Evidence map›Paper›PMID 41282538›Full record

ArticleBiochemistry and biophysics reports2025

Evaluation of genes and molecular pathways involved in ferroptosis in breast cancer: A systems biology and bioinformatics approach.

Arezu Heydari, Javad Yaghmoorian Khojini, Mohammad Javad Hayati, Fatemeh Khara, Seyed Mohammad Sadra Abootorabi, Hamed Manoochehri, Mohammad Javad Mousavi

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Article in Biochemistry and biophysics reports, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Arezu HeydariDepartment of Molecular Medicine, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Javad Yaghmoorian KhojiniDepartment of Medical Biotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Javad HayatiDepartment of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Fatemeh KharaDepartment of Molecular Medicine, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Seyed Mohammad Sadra AbootorabiStudent Research Committee, Bushehr University of Medical Sciences, Bushehr, Iran.
Hamed ManoochehriThe Persian Gulf Marine Biotechnology Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.
Mohammad Javad MousaviDepartment of Immunology, Asthma and Allergy, The Persian Gulf Tropical Medicine Research Center, Bushehr University of Medical Sciences, Bushehr, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer (BC) is a leading cause of cancer mortality worldwide. Ferroptosis, an unique form of iron-dependent cell death, has emerged as a promising therapeutic target to overcome drug resistance. This study aimed to identify key ferroptosis-related genes and their regulatory pathways that are dysregulated in BC. Methods: Through a systems biology approach, we analyzed gene expression data from two independent GEO datasets. We identified differentially expressed genes (DEGs) in tumor versus normal tissues and intersected them with a curated database of ferroptosis regulators to define a high-confidence list of Ferroptosis-related DEGs (FeffDEGs). Subsequently, we performed functional enrichment, protein-protein interaction (PPI) network analysis to identify hub genes, and explored their potential regulatory miRNAs and transcription factors (TFs). Results: We identified 73 FeffDEGs significantly enriched in pathways related to oxidative stress and lipid metabolism. Seven hub genes were pinpointed, including the upregulated oncogene Conclusions: Our findings highlight that hub genes like

Indexed as

Bioinformatics analysisBreast cancerFerroptosisGene expressionHub genesPathway analysisProtein-protein interaction (PPI)

Identifiers

PMID41282538
PMCPMC12639381

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