Evidence map›Paper›PMID 40416795›Full record

ArticleDrug design, development and therapy2025

ITGA4 Contributes to 5-Fluorouracil Resistance by Up-Regulating PI3K/AKT Signaling: Evidence from Network Pharmacology, Molecular Docking and Experimental Verification.

Sicheng Yan, Xiaomeng Hu, Yan Wu, Wangfang Ye, Yuehong Zhu, Yuxuan He, Fuyuan Zhan, Wei Wu, Zhihong Ma

Abstract read
In one paragraph

Article in Drug design, development and therapy, 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

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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Sicheng YanHuzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, People's Republic of China.
Xiaomeng HuHuzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, People's Republic of China.
Yan WuHuzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, People's Republic of China.
Wangfang YeHuzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, People's Republic of China.
Yuehong ZhuHuzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, People's Republic of China.
Yuxuan HeHuzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, People's Republic of China.
Fuyuan ZhanHuzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, People's Republic of China.
Wei WuKey Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of Huzhou, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, People's Republic of China.ORCID 0000-0002-4894-7178
Zhihong MaHuzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: 5-Fluorouracil (5-FU) is a mainstream drug used in chemotherapy and chemoradiotherapy regimens for the clinical treatment of malignancies, such as gastric cancer (GC), colorectal cancer, and breast cancer. However, the molecular mechanism of action of 5-FU in GC has not yet been studied using a network pharmacology approach. Methods: The mechanism of action of 5-FU in GC was determined using a network pharmacology technique, and our findings were confirmed by various computational approaches and experimental tests using the GeneCards database, ChEMBL database, STRING database, molecular docking, molecular dynamics simulation, DAVID, GEPIA, Kaplan‒Meier Plotter, CCK-8 assays, colony formation experiments, cell proliferative assay, apoptosis assays, wound-healing assays, Real-time PCR and Western blot tests. Results: A total of 21 shared and 13 potential targets were identified using PPI network analysis. Kyoto Encyclopaedia of Genes and Genomes (KEGG) enrichment analyses indicated that the PI3K/AKT signaling pathway may be a significant pathway. Combined with molecular docking and database verification, F10, NR3C1, DHFR, CA2, BCHE, ACHE, and ITGA4 were identified as candidate core genes. Moreover, the experimental results illustrated that ITGA4 induces 5-FU resistance by up-regulating PI3K/AKT signaling. Conclusion: Network pharmacology is a feasible scientific research strategy for revealing the multitarget-multipathway role of 5-FU in the treatment of GC and provides ITGA4-based new ideas and therapeutic strategy to overcome 5-FU resistance for GC treatment.

Indexed as

Antimetabolites, AntineoplasticDrug Resistance, NeoplasmFluorouracilMolecular Docking SimulationPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktStomach NeoplasmsApoptosisCell ProliferationDose-Response Relationship, DrugDrug Screening Assays, AntitumorHumansNetwork PharmacologySignal TransductionUp-RegulationAntimetabolites, AntineoplasticFluorouracilPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-akt5-FUgastric cancerITGA4molecular dockingnetwork pharmacologyPI3K/AKT pathwayresistance

Identifiers

PMID40416795
PMCPMC12103172

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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.