Evidence map›Paper›PMID 42211002›Full record

ArticleBiochemistry and biophysics reports2026

Drug repositioning in metastatic prostate cancer based on protein- protein interaction network: Computational and in vitro analysis.

Zakie Saadat, Seyed Mahdi Ahmadi, Mohammad Javad Bazyari, Seyed Hamid Aghaee-Bakhtiari

Abstract read
In one paragraph

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

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zakie SaadatDepartment of Medical Biotechnology and Nanotechnology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyed Mahdi AhmadiDepartment of Medical Biotechnology and Nanotechnology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad Javad BazyariDepartment of Medical Biotechnology and Nanotechnology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyed Hamid Aghaee-BakhtiariBioinformatics Research Center, Basic Sciences Research Institute, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis is a big challenge for prostate cancer patients that reduces their overall survival from 98.2% to 30%. Therefore, it is important to find the underlying mechanism driving metastasis and find a drug that can prevent cell invasion, migration, and metastasis. Here, we analyzed publicly available expression data of primary and metastasized tissue of Prostate cancer extracted from the GEO database. The obtained Differentially Expressed Genes (DEGs) were used to construct the Protein-Protein Interaction (PPI) and functional networks. These DEGs were enriched in pathways such as blood vessel development, and mesenchyme migration which are involved in the process of Prostate cancer metastasis. The hub genes in the constructed PPI network were subjected to the DrugBank query to find candidate drugs with potential inhibitory effects on metastasis. We found that Artesunate can target three hub genes: CSRP1, FLNA, and TPM1. Finally, we validate this finding by in vitro assessments on the LNCaP cell line. We observed that 2.5 mg/ml Artesunate in the scratch assay reduced the scratch closure rate by about 50% compared to the control in 48 h. These findings suggest that Artesunate may be a promising therapeutic agent for inhibiting prostate cancer metastasis.

Indexed as

MetastasisProstate cancerProtein interaction networkSystem biology

Identifiers

PMID42211002
PMCPMC13214309

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