Evidence map›Paper›PMID 42180118›Full record

ArticleFrontiers in oncology2026

Integrating network pharmacology, molecular docking, and experimental validation, this study explores the mechanism of action of Typhonii Rhizoma in colon cancer.

Fei-Yan Zhou, Bo-Hong Xu, Yue Du, Han Yu, Fang-Hua Song

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Fei-Yan ZhouDepartment of Oncology, Xinhua Hospital Affiliated to Dalian University, Dalian, Liaoning, China.
Bo-Hong XuCenter of Pelvic Floor, Xinhua Hospital Affiliated to Dalian University, Dalian, Liaoning, China.
Yue DuDepartment of Oncology, Xinhua Hospital Affiliated to Dalian University, Dalian, Liaoning, China.
Han YuDepartment of Oncology, Xinhua Hospital Affiliated to Dalian University, Dalian, Liaoning, China.
Fang-Hua SongDepartment of Oncology, Xinhua Hospital Affiliated to Dalian University, Dalian, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Typhonii Rhizoma (TR), the dried tuber of Methods: This study employed a comprehensive approach combining network pharmacology, molecular docking, and experimental validation to elucidate the potential anticancer mechanism of TR against colon cancer. Initially, the targets of TR and colon cancer were retrieved from public databases, and their intersection targets were identified. Subsequently, these targets were subjected to protein-protein interaction (PPI) network analysis, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses to identify key pathways. Molecular docking was then performed to evaluate potential interactions between active TR components and core targets. Finally, the predicted mechanisms were validated through a series of Results: Network pharmacology analysis identified 101 intersection targets shared by TR and colon cancer, with the PI3K/AKT signaling pathway emerging as the core pathway mediating the anti-colon cancer effects of TR. Furthermore, molecular docking suggested favorable interactions between several candidate components of TR and AKT1/PI3K. Consistent with these predictions, Discussion: These findings suggest that TR inhibits malignant phenotypes of colon cancer cells and may be associated with modulation of the PI3K/AKT pathway

Indexed as

colon cancerexperimental verificationmolecular dockingnetwork pharmacologyTyphonii Rhizoma

Identifiers

PMID42180118
PMCPMC13189894

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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.