ArticleBMC cancer2025
Network pharmacology analysis and in vitro experimental validation of liriodenine against non-small cell lung cancer.
Article in BMC cancer, 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.
- Comprehensive Investigation into the Antioxidant Phytochemicals and Molecular Mechanisms of the GenusInternational journal of molecular sciences · 2026Article
- Artificial intelligence in non-small cell lung cancer: transforming diagnosis, treatment, and prognostic evaluation.Frontiers in medicine · 2026Review
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.
Funding
Abstract
objectiveLiriodenine, a natural aporphine alkaloid from various medicinal plants, has shown antitumor activity in several cancers. However, its role and mechanisms in non-small cell lung cancer (NSCLC) remain unclear.
methodsPotential targets of liriodenine and NSCLC were retrieved from public databases. Core targets were identified using random forest and the Least Absolute Shrinkage and Selection Operator regression algorithms. Molecular docking and dynamics simulations assessed the binding affinity and stability between liriodenine and its targets. In vitro assays were performed in A549 cells. Cell viability, proliferation, migration, and apoptosis were evaluated by CCK-8, colony formation, wound healing, and flow cytometry, respectively. Western blot was used to measure Transforming Growth Factor Beta 1(TGF-β1)expression.
resultsSixty-five overlapping targets were identified. Computational analysis showed that liriodenine strongly and stably binds TGF-β1. In vitro, liriodenine significantly inhibited proliferation and migration, induced apoptosis, and downregulated TGF-β1 expression in a dose-dependent manner. These effects provide evidence suggesting the involvement of the TGF-β1/Epithelial-Mesenchymal Transition pathway.
conclusionThis study provides both computational and experimental evidence that liriodenine inhibits the growth and migration of NSCLC cells and promotes apoptosis by suppressing TGF-β1. These findings highlight its potential as a natural candidate for targeted therapy against NSCLC.
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.