ArticleJournal of gastrointestinal oncology2023
Utilizing network pharmacology and experimental validation to explore the potential molecular mechanisms of raw
Article in Journal of gastrointestinal oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 2 citations in OpenAlex.
- Visual analysis of research status and hotspots of Pinellia ternata from 2004 to 2025: A bibliometric review.Medicine · 2026Review
- Article
- Elemene Injection Suppresses Pancreatic Cancer Progress through Regulating Cell Adhesion: A Research Based upon Network Pharmacology and Verification Test.Current medicinal chemistry · 2025Article
- A new method for assessing chronic insomnia: Machine learning-based fusion of TCM observation digital features.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Esophageal cancer (EC) is a highly lethal malignancy with a grim prognosis and high mortality rates, primarily treated through surgery and radiotherapy. Herbal remedies are emerging as complementary approaches in cancer therapy. Here, we explore the potential therapeutic benefits of Chinese medicine raw Methods: The chemical components of RP were obtained by data mining via searches of the systematic pharmacology database, analysis platform, and literature on traditional Chinese medicine (TCM). The properties of the main components of RP were calculated using Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). The potential targets of the components were mined and collected through multiple databases, and the relevant potential targets of efficacy were imported into Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database to obtain protein interactions. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathway enrichment analysis of the potential targets were performed through Metascape. A target-pathway network was established using Cytoscape, and topological analysis was performed on the network so as to obtain the relevant targets and pathways of RP in the treatment of EC. The inhibitory effect of RP on human EC cells was verified by cell experiments. Results: Thirteen bioactive components of RP were screened, 87 related targets were obtained by construction, and 68 co-targets were obtained after taking intersection with EC related genes. The results of the protein-protein interaction (PPI) network analysis of the targets showed that the pharmacodynamic targets of hemicellulose might be closely related to the signaling pathways such as PI3K-Akt, FOS/JUN, and HIF-1. Meanwhile, GO and KEGG enrichment analysis showed that PI3K-Akt was also significantly enriched. The Conclusions: The pharmacodynamic mechanism of RP in the treatment of esophageal carcinoma was preliminarily revealed, which provided ideas and the basis for further experimental study of RP in the treatment of esophageal carcinoma.
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.