Evidence map›Paper›PMID 41828365›Full record

ArticleInternational journal of molecular sciences2026

Investigating the Mechanism of Edible Medicinal Plants Against Squamous Cell Carcinomas Based on Network Pharmacology, Bioinformatics, and Molecular Dynamics Simulation.

Shanfeng Liang, Shunzhen Yu, Xudong Tang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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

3 authors.

Shanfeng LiangSchool of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, China.ORCID 0009-0005-5381-7246
Shunzhen YuSchool of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, China.
Xudong TangShenzhen Research Institute of Lanzhou University, Shenzhen 518107, China.ORCID 0009-0004-1028-3283

Funding

the National Key Research and Development Program of China 2017YFD0502205
6 · The paper itself

Abstract

This study utilized network pharmacology, bioinformatics, along with machine learning to investigate the multi-target synergistic anti-cancer mechanisms of three edible medicinal plants (EMPs)-mulberry leaf, lotus leaf, and sea buckthorn-against oral and esophageal squamous cell carcinomas (OSCC and ESCC). We identified potential active constituents and their targets through mining Traditional Chinese Medicine Systems Pharmacology (TCMSP) and Swiss Target Prediction databases. Concurrently, integration with differential expression profiles and co-expression modules identified crucial intersection targets between the EMPs and these two cancers. Subsequent machine learning algorithms and cross-cancer analysis consistently identified Matrix Metalloproteinase-1 (

Indexed as

Carcinoma, Squamous CellComputational BiologyEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaMouth NeoplasmsNetwork PharmacologyPlants, EdiblePlants, MedicinalGene Expression Regulation, NeoplasticHumansMolecular Dynamics Simulationbioinformaticsedible medicinal plantsmatrix metalloproteinase-1network pharmacologysquamous cancer

Identifiers

PMID41828365
PMCPMC12984224

What OpenQuestion holds

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Registered trials

None linked

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.