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This is a Quantitative Study study.

October 3, 2025Frontiers in ImmunologyOpen Access

Integrative multidimensional analysis of age-associated synthetic lethal genes and development of a prognostic model in breast cancer

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Observational analysis identified 16 age-associated synthetic lethal genes in breast cancer, suggesting new biomarkers and therapeutic targets.

Sixteen age-associated synthetic lethal genes were identified, with NEK2, IBSP, and PYCR1 showing diagnostic value over 0.90.
Differential expression analysis revealed crucial pathways involved, including cell cycle and drug resistance.
Machine learning confirmed SLC7A5 as a significant candidate, linking metabolic regulation to breast cancer risk.
These findings highlight the potential for early diagnosis and metabolism-based therapies in breast cancer.

Wu et al. (2025) studied this question.

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Observational analysis identified 16 age-associated synthetic lethal genes in breast cancer, suggesting new biomarkers and therapeutic targets.