A multi-omics deep learning model for hypoxia phenotype to predict tumor aggressiveness and prognosis in uveal melanoma for rationalized hypoxia-targeted therapy.

Comput Struct Biotechnol J · 2022 · PMC9232399 · PMID 35782742

Europe PMC DOI

hedged sentences

0.0052

closest p · 0.1× alpha

0.0920

boldest claim

The sentences

highly significantP = 0.0052actually significant

Kaplan-Meier analysis showed a highly significant difference in overall survival between the high hypoxia (i.e., hypoxic) group and the low hypoxia (i.e., normoxic) group in the TCGA cohort ( P = 0.0052, log-rank test, Fig. 1 D).

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marginally significantP = 0.092so close (0.05 < p ≤ 0.1)

Specifically, there were no significant differences in hypoxia between the T category but a marginally significant association between tumor hypoxia and metastasis status ( P = 0.092, Mann-Whitney U test, Fig. 1 B).

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