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<p>Increasing evidence suggests that disulfidptosis plays a crucial role in tumorigenesis and progression. This study aimed to identify biomarkers closely associated with disulfidptosis in anaplastic thyroid carcinoma (ATC). Utilizing ATC-related datasets (GSE65144, GSE9115, GSE27155, and GSE53072) in conjunction with disulfide bond-related genes (DRGs) identified in the literature, differentially expressed genes (DEGs) were screened from the GSE65144 and GSE9115 datasets. A total of 113 common DEGs were identified through cross-sectional analysis. Weighted gene co-expression network analysis (WGCNA) was employed to screen genes related to disulfidptosis and ATC, and five biomarkers—ATP1B3, TFF3, LGALS1, ADAM12, and COL1A2—were identified using machine learning algorithms. A nomogram model constructed based on these markers demonstrated high accuracy. In vitro validation revealed that ATP1B3 knockdown significantly inhibited tumor growth, indicating its potential anti-ATC activity. Furthermore, laser confocal microscopy, flow cytometry, and other experimental methods suggested a correlation between ATP1B3 and disulfidptosis. These findings highlight ATP1B3, TFF3, LGALS1, ADAM12, and COL1A2 as potential disulfidptosis-related biomarkers in ATC. This study provides a theoretical foundation for understanding the role of disulfidptosis in ATC pathogenesis and suggests that ATP1B3 may serve as a promising therapeutic target.</p>

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Identification and molecular typing of disulfidptosis-related biomarkers in anaplastic thyroid carcinoma

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月22日

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  • Weidong Teng,
  • Yawen Guo,
  • Lingling Ding,
  • Aoni Zhou,
  • Yehao Guo,
  • Jiantong He,
  • Lirong zhang,
  • Haolan Yu,
  • Zekai Tao,
  • Jiafeng Wang,
  • Jiajie Xu,
  • Zhuo Tan,
  • Liehao Jiang

摘要

Increasing evidence suggests that disulfidptosis plays a crucial role in tumorigenesis and progression. This study aimed to identify biomarkers closely associated with disulfidptosis in anaplastic thyroid carcinoma (ATC). Utilizing ATC-related datasets (GSE65144, GSE9115, GSE27155, and GSE53072) in conjunction with disulfide bond-related genes (DRGs) identified in the literature, differentially expressed genes (DEGs) were screened from the GSE65144 and GSE9115 datasets. A total of 113 common DEGs were identified through cross-sectional analysis. Weighted gene co-expression network analysis (WGCNA) was employed to screen genes related to disulfidptosis and ATC, and five biomarkers—ATP1B3, TFF3, LGALS1, ADAM12, and COL1A2—were identified using machine learning algorithms. A nomogram model constructed based on these markers demonstrated high accuracy. In vitro validation revealed that ATP1B3 knockdown significantly inhibited tumor growth, indicating its potential anti-ATC activity. Furthermore, laser confocal microscopy, flow cytometry, and other experimental methods suggested a correlation between ATP1B3 and disulfidptosis. These findings highlight ATP1B3, TFF3, LGALS1, ADAM12, and COL1A2 as potential disulfidptosis-related biomarkers in ATC. This study provides a theoretical foundation for understanding the role of disulfidptosis in ATC pathogenesis and suggests that ATP1B3 may serve as a promising therapeutic target.