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We hypothesized that MPO level may predict clinical outcomes in patients with end-stage renal disease receiving long-term peritoneal dialysis (PD) therapy.
Here, we used diffusion imaging to explore whether regional differences in white matter microstructure prior to treatment may predict clinical response 24 h following ketamine infusion in 10 MDD patients.
Therefore, the presence of the Core MYC Signature may predict clinical responsiveness to therapeutics that are designed to disrupt MYC-mediated phenotypes.
These data indicate an activated B cell status for CLL cells and suggest that the direction of change of individual miRNAs may predict clinical course in CLL.
Therefore, the presence of the Core MYC Signature may predict clinical responsiveness to drugs that are designed to disrupt MYC-mediated phenotypes.
Identification of the molecular characteristics of the tumor microenvironment and elucidation of its crosstalk with tumor cells may therefore be crucial for improving our understanding of the processes implicated in cancer progression, identifying potential therapeutic targets, and uncovering stromal gene expression signatures that may predict clinical outcome.
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Taken together, these comparisons of licensed antiretrovirals in each major class suggest that the SCID-hu Thy/Liv model may also predict clinical antiviral efficacy in humans.
Prognostic factors that may help predict clinical outcome include cytogenetic subgroup, immunoglobulin mutational status, ZAP-70, and CD38 (see for instance [1]).
It should be kept in mind that in vitro susceptibility may not predict clinical efficacy of antimicrobial agents in S. maltophilia infections [ 136].
Studies have shown that miR profiling can differentiate tumor from normal cells, different tumor histological subtypes from each other, and may potentially predict clinical outcome [ 6– 8].
Still, these preliminary results underscore the possibility of generating a genomic profile that may help predict clinical outcome to a given chemotherapeutic regimen.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com