There was a significant correlation between these two expression levels (γ =0.87, P<0.01).
However, there is no association between these two protein expressions in low grade CIN specimens.
Happy and angry faces were chosen to represent positive and negative feedback because the valence difference between these two facial expressions is known to be maximal (Russell and Bullock, 1985).
For the comparison of gene expression levels between these two platforms, expression levels were further normalized by the "normalizeBetweenArrays" tool in limma package.
After revealing the correlation of Pyk2 and Pyk2[pY881] expression with clinicopathologic characteristics, we intended to investigate the relationship between these two protein expression levels and patients' survival.
The correlation between these two genes expression profiles is 0.1965.
Notably, no probe sets from the β-tubulin index comprised an element within the DLDA30 predictor, suggesting minimal overlap between these two gene expression based predictors.
Our future study will focus on the confirmation of the relationship between these two genes expression in malignant effusions and patients' clinical response in clinical trial.
Interestingly, only one probe set from the TOP2A index also comprised an element in the DLDA30 predictor, suggesting minimal overlap between these two gene expression based predictors.
Or, it may be that the amount of TRPV6 channel differs between these two forms, because of expression or stability differences in vivo.
