Molecular Mechanisms of Phytochemicals from Chaga Mushroom (Inonotus obliquus) Against Colorectal Cancer: Insights from Network Pharmacology, Molecular Docking, and Bioinformatics

This study aimed to explore the molecular mechanisms of phytochemicals from Chaga mushroom (<i>Inonotus obliquus</i>) against colorectal cancer (CRC) using a combination of network pharmacology, molecular docking, and bioinformatics. Active components and targets of Chaga mushroom and CRC were collected from databases. A drug-compound-target-disease network was constructed, and protein-protein interaction (PPI) analysis was performed to identify core targets. KEGG and GO enrichment analyses were conducted to elucidate the involved pathways. Molecular docking estimated the binding affinities of key compounds to their targets, and bioinformatics analysis assessed differential gene expression and immune infiltration. The study identified 26 bioactive compounds and 244 potential targets. Core targets included AKT1, IFNG, and MMP9. Molecular docking showed strong binding affinities, and bioinformatics analysis revealed significant differential expression and immune infiltration patterns. These findings suggest that Chaga mushroom phytochemicals may exert anticancer effects through multiple pathways, highlighting their potential as novel CRC treatments. This study provides a comprehensive understanding of the molecular mechanisms underlying the anticancer effects of Chaga mushroom phytochemicals on CRC. Future research should focus on experimental validation and further exploration of their therapeutic potential.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-08-08
DOI
https://doi.org/10.3390/ijms26167664
Citations
3
Primary Topic
Fungal Biology and Applications
Type
article
Field-Weighted Citation Impact
4.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular Mechanisms of Phytochemicals from Chaga Mushroom (Inonotus obliquus) Against Colorectal Cancer: Insights from Network Pharmacology, Molecular Docking, and Bioinformatics

Jingpeng Liu, Yingzi Wu, Baojun Xu, Jinhai Luo
3 citations
International Journal of Molecular Sciences
Fungal Biology and Applications
4.18
article

Molecular Mechanisms of Phytochemicals from Chaga Mushroom (Inonotus obliquus) Against Colorectal Cancer: Insights from Network Pharmacology, Molecular Docking, and Bioinformatics

Jingpeng Liu, Yingzi Wu, Baojun Xu, Jinhai Luo
article en
3 citations

Abstract

This study aimed to explore the molecular mechanisms of phytochemicals from Chaga mushroom (<i>Inonotus obliquus</i>) against colorectal cancer (CRC) using a combination of network pharmacology, molecular docking, and bioinformatics. Active components and targets of Chaga mushroom and CRC were collected from databases. A drug-compound-target-disease network was constructed, and protein-protein interaction (PPI) analysis was performed to identify core targets. KEGG and GO enrichment analyses were conducted to elucidate the involved pathways. Molecular docking estimated the binding affinities of key compounds to their targets, and bioinformatics analysis assessed differential gene expression and immune infiltration. The study identified 26 bioactive compounds and 244 potential targets. Core targets included AKT1, IFNG, and MMP9. Molecular docking showed strong binding affinities, and bioinformatics analysis revealed significant differential expression and immune infiltration patterns. These findings suggest that Chaga mushroom phytochemicals may exert anticancer effects through multiple pathways, highlighting their potential as novel CRC treatments. This study provides a comprehensive understanding of the molecular mechanisms underlying the anticancer effects of Chaga mushroom phytochemicals on CRC. Future research should focus on experimental validation and further exploration of their therapeutic potential.

International Journal of Molecular SciencesVol. 26(16)
Hong Kong Baptist University (HK)
Good health and well-being
Openalex Percentile: Top 6%
Fungal Biology and Applications
4.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.