Tumor Take Rate Optimization for Colorectal Carcinoma Patient-Derived Xenograft Models.

Biomed Res Int · 2016 · PMC5141319 · PMID 27999790

Europe PMC DOI

hedged sentences

0.0600

closest p · 1.2× alpha

0.0600

boldest claim

The sentences

failed to reach statistical significancep = 0.06so close (0.05 < p ≤ 0.1)

Take rate analysis of this group (24 h cooling) compared to the group of direct cryopreservation (no cooling) revealed a profoundly diminished take rate which barely failed to reach statistical significance (without Matrigel: n = 6 takes with no cooling versus n = 2 takes with 24 h cooling; p = 0.06). 3.3.

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a strong trendp = 0.06so close (0.05 < p ≤ 0.1)

Though not significant, however showing a strong trend ( p = 0.06), this result could be explained by biological degradation processes impairing cell viability and fitness.

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