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Even though it is possible to assess time points of metabolic changes between infected and mock-infected cells based on the shown intracellular metabolite profiles, further calculations were performed to yield a more precise estimate of the overall time point for the switch of metabolism.
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These same diagnoses criteria were used for all assessed time points.
The addition of basic demographic information did not change the results at any of the assessed time points.
Mean observed bevacizumab concentrations were generally less than those predicted from simulations with overlapping 95%-confidence intervals at each of the assessed time points.
At all assessed time points, little or no ATF-3 expression was observed, with a maximum of two ATF-3-positive cells per DRG section.
Absolute levels of CYFRA 21-1, CA 19-9 and CEA showed an excellent correlation with treatment response at almost all assessed time points (see Table 2).
Furthermore, for the assessed time points, no abnormal tissue organization could be seen at the implantation sites, apart from the necessary wound healing.
CYFRA 21-1 showed a strong correlation with TTP and OS at all assessed time points in the univariate evaluation (P<0.0001, for details see Table 4).
Interestingly, the main determinant for response was the absolute CYFRA 21-1 level (at any of the assessed time points) rather than the kinetics during chemotherapy (see Table 2); an observation that also holds true for CA 19-9 and CEA.
The comparison of the two assessed time points 'early limitation' and 'full limitation' revealed that these two datasets are very coherent: ~60-70% of the genes of the 'full' response are already responding in the 'early' stage of limitation.
In contrast, we observed an increased amount of latent TGF-β1 levels at all assessed time points as revealed when latent TGF-β1 in the samples were activated using hydrochloric acid to measure the total amount of TGF-β1 available.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com