling and stem cell-related pathways. We also discuss the basic biological activities of TRIM8 in macroautophagy/autophagy, regulation of bipolar spindle formation and chromosomal stability, and regulation of chemoresistance, and as a trigger of inflammation.

The genotypic and phenotypic impact of hypoxia microenvironment on glioblastoma cell lines

BACKGROUND

Glioblastoma is a fatal brain tumour with a poor patient survival outcome. Hypoxia has been shown to reprogram cells towards a stem cell phenotype associated with self-renewal and drug resistance properties. Activation of hypoxia-inducible factors (HIFs) helps in cellular adaptation mechanisms under hypoxia. Similarly, miRNAs are known to be dysregulated in GBM have been shown to act as critical mediators of the hypoxic response and to regulate key processes involved in tumorigenesis.

METHODS

Glioblastoma (GBM) cells were exposed to oxygen deprivation to mimic a tumour microenvironment and different cell aspects were analysed such as morphological changes and gene expression of miRNAs and survival genes known to be associated with tumorigenesis.

RESULTS

It was observed that miR-128a-3p, miR-34-5p, miR-181a/b/c, were down-regulated in 6 GBM cell lines while miR-17-5p and miR-221-3p were upregulated when compared to a non-GBM control. When the same GBM cell lines were cultured under hypoxic microenvironment, a further 4-10-fold downregulation was observed for miR-34-5p, miR-128a-3p and 181a/b/c while a 3-6-fold upregulation was observed for miR-221-3p and 17-5p for most of the cells. Furthermore, there was an increased expression of SOX2 and Oct4, GLUT-1, VEGF, Bcl-2 and survivin, which are associated with a stem-like state, increased metabolism, altered angiogenesis and apoptotic escape, respectively.

CONCLUSION

This study shows that by mimicking a tumour microenvironment, miRNAs are dysregulated, stemness factors are induced and alteration of the survival genes necessary for the cells to adapt to the micro-environmental factors occurs. Collectively, these results might contribute to GBM aggressiveness.

MicroRNAs and nervous system diseases: network insights and computational challenges

The nervous system is one of the most complex biological systems, and nervous system disease (NSD) is a major cause of disability and mortality. Extensive evidence indicates that numerous dysregulated microRNAs (miRNAs) are involved in a broad spectrum of NSDs. A comprehensive review of miRNA-mediated regulatory will facilitate our understanding of miRNA dysregulation mechanisms in NSDs. In this work, we summarized currently available databases on miRNAs and NSDs, star NSD miRNAs, NSD spectrum width, miRNA spectrum width and the distribution of miRNAs in NSD sub-categories by reviewing approximately 1000 studies. In addition, we characterized miRNA-miRNA and NSD-NSD interactions from a network perspective based on miRNA-NSD benchmarking data sets. Furthermore, we summarized the regulatory principles of miRNAs in NSDs, including miRNA synergistic regulation in NSDs, miRNA modules and NSD modules. We also discussed computational challenges for identifying novel miRNAs in NSDs. Elucidating the roles of miRNAs in NSDs from a network perspective would not only improve our understanding of the precise mechanism underlying these complex diseases, but also provide novel insight into the development, diagnosis and treatment of NSDs.

The role of melatonin in angio-miR-associated inhibition of tumorigenesis and invasion in human glioblastoma tumour spheroids

Micro-RNA (miRNA)-based regulation of hypoxia, angiogenesis and tumour growth provides promising targets for effective therapy in malignant glioblastoma multiforme (GBM). Accumulating evidence suggests a potential role of melatonin in miRNA expression in cancer cells. Despite these findings, the melatonin-miRNA interaction in GBM and the effect of this interaction on GBM tumour development and invasion are not clearly understood. The aim of the present study was to evaluate the effects of melatonin on human GBM tumour spheroid tumorigenesis and invasion in vitro, and to analyse the interaction between 36 angio-miRNAs and the HIF1/VEGF/MMP9 axis, which is known to be associated with the antitumour effect of melatonin. We found that melatonin is able to selectively induce cell death in single-layer U87-MG cells (a GBM cell line) in a dose- and time-dependent manner, as characterized by MTT assay. The use of tumour spheroids and a Matrigel invasion assay revealed that melatonin impairs tumorigenesis, and it significantly reduced both the tumour spheroid area and invasion rate, especially at the 0.5 mM and 1 mM concentrations. This inhibition was accompanied by strong reductions in hypoxia-inducible factor 1-α (HIF1-α) and vascular endothelial growth factor (VEGF) gene expression and protein levels in GBM tumour spheroids. In addition, melatonin significantly reduced the relative gene expression and protein levels of matrix metalloproteinase-9 (MMP-9). This study revealed that six differentially expressed angio-miRs (miR-15b, miR-18a-5p, miR-23a-3p, miR-92a-3p, miR-130a-5p, miR-200b-3p) may play important roles in GBM tumorigenesis and invasion, and all respond to melatonin therapy. Our results suggest that melatonin inhibits tumorigenesis and invasion of human GBM tumour spheroids, possibly by suppressing HIF1-α/VEGF/MMP9 signalling via regulation of angio-miRNAs.

mRNA and miRNA Expression Analyses of the MYC/E2F/miR-17-92 Network in the Most Common Pediatric Brain Tumors

Numerous molecular factors disrupt the correctness of the cell cycle process leading to the development of cancer due to increased cell proliferation. Among known causative factors of such process is abnormal gene expression. Nowadays in the light of current knowledge such alterations are frequently considered in the context of mRNA–miRNA correlation. One of the molecular factors with potential value in tumorigenesis is the feedback loop between MYC and E2F genes in which miR-17-5p and miR-20a from the miR-17-92 cluster are involved. The current literature shows that overexpression of the members of the OncomiR-1 are involved in the development of many solid tumors. In the present work, we investigated the expression of components of the MYC/E2F/miR-17-92 network and their closely related elements including members of MYC and E2F families and miRNAs from two paralogs of miR-17-92: miR-106b-25 and miR-106a-363, in the most common brain tumors of childhood, pilocytic astrocytoma (PA), WHO grade 1; ependymoma (EP), WHO grade 2; and medulloblastoma (MB), WHO grade 4. We showed that the highest gene expression was observed in the MYC family for MYCN and in the E2F family for E2F2. Positive correlation was observed between the gene expression and tumor grade and type, with the highest expression being noted for medulloblastomas, followed by ependymomas, and the lowest for pilocytic astrocytomas. Most members of miR-17-92, miR-106a-363 and miR-106b-25 clusters were upregulated and the highest expression was noted for miR-18a and miR-18b. The rest of the miRNAs, including miR-19a, miR-92a, miR-106a, miR-93, or miR-25 also showed high values. miR-17-5p, miR-20a obtained a high level of expression in medulloblastomas and ependymomas, while close to the control in the pilocytic astrocytoma samples. miRNA expression also depended on tumor grade and histology.

Super-enhancers: A new frontier for glioma treatment

Glioma is the most common primary malignant tumor in the human brain. Although there are a variety of treatments, such as surgery, radiation and chemotherapy, glioma is still an incurable disease. Super-enhancers (SEs) are implicated in the control of tumor cell identity, and they promote oncogenic transcription, which supports tumor cells. Inhibition of the SE complex, which is required for the assembly and maintenance of SEs, may repress oncogenic transcription and impede tumor growth. In this review, we discuss the unique characteristics of SEs compared to typical enhancers, and we summarize the recent advances in the understanding of their properties and biological role in gene regulation. Additionally, we highlight that SE-driven lncRNAs, miRNAs and genes are involved in the malignant phenotype of glioma. Most importantly, the application of SE inhibitors in different cancer subtypes has introduced new directions in glioma treatment.

Prognostic Significance of MicroRNAs in Glioma: A Systematic Review and Meta-Analysis

PURPOSE

Different microRNAs (miRs) have been demonstrated to relate with the outcome of glioma patients, while the conclusions are inconsistent. We perform a meta-analysis to clarify the relationship between different miRs and prognosis of glioma.

METHODS

Related studies were retrieved from PubMed, Embase, and Cochrane Library. Pooled hazard ratios (HRs) of different miRs expression for survival and 95% confidence intervals (CIs) were calculated using random-effects model.

RESULTS

A total of 15 miRs with 4708 glioma patients were ultimately included. Increased expression of miR-15b (HR, 1.584; 95% CI, 1.199-2.092), 21 (HR, 1.591; 95% CI, 1.278-1.981), 148a (HR, 1.122; 95% CI, 1.023-1.231), 196 (HR, 1.877; 95% CI, 1.033-3.411), 210 (HR, 1.251; 95% CI, 1.010-1.550), and 221 (HR, 1.269; 95% CI, 1.054-1.527) or decreased expression of miR-106a (HR, 0.809; 95% CI, 0.655-0.998) and 124 (HR, 0.833; 95% CI, 0.729-0.952) was correlated with poor outcome of glioma patients.

CONCLUSIONS

miR-15b, 21, 148a, 196, 210, 221, 106a, and 124 are valuable biomarkers for the prognosis of glioma which might be used in clinical settings.

Quantifying the prognostic significance of microRNA-17/17-5P in cancers: a meta-analysis based on published studies

Objective

The aim of this study was to investigate the prognostic value of mircoRNA-17 and mircoRNA-17-5P (miR-17/17-5P) in patients with cancer.

Materials and methods

We conducted a comprehensive search on published literature following the guidelines of the meta-analysis of observational studies in epidemiology group for design, implementation, and reporting. The methodological qualities for included studies were assessed using the quality in prognosis studies. The pooled hazard ratios (HRs) with 95% CIs for overall survival (OS) and progression-free survival/recurrence-free survival/disease-free survival (PFS/RFS/DFS) were calculated to appraise the associations between miR-17/17-5P expression and cancer prognosis.

Results

A total of 21 studies involving 2099 subjects were analyzed in evidence synthesis. The results showed that high expression of miR-17 was associated with poor OS (HR=2.14; 95% CI: 1.69-2.71, P<0.001) in patients with cancer, especially in Caucasian (HR=2.23; 95% CI: 1.58-3.14, P<0.001) and digestive tract cancer (HR=1.29, 95% CI: 1.03-1.63, P=0.03), and miR-17 expression was significantly correlated with PFS/RFS in cancer patients (HR=1.69, 95% CI: 1.29-2.22, P<0.001). miR-17-5P overexpression was significantly linked with poor OS in cancer patients (HR=1.66; 95% CI: 1.31-2.09, P=0.00), especially in Asian (HR=1.81; 95% CI: 1.37-2.40, P<0.001), digestive tract cancer (HR=1.80; 95% CI: 1.29-2.50, P<0.001), and serum sample (HR=1.76; 95% CI: 1.29-2.41, P<0.001). miR-17-5P expression was significantly associated with DFS in cancer patients (HR=1.58, 95% CI: 1.07-2.35, P=0.02).

Conclusion

High expression of miR-17 and miR-17-5P are significantly associated with poor survival in patients with cancer. This indicated that miR-17/17-5P may be a novel prognostic indicator in cancer.

MicroRNA-17 and the prognosis of human carcinomas: a systematic review and meta-analysis

OBJECTIVE

Although the role of microRNA-17 (miR-17) has been identified as a tumour biomarker in various studies, its prognostic value in cancers remains unclear. Therefore, we performed a systematic review and meta-analysis to analyse and summarise the relationship between the miR-17 status and clinical outcome in a variety of human cancers.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

PubMed, Web of Science and Embase from the first year of records to 15 May 2017.

OUTCOMES

The patients' survival results were pooled, and pooled HRs with 95% CIs were calculated and used for measuring the strength of association between miR-17 and the prognosis of cancers, including hepatocellular carcinoma, lung cancer, osteosarcoma, glioma, T-cell lymphoblastic lymphoma and colon cancer. Heterogeneity, publication bias and subgroup analysis were also conducted.

RESULTS

A total of 1096 patients were included in this meta-analysis from 12 articles. The results indicated that the increased expression of miR-17 played an unfavourable role in overall survival in various human carcinomas with the HR of 1.342 taking into account the publication bias. In subgroup analysis, HR of ethnicity (non-Asian HR=1.48 and Asian HR=1.40), disease (digestive system HR=1.36 and blood system cancer (HR=2.38) were significant with P<0.05. For the analysis of disease-free survival and recurrence-free survival, the increased expression of miR-17 was associated with unfavourable prognosis (HR=1.40).

CONCLUSIONS

miR-17 may be a useful biomarker in predicting the clinical outcome of human cancers, but due to the limitations of the current studies, further verification of the role of miR-17 in human malignancies is urgently needed.

PROSPERO REGISTRATION NUMBER

CRD42017065749.

The Oncogenic Relevance of miR-17-92 Cluster and Its Paralogous miR-106b-25 and miR-106a-363 Clusters in Brain Tumors

The fundamental function of ribonucleic acids is to transfer genetic information from DNA to protein during translation process, however, this is not the only way connecting active RNA sequences with essential biological processes. Up until now, many RNA subclasses of different size, structure, and biological function were identified. Among them, there are non-coding single-stranded microRNAs (miRNAs). This subclass comprises RNAs of 19–25 nucleotides in length that modulate the activity of well-defined coding RNAs and play a crucial role in many physiological and pathological processes. miRNA genes are located both in exons, introns, and also within non-translated regions. Several miRNAs that are transcribed from the adjacent miRNA genes are called cluster. One of the largest ones is miR-17-92 cluster known as OncomiR-1 due to its strong link to oncogenesis. Six miRNAs from the OncomiR-1 have been shown to play important roles in various physiological cellular processes but also through inhibition of cell death in many cancer-relevant processes. Due to the origin and similarity of the sequence, miR-17-92 cluster and paralogs, miR-106b-25 and miR-106a-363 clusters were defined. Here we discuss the oncogenic function of those miRNA subgroups found in many types of cancers, including brain tumors.

MicroRNA-target cross-talks: Key players in glioblastoma multiforme

The role of microRNAs in brain cancer is still naive. Some act as oncogene and others as tumor suppressors. Discovery of efficient biomarkers is mandatory to debate that aggressive disease. Bioinformatically selected microRNAs and their targets were investigated to evaluate their putative signature as diagnostic and prognostic biomarkers in primary glioblastoma multiforme. Expression of a panel of seven microRNAs (hsa-miR-34a, hsa-miR-16, hsa-miR-17, hsa-miR-21, hsa-miR-221, hsa-miR-326, and hsa-miR-375) and seven target genes ( E2F3, PI3KCA, TOM34, WNT5A, PDCD4, DFFA, and EGFR) in 43 glioblastoma multiforme specimens were profiled compared to non-cancer tissues via quantitative reverse transcription-polymerase chain reaction. Immunohistochemistry staining for three proteins (VEGFA, BAX, and BCL2) was performed. Gene enrichment analysis identified the biological regulatory functions of the gene panel in glioma pathway. MGMT ( O-6-methylguanine-DNA methyltransferase) promoter methylation was analyzed for molecular subtyping of tumor specimens. Our data demonstrated a significant upregulation of five microRNAs (hsa-miR-16, hsa-miR-17, hsa-miR-21, hsa-miR-221, and hsa-miR-375), three genes ( E2F3, PI3KCA, and Wnt5a), two proteins (VEGFA and BCL2), and downregulation of hsa-miR-34a and three other genes ( DFFA, PDCD4, and EGFR) in brain cancer tissues. Receiver operating characteristic analysis revealed that miR-34a (area under the curve = 0.927) and miR-17 (area under the curve = 0.900) had the highest diagnostic performance, followed by miR-221 (area under the curve = 0.845), miR-21 (area under the curve = 0.836), WNT5A (area under the curve = 0.809), PDCD4 (area under the curve = 0.809), and PI3KCA (area under the curve = 0.800). MGMT promoter methylation status was associated with high miR-221 levels. Moreover, patients with VEGFA overexpression and downregulation of TOM34 and BAX had poor overall survival. Nevertheless, miR-17, miR-221, and miR-326 downregulation were significantly associated with high recurrence rate. Multivariate analysis by hierarchical clustering classified patients into four distinct groups based on gene panel signature. In conclusion, the explored microRNA-target dysregulation could pave the road toward developing potential therapeutic strategies for glioblastoma multiforme. Future translational and functional studies are highly recommended to better understand the complex bio-molecular signature of this difficult-to-treat tumor.

Prognostic role of miR-17-92 family in human cancers: evaluation of multiple prognostic outcomes

Recent evidence indicates that miR-17–92 family might be an essential prognostic biomarker for human cancers. However, results are still inconsistent. We therefore performed a meta-analysis to evaluate the predictive role of miR-17–92 family in human cancer prognosis. We searched literatures published before March 31th, 2017 inPubMed, Cochrane and Embase databases. Twenty six studies were included in our analyses. The overall hazard ratios (HRs) showed that high expression level of miR-17-92 family was a predictor of poor overall survival (OS): adjusted HRs = 1.71, 95% confidence intervals (CIs): 1.39–2.11, p < 0.00001, and poor disease-free survival (DFS): adjusted HRs = 2.29, 95% CIs: 1.41–3.72, p = 0.0008. However, no association between miR-17-92 family expression and cancer progress-free survival (PFS) was found (p > 0.05). Subgroup analyses showed that high expression of miR-17-92 family was associated with poor OS (adjusted HRs = 1.89, 95% CIs: 1.43–2.49, p < 0.00001) and DFS (adjusted HRs = 2.83, 95% CIs: 1.59–5.04, p = 0.0003) among the Asian, and no association was found for the Caucasian (p > 0.05). Besides, the HRs of miR-17-92 family high expression in tissue and serum samples was 1.68 (1.35–2.09) and 2.20 (1.08–4.46) for OS, and 1.73 (0.80–3.74) and 3.37 (2.25–5.02) for DFS. It also found that high expression of miR-17-92 family predicted a poor OS in breast cancer, esophageal squamous cell carcinoma, lymphoma and other cancers. Findings suggest that miR-17-92 family can be an effective predictor for prognosis prediction in cancer patients.

A Comprehensive Review of Genomics and Noncoding RNA in Gliomas

Glioblastoma (GBM) is the most malignant primary adult brain tumor. In spite of our greater understanding of the biology of GBMs, clinical outcome of GBM patients remains poor, as their median survival with best available treatment is 12 to 18 months. Recent efforts of The Cancer Genome Atlas (TCGA) have subgrouped patients into 4 molecular/transcriptional subgroups: proneural, neural, classical, and mesenchymal. Continuing efforts are underway to provide a comprehensive map of the heterogeneous makeup of GBM to include noncoding transcripts, genetic mutations, and their associations to clinical outcome. In this review, we introduce key molecular events (genetic and epigenetic) that have been deemed most relevant as per studies such as TCGA, with a specific focus on noncoding RNAs such as microRNAs (miRNA) and long noncoding RNAs (lncRNA). One of our main objectives is to illustrate how miRNAs and lncRNAs play a pivotal role in brain tumor biology to define tumor heterogeneity at molecular and cellular levels. Ultimately, we elaborate how radiogenomics-based predictive models can describe miRNA/lncRNA-driven networks to better define heterogeneity of GBM with clinical relevance.

MicroRNAs in glioblastoma multiforme pathogenesis and therapeutics

Glioblastoma multiforme (GBM) is the most common and lethal cancer of the adult brain, remaining incurable with a median survival time of only 15 months. In an effort to identify new targets for GBM diagnostics and therapeutics, recent studies have focused on molecular phenotyping of GBM subtypes. This has resulted in mounting interest in microRNAs (miRNAs) due to their regulatory capacities in both normal development and in pathological conditions such as cancer. miRNAs have a wide range of targets, allowing them to modulate many pathways critical to cancer progression, including proliferation, cell death, metastasis, angiogenesis, and drug resistance. This review explores our current understanding of miRNAs that are differentially modulated and pathologically involved in GBM as well as the current state of miRNA-based therapeutics. As the role of miRNAs in GBM becomes more well understood and novel delivery methods are developed and optimized, miRNA-based therapies could provide a critical step forward in cancer treatment.

Long noncoding RNA H19 competitively binds miR-17-5p to regulate YES1 expression in thyroid cancer

The long noncoding RNA H19 is overexpressed in many cancers and acts as an oncogene. Here, we investigated the role of H19 in thyroid carcinogenesis and its relation to microRNA miR-17-5p and its target gene YES1. H19 expression was higher in tumor samples and in thyroid cancer cell lines than nontumor tissues and normal thyroid cells. H19 knockdown and ectopic expression in the TPC-1 and NIM thyroid cancer cell lines showed that overexpression of H19 promoted proliferation, migration, and invasion, whereas H19 knockdown reduced cell viability and invasion and induced growth arrest in vitro and in vivo. H19 was identified as a target of miR-17-5p, by Dual-Luciferase Reporter assays and RNA-binding protein immunoprecipitation assays. H19 antagonized the function of miR-17-5p on upregulation of its target YES1 and inhibited miR-17-5p-induced cell cycle progression. Our results suggest that H19 functions as a competitive endogenous RNA (ceRNA) by acting as a sink for miR-17-5p, revealing a potential ceRNA regulatory network involving H19 and miR-17-5p with a role in the modulation of YES1 expression. This mechanism may contribute to a better understanding of thyroid cancer pathogenesis and provide new insights into the treatment of this disease.

MiR-17-5p up-regulates YES1 to modulate the cell cycle progression and apoptosis in ovarian cancer cell lines

MicroRNAs (miRNAs) are small, non-coding RNAs that participate in the regulation of gene expression. Although many studies have demonstrated the involvement of miR-17-5p in different cancers, little is known to its function in ovarian cancer. In this study, we demonstrated that overexpression of miR-17-5p was able to enhance cell proliferation by promoting G1/S transition of the cell cycle and suppressing apoptosis in ES-2 and OVCAR3 cell lines, whereas inhibition of miR-17-5p yielded the reverse phenotype. YES1 was identified as a novel target gene of miR-17-5p. Moreover, miR-17-5p was found to directly bind to the 3'UTR of YES1 mRNA and up-regulated its expression. Furthermore, knockdown of YES1 led to the suppression of proliferation and induced cell cycle arrest in ES-2 and OVCAR3 cells. Ectopic expression of YES1 was able to reverse the effects of miR-17-5p inhibition. Collectively, our results indicated that miR-17-5p might play a role in human ovarian cancer by up-regulating YES1 expression. J. Cell. Biochem. 116: 1050-1059, 2015. © 2015 Wiley Periodicals, Inc.

MicroRNA as potential biomarkers in Glioblastoma

Glioblastoma is the most aggressive and lethal tumour of the central nervous system and as such the identification of reliable prognostic and predictive biomarkers for patient survival and tumour recurrence is paramount. MicroRNA detection has rapidly emerged as potential biomarkers, in patients with glioblastoma. Over the last decade, analysis of miRNA in laboratory based studies have yielded several candidates as potential biomarkers however, the accepted use of these candidates in the clinic is yet to be validated. Here we will examine the use of miRNA signatures to improve glioblastoma stratification into subgroups and summarise recent advances made in miRNA examination as potential biomarkers for glioblastoma progression and recurrence.

Prognostic role of microRNA-210 in various carcinomas: a meta-analysis

BACKGROUND

MicroRNA (miRNA) expressive alterations are associated with cancer and have potential diagnostic and prognostic values in various malignancies. Here, we summarize the global predictive role of miR-210 expression for survival in patients with a variety of carcinomas.

METHODS

Eligible studies were identified through multiple search strategies. Data were assembled from studies investigating the relationship between miR-210 expression and survival in cancer patients. Hazard ratio (HR) was used as the common measure of association across studies: relative risk (RR) was considered equivalent to HR. Combined hazard ratios (HRs) of miR-210 for outcome were analyzed.

RESULTS

A total of 10 studies dealing with various carcinomas were included for this global meta-analysis. For overall survival (OS), the pooled hazard ratio (HR) of higher miR-210 expression in cancerous tissue was 2.41 (95% CI: 1.31-4.44), which could significantly predict poorer survival in general carcinomas. For distant-free, relapse-free or progressive-free survival, elevated miR-210 was also a significant predictor, with a pooled HR of 2.84 (95% CI: 2.10-3.83). Importantly, subgroup analysis suggested that higher expression of miR-210 correlated with worse OS in breast cancer: HR 4.34, 95% CI: 1.63-11.55.

CONCLUSIONS

Our findings reveal that miR-210 detection has a prognostic value in patients with cancer, especially in breast cancer.

TRIM8 downregulation in glioma affects cell proliferation and it is associated with patients survival

Background

Human gliomas are a heterogeneous group of primary malignant brain tumors whose molecular pathogenesis is not yet solved. In this regard, a major research effort has been directed at identifying novel specific glioma-associated genes. Here, we investigated the effect of TRIM8 gene in glioma.

Methods

TRIM8 transcriptional level was profiled in our own glioma cases collection by qPCR and confirmed in the independent TCGA glioma cohort. The association between TRIM8 expression and Overall Survival and Progression-free Survival in TCGA cohort was determined by using uni-multivariable Cox regression analysis. The effect of TRIM8 on patient glioma cell proliferation was evaluated by performing MTT and clonogenic assays. The mechanisms causing the reduction of TRIM8 expression were explored by using qPCR and in vitro assays.

Results

We showed that TRIM8 expression correlates with unfavorable clinical outcome in glioma patients. We found that a restored TRIM8 expression induced a significant reduction of clonogenic potential in U87MG and patient’s glioblastoma cells. Finally we provide experimental evidences showing that miR-17 directly targets the 3′ UTR of TRIM8 and post-transcriptionally represses the expression of TRIM8.

Conclusions

Our study provides evidences that TRIM8 may participate in the carcinogenesis and progression of glioma and that the transcriptional repression of TRIM8 might have potential value for predicting poor prognosis in glioma patients.

Electronic supplementary material

The online version of this article (doi:10.1186/s12885-015-1449-9) contains supplementary material, which is available to authorized users.

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.

Correlation of microRNA-10b upregulation and poor prognosis in human gliomas

The aim of this study was to detect the association between the microRNA-10b (miR-10b) expression level and prognosis in glioma patients. Quantitative real-time polymerase chain reaction (qRT-PCR) analysis was used to measure the expression of miR-10b levels in different-grade glioma tissues and normal brain tissues. The relationship between miR-10b expression levels and clinical pathological characteristics was statistically analyzed. The influence of miR-10b on survival of glioma patients was also analyzed. As a result, miR-10b expression levels in glioma tissues were significantly increased compared to those of normal brain tissues (p < 0.001). And the increased expression levels were associated with the advanced glioma grade (p < 0.001) and larger tumor size (p < 0.001). Moreover, the results of the Kaplan-Meier survival curve indicated that overall survival (OS) and progression-free survival (PFS) were significantly poorer in the high-expression-level group than those in the low-expression-level group (p < 0.001). Finally, the results of the multivariate Cox regression model indicated that the miR-10b expression level was an independent prognostic factor for glioma patients. Taken together, these findings offer convincing evidence that increased miR-10b expression may be an independent marker to predict poor prognosis in patients with gliomas.

Circulating biomarker panels for targeted therapy in brain tumors

An important goal of oncology is the development of cancer risk-identifier biomarkers that aid early detection and target therapy. High-throughput profiling represents a major concern for cancer research, including brain tumors. A promising approach for efficacious monitoring of disease progression and therapy could be circulating biomarker panels using molecular proteomic patterns. Tailoring treatment by targeting specific protein-protein interactions and signaling networks, microRNA and cancer stem cell signaling in accordance with tumor phenotype or patient clustering based on biomarker panels represents the future of personalized medicine for brain tumors. Gathering current data regarding biomarker candidates, we address the major challenges surrounding the biomarker field of this devastating tumor type, exploring potential perspectives for the development of more effective predictive biomarker panels.

MicroRNA-27a distinguishes glioblastoma multiforme from diffuse and anaplastic astrocytomas and has prognostic value

MicroRNAs (miRNAs) are a class of small noncoding RNAs that bind to 3'-untranslated (UTR) regions of target messenger RNAs to regulate protein synthesis. Reports have suggested that a set of specific miRNAs may be used as diagnostic and/or prognostic markers for astrocytoma grading. However, there are few studies of the specific miRNAs differentially expressed in each astrocytoma grade. MiRNA-containing total RNA was isolated from archived formalin-fixed, paraffin-embedded (FFPE) samples from WHO grade II-IV astrocytoma patients. The RNA was labeled and hybridized to Affymetrix miRNA 2.0 arrays. Statistical analysis identified several miRNAs differentially expressed in each astrocytoma grade. In particular, miR-27a, miR-210, and miR-1225-5p expression levels were able to differentiate grade IV from grade II and III astrocytomas as confirmed by real-time PCR. Kaplan-Meier survival analysis showed that disease progression occurred faster for Glioblastoma Multiforme (GBM) patients with a lower miR-27a expression level. Transfection of CRL-1690 GBM human cancer cells with a miR-27a oligonucleotide inhibitor followed by Real-time PCR identified six potential miR-27a target genes. Furthermore, the miR-27a oligonucleotide inhibitor induced CRL-1690 cell apoptosis. Taken together, our results provide additional miRNA signatures for distinguishing GBM from lower astrocytoma grades and suggest miR-27a as a prognostic and therapeutic target for GBM.

MicroRNA expression signatures determine prognosis and survival in glioblastoma multiforme--a systematic overview

Despite advances in our knowledge about glioblastoma multiforme (GBM) pathology, clinical challenges still lie ahead with respect to treatment in GBM due to high prevalence, poor prognosis, and frequent tumor relapse. The implication of microRNAs (miRNAs) in GBM is a rapidly expanding field of research with the aim to develop more targeted molecular therapies. This review aims to present a comprehensive overview of all the available literature, evaluating miRNA signatures as a function of prognosis and survival in GBM. The results are presented with a focus on studies derived from clinical data in databases and independent tissue cohorts where smaller samples sizes were investigated. Here, miRNA associated to longer survival (protective) and miRNA with shorter survival (risk-associated) have been identified and their signatures based on different prognostic attributes are described. Finally, miRNAs associated with disease progression or survival in several studies are identified and functionally described. These miRNAs may be valuable for future determination of patient prognosis and could possibly serve as targets for miRNA-based therapies, which hold a great potential in the treatment of this severe malignant disease.

MicroRNA-584 functions as a tumor suppressor and targets PTTG1IP in glioma

MicroRNAs (miRNAs) are small noncoding RNA molecules that regulate gene expression at the post transcriptional level. Compelling evidence shows that there are causative links between miRNAs deregulation and cancer development and progression. In this study, we demonstrated that miR-584 was downregulated in human glioma and could suppress growth of the human glioma cell line U87-MG and U251-MG. Bioinformatics analysis indicated that PTTG1IP was a putative target of miR-584. In a Luciferase reporter system, we confirmed that PTTG1IP was a direct target gene of miR-584. These findings indicate that miR-584 suppresses glioma cell growth by negatively regulating the expression of PTTG1IP, suggesting that miR-584 has a tumor suppressive role in human glioma pathogenesis.

Integrated analysis of microRNA-target interactions with clinical outcomes for cancers

Background

Clinical statement alone is not enough to predict the progression of disease. Instead, the gene expression profiles have been widely used to forecast clinical outcomes. Many genes related to survival have been identified, and recently miRNA expression signatures predicting patient survival have been also investigated for several cancers. However, miRNAs and their target genes associated with clinical outcomes have remained largely unexplored.

Methods

Here, we demonstrate a survival analysis based on the regulatory relationships of miRNAs and their target genes. The patient survivals for the two major cancers, ovarian cancer and glioblastoma multiforme (GBM), are investigated through the integrated analysis of miRNA-mRNA interaction pairs.

Results

We found that there is a larger survival difference between two patient groups with an inversely correlated expression profile of miRNA and mRNA. It supports the idea that signatures of miRNAs and their targets related to cancer progression can be detected via this approach.

Conclusions

This integrated analysis can help to discover coordinated expression signatures of miRNAs and their target mRNAs that can be employed for therapeutics in human cancers.

miR-17-5p promotes proliferation by targeting SOCS6 in gastric cancer cells

This study aimed to test the exact functions and potential mechanisms of miR-17-5p in gastric cancer. Using real-time PCR, miR-17-5p was found to be expressed more highly in gastric cancer compared with-normal tissues. Gain- and loss-of-function assays demonstrated that miR-17-5p increased the proliferation and growth of gastric cancer cells in vitro and in vivo. Through reporter gene and western blot assays, SOCS6 was shown to be a direct target of miR-17-5p, and proliferative assays confirmed that SOCS6 exerted opposing function to that of miR-17-5p in gastric cancer. In short, miR-17-5p might function as a pro-proliferative factor by repressing SOCS6 in gastric cancer.

Brain microRNAs and insights into biological functions and therapeutic potential of brain enriched miRNA-128

MicroRNAs, the non-coding single-stranded RNA of 19–25 nucleotides are emerging as robust players of gene regulation. Plethora of evidences support that the ability of microRNAs to regulate several genes of a pathway or even multiple cross talking pathways have significant impact on a complex regulatory network and ultimately the physiological processes and diseases. Brain being a complex organ with several cell types, expresses more distinct miRNAs than any other tissues. This review aims to discuss about the microRNAs in brain development, function and their dysfunction in brain tumors. We also provide a comprehensive summary of targets of brain specific and brain enriched miRNAs that contribute to the diversity and plasticity of the brain. In particular, we uncover recent findings on miRNA-128, a brain-enriched microRNA that is induced during neuronal differentiation and whose aberrant expression has been reported in several cancers. This review describes the wide spectrum of targets of miRNA-128 that have been identified till date with potential roles in apoptosis, angiogenesis, proliferation, cholesterol metabolism, self renewal, invasion and cancer progression and how this knowledge might be exploited for the development of future miRNA-128 based therapies for the treatment of cancer as well as metabolic diseases.

miR-17 inhibitor suppressed osteosarcoma tumor growth and metastasis via increasing PTEN expression

MicroRNAs (miRNAs) play essential roles in cancer development and progression. Here, we investigated the role of miR-17 in the progression and metastasis of osteosarcoma (OS). miR-17 was frequently increased in OS tissues and cell lines. Inhibition of miR-17 in OS cell lines substantially suppressed cell proliferation, migration, and invasion. Phosphatase and tensin homolog (PTEN) was identified as a target of miR-17, and ectopic expression of miR-17 inhibited PTEN by direct binding to its 3'-untranslated region (3'-UTR). Expression of miR-17 was negatively correlated with PTEN in OS tissues. Together, these findings indicate that miR-17 acts as an oncogenic miRNA and may contribute to the progression and metastasis of OS, suggesting miR-17 as a potential novel diagnostic and therapeutic target of OS.

Analysis of expression of microRNAs and genes involved in the control of key signaling mechanisms that support or inhibit development of brain tumors of different grades

BACKGROUND

MicroRNAs (miRNAs) are a class of small non-coding RNA molecules involved in the regulation of key biological processes. Different miRNAs with pro-oncogenic and anti-oncogenic properties have been identified in glioblastomas. We decided to analyze expression profiles of 10 mature miRNAs (miR-7-1, miR-10а, miR-17, miR-20а, miR-21, miR-23а, miR-26а, miR-137, and miR-222) in post-surgery glioma specimens of different grades in order to find whether the expression level correlates with tumor grades. We also measured expression of six key genes such as PTEN, p21/CDKN1A, MDR1, ABCG2, BAX, and BCL-2 involved in the regulation of critical glioma signaling pathways to establish the effect of miRNAs on these signaling mechanisms.

METHODS

Using RT-PCR, we performed expression analysis of 25 tumor fresh samples (grades II-IV).

RESULTS

We found gradual increase in miR-21 and miR-23a levels in all tumor grades whereas miR-7 and miR-137 were significantly down-regulated depending on the glioma grade. MDR, ABCG2, and p21/CDKN1A levels were significantly up-regulated while expression of PTEN was down-regulated in tumor samples compared to the normal brain tissue.

CONCLUSIONS

These observations provide new insights into molecular pathogenic mechanisms of glioma progression and suggest about a potential value of miRNAs as a putative diagnostic marker of brain tumors.

High-throughput microRNA profiling of pediatric high-grade gliomas

BACKGROUND

High-grade gliomas (HGGs) account for 15% of all pediatric brain tumors and are a leading cause of cancer-related mortality and morbidity. Pediatric HGGs (pHGGs) are histologically indistinguishable from their counterpart in adulthood. However, recent investigations indicate that differences occur at the molecular level, thus suggesting that the molecular path to gliomagenesis in childhood is distinct from that of adults. MicroRNAs (miRNAs) have been identified as key molecules in gene expression regulation, both in development and in cancer. miRNAs have been investigated in adult high-grade gliomas (aHGGs), but scant information is available for pHGGs.

METHODS

We explored the differences in microRNAs between pHGG and aHGG, in both fresh-frozen and paraffin-embedded tissue, by high-throughput miRNA profiling. We also evaluated the biological effects of miR-17-92 cluster silencing on a pHGG cell line.

RESULTS

Comparison of miRNA expression patterns in formalin versus frozen specimens resulted in high correlation between both types of samples. The analysis of miRNA profiling revealed a specific microRNA pattern in pHGG with an overexpression and a proliferative role of the miR-17-92 cluster. Moreover, we highlighted a possible quenching function of miR-17-92 cluster on its target gene PTEN, together with an activation of tumorigenic signaling such as sonic hedgehog in pHGG.

CONCLUSIONS

Our results suggest that microRNA profiling represents a tool to distinguishing pediatric from adult HGG and that miR-17-92 cluster sustains pHGG.

MicroRNA in Human Glioma

Glioma represents a serious health problem worldwide. Despite advances in surgery, radiotherapy, chemotherapy, and targeting therapy, the disease remains one of the most lethal malignancies in humans, and new approaches to improvement of the efficacy of anti-glioma treatments are urgently needed. Thus, new therapeutic targets and tools should be developed based on a better understanding of the molecular pathogenesis of glioma. In this context, microRNAs (miRNAs), a class of small, non-coding RNAs, play a pivotal role in the development of the malignant phenotype of glioma cells, including cell survival, proliferation, differentiation, tumor angiogenesis, and stem cell generation. This review will discuss the biological functions of miRNAs in human glioma and their implications in improving clinical diagnosis, prediction of prognosis, and anti-glioma therapy.

MicroRNA-210 overexpression predicts poorer prognosis in glioma patients

MicroRNA-210 (miR-210) levels are elevated in many tumor types, are frequently associated with hypoxia induction, and are correlated with poor prognosis in many solid tumors. miR-210 regulates cell growth, angiogenesis, invasion, and apoptosis of many human tumors. In this study, we investigated the clinical significance of miR-210 expression in common brain tumors, or human gliomas. Glioma samples and normal brain tissues were analyzed using real-time quantitative reverse transcriptase polymerase chain reaction to characterize the expression patterns of miR-210. The association of miR-210 expression with clinicopathological parameters and prognosis of glioma patients was statistically analyzed. Gliomas were further divided by grade: pilocytic astrocytoma (World Health Organization [WHO] grade I), diffuse astrocytomas (WHO grade II), anaplastic astrocytomas (WHO grade III), and glioblastoma (WHO grade IV). There was a significantly higher expression level of miR-210 amongst the glioma tissues as compared with normal brain tissues (p<0.001). Increased expression of miR-210 in glioma tissues was significantly associated with advanced pathological grade (p<0.001) and low Karnofsky Performance Score (p=0.014). In addition, increased miR-210 levels were also associated with poor progression-free survival (PFS) and overall survival (OS) rates when compared to the normal control (both p<0.001), as calculated by Kaplan-Meier survival and Cox regression analyses. Furthermore, subgroup analyses showed that miR-210 expression was significantly associated with poor PFS and OS of glioma patients with high pathological grades (III-IV: both p<0.001). miR-210 is highly expressed in human gliomas and confers a poor prognosis in glioma patients. These findings may bring the development of novel, tailored pharmacological therapies for glioma patients.