In summary, analyses of gene distributions in large-scale omics data reveal that PIK3CA, NF1, EIF1AY, IGF1R, NRAS, KDM5D, UTY, and PPP6C display gender-specific expression patterns, indicating their potential crucial roles in gender-related cancers. The gene discussed is KDM5D; the disease is cancer.