Gene expression profiling of ovarian cancer reveals candidate diagnostic and prognostic biomarkers: An integrated bioinformatics approach.

Cancer Biomark · 2026 · PMC13369421 · PMID 42445957

Europe PMC DOI

hedged sentences

0.0001

closest p · 0.0× alpha

0.0400

boldest claim

The sentences

highly significantp < 0.0001actually significant

The most strongly associated genes were CCNB1, KIF2C, MAD2L1, MCM4, and TOP2A, all of which demonstrated highly significant associations (p < 0.0001).

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nominally significantp ≤ 0.040actually significant

CAV1, PDPN, and ZFPM2 also demonstrated nominally significant differences across specific age group comparisons (p ≤ 0.040), though their patterns were comparatively less consistent.

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