ArticleHeliyon2024
Identification of a novel survival and immune microenvironment related ceRNA regulatory network for hepatocellular carcinoma based on circHECTD1.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Bone marrow mesenchymal stem cell-derived circHECTD1 targets claudin1 through the CTCF/METTL3 axis to alleviate ulcerative colitis : Short title: BMSC-derived circHECTD1 alleviates UC.Cellular and molecular life sciences : CMLS · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: CircHECTD1 (circ_0031450) is highly expressed in hepatocellular carcinoma (HCC) tissues and may act as an oncogene. Its specific competitive endogenous RNA (ceRNA) mechanism remains to be further elucidated. Methods: Several databases and online platforms, including pathway activity, immune checkpoint, and overall survival analyses, were used to predict targets, download datasets, and perform online analyses. The R software was used for differential gene expression analysis, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), clinical relevance, receiver operator characteristic curve, and single-cell analysis. Cytoscape software was used to construct ceRNAs, protein-protein interactions (PPI), and pivotal networks. Results: The ceRNA, PPI, and pivotal networks were successfully constructed. Pathway enrichment analysis was mainly related to apoptosis, cell cycle, and epithelial-mesenchymal transition (EMT) pathways. Six pivotal targets related to survival, immune infiltration, immune checkpoints, clinical stage, and diagnosis of patients with HCC were identified. The recovery function and pathway enrichment results were consistent with previous results. Single-cell analysis suggested that the pivotal targets were highly expressed in T cells. Conclusion: We successfully constructed a prognosis and immune microenvironment-related ceRNA network based on circHECTD1, providing new insights for diagnosing and treating HCC.
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.