“
“The translation of analgesic efficacy seen in preclinical pain models into the clinic is problematic and is associated with a number of factors that may result in the failure of clinical trials to detect the effect of investigational therapeutic agents. The use of translational pain biomarkers in phase I trials can potentially reduce some of these risks by measuring the interaction between the drug and LCL161 solubility dmso its target ( termed target engagement)

in humans. To serve this purpose, sensory tests and other measures of pharmacological activity in nociceptive pathways need to be identified, based on the preclinical profile of the drug being tested and the feasibility of human assessments. Here we discuss some examples to assess the utility of sensory and related pain biomarkers in the early phase of evaluation of novel analgesics for confirmation of target engagement in humans. The emphasis is on the TRPV1 antagonists, but some other target mechanisms are also discussed in examining the validity of this approach.”
“Purpose: Recent studies have identified 2 distinct genetic variants PF299804 chemical structure along chromosome 17, including allele T of single nucleotide polymorphism rs4430796 on 17q12 and allele G of single nucleotide polymorphism rs1859962 on 17q24, that have been

linked to prostate cancer risk. Less is known about tumor pathological features in carriers of these variants.

Materials and Methods: Genotypes for regions 17q12 and 17q24 were determined in 759 white men with prostate cancer and compared to those in 790 healthy control volunteers using logistic regression. In patients with prostate cancer the Fisher exact or Kruskal-Wallis test was used as appropriate to assess the relationship(s) between clinical and pathological characteristics with 17q carrier status.

Results: The frequency of the 17q12 and 17q24 genetic variants was significantly higher in MYO10 patients with prostate cancer compared to that in controls (OR 1.32, 1.15, respectively). Of patients with prostate cancer 83% and 77% were carriers of the 17q12 and 17q24 variants as well as 75% and 75% of controls, respectively. Carriers of 17q12 risk variants

were significantly more likely to have high grade disease using an additive best fit genetic model. In addition, there were trends toward adverse pathological features associated with 17q12 independent of the best fit genetic model.

Conclusions: Sequence variants along 17q12 and 17q24 were present in a significantly higher proportion of our prostate cancer cases than in our controls. Adverse pathological features, including higher Gleason grade and pathological stage, were more frequent in 17q12 carriers. Since these alleles may act in conjunction with variants on other chromosomes to influence prostate cancer risk, additional research is required to determine the cumulative associations of genetic risk variants with prognosis.