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Gene expression

CDK2 anchors an immune/ceRNA prognosis model in LUAD

Liu TT, Li R, Huo C, et al. · Frontiers in cell and developmental biology · 2021

Open access · cc by · source: Europe PMC

Across GEO/TCGA analyses, CDK2 is upregulated with strong LUAD survival association and is embedded in immune, Nomogram, ceRNA, and drug-IC50 networks.

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  • Both markers track immune infiltration, which is what a single-gene score is often measuring.

    Single genes recur as prognostic markers across cancers. CDK2 showed highly significant prognostic value in lung adenocarcinoma (P = 5.8e-15) with higher tumour than normal expression and stage and survival links across a pan-cancer analysis; ITGAL discriminated gastric cancer with AUC 0.798 and correlated with CD8 T-cell infiltration (rho = 0.732).

    Evidence for the claim as stated.

  • What counts as validation differs sharply across this literature. The immune aging clocks report internal and external validation on independent data, while the single-gene cancer markers are assessed within the same public repositories used to select them — so the reported AUCs and hazard ratios are not measuring the same property.

    Evidence for the claim as stated.

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CDK2 anchors an immune/ceRNA prognosis model in LUAD

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250 overlapping DEGs identified

A total of 250 differentially expressed genes (DEGs) were identified to participate in many cancer-related pathways, such as activation of immune response, cell adhesion, migration, P13K-AKT signaling pathway.

CDK2 LUAD survival P = 5.8e-15

The target molecule CDK2 had prognostic value for the survival of patients in LUAD ( P = 5.8e-15).
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Key findings

CDK2 had highly significant LUAD prognostic value (P=5.8e-15) and higher tumor vs normal expression. Pan-cancer analyses showed stage/survival links. Immune modulator genes and a ceRNA network (lncRNAs–miRNAs–CDK2) were constructed; CDK2 associated with IC50 of 89 antitumor drugs.

Methodology

Liu et al. found 250 overlapping DEGs (P<0.01, |logFC|>2), prioritized CDK2, then used UALCAN/Oncomine/TIMER and R survival tools for pan-cancer/LUAD expression and prognosis, built Nomogram and Cox immune forecast models, assembled a ceRNA network, and correlated CDK2 with GDSC drug IC50s.

Limitations

Purely observational public-data associations—no wet-lab causal validation. Nomogram clinical deployment needs prospective calibration.

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