ArticleBMC cancer2017
Simultaneous analysis of miRNA-mRNA in human meningiomas by integrating transcriptome: A relationship between PTX3 and miR-29c.
Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Array expression meta-analysis of cancer stem cell genes identifies upregulation of PODXL especially in DCC low expression meningiomas.PloS one · 2019Pooled it
- Epigenetic Alterations in Meningiomas-A Review.Biomedicines · 2026Review
- The long pentraxin 3: the invisible loom weaving the warp and weft of tumor destiny.Frontiers in immunology · 2025Review
- MicroRNAs in meningiomas: Potential biomarkers and therapeutic targets.Non-coding RNA research · 2024Review
- Study of lncRNAs in Pediatric Neurological Diseases: Methods, Analysis of the State-of-Art and Possible Therapeutic Implications.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Role of A-Kinase Anchoring Protein 12 in the Central Nervous System.Journal of clinical neurology (Seoul, Korea) · 2023Review
- MicroRNAs miR-16 and miR-519 control meningioma cell proliferationFrontiers in oncology · 2023Article
- Review
- Intratumoral immunosuppression profiles in 11q-deleted neuroblastomas provide new potential therapeutic targets.Molecular oncology · 2021Article
- Non-Coding RNAs and Brain Tumors: Insights Into Their Roles in Apoptosis.Frontiers in cell and developmental biology · 2021Review
- Identification of epithelial membrane protein 2 (EMP2) as a molecular marker and correlate for angiogenesis in meningioma.Journal of neuro-oncology · 2020Article
- Inhibition of Long Noncoding RNA CRNDE Increases Chemosensitivity of Medulloblastoma Cells by Targeting miR-29c-3p.Oncology research · 2020Article
- Long Non-Coding RNA MEG3 Modifies Cell-Cycle, Migration, Invasion, and Proliferation Through AKAP12 by Sponging miR-29c in Meningioma Cells.Frontiers in oncology · 2020Article
- Multi-Omics Analysis in Initiation and Progression of Meningiomas: From Pathogenesis to Diagnosis.Frontiers in oncology · 2020Review
- MicroRNA-221/222 Inhibits the Radiation-Induced Invasiveness and Promotes the Radiosensitivity of Malignant Meningioma Cells.Frontiers in oncology · 2020Article
- Slow skeletal muscle troponin T, titin and myosin light chain 3 are candidate prognostic biomarkers for Ewing's sarcoma.Oncology letters · 2019Article
- Cigarette smoke and chewing tobacco alter expression of different sets of miRNAs in oral keratinocytes.Scientific reports · 2018Article
- hsa-miR-29c-3p regulates biological function of colorectal cancer by targeting SPARC.Oncotarget · 2017Article
- Unraveling the Impact ofIn vivo (Athens, Greece)Article
- Expression of miRNA-451 and miRNA-885 in Meningiomas.In vivo (Athens, Greece)Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough meningioma is a common disease, there is a lack of understanding of the underlying molecular mechanisms behind its initiation and progression. We used combined miRNA-mRNA transcriptome analysis to discover dysregulated genes and networks in meningiomas.
methodsFourteen fresh-frozen meningioma samples and one human meningeal cell line were analyzed by using miRNA and whole transcriptome microarray chips. Data was filtered and analyzed. Candidate miRNAs and mRNAs were selected for validation in fifty-eight patient samples. miRNA and target mRNA relationships were assessed by inhibiting miRNA in meningioma cells. Apoptosis and viability assays were also used as functional tests.
resultsWith the whole transcriptome microarray, 3753 genes were found to be dysregulated, and 891 miRNAs were found to be dysregulated as a result of miRNA microarray. Results were combined and analyzed with bioinformatics tools. Top differential pathways included those of inflammation, cancer, and cellular growth and survival. The oncosupressor PTX3 was constitutively low in meningioma samples. Moreover, PTX3 negatively correlated with miR-29c in our samples. Inhibiting miR-29c upregulated the PTX3 level, induced apoptosis of meningioma cells, and decreased cell viability. CABIN1, miR-29c, TMOD1, PTX3, RPL22, SPARCL1 and RELA were correlated with clinicopathological features in patient samples.
conclusionsOur results present the first integrated mRNA-miRNA analysis in meningiomas. miR-29c-3p and PTX3 are inversely correlated in tissues and meningioma cells, hinting that PTX3 can be regulated by miR-29c-3p. Furthermore, we determined potential clinicopathological markers.
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