Potential clinical usefulness of these markers for predicting new onset of MetS is represented by sensitivities, specificities, positive predictive values, and negative predictive values for sex-specific cut points we derived from receiver-operating characteristics curve analyses (Supplementary Table 3).
Therefore, it is imperative to pay more attention to the investigation of novel specific markers for predicting tumorigenesis, metastasis, recurrence and prognosis for HCC patients.
More strikingly, we also reveal that SERPINB2 has the capacity to regulate the proliferation and differentiation potential of human stem cells, suggesting that SERPINB2 can be used as one of the possible markers for predicting toxicity.
These data provide candidate targets for design of novel therapies and for identification of biomarkers or surrogate markers for predicting the outcome or therapy response.
We comment on the utility of genetic markers for predicting an individual's disease risk and discuss their potential for identifying novel drug targets and influencing disease management.
To investigate whether the DNA repair genes, X-ray repair cross-complementing group 4 (XRCC4) and xeroderma pigmentosum group D (XPD), could be useful markers for predicting leiomyoma susceptibility.
Our findings may provide novel genetic markers for predicting the immunogenicity of PEG and efficacy of PEGylated therapeutics.Some individuals develop antibodies against the polyethylene glycol that is commonly used in therapeutic preparations.
It also was reported that plasma levels of vWF did not appear to serve as useful markers for predicting ARDS in patients at risk and mortality in ARDS patients [35 37].
Circadian biomarkers are potential markers for predicting the response to Li because Li is thought to help stabilize circadian rhythms in BD and to prevent circadian rhythm desynchronization (Klemfuss 1992).
The successful employment of quantitative PCR to measure viral load in clinical medicine has not only advanced our understanding of pathogenesis of many viral diseases but also provided useful markers for predicting outcome and/or monitoring therapeutic responses [1].
Cox proportional hazards models demonstrated that an optimal panel of markers for predicting risk of developing cognitive impairment (CDR 0 to CDR>0 conversion) consisted of calbindin, Aβ42, and age.
