ArticleAging2023
Identification of M5c regulator-medicated methylation modification patterns for prognosis and immune microenvironment in glioma.
Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 13 citations in OpenAlex.
- RNA methylation in autoimmune rheumatic diseases: mechanisms and therapeutic potential.Frontiers in immunology · 2026Review
- FUBP3 mediates MXI1 stability to silence RRAS and hinder MAPK signaling in acute megakaryoblastic leukemia progression.Cancer immunology, immunotherapy : CII · 2025Article
- 5-Methylcytosine RNA modification and its roles in cancer and cancer chemotherapy resistance.Journal of translational medicine · 2025Review
- 5-Methylcytosine methylation predicts cervical cancer prognosis, shaping immune cell infiltration.The Journal of international medical research · 2025Article
- Review
- RNA m5C modification: from physiology to pathology and its biological significance.Frontiers in immunology · 2025Review
- The role of RNA methylation in glioma progression: mechanisms, diagnostic implications, and therapeutic value.Frontiers in immunology · 2025Review
- Review
- The Quiet Giant: Identification, Effectors, Molecular Mechanism, Physiological and Pathological Function in mRNA 5-methylcytosine Modification.International journal of biological sciences · 2024Review
- The prognostic and immune significance of PLBD1 in pan-cancer and its roles in proliferation and invasion of glioma.Journal of Cancer · 2024Article
- Deciphering the vital roles and mechanism of m5C modification on RNA in cancers.American journal of cancer research · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioma is a common intracranial tumor and is generally associated with poor prognosis. Recently, numerous studies illustrated the importance of 5-methylcytosine (m5C) RNA modification to tumorigenesis. However, the prognostic value and immune correlation of m5C in glioma remain unclear. We obtained RNA expression and clinical information from The Cancer Genome Atlas (TCGA) and The Chinese Glioma Genome Atlas (CGGA) datasets to analyze. Nonnegative matrix factorization (NMF) was used to classify patients into two subgroups and compare these patients in survival and clinicopathological characteristics. CIBERSORT and single-sample gene-set algorithm (ssGSEA) methods were used to investigate the relationship between m5C and the immune environment. The Weighted correlation network analysis (WGCNA) and univariate Cox proportional hazard model (CoxPH) were used to construct a m5C-related signature. Most of m5C RNA methylation regulators presented differential expression and prognostic values. There were obvious relationships between immune infiltration cells and m5C regulators, especially NSUN7. In the m5C-related module from WGCNA, we found SEPT3, CHI3L1, PLBD1, PHYHIPL, SAMD8, RAP1B, B3GNT5, RER1, PTPN7, SLC39A1, and MXI1 were prognostic factors for glioma, and they were used to construct the signature. The great significance of m5C-related signature in predicting the survival of patients with glioma was confirmed in the validation sets and CGGA cohort.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.