ArticleScientific reports2025
Exploring the mechanism of Naringenin in the treatment of hepatocellular carcinoma based on mRNA sequencing and experimental validation.
Article in Scientific reports, 2025. 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.
- Therapeutic potential and molecular mechanisms of citrus flavonoids in hepatocellular carcinoma.Frontiers in pharmacology · 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
5 authors.
Funding
Abstract
Hepatocellular carcinoma (HCC) ranks among the top three causes of cancer-related mortality globally and is associated with a relatively low five-year overall survival rate. Naringenin has demonstrated significant inhibitory effects on various neoplasms; however, the mechanisms of action and potential molecular targets of naringenin in the context of HCC remain to be elucidated. Cellular proliferation in cancer cells was quantified using the Cell Counting Kit-8 (CCK-8) assay. Wound healing and transwell tests were employed to evaluate the migratory and invasive capabilities of the cells, respectively. Apoptosis was evaluated using Hoechst staining to visualize nuclear changes and flow cytometry to quantify apoptotic populations. Following mRNA sequencing, we integrated the TCGA database with known naringenin-related targets to identify overlapping genes, which were subsequently subjected to clinical significance analysis. The expression of these genes was confirmed at the protein and mRNA levels using Western blot (WB) and quantitative PCR (qPCR), respectively. In vivo experiments were conducted using an MHCC-97H xenograft model in nude mice, with histopathological examination of tumor sections performed using hematoxylin and eosin (H&E) staining. In vitro, naringenin demonstrated a potent inhibitory effect on the proliferation, invasion, and migration of MHCC-97H and Huh7 cells while exhibiting a pronounced pro-apoptotic impact on both cell lines. mRNA sequencing results revealed significant differential gene expression. Utilizing Venn diagrams, we identified key genes, including IGFBP3, PGF, CA9, AKR1C3, KLK1, and CHRNA7. We implicated signaling pathways such as the"Wnt signaling pathway"and"MAPK signaling pathway"as potentially critical in naringenin's anti-HCC activity. The clinical significance analysis revealed that CA9 and AKR1C3 were identified as autonomous prognostic variables for hepatocellular carcinoma (HCC), a conclusion supported by molecular docking investigations. The therapeutic promise of naringenin was further supported by its considerable reduction in tumor weight and volume shown in animal trials. This study shows that naringenin may regulate signaling pathways by targeting a series of genes: IGFBP3, PGF, CA9, AKR1C3, KLK1, and CHRNA7, resulting in the inhibition of tumor cell proliferation and metastasis, alongside the promotion of apoptosis.
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.