ArticleFrontiers in oncology2021
Analysis and Validation of circRNA-miRNA Network in Regulating m
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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
40 citing papers in PubMed, 50 citations in OpenAlex.
- RNA‑binding proteins as epithelial transcriptome orchestrators in gastric cancer: Immune‑metabolic crosstalk and therapeutic vulnerability (Review).International journal of molecular medicine · 2026Review
- Targeting m6A methylation for early diagnosis and precision medicine in hepatocellular carcinoma.Cancer cell international · 2025Review
- Elevated CEP72 expression facilitates the progression of hepatocellular carcinoma and is associated with unfavorable outcomes.Discover oncology · 2025Article
- Article
- Recent Advances in the Mutual Regulation of m6A Modification and Non-Coding RNAs in Atherosclerosis.International journal of general medicine · 2025Review
- The epitranscriptome meets non-coding RNA: m6A-mediated regulation in oncogenesis and therapy.Frontiers in cell and developmental biology · 2025Review
- Single-cell and spatial transcriptomics reveal correlation between RNA methylation-related miRNA risk model and immune infiltration in hepatocellular carcinoma.Frontiers in oncology · 2025Article
- RNA modifications in the progression of liver diseases: from fatty liver to cancer.Science China. Life sciences · 2024Review
- The YTH domain-containing protein family: Emerging players in immunomodulation and tumour immunotherapy targets.Clinical and translational medicine · 2024Review
- Cross-talk between circRNAs and m6A modifications in solid tumors.Journal of translational medicine · 2024Review
- Non-coding RNA-Mediated N6-Methyladenosine (mNon-coding RNA research · 2024Review
- Research Progress on the Role of Epigenetic Methylation Modification in Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2024Review
- Non-coding RNA methylation modifications in hepatocellular carcinoma: interactions and potential implications.Cell communication and signaling : CCS · 2023Review
- The potential role and mechanism of circRNAs in foam cell formation.Non-coding RNA research · 2023Review
- Overview of mJournal of cancer research and clinical oncology · 2023Review
- Review
- Biological function analysis of ARHGAP39 as an independent prognostic biomarker in hepatocellular carcinoma.Aging · 2023Article
- RNA mMolecular oncology · 2023Review
- The potential role of m6A reader YTHDF1 as diagnostic biomarker and the signaling pathways in tumorigenesis and metastasis in pan-cancer.Cell death discovery · 2023Review
- The function and clinical implication of YTHDF1 in the human system development and cancer.Biomarker 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
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The m
Indexed as
Identifiers
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.