There was no statistically significant difference between the different marker densities, and no statistical evidence of a trend with increasing marker density.
Consistent with our observations on the CD80 marker, we also found a similar trend with the expression of CD86 marker; that is, treatment of H37Rv-infected DCs with 10 mM NAC and 20 μM L-GSH resulted in 2.5-fold increase in the expression of CD86 compared to H37Rv-infected DCs and 5-fold increase in comparison to uninfected control.
HaploMax presented an erratic trend with the marker density.
For both the new markers and the old ones the classification accuracy shows a slight decreasing trend with time.
Interestingly, overall the QSS mildly increased over time from diagnosis (0.13 points each year), which was due to a level increase in the IgA marker ACCA with a trend to increased levels for Anti-L and Anti-C (Table 3).
Notably, we have observed a significant correlation between extracapsular spread and overexpression of CYGB and consistent trends with other prognostic markers, including depth of invasion and lymph node involvement.
Furthermore, these markers showed a trend for correlation with clinical conditions.
For the blood count data, the platelet count (Plt) surfaces as a strong pro-longevity prognostic marker, with a longitudinally increasing trend, particularly in males.
For example, POU5F1 (OCT4), NANOG, and BLBP (FABP7) (shown in Figures 8(A), (B) and 8(C), respectively) have been identified as important marker genes (with the same monotonic trends as observed in our study) in a microarray time series analysis (a neurogenesis experiment from day 0 to day 8) and further validated using RT-PCR [ 1].
SHS exposure exhibited graded trends with several, although not all inflammatory, hemostatic and endothelial markers which are also related to active smoking.
