Systems toxicology unravels multi-tiered carcinogenic networks of zearalenone in gastric cancer

Introduction: Gastric cancer (GC) is a leading cause of cancer mortality worldwide, and dietary factors like mycotoxins play a significant role in its etiology. Zearalenone (ZEN), a widespread grain contaminant, is a suspected carcinogen; however, its molecular mechanisms in GC remain unclear. This study used an integrated systems toxicology approach to identify key targets and pathways of ZEN-induced GC and validate the findings. Methods: An integrated computational and experimental strategy was used. GC-related genes were identified from Gene Expression Omnibus (GEO) datasets using differential expression and weighted gene co-expression network analysis (WGCNA). ZEN targets were obtained from multiple databases. Common targets were analyzed for pathway enrichment and protein-protein interactions. Eleven machine learning algorithms screened for core driver genes among these common targets. The binding stability of ZEN to core targets was assessed using molecular docking and 100-ns molecular dynamics simulations. In vitro functional validation was performed using CCK-8, colony formation, EdU, and wound healing assays on the human GC cell line MKN-45. Results: We identified 157 common targets of ZEN and GC. Enrichment analysis highlighted key pathways, including P13K-Akt signaling and glycolysis. Machine learning identified six core driver genes (COL1A1, INHBA, PKM2, THBS2, MFAP2, and CPA2) with high diagnostic potential (AUC>0.85). Molecular simulations confirmed ZEN forms stable complexes with core targets, particularly PKM2 and THBS2. In vitro experiments showed low concentrations of ZEN (40-80 nM) significantly promoted proliferation and migration of MKN-45 cells, demonstrating a hormetic effect. Discussion: This study suggests ZEN promotes GC progression through a multi-level network. ZEN may directly modulate key effector proteins such as PKM2 to induce metabolic reprogramming. The observed hormetic pro-proliferative and pro-migratory responses were linked to the pre-existing activation state of the PI3K/Akt pathway. These findings provide novel mechanistic insights into the carcinogenic risk of ZEN.

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Journal
Frontiers in Oncology
Published
2026-03-31
DOI
https://doi.org/10.3389/fonc.2026.1762191
Primary Topic
Mycotoxins in Agriculture and Food
Type
article
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article

Systems toxicology unravels multi-tiered carcinogenic networks of zearalenone in gastric cancer

Shun Chen, Yao Lin, Heng Zhang, Jia Lin et al.
Frontiers in Oncology
Mycotoxins in Agriculture and Food
article

Systems toxicology unravels multi-tiered carcinogenic networks of zearalenone in gastric cancer

Shun Chen, Yao Lin, Heng Zhang, Jia Lin, Lei Chen, Guo Lin, Weihua Huang, Ziyi Jin, Hangbin Zheng, Yihui Guo
article en

Abstract

Introduction: Gastric cancer (GC) is a leading cause of cancer mortality worldwide, and dietary factors like mycotoxins play a significant role in its etiology. Zearalenone (ZEN), a widespread grain contaminant, is a suspected carcinogen; however, its molecular mechanisms in GC remain unclear. This study used an integrated systems toxicology approach to identify key targets and pathways of ZEN-induced GC and validate the findings. Methods: An integrated computational and experimental strategy was used. GC-related genes were identified from Gene Expression Omnibus (GEO) datasets using differential expression and weighted gene co-expression network analysis (WGCNA). ZEN targets were obtained from multiple databases. Common targets were analyzed for pathway enrichment and protein-protein interactions. Eleven machine learning algorithms screened for core driver genes among these common targets. The binding stability of ZEN to core targets was assessed using molecular docking and 100-ns molecular dynamics simulations. In vitro functional validation was performed using CCK-8, colony formation, EdU, and wound healing assays on the human GC cell line MKN-45. Results: We identified 157 common targets of ZEN and GC. Enrichment analysis highlighted key pathways, including P13K-Akt signaling and glycolysis. Machine learning identified six core driver genes (COL1A1, INHBA, PKM2, THBS2, MFAP2, and CPA2) with high diagnostic potential (AUC>0.85). Molecular simulations confirmed ZEN forms stable complexes with core targets, particularly PKM2 and THBS2. In vitro experiments showed low concentrations of ZEN (40-80 nM) significantly promoted proliferation and migration of MKN-45 cells, demonstrating a hormetic effect. Discussion: This study suggests ZEN promotes GC progression through a multi-level network. ZEN may directly modulate key effector proteins such as PKM2 to induce metabolic reprogramming. The observed hormetic pro-proliferative and pro-migratory responses were linked to the pre-existing activation state of the PI3K/Akt pathway. These findings provide novel mechanistic insights into the carcinogenic risk of ZEN.

Frontiers in OncologyVol. 16
Fujian University of Traditional Chinese Medicine (CN), 117th Hospital of People's Liberation Army (CN)
Good health and well-being
Openalex Percentile: Top 31%
Mycotoxins in Agriculture and Food
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