ArticleClinical and experimental hepatology2025
Identification of the shared gene signatures and biological mechanism in type 2 diabetes mellitus and hepatocellular carcinoma.
Article in Clinical and experimental hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Exploring the mechanism of Shengmai San in treating lung adenocarcinoma based on bioinformatics and molecular dynamics simulation.Medicine · 2026Article
- Metabolic syndrome-related gene signature for prognosis and immune microenvironment prediction in hepatocellular carcinoma.Scientific reports · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Type 2 diabetes mellitus (T2DM) is closely related to hepatocellular carcinoma (HCC). The pathophysiological mechanism of coexistence of T2DM and HCC is unclear. The study aimed to investigate the core genes and pathways involved in the development and progression of T2DM and HCC. Material and methods: Datasets for T2DM and HCC were downloaded from the GEO to screen differentially expressed genes (DEGs). Protein-protein interaction (PPI) network analysis was performed on these DEGs to explore their functions and verify hub genes. These genes were validated by quantitative real-time polymerase chain reaction (qRT-PCR) and UALCAN analysis based on The Cancer Genome Atlas (TCGA). Finally, the transcription factor (TF)-miRNA-target gene network was constructed with hub genes, and visualized using Cytoscape software 3.6.1. Results: A total of 77 common DEGs were identified. KEGG enrichment revealed that pathways of metabolic processes are enriched in T2DM and HCC. Combining the results of MCODE and CytoHubba showed that Conclusions: This study proposed a strategy for exploring pathogenic mechanisms of T2DM and HCC. Network hub genes hold promise as disease status biomarkers and treatment targets for alleviating both T2DM and 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.