Identification of key ferroptosis genes and mechanisms associated with breast cancer using bioinformatics, machine learning, and experimental validation

Shuang Liang; Yan-Ming Bai; Bo Zhou

doi:doi:10.18632/aging.205459

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Research Paper Volume 16, Issue 2 pp 1781—1795

Identification of key ferroptosis genes and mechanisms associated with breast cancer using bioinformatics, machine learning, and experimental validation

Figure 7. Ferroptosis detection in breast cancer cells. (A) GSH levels detection. (B) MDA levels detection. (C) Fe²⁺ levels detection. (D, E) ROS levels detection. The bar graphs show the mean ± SD of at least three independent experiments (n = 3). ^**P < 0.01, compared to the Control group, the difference is extremely significant.