Huachansu Anti-Cancer Mechanisms: Chemical Profiling and In Vivo Evidence

17 chemical constituents of the traditional Chinese medicine Huachansu were profiled using LC-MS. Network pharmacology analysis identified 142 overlapping targets enriched in apoptosis and cancer pathways, with in vivo experiments validating tumor reduction and gut microbiota remodeling. The dataset, authored by Jinghui Zhang and last updated in May 2026, contains the supporting research document.

Use Cases

• Validate apoptosis-related gene targets based on the 142 overlapping targets identified.
• Study compound-protein interactions using the molecular docking results for STAT3, EGFR, AKT1, and PARP1.
• Analyze gut microbiota alterations following treatment based on the 16S rRNA sequencing data mentioned.
• Model the combined therapeutic effects of bufalin and cinobufotalin using the in vivo experimental results.

Strengths

• Documented identification of 17 chemical constituents via LC-MS profiling.
• Network pharmacology analysis defined 142 overlapping targets for mechanistic study.
• In vivo validation includes multiple assays: tumor burden, proliferation (Ki-67), apoptosis (TUNEL, Bax/Bcl-2), and gut microbiota sequencing.

Limitations

• The dataset is a single 193.3 KB DOCX file, suggesting limited raw data scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for computational analysis.

Provenance

Source

Jinghui Zhang via figshare.

Collection Method

LC-MS profiling, network pharmacology analysis, molecular docking, and in vivo experiments with 16S rRNA sequencing.

Freshness

Last updated 2026-05-13 05:52:07; freshness should be verified.