ArticleFrontiers in pharmacology2021
A System Pharmacology Model for Decoding the Synergistic Mechanisms of Compound Kushen Injection in Treating Breast Cancer.
Article in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Synergistic anticancer effects of tamoxifen in combination with fisetin and chrysin on breast cancer cells: insights into viability, migration, and apoptosis.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Chinese medicine-based interventions in triple-negative breast cancer: mechanistic evidence, clinical findings, and translational challenges-a narrative review.Frontiers in pharmacology · 2026Review
- Network Pharmacology Study on the Underlying Mechanism of Danggui-Kushen Herb Pair in Adjuvant Chemotherapeutics against Breast Cancer.Combinatorial chemistry & high throughput screening · 2025Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer (BC) is one of the most common malignant tumors among women worldwide and can be treated using various methods; however, side effects of these treatments cannot be ignored. Increasing evidence indicates that compound kushen injection (CKI) can be used to treat BC. However, traditional Chinese medicine (TCM) is characterized by "multi-components" and "multi-targets", which make it challenging to clarify the potential therapeutic mechanisms of CKI on BC. Herein, we designed a novel system pharmacology strategy using differentially expressed gene analysis, pharmacokinetics synthesis screening, target identification, network analysis, and docking validation to construct the synergy contribution degree (SCD) and therapeutic response index (TRI) model to capture the critical components responding to synergistic mechanisms of CKI in BC. Through our designed mathematical models, we defined 24 components as a high contribution group of synergistic components (HCGSC) from 113 potentially active components of CKI based on ADME parameters. Pathway enrichment analysis of HCGSC targets indicated that
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