ArticleJournal of clinical laboratory analysis2022
Role of m
Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
23 citing papers in PubMed, 22 citations in OpenAlex.
- Nanocarriers engineering for efficient NSUN2 silencing and immune responsive therapy in metastatic colorectal cancer.Materials today. Bio · 2026Article
- Downregulated m⁵C regulator NSUN6 enhances proliferation, migration and affects immune regulation in ovarian cancer.Scientific reports · 2026Article
- Review
- RNA modifications: roles in immune cell biology and tumor regulation.Cancer cell international · 2025Review
- Targeting epigenetic regulators as a promising avenue to overcome cancer therapy resistance.Signal transduction and targeted therapy · 2025Review
- m5C RNA methylation in cancer: from biological mechanism to clinical perspectives.European journal of medical research · 2025Review
- Construction of a multigenic diagnostic, prognostic, and immune infiltration model with methylation-associated regulators in esophageal squamous cell carcinoma.Journal of thoracic disease · 2025Article
- Detection, molecular function and mechanisms of m5C in cancer.Clinical and translational medicine · 2025Review
- NSUN2-mediated mTheranostics · 2025Article
- Recent research advances in RNA m5C methylation modification in liver diseases.Frontiers in molecular biosciences · 2025Review
- RNA modification regulators as promising biomarkers in gynecological cancers.Cell biology and toxicology · 2024Review
- Decoding the role of tRNA modifications in cancer progression.Current opinion in genetics & development · 2024Review
- Narrative review of research progress of RNA mTranslational cancer research · 2024Review
- Review
- Optimized screening of DNA methylation sites combined with gene expression analysis to identify diagnostic markers of colorectal cancer.BMC cancer · 2023Article
- Review
- Contribution of m5C RNA Modification-Related Genes to Prognosis and Immunotherapy Prediction in Patients with Ovarian Cancer.Mediators of inflammation · 2023Article
- Vital roles of mFrontiers in immunology · 2023Review
- Role of mJournal of clinical laboratory analysis · 2022Article
- RNA Modifications Meet Tumors.Cancer management and research · 2022Review
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 1 institution in 1 country.
Funding
Abstract
backgroundRNA modification has become one of the hot topics of research as it can be used for tumor prognosis. However, its role in various biological processes is still poorly understood. The aim of this study was to investigate the role of m
methodsWe selected publicly available colorectal cancer data sets from The Cancer Genome Atlas and used the "limma" package in R to identify differentially expressed genes. The least absolute shrinkage and selection operator regression model was used to calculate the prognostic risk, and a risk prediction model was constructed, to help assess the prognostic values of the differentially expressed genes. Finally, using TISCH and TIMER, we assessed the extent of cellular infiltration in colorectal cancer.
resultsWe explored NSUN6 and DNMT3A expression using UALCAN and HPA and found that their expression is significantly increased in colorectal cancer tissues and correlated with sex and TP53 mutation status. Moreover, we found NSUN6 and DNMT3A were related to the infiltration of six major immune cells, with DNMT3A being closely related to dendritic cells, CD4
conclusionOur findings suggest that m
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What OpenQuestion holds
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.