ArticleMedical science monitor : international medical journal of experimental and clinical research2020
Network Pharmacology-Based Study on the Molecular Biological Mechanism of Action for Compound Kushen Injection in Anti-Cancer Effect.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- Efficacy and Safety of Compound Kushen Injection for Advanced Colorectal Cancer: A Systematic Review and Meta-Analysis of Randomized Clinical Trials with Trial Sequential Analysis.Integrative cancer therapiesPooled it
- Effects and potential mechanisms of luteolin on cisplatin mediated inhibition of cervical adenocarcinoma.Open life sciences · 2026Article
- Progress of traditional Chinese medicine in the prevention and treatment of colorectal cancer.World journal of gastrointestinal oncology · 2025Review
- Chinese herbal medicines: the modifier of hepatocellular carcinoma targeting Wnt/β-catenin signaling pathway.Frontiers in pharmacology · 2025Review
- Article
- Identification of glycogen phosphorylase L as a potential target for lung cancer.Medical oncology (Northwood, London, England) · 2023Article
- Analysis of Network Pharmacological Efficacy and Therapeutic Effectiveness in Animal Models for Functional Dyspepsia ofNutrients · 2023Article
- Exploring the molecular mechanism of Gan Shuang granules for the treatment of non-alcoholic steatohepatitis using network pharmacology, molecular docking, and experimental verification.Frontiers in pharmacology · 2023Article
- Isorhamnetin inhibits progression of ovarian cancer by targeting ESR1.Annals of translational medicine · 2022Article
- Compound Kushen injection inhibits EMT of gastric cancer cells via the PI3K/AKT pathway.World journal of surgical oncology · 2022Article
- Matrine exerts antitumor activity in cervical cancer by protective autophagy via the Akt/mTOR pathwayOncology letters · 2022Article
- Cell cycle arrest is an important mechanism of action of compound Kushen injection in the prevention of colorectal cancer.Scientific reports · 2022Article
- Decoding the Key Functional Combined Components Group and Uncovering the Molecular Mechanism of Longdan Xiegan Decoction in Treating Uveitis.Drug design, development and therapy · 2022Article
- A study of the therapeutic mechanism of Jakyakgamcho-Tang about functional dyspepsia through network pharmacology research.International journal of medical sciences · 2022Article
- Exploration of the System-Level Mechanisms of the Herbal Drug FDY003 for Pancreatic Cancer Treatment: A Network Pharmacological Investigation.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Gene Network Mechanism of Zhilong Huoxue Tongyu Capsule in Treating Cerebral Ischemia-Reperfusion.Frontiers in pharmacology · 2022Article
- Investigation of Anti-Liver Cancer Activity of the Herbal Drug FDY003 Using Network Pharmacology.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Wenzi Jiedu Recipe ameliorates colorectal cancer by remodeling the gut microbiota and tumor microenvironment.Frontiers in oncology · 2022Article
- Exploring the nucleotide molecular mechanism of compound kushen injection for lung adenocarcinoma based on network pharmacology and molecular docking.Frontiers in oncology · 2022Article
- A systematic review and meta-analysis on the efficacy of Compound Kushen Injection in 3 kinds of digestive tract tumor.Journal of gastrointestinal oncology · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Compound Kushen injection (CKI) is a traditional Chinese medicine preparation for clinical treatment of cancer pain or treatment of various types of solid tumors. The purpose of this study was to identify the main active compounds from CKI and to investigate its anti-cancer mechanisms via drug target biological network pharmacology construction and prediction. MATERIAL AND METHODS Constituents of CKI were retrieved from Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. Disease targets were collected in the Human Gene (Gene Cards) and Human Mendelian Inheritance (OMIM) databases. "Ingredients-protein targets-pathway" networks were constructed using Cytoscape. STRING database platform to construct enrichment of protein-protein interactions (PPI), related diseases and pathways network. Gene Ontology (GO) biological functions and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway of were performed to investigate by using Bioconductor tool for analysis. RESULTS The results indicated that 60 constituents of absorption, distribution, metabolism, and excretion (ADME) filtration resulted in 33 constituents exhibiting significant correlations with anti-cancer and CKI may target 113 proteins, including IL6, EGFR, CASP3, VEGFA, MYC, and ESR1. GO and KEGG enrichment analysis results show that 129 biological processes and 93 signal pathways associated with cancer. It mainly involves cancers such as prostate cancer, bladder cancer, hepatocellular carcinoma, colorectal cancer, breast cancer, etc. Active ingredients might also induce apoptosis in cancer cells via the p53 and PI3K-Akt signaling pathway mechanism. CONCLUSIONS This study was based on pharmacological networks results for the prediction of the multi-constituent, multi-target, and multi-pathway mechanisms of CKI, which might be a promising potential therapeutic and prevention candidate for anti-cancer. However, based on computer data mining and analysis, this study still needs to be further verified by in vivo/in vitro experiments, and the safety of CKI needs to be evaluated.
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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.