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Sex-Specific Lung Cancer Therapy: Multi-Omics Networks

September 29, 2025 Jennifer Chen Health
News Context
At a glance
  • Here's a breakdown ⁣of the key findings regarding sex-biased ⁤drug responses from the provided text, referencing Figure 5B:
  • * ⁢ Danusertib (Aurora Kinase Inhibitor): Showed significantly greater inhibitory effects in female LUAD cell lines compared to male cell lines (p-value = 0.0021).
  • In summary: The study found several drugs with significantly different responses based on the sex of the LUAD ⁤cell ‍lines, consistent with the sex-biased signaling network analysis conducted.
Original source: bsd.biomedcentral.com

Here’s a breakdown ⁣of the key findings regarding sex-biased ⁤drug responses from the provided text, referencing Figure 5B:

* ⁢ Danusertib (Aurora Kinase Inhibitor): Showed significantly greater inhibitory effects in female LUAD cell lines compared to male cell lines (p-value = 0.0021). This ‍aligns with ⁣higher AURKA activity observed in females.
* Beclomethasone (NR3C1 Agonist): Demonstrated higher sensitivity in female ⁢ cell lines (p-value =⁢ 0.0025), supporting the finding that males have stronger⁤ NR3C1 activity. Other synthetic corticosteroids showed similar results.
* Sex Steroid Hormone Receptors (AR and ESR1): Were differentially targeted by various modulators, agonists, and ‍destabilizers (p-values < 0.05).
* MAPK14 and MAPK1 inhibitors: Exhibited sex-biased effects (p-values < 0.05).
* ⁤ PCI-34,051 (HDAC ⁢Inhibitor): Showed significantly higher sensitivity in male LUAD cell lines compared ⁣to females (p-value = 0.0137).

In summary: The study found several drugs with significantly different responses based on the sex of the LUAD ⁤cell ‍lines, consistent with the sex-biased signaling network analysis conducted. Female cell lines generally responded better to drugs targeting⁤ AURKA and ‍NR3C1, while male cell lines‍ showed a better response to the HDAC inhibitor PCI-34,051.

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Related

Apollo, CPTAC, Drug repurposing, Endocrinology, Human Physiology, Lung adenocarcinoma, Multi-omics, Post-translational modifications, PRISM, Protein signaling network, Sex differences, TCGA

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