Immune Infiltration-Related Genes as Potential Biomarkers and Predicted Targets for Renal Allograft Delayed Graft Function and Survival Outcome: An Integrated Machine Learning Approach and Drugs Analysis.

Mediators Inflamm · 2026 · PMC13261374 · PMID 42283098

Europe PMC DOI

hedged sentences

0.0100

closest p · 0.2× alpha

0.0100

boldest claim

The sentences

highly significantp < 0.01actually significant

Specifically, Klf6 showed highly significant upregulation ( ∗∗ p < 0.01), whereas Bag3, Serpinh1, and Slc2a3 were significantly increased ( ∗ p < 0.05).

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did not reach statistical significanceno p-value reported

Our analysis unveiled a higher abundance of immature DCs and macrophages in the high‐risk group, while the abundance of neutrophils did not reach statistical significance.

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