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<p>Endocrine-disrupting chemicals (EDCs) are prevalent in various aspects of daily life, impacting the homeostasis of physiological processes and potentially contributing to the pathogenesis of cancer. Bladder cancer (BLCA) is the most common malignancy of the urinary system and one of the most prevalent malignancies globally. Cellular senescence is increasingly recognized as a key factor in cancer development. However, research remains limited regarding how EDCs influence BLCA through senescence-related genes (SRGs). In this study, expression data and clinical information were sourced from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Senescence phenotype-related differentially expressed genes (DEGs) were identified. A senescence-related risk model was developed and validated by TCGA and GEO datasets. EDCs targeting DEGs, were extrapolated using the chemical toxicogenomic database (CTD). A Sankey diagram is employed to visualize the relationships between EDCs and key genes, identifying AKR1B1, EPHA3, IRF5, PGR, SREBF1 and TEAD4, as key factors in predicting cellular senescence in BLCA. Finally, molecular docking analysis was conducted to investigate the interaction between key genes and EDCs, thereby validating their feasibility. Our findings provide new insights into the role of SRGs in BLCA stratification and precision medicine. Furthermore, we elucidated the relationship between EDC-mediated cell SRGs and the pathogenesis of BLCA.</p>

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Development and validation of a novel senescence-associated gene signature for prediction of survival and endocrine-disrupting chemicals in bladder cancer

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月7日

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  • Maohua Qin,
  • Guofeng Xie,
  • Haimeng Xie,
  • Baisheng Lin,
  • Zili Dai,
  • Zijin Cheng,
  • Li Wang,
  • Jian Zhang,
  • Feixiang Wang

摘要

Endocrine-disrupting chemicals (EDCs) are prevalent in various aspects of daily life, impacting the homeostasis of physiological processes and potentially contributing to the pathogenesis of cancer. Bladder cancer (BLCA) is the most common malignancy of the urinary system and one of the most prevalent malignancies globally. Cellular senescence is increasingly recognized as a key factor in cancer development. However, research remains limited regarding how EDCs influence BLCA through senescence-related genes (SRGs). In this study, expression data and clinical information were sourced from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Senescence phenotype-related differentially expressed genes (DEGs) were identified. A senescence-related risk model was developed and validated by TCGA and GEO datasets. EDCs targeting DEGs, were extrapolated using the chemical toxicogenomic database (CTD). A Sankey diagram is employed to visualize the relationships between EDCs and key genes, identifying AKR1B1, EPHA3, IRF5, PGR, SREBF1 and TEAD4, as key factors in predicting cellular senescence in BLCA. Finally, molecular docking analysis was conducted to investigate the interaction between key genes and EDCs, thereby validating their feasibility. Our findings provide new insights into the role of SRGs in BLCA stratification and precision medicine. Furthermore, we elucidated the relationship between EDC-mediated cell SRGs and the pathogenesis of BLCA.