Evidence map›Paper›PMID 40487391›Full record

ArticleFrontiers in pharmacology2025

Exploring the anti-gastric cancer mechanisms of Diosgenin through integrated network analysis, bioinformatics, single-cell sequencing, and cell experiments.

Zhangjun Yun, Qianru Yang, Chengyuan Xue, Yang Shen, Liyuan Lv, Suicai Mi, Li Hou

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. Review
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

7 authors.

Zhangjun YunDepartment of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Qianru YangDepartment of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Chengyuan XueDepartment of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yang ShenDepartment of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Liyuan LvDepartment of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Suicai MiDepartment of Oncology, Xiamen Hospital, Beijing University of Chinese Medicine, Xiamen, China.
Li HouDepartment of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To comprehensively investigate the mechanism of action of Diosgenin elements against gastric cancer (GC). Methods: Targets of Diosgenin were collected from six databases, and enrichment analysis was used to identify its associated diseases and biological pathways. GC-related genes were identified using weighted gene co-expression network analysis. A multi-approach strategy, including network analysis, bioinformatics, single-cell RNA sequencing, Mendelian randomization, and cell experiments, was used to explore the anti-GC mechanisms of Diosgenin. Results: In this study, 605 Diosgenin targets were identified, with key involvement in cell apoptosis, TNF signaling, and platinum resistance pathways, demonstrating significant enrichment in GC. Diosgenin may exert its anti-GC effects through 311 targets, involving regulation of the cell cycle, p53, and FoxO signaling pathway. Key effectors, including CDK1, CCNA2, TOP2A, CHEK1, and PLK1, were identified. Single-cell sequencing indicated that TOP2A, HSP90AA1, and HSP90AB1 might be crucial immune regulatory targets of Diosgenin. Diosgenin significantly inhibited GC cell proliferation, colony formation, migration, and invasion. Evidence from western blot analysis indicates that Diosgenin exerts anti-GC effects by suppressing the expression of PLK1 and MDM2 proteins while upregulating p53 protein levels. Conclusion: These findings highlight Diosgenin's potential as a promising therapeutic agent for GC, offering a foundation for future research and clinical applications.

Indexed as

Diosgeningastric cancerMDM2mechanismnetwork analysisp53plk1

Identifiers

PMID40487391
PMCPMC12142469

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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.