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Integrated in vitro and bioinformatic analysis of autophagy‑related gene expression modulated by Fe₂O₃/Au core-shell nanoparticles in breast cancer cells.

Source: PubMed, NCBI / U.S. National Library of Medicine

BMC cancerSheervalilou Milad, Sargazi Saman, Shahraki Sheida, et al.Published 5/29/2026Last synced 5/31/2026Status: syncedPMID: 42216165DOI: 10.1186/s12885-026-16068-1

Nanomaterials (NMs) with tunable physicochemical and redox properties offer powerful tools for probing cellular regulatory pathways. Accumulating evidence suggests that nanoparticles (NPs) exposure can engage autophagy, a conserved lysosome&#x2011;dependent stress&#x2011;adaptation process. In this context, iron oxide-gold core-shell nanoparticles (Fe&#x2082;O&#x2083;/Au NPs) provide a rational platform to investigate nanoparticle&#x2011;mediated modulation of autophagy&#x2011;related gene (ATG) expression in cancer cells. MCF-7 breast cancer cells and human umbilical vein endothelial cells (HUVECs) were cultured under standard conditions and treated with Fe&#x2082;O&#x2083;/Au core-shell NPs (20&#xa0;&#xb5;g/mL). Nanoparticle uptake was quantified by inductively coupled plasma mass spectrometry (ICP-MS). Gene expression of Beclin1 (BECN1), autophagy-related gene 5 (ATG5), autophagy-related protein light chain 3 (LC3-II), Sequestosome 1 (SQSTM1 or p62), and NBR1 was measured using quantitative polymerase chain reaction (RT-qPCR), normalized to Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), and analyzed via the 2method. Statistical analyses were conducted with GraphPad Prism 6, with significance set at p&#x2009;<&#x2009;0.05. Bioinformatics validation was performed using Gene Expression Omnibus (GEO) dataset GSE116436, focusing on five ATGs. ICP-MS confirmed efficient nanoparticle internalization, with higher uptake in MCF-7 cells than in HUVECs. In MCF-7 cells, Fe&#x2082;O

Abstract

Nanomaterials (NMs) with tunable physicochemical and redox properties offer powerful tools for probing cellular regulatory pathways. Accumulating evidence suggests that nanoparticles (NPs) exposure can engage autophagy, a conserved lysosome&#x2011;dependent stress&#x2011;adaptation process. In this context, iron oxide-gold core-shell nanoparticles (Fe&#x2082;O&#x2083;/Au NPs) provide a rational platform to investigate nanoparticle&#x2011;mediated modulation of autophagy&#x2011;related gene (ATG) expression in cancer cells. MCF-7 breast cancer cells and human umbilical vein endothelial cells (HUVECs) were cultured under standard conditions and treated with Fe&#x2082;O&#x2083;/Au core-shell NPs (20&#xa0;&#xb5;g/mL). Nanoparticle uptake was quantified by inductively coupled plasma mass spectrometry (ICP-MS). Gene expression of Beclin1 (BECN1), autophagy-related gene 5 (ATG5), autophagy-related protein light chain 3 (LC3-II), Sequestosome 1 (SQSTM1 or p62), and NBR1 was measured using quantitative polymerase chain reaction (RT-qPCR), normalized to Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), and analyzed via the 2method. Statistical analyses were conducted with GraphPad Prism 6, with significance set at p&#x2009;<&#x2009;0.05. Bioinformatics validation was performed using Gene Expression Omnibus (GEO) dataset GSE116436, focusing on five ATGs. ICP-MS confirmed efficient nanoparticle internalization, with higher uptake in MCF-7 cells than in HUVECs. In MCF-7 cells, Fe&#x2082;O&#x2083;/Au NPs significantly upregulated BECN1, ATG5, and LC3-II, while p62 and NBR1 were downregulated (p&#x2009;<&#x2009;0.05), indicating considerable autophagy activation and enhanced without direct flux validation. In contrast, HUVECs showed only mild, non-significant changes, consistent with partial or protective autophagy (p&#x2009;>&#x2009;0.05). Bioinformatic analysis of the GEO dataset GSE116436 confirmed significant dysregulation of five core ATGs (BECN1, ATG5, SQSTM1/p62, NBR1, and MAP1LC3B) in chemotherapy&#x2011;resistant MCF&#x2011;7 cells, with BECN1 and ATG5 showing the strongest statistical significance. Gene ontology/ Kyoto Encyclopedia of Genes and Genomes (GO/KEGG) enrichment indicated involvement of autophagy, mechanistic target of rapamycin (mTOR), p53, and stress&#x2011;response pathways. Kaplan-Meier (KM) survival analysis in the Cancer Genome Atlas-breast cancer (TCGA&#x2011;BRCA) cohort revealed gene&#x2011;specific, heterogeneous prognostic associations higher BECN1 and NBR1 linked to improved survival, while elevated ATG5 and SQSTM1 correlated with poorer outcomes. STRING&#x2011;based protein-protein interaction (PPI) analysis highlighted enrichment of growth factor signaling, extracellular matrix (ECM) organization, and focal adhesion networks, supporting functional coordination among dysregulated genes and associated stromal&#x2011;adaptive signaling modules. Fe&#x2082;O&#x2083;/Au core-shell NPs selectively altered the transcription of key ATGs in MCF&#x2011;7 breast cancer cells, with minimal effects in non&#x2011;malignant HUVECs. Bioinformatic analyses in chemotherapy&#x2011;resistant MCF&#x2011;7 models confirmed persistent dysregulation of the same ATGs and enrichment of stress&#x2011;adaptive pathways. Collectively, these findings indicate a cancer&#x2011;selective, autophagy&#x2011;associated transcriptional response and support a hypothesis&#x2011;generating link to adaptive features of resistant breast cancer cells.

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