ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2026
[Network pharmacology-based investigation of the therapeutic efficacy and molecular targets of Xiangsha Liujunzi decoction in thyroid carcinoma].
Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo explore the active components and potential molecular mechanisms of Chinese medicine Xiangsha Liujunzi decoction (XSLJZ) in the treatment of thyroid carcinoma.
methodsActive components and corresponding targets of XSLJZ were screened using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Thyroid cancer-related targets were collected from seven bioinformatics databases, including GeneCards, Online Mendelian Inheritance in Man Database (OMIM), DISGENET, DrugBank, The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Therapeutic Target Database (TTD). A protein-protein interaction (PPI) network and a multi-level "XSLJZ-medicinal materials-active components-potential targets-thyroid carcinoma" network were constructed to identify core targets. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed, followed by molecular docking to assess binding affinities.
resultsFive major active components of XSLJZ (isoliquiritigenin, naringenin, baicalein, nobiletin, and glycyrrhetinic acid) and 45 core targets for thyroid carcinoma were identified. XSLJZ and these five components significantly inhibited the proliferation of 8505C and TPC1 cells without notable toxicity to normal thyroid cells, with isoliquiritigenin showing the most prominent effect. Flow cytometry revealed that XSLJZ (16 mg/mL) induced up to (84.91±0.49)% death in TPC1 cells. Molecular docking showed low binding energies between isoliquiritigenin and protein kinase B 1 (Akt1), cysteine aspartic acid specific protease (Caspase)-3, Caspase-9, and poly ADP-ribose polymerase (PARP) (lowest -9.9 kcal/mol with PARP). XSLJZ and isoliquiritigenin dose-dependently suppressed colony formation and migration, downregu-lated receptor for advanced glycation end product (RAGE), phosphorylated phosphoino-sitide 3-kinase (PI3K), and phosphorylated Akt, upregulated B-cell lymphoma protein 2 associated X protein (BAX) and mitochondrial cytochrome c, and activated Caspase-3/9-mediated apoptosis and gasdermin E (GSDME)-dependent pyroptosis via the advanced glycation end product (AGE)-RAGE→PI3K/Akt axis.
conclusionsXSLJZ inhibits thyroid carcinoma cell proliferation and induces cell death through multi-component, multi-target synergistic regulation of the AGE-RAGE→PI3K/Akt signaling pathway.
Indexed as
Identifiers
What Socratic 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 Socratic graph.